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Lung-Fei Lee

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Author Profile
    1. The 1993 Econ Ph.D. Cohort
      by Matthew Kahn in Environmental and Urban Economics on 2015-12-04 09:31:00
    2. Ranking Economists as of December 2015
      by Matthew Kahn in Environmental and Urban Economics on 2016-01-07 22:27:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Ji Li & Lung‐fei Lee, 2009. "Binary choice under social interactions: an empirical study with and without subjective data on expectations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(2), pages 257-281, March.

    Mentioned in:

    1. Binary choice under social interactions: an empirical study with and without subjective data on expectations (Journal of Applied Econometrics 2009) in ReplicationWiki ()

Working papers

  1. Hsieh, Chih-Sheng & Lee, Lung fei, 2017. "Specification and Estimation of Network Formation and Network Interaction Models with the Exponential Probability Distribution," MPRA Paper 60726, University Library of Munich, Germany.

    Cited by:

    1. Patacchini, Eleonora & Battaglini, Marco & Rainone, Edoardo, 2019. "Endogenous Social Connections in Legislatures," CEPR Discussion Papers 13845, C.E.P.R. Discussion Papers.
    2. Alejandra Agustina Martínez, 2023. "Raise your voice! Activism and peer effects in online social networks," Discussion Papers 2023-05, Nottingham Interdisciplinary Centre for Economic and Political Research (NICEP).
    3. Charroin, Liza & Fortin, Bernard & Villeval, Marie Claire, 2022. "Peer effects, self-selection and dishonesty," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 618-637.
    4. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2019. "Peer Effects in Networks: a Survey," Working Papers halshs-02440709, HAL.
    5. Áureo de Paula, 2020. "Econometric Models of Network Formation," CeMMAP working papers CWP4/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Liza Charroin & Bernard Fortin & Marie Claire Villeval, 2022. "Peer effects, self-selection and dishonesty," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03712450, HAL.
    7. David R. Agrawal & Marie-Laure Breuillé & Julie Le Gallo, 2024. "Tax Competition with Intermunicipal Cooperation," CESifo Working Paper Series 11334, CESifo.
    8. Anton Badev, 2021. "Nash Equilibria on (Un)Stable Networks," Econometrica, Econometric Society, vol. 89(3), pages 1179-1206, May.
    9. Áureo de Paula, 2016. "Econometrics of network models," CeMMAP working papers CWP06/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Alejandra Agustina Martínez, 2023. "Raise your Voice! Activism and Peer Effects in Online Social Networks," Working Papers 277, Red Nacional de Investigadores en Economía (RedNIE).
    11. Vincent Boucher & Finagnon A. Dedewanou & Arnaud Dufays, 2018. "Peer-Induced Beliefs Regarding College Participation," Cahiers de recherche 1817, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    12. Chih-Sheng Hsieh & Michael D. Konig & Xiaodong Liu, 2022. "A Structural Model for the Coevolution of Networks and Behavior," The Review of Economics and Statistics, MIT Press, vol. 104(2), pages 355-367, May.
    13. Vincent Boucher & Carlo del Bello & Fabrizio Panebianco & Thierry Verdier & Yves Zenou, 2023. "Education Transmission and Network Formation," PSE-Ecole d'économie de Paris (Postprint) halshs-03953926, HAL.
    14. Boucher, Vincent, 2020. "Equilibrium homophily in networks," European Economic Review, Elsevier, vol. 123(C).
    15. Hsieh, Chih-Sheng & Lin, Xu, 2017. "Gender and racial peer effects with endogenous network formation," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 135-147.
    16. Biavaschi, Costanza & Giulietti, Corrado & Zenou, Yves, 2022. "Social Networks and (Political) Assimilation in the Age of Mass Migration," GLO Discussion Paper Series 1049, Global Labor Organization (GLO).
    17. Tiziano Arduini & Edoardo Rainone, 2024. "Partial identification of treatment response under complementarity and substitutability," Temi di discussione (Economic working papers) 1473, Bank of Italy, Economic Research and International Relations Area.
    18. Liza Charroin & Bernard Fortin & Marie Claire Villeval, 2022. "Peer effects, self-selection and dishonesty," Post-Print hal-03712450, HAL.

  2. Nicolas Debarsy & Fei Jin & Lung-Fei Lee, 2015. "Large sample properties of the matrix exponential spatial specification with an application to FDI," Post-Print hal-00858174, HAL.

    Cited by:

    1. Yong Bao & Xiaotian Liu & Lihong Yang, 2020. "Indirect Inference Estimation of Spatial Autoregressions," Econometrics, MDPI, vol. 8(3), pages 1-26, September.
    2. Badi H. Baltagi & Alain Pirotte & Zhenlin Yang, 2021. "Diagnostic tests for homoskedasticity in spatial cross-sectional or panel models," Post-Print hal-04120461, HAL.
    3. R. Kelley Pace & Raffaella Calabrese, 2022. "Ignoring Spatial and Spatiotemporal Dependence in the Disturbances Can Make Black Swans Appear Grey," The Journal of Real Estate Finance and Economics, Springer, vol. 65(1), pages 1-21, July.
    4. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar & Wolfgang Schmid & Anil K. Bera, 2023. "Spatial and Spatiotemporal Volatility Models: A Review," Papers 2308.13061, arXiv.org.
    5. Ye Yang & Osman Doğan & Süleyman Taşpınar, 2021. "Fast estimation of matrix exponential spatial models," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-50, December.
    6. Bing Su & Fukang Zhu & Ke Zhu, 2023. "Statistical inference for the logarithmic spatial heteroskedasticity model with exogenous variables," Papers 2301.06658, arXiv.org.
    7. Jin, Fei & Lee, Lung-fei, 2019. "GEL estimation and tests of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 208(2), pages 585-612.
    8. Liu, Tuo & Lee, Lung-fei, 2019. "A likelihood ratio test for spatial model selection," Journal of Econometrics, Elsevier, vol. 213(2), pages 434-458.
    9. Michael Pfarrhofer & Philipp Piribauer, 2018. "Flexible shrinkage in high-dimensional Bayesian spatial autoregressive models," Papers 1805.10822, arXiv.org.
    10. Zhenlin Yang, 2018. "Bootstrap LM tests for higher-order spatial effects in spatial linear regression models," Empirical Economics, Springer, vol. 55(1), pages 35-68, August.
    11. Fei Jin & Lung‐fei Lee & Kai Yang, 2024. "Best linear and quadratic moments for spatial econometric models with an application to spatial interdependence patterns of employment growth in US counties," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(4), pages 640-658, June.
    12. Abhimanyu Gupta & Xi Qu, 2021. "Consistent specification testing under spatial dependence," Papers 2101.10255, arXiv.org, revised Aug 2022.
    13. Zhang, Yuanqing & Feng, Shuhui & Jin, Fei, 2019. "QML estimation of the matrix exponential spatial specification panel data model with fixed effects and heteroskedasticity," Economics Letters, Elsevier, vol. 180(C), pages 1-5.
    14. Jin, Fei & Lee, Lung-fei, 2018. "Irregular N2SLS and LASSO estimation of the matrix exponential spatial specification model," Journal of Econometrics, Elsevier, vol. 206(2), pages 336-358.
    15. Ye Yang & Osman Dogan & Suleyman Taspinar & Fei Jin, 2023. "A Review of Cross-Sectional Matrix Exponential Spatial Models," Papers 2311.14813, arXiv.org.
    16. Kong, Wei & Yang, Kai, 2021. "Efficient GMM estimation of a spatial autoregressive model with an endogenous spatial weights matrix," Economics Letters, Elsevier, vol. 208(C).
    17. Bo Pieter Johannes Andree & Francisco Blasques & Eric Koomen, 2017. "Smooth Transition Spatial Autoregressive Models," Tinbergen Institute Discussion Papers 17-050/III, Tinbergen Institute.

  3. Liu, Xiaodong & Patacchini, Eleonora & Zenou, Yves & Lee, Lung-Fei, 2012. "Criminal Networks: Who is the Key Player?," Climate Change and Sustainable Development 128707, Fondazione Eni Enrico Mattei (FEEM).

    Cited by:

    1. Patacchini, Eleonora & Battaglini, Marco & Rainone, Edoardo, 2019. "Endogenous Social Connections in Legislatures," CEPR Discussion Papers 13845, C.E.P.R. Discussion Papers.
    2. Comola, Margherita & Rusinowska, Agnieszka & Villeval, Marie Claire, 2024. "Competing for Influence in Networks through Strategic Targeting," IZA Discussion Papers 17315, Institute of Labor Economics (IZA).
    3. Margherita Comola & Marcel Fafchamps, 2016. "The Missing Transfers: Estimating Mis-reporting in Dyadic Data," PSE-Ecole d'économie de Paris (Postprint) hal-01306614, HAL.
    4. Lindquist, Matthew J. & Zenou, Yves, 2014. "Key Players in Co-Offending Networks," IZA Discussion Papers 8012, Institute of Labor Economics (IZA).
    5. Amodio, Francesco, 2013. "Crime Protection Investment Spillovers: Theory and Evidence from the City of Buenos Aires," Research Department working papers 251, CAF Development Bank Of Latinamerica.
    6. Zenou, Yves & Helsley, Robert, 2011. "Social Networks and Interactions in Cities," CEPR Discussion Papers 8260, C.E.P.R. Discussion Papers.
    7. Arnaud Herault, 2019. "Occupational mismatch and network effects: Evidence from France," Post-Print hal-02860048, HAL.
    8. Mohamed Belhaj & Frédéric Deroïan, 2018. "Targeting the key player: An incentive-based approach," Post-Print hal-01981885, HAL.
    9. Chih-Sheng Hsieh & Michael D. König & Xiaodong Liu & Christian Zimmermann, 2018. "Superstar Economists: Coauthorship networks and research output," Working Papers 2018-28, Federal Reserve Bank of St. Louis.
    10. Gibbons, Steve & Overman, Henry G. & Patacchini, Eleonora, 2015. "Spatial Methods," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 115-168, Elsevier.
    11. Corinne Autant-Bernard, 2012. "Spatial Econometrics of Innovation: Recent Contributions and Research Perspectives," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(4), pages 403-419, December.
    12. Michael Koenig & Claudio Tessone & Yves Zenou, 2012. "Nestedness in Networks: A Theoretical Model and Some Applications," Discussion Papers 11-003, Stanford Institute for Economic Policy Research.
    13. Povilas Lastauskas & Eirini Tatsi, 2017. "Spatial Nexus in Crime and Unemployement in Times of Crisis," Bank of Lithuania Working Paper Series 39, Bank of Lithuania.
    14. Carlos Díaz & Eleonora Patacchini & Thierry Verdier & Yves Zenou, 2021. "Leaders in juvenile crime," Post-Print halshs-03956437, HAL.
    15. Topa, Giorgio & Zenou, Yves, 2015. "Neighborhood and Network Effects," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 561-624, Elsevier.
    16. Emeline Bezin & Thierry Verdier & Yves Zenou, 2022. "Crime, Broken Families, and Punishment," PSE-Ecole d'économie de Paris (Postprint) halshs-03344049, HAL.
    17. Arun Advani & Bansi Malde, 2018. "Credibly Identifying Social Effects: Accounting For Network Formation And Measurement Error," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1016-1044, September.
    18. Zenou, Yves & Chen, Ying-Ju & Zhou, Junjie, 2015. "Multiple Activities for Socially-Connected Criminals," CEPR Discussion Papers 10709, C.E.P.R. Discussion Papers.
    19. Zenou, Yves & Lindquist, Matthew & Sauermann, Jan, 2015. "Network Effects on Worker Productivity," CEPR Discussion Papers 10928, C.E.P.R. Discussion Papers.
    20. Jason M. Fletcher & Stephen L. Ross & Yuxiu Zhang, 2013. "The Consequences of Friendships: Evidence on the Effect of Social Relationships in School on Academic Achievement," NBER Working Papers 19215, National Bureau of Economic Research, Inc.
    21. Povilas Lastauskas & Eirini Tatsi, 2013. "Spatial Nexus in Crime and unemployment in Times of crisis: Evidence from Germany," Cambridge Working Papers in Economics 1359, Faculty of Economics, University of Cambridge.
    22. Liu, Xiaodong & Patacchini, Eleonora & Zenou, Yves, 2014. "Endogenous peer effects: local aggregate or local average?," Journal of Economic Behavior & Organization, Elsevier, vol. 103(C), pages 39-59.
    23. Margherita Comola & M. Mendola, 2015. "The Formation of Migrant Networks," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00977544, HAL.
    24. Ethan Cohen‐Cole & Xiaodong Liu & Yves Zenou, 2018. "Multivariate choices and identification of social interactions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(2), pages 165-178, March.
    25. Mohamed Belhaj & Yann Bramoullé & Frédéric Deroïan, 2012. "Network Games under Strategic Complementarities," Working Papers halshs-00793439, HAL.
    26. Zenou, Yves, 2012. "Networks in Economics," CEPR Discussion Papers 9021, C.E.P.R. Discussion Papers.
    27. Mohamed Belhaj & Frédéric Deroïan, 2010. "Competing Activities in Social Networks," Working Papers halshs-00481460, HAL.
    28. Michael D. König & Dominic Rohner & Mathias Thoenig & Fabrizio Zilibotti, 2016. "The Long-lasting Shadow of the Allied Occupation of Austria on its Spatial Equilibrium," HiCN Working Papers 231, Households in Conflict Network.
    29. Michael D. Koenig & Xiaodong Liu & Yves Zenou, 2014. "R&D Networks: Theory, Empirics and Policy Implications," Discussion Papers 13-027, Stanford Institute for Economic Policy Research.
    30. Patacchini, Eleonora & Rainone, Edoardo & Zenou, Yves, 2011. "Dynamic Aspects of Teenage Friendships and Educational Attainment," Research Papers in Economics 2011:4, Stockholm University, Department of Economics.
    31. Zenou, Yves & picard, pierre & Patacchini, Eleonora, 2015. "Urban Social Structure, Social Capital and Spatial Proximity," CEPR Discussion Papers 10501, C.E.P.R. Discussion Papers.
    32. Comola, Margherita & Fafchamps, Marcel, 2014. "Estimating Mis-reporting in Dyadic Data: Are Transfers Mutually Beneficial?," IZA Discussion Papers 8664, Institute of Labor Economics (IZA).
    33. Zenou, Yves & Jackson, Matthew O., 2012. "Games on Networks," CEPR Discussion Papers 9127, C.E.P.R. Discussion Papers.
    34. Zenou, Yves & Patacchini, Eleonora & Islam, Asad, 2015. "Teams, Organization and Education Outcomes: Evidence from a field experiment in Bangladesh," CEPR Discussion Papers 10631, C.E.P.R. Discussion Papers.
    35. Karin Eriksson & Randi Hjalmarsson & Matthew Lindquist & Anna Sandberg, 2016. "The importance of family background and neighborhood effects as determinants of crime," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(1), pages 219-262, January.
    36. Zenou, Yves & Patacchini, Eleonora & Liu, Xiaodong, 2013. "Peer Effects: Social Multiplier or Social Norms?," CEPR Discussion Papers 9366, C.E.P.R. Discussion Papers.
    37. Vincent Boucher & Bernard Fortin, 2015. "Some Challenges in the Empirics of the Effects of Networks," Cahiers de recherche 1504, CIRPEE.
    38. Patacchini, Eleonora & Rainone, Edoardo & Zenou, Yves, 2017. "Heterogeneous peer effects in education," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 190-227.
    39. Currarini, Sergio & Fumagalli, Elena & Panebianco, Fabrizio, 2013. "Games on Networks: Direct Complements and Indirect Substitutes," Climate Change and Sustainable Development 146349, Fondazione Eni Enrico Mattei (FEEM).
    40. Matthew O. Jackson & Brian Rogers & Yves Zenou, 2016. "The Economic Consequences of Social Network Structure," Monash Economics Working Papers 45-16, Monash University, Department of Economics.
    41. Eleonora Patacchini & Yves Zenou, 2016. "Social networks and parental behavior in the intergenerational transmission of religion," Quantitative Economics, Econometric Society, vol. 7(3), pages 969-995, November.
    42. Matthew O. Jackson & Brian W. Rogers & Yves Zenou, 2016. "Networks: An Economic Perspective," Papers 1608.07901, arXiv.org.
    43. Fletcher, Jason, 2024. "Adults Behaving Badly: The Effects of Own and Peer Parents’ Incarceration on Adolescent Criminal Activities," OSF Preprints 35a8w, Center for Open Science.
    44. Stephen B. Billings & David J. Deming & Stephen L. Ross, 2016. "Partners in Crime: Schools, Neighborhoods and the Formation of Criminal Networks," Working papers 2016-03, University of Connecticut, Department of Economics.
    45. William C. Horrace & Xiaodong Liu & Eleonora Patacchini, 2014. "Endogenous Network Production Functions with Selectivity," EIEF Working Papers Series 1406, Einaudi Institute for Economics and Finance (EIEF), revised Sep 2014.
    46. Marcel Fafchamps & Måns Söderbom, 2014. "Network Proximity and Business Practices in African Manufacturing," The World Bank Economic Review, World Bank, vol. 28(1), pages 99-129.
    47. Arun Advani & Bansi Malde, 2014. "Empirical methods for networks data: social effects, network formation and measurement error," IFS Working Papers W14/34, Institute for Fiscal Studies.
    48. Zenou, Yves & Ballester, Coralio, 2012. "Key Player Policies When Contextual Effects Matter," CEPR Discussion Papers 8806, C.E.P.R. Discussion Papers.
    49. Mohamed Belhaj & Frédéric Deroian, 2015. "Contracting on Networks," AMSE Working Papers 1501, Aix-Marseille School of Economics, France.
    50. Philippe, Arnaud, 2017. "Incarcerate one to calm the others? Spillover effects of incarceration among criminal groups: Job Market Paper," TSE Working Papers 17-840, Toulouse School of Economics (TSE).
    51. Margherita Comola & Agnieszka Rusinowska & Marie Claire Villeval, 2024. "Competing for Influence in Networks Through Strategic Targeting [En compétition pour l'influence dans les réseaux grâce au ciblage stratégique]," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-04706311, HAL.
    52. Grant Hillier & Federico Martellosio, 2013. "Properties of the maximum likelihood estimator in spatial autoregressive models," CeMMAP working papers 44/13, Institute for Fiscal Studies.
    53. Hahn, Youjin & Islam, Asadul & Patacchini, Eleonora & Zenou, Yves, 2015. "Network Structure and Education Outcomes: Evidence from a Field Experiment in Bangladesh," IZA Discussion Papers 8872, Institute of Labor Economics (IZA).
    54. Luisa Corrado & Salvatore Di Novo, 2018. "Estimating Models with Dynamic Network Interactions and Unobserved Heterogeneity," CEIS Research Paper 439, Tor Vergata University, CEIS, revised 06 Nov 2018.
    55. Fafchamps, Marcel & Caeyers, Bet, 2020. "Exclusion bias and the estimation of peer effects," CEPR Discussion Papers 14386, C.E.P.R. Discussion Papers.
    56. Grant Hillier & Federico Martellosio, 2013. "Properties of the maximum likelihood estimator in spatial autoregressive models," CeMMAP working papers CWP44/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    57. Nizar Allouch & Jayeeta Bhattacharya, 2021. "The Key Class in Networks," Studies in Economics 2110, School of Economics, University of Kent.
    58. Luca Colombo & Paola Labrecciosa & Agnieszka Rusinowska, 2022. "A Dynamic Analysis of Criminal Networks," Documents de travail du Centre d'Economie de la Sorbonne 22006, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    59. Zenou, Yves & Sommer, Marc, 2019. "Imperfect Information, Social Norms, and Beliefs in Networks," CEPR Discussion Papers 14087, C.E.P.R. Discussion Papers.
    60. Joan de Martí & Yves Zenou, 2015. "Network games with incomplete information," Post-Print hal-04329656, HAL.
    61. Zenou, Yves & Patacchini, Eleonora & Rainone, Edoardo, 2012. "Student Networks and Long-Run Educational Outcomes: The Strength of Strong Ties," CEPR Discussion Papers 9149, C.E.P.R. Discussion Papers.
    62. Comola, Margherita & Prina, Silvia, 2014. "Do Interventions Change the Network? A Panel Peer-Effect Model Accounting for Endogenous Network Changes," IZA Discussion Papers 8641, Institute of Labor Economics (IZA).
    63. Zenou, Yves, 2014. "Key Players," CEPR Discussion Papers 10277, C.E.P.R. Discussion Papers.
    64. Arnaud Herault, 2019. "Occupational mismatch and network effects: Evidence from France," Post-Print hal-02860040, HAL.
    65. Arun Advani & Bansi Malde, 2018. "Methods to identify linear network models: a review," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 154(1), pages 1-16, December.
    66. Ethan Cohen-Cole & Eleonora Patacchini & Yves Zenou, 2014. "Static and Dynamic Networks in Interbank Markets," EIEF Working Papers Series 1408, Einaudi Institute for Economics and Finance (EIEF), revised Sep 2014.
    67. Zhou, Junjie & Chen, Ying-Ju, 2015. "Key leaders in social networks," Journal of Economic Theory, Elsevier, vol. 157(C), pages 212-235.
    68. Junjie Zhou & Ying-Ju Chen, 2016. "Targeted Information Release in Social Networks," Operations Research, INFORMS, vol. 64(3), pages 721-735, June.
    69. Comola, Margherita & Prina, Silvia, 2023. "The Interplay among Savings Accounts and Network-Based Financial Arrangements: Evidence from a Field Experiment," IZA Discussion Papers 16303, Institute of Labor Economics (IZA).
    70. Philippe, Arnaud, 2017. "Incarcerate one to calm the others? Spillover effects of incarceration among criminal groups: Job Maket Paper," IAST Working Papers 17-70, Institute for Advanced Study in Toulouse (IAST).
    71. Deng, Liuchun & Sun, Yufeng, 2017. "Criminal network formation and optimal detection policy: The role of cascade of detection," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 43-63.
    72. Emerson Melo, 2018. "A Variational Approach to Network Games," Working Papers 2018.05, Fondazione Eni Enrico Mattei.
    73. Marcel Fafchamps & Di Mo, 2018. "Peer effects in computer assisted learning: evidence from a randomized experiment," Experimental Economics, Springer;Economic Science Association, vol. 21(2), pages 355-382, June.
    74. Simpson, Jesse R. & Mishra, Sabyasachee, 2021. "Developing a methodology to predict the adoption rate of Connected Autonomous Trucks in transportation organizations using peer effects," Research in Transportation Economics, Elsevier, vol. 90(C).

  4. Chihwa Kao & Lung-fei Lee & Mark M. Pitt, 2000. "Simulated Maximum Likelihood Estimation of the Linear Expenditure System with Binding Non-Negativity Constraints," CEMA Working Papers 50, China Economics and Management Academy, Central University of Finance and Economics, revised Apr 2001.

    Cited by:

    1. Obafèmi P Koutchadé & Alain Carpentier & Fabienne Femenia, 2020. "Modeling Corners, Kinks, and Jumps in Crop Acreage Choices: Impacts of the EU Support to Protein Crops," Post-Print hal-04665916, HAL.
    2. José M. Labeaga & Xavier Labandeira & Xiral López-Otero, 2018. "Energy Tax Reform and Poverty Alleviation in Mexico," Working Papers 1801, Universidade de Vigo, Departamento de Economía Aplicada.
    3. Millimet, Daniel L. & Tchernis, Rusty, 2008. "Estimating high-dimensional demand systems in the presence of many binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 147(2), pages 384-395, December.
    4. Pofahl, Geoffrey M. & Capps, Oral, Jr. & Clauson, Annette L., 2005. "Demand for Non-Alcoholic Beverages: Evidence From The ACNielsen Home Scan Panel," 2005 Annual meeting, July 24-27, Providence, RI 19441, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Nitin Mehta, 2015. "A Flexible Yet Globally Regular Multigood Demand System," Marketing Science, INFORMS, vol. 34(6), pages 843-863, November.
    6. Cassioli, A. & Di Lorenzo, D. & Sciandrone, M., 2013. "On the convergence of inexact block coordinate descent methods for constrained optimization," European Journal of Operational Research, Elsevier, vol. 231(2), pages 274-281.
    7. Raja Chakir & Alban Thomas, 2020. "Unintended consequences of environmental policies: the case of set-aside and agricultural intensification," Working Papers hal-02482207, HAL.
    8. Qian, Hang, 2009. "Estimating SUR Tobit Model while errors are gaussian scale mixtures: with an application to high frequency financial data," MPRA Paper 31509, University Library of Munich, Germany.
    9. Jean-Pierre H. Dubé, 2018. "Microeconometric Models of Consumer Demand," NBER Working Papers 25215, National Bureau of Economic Research, Inc.
    10. Solon, Gary, 2010. "A simple microeconomic foundation for a Tobit model of consumer demand," Economics Letters, Elsevier, vol. 106(2), pages 131-132, February.
    11. Prinz, Aloys & Bünger, Björn, 2012. "Balancing ‘full life’: An economic approach to the route to happiness," Journal of Economic Psychology, Elsevier, vol. 33(1), pages 58-70.
    12. Hanemann, Michael & Labandeira, Xavier & Labeaga, José M. & Vásquez-Lavín, Felipe, 2024. "Discrete-continuous models of residential energy demand: A comprehensive review," Resource and Energy Economics, Elsevier, vol. 77(C).
    13. C. J. Lin & S. Lucidi & L. Palagi & A. Risi & M. Sciandrone, 2009. "Decomposition Algorithm Model for Singly Linearly-Constrained Problems Subject to Lower and Upper Bounds," Journal of Optimization Theory and Applications, Springer, vol. 141(1), pages 107-126, April.
    14. Fabienne Femenia & Alain Carpentier & Obafemi Philippe Koutchade, 2018. "Dealing with corner solutions in multi-crop micro-econometric models: an endogenous regime approach with regime fixed costs," Post-Print hal-01879042, HAL.
    15. Pan, Suwen & Mohanty, Samarendu & Welch, Mark, 2008. "India Edible Oil Consumption: A Censored Incomplete Demand Approach," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(3), pages 1-15, December.
    16. Raja Chakir & Alban Thomas, 2003. "Simulated maximum likelihood estimation of demand systems with corner solutions and panel data application to industrial energy demand," Revue d'économie politique, Dalloz, vol. 113(6), pages 773-799.
    17. Malaga, Jaime E. & Pan, Suwen & Duch-Carvallo, Teresa, 2009. "Did Mexican Meat Demand Change under NAFTA?," 2009 Conference, August 16-22, 2009, Beijing, China 51430, International Association of Agricultural Economists.
    18. Gould, Brian W. & Lee, Yoonjung & Dong, Diansheng & Villarreal, Hector J., 2002. "Household Size And Composition Impacts On Meat Demand In Mexico: A Censored Demand System Approach," 2002 Annual meeting, July 28-31, Long Beach, CA 19722, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Gould, Brian W. & Yen, Steven T., 2002. "Food Demand In Mexico: A Quasi-Maximum Likelihood Approach," 2002 Annual meeting, July 28-31, Long Beach, CA 19667, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Leonardo Galli & Alessandro Galligari & Marco Sciandrone, 2020. "A unified convergence framework for nonmonotone inexact decomposition methods," Computational Optimization and Applications, Springer, vol. 75(1), pages 113-144, January.
    21. Andrea Manno & Laura Palagi & Simone Sagratella, 2018. "Parallel decomposition methods for linearly constrained problems subject to simple bound with application to the SVMs training," Computational Optimization and Applications, Springer, vol. 71(1), pages 115-145, September.
    22. Golan, Amos & LaFrance, Jeffrey T & Perloff, Jeffrey M. & Seabold, Skipper, 2017. "Estimating a Demand System with Choke Prices," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4qt9q8vr, Department of Agricultural & Resource Economics, UC Berkeley.
    23. Vithala R. Rao & Gary J. Russell & Hemant Bhargava & Alan Cooke & Tim Derdenger & Hwang Kim & Nanda Kumar & Irwin Levin & Yu Ma & Nitin Mehta & John Pracejus & R. Venkatesh, 2018. "Emerging Trends in Product Bundling: Investigating Consumer Choice and Firm Behavior," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 107-120, March.
    24. Cristian Ricardo Nogales Carvajal, 2009. "Un sistema lineal de gasto: identificando patrones de consumo de alimentos en Bolivia," Investigación & Desarrollo, Universidad Privada Boliviana, vol. 1(1), pages 27-43.

  5. Lee, L.F., 1994. "Simulated Maximum Likelihood Estimation of Dynamic Discrete Choice Statistical Models--Some Monte Carlo Results," Papers 94-06, Michigan - Center for Research on Economic & Social Theory.

    Cited by:

    1. Yongsung Chang & Sunoong Hwang, 2011. "Asymmetric Phase Shifts in the U.S. Industrial Production Cycles," RCER Working Papers 564, University of Rochester - Center for Economic Research (RCER).
    2. Brännäs, Kurt & Simonsen, Ola, 2003. "Discretized Time and Conditional Duration Modelling for Stock Transaction Data," Umeå Economic Studies 610, Umeå University, Department of Economics.
    3. Guevara, C. Angelo & Tang, Yue & Gao, Song, 2018. "The initial condition problem with complete history dependency in learning models for travel choices," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 850-861.
    4. Roman Liesenfeld & Guilherme Valle Moura & Jean‐François Richard, 2010. "Determinants and Dynamics of Current Account Reversals: An Empirical Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 486-517, August.
    5. Alessie, Rob & Stefan Hochguertel & Arthur van Soest, 2002. "Ownership of Stocks and Mutual Funds: A Panel Data Analysis," Royal Economic Society Annual Conference 2002 3, Royal Economic Society.
    6. Geert Mesters & Siem Jan Koopman, 2012. "Generalized Dynamic Panel Data Models with Random Effects for Cross-Section and Time," Tinbergen Institute Discussion Papers 12-009/4, Tinbergen Institute, revised 18 Mar 2014.
    7. Ziegler, Andreas & Schröder, Michael, 2010. "What determines the inclusion in a sustainability stock index?: A panel data analysis for european firms," Ecological Economics, Elsevier, vol. 69(4), pages 848-856, February.
    8. Alessie, R.J.M. & Hochgürtel, S. & van Soest, A.H.O., 2000. "Household Portfolios in the Netherlands," Other publications TiSEM 673b1a55-43b3-4a04-8c6b-c, Tilburg University, School of Economics and Management.
    9. Islam, Nizamul, 2007. "A Dynamic Tobit Model of Female Labor Supply," Working Papers in Economics 259, University of Gothenburg, Department of Economics.
    10. Heiss, Florian, 2006. "Nonlinear State-Space Models for Microeconometric Panel Data," Discussion Papers in Economics 1157, University of Munich, Department of Economics.
    11. Ziegler, Andreas & Schröder, Michael, 2006. "What Determines the Inclusion in a Sustainability Stock Index? A Panel Data Analysis for European Companies," ZEW Discussion Papers 06-041, ZEW - Leibniz Centre for European Economic Research.
    12. Paul Contoyannis & Andrew M. Jones & Roberto Leon‐Gonzalez, 2004. "Using simulation‐based inference with panel data in health economics," Health Economics, John Wiley & Sons, Ltd., vol. 13(2), pages 101-122, February.
    13. Michael Lechner & Stefan Lollivier & Thierry Magnac, 2005. "Parametric Binary Choice Models," University of St. Gallen Department of Economics working paper series 2005 2005-23, Department of Economics, University of St. Gallen.
    14. Marianne Bruins & James A. Duffy & Michael P. Keane & Anthony A. Smith, Jr, 2015. "Generalized Indirect Inference for Discrete Choice Models," Economics Papers 2015-W08, Economics Group, Nuffield College, University of Oxford.
    15. Smith, Martin D., 2005. "State dependence and heterogeneity in fishing location choice," Journal of Environmental Economics and Management, Elsevier, vol. 50(2), pages 319-340, September.
    16. Qian, Zhiguang & Shapiro, Alexander, 2006. "Simulation-based approach to estimation of latent variable models," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1243-1259, November.
    17. Andreas Ziegler, 2007. "Simulated classical tests in multinomial probit models," Statistical Papers, Springer, vol. 48(4), pages 655-681, October.
    18. Florian Heiss, 2008. "Sequential numerical integration in nonlinear state space models for microeconometric panel data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 373-389.
    19. Heiss, Florian & Winschel, Viktor, 2008. "Likelihood approximation by numerical integration on sparse grids," Journal of Econometrics, Elsevier, vol. 144(1), pages 62-80, May.
    20. Jean-François Richard, 2015. "Likelihood Evaluation of High-Dimensional Spatial Latent Gaussian Models with Non-Gaussian Response Variables," Working Paper 5778, Department of Economics, University of Pittsburgh.
    21. Moura, Guilherme V. & Richard, Jean-François & Liesenfeld, Roman, 2007. "Dynamic Panel Probit Models for Current Account Reversals and their Efficient Estimation," Economics Working Papers 2007-11, Christian-Albrechts-University of Kiel, Department of Economics.
    22. Daniel A. Ackerberg, 2001. "A New Use of Importance Sampling to Reduce Computational Burden in Simulation Estimation," NBER Technical Working Papers 0273, National Bureau of Economic Research, Inc.
    23. Harris, Katherine M. & Keane, Michael P., 1998. "A model of health plan choice:: Inferring preferences and perceptions from a combination of revealed preference and attitudinal data," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 131-157, November.
    24. Ziegler, Andreas, 2001. "Simulated z-tests in multinomial probit models," ZEW Discussion Papers 01-53, ZEW - Leibniz Centre for European Economic Research.
    25. Islam, Nizamul & Shimeles, Abebe, 2007. "Poverty dynamics in Ethiopia: state dependence," Working Papers in Economics 260, University of Gothenburg, Department of Economics.
    26. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    27. Islam, Nizamul, 2005. "Dynamic labour force participation of married women in Sweden," Working Papers in Economics 184, University of Gothenburg, Department of Economics, revised 10 Jul 2007.
    28. Okamura, Kazuaki & Islam, Nizamul, 2021. "Multinomial employment dynamics with state dependence and heterogeneity: Evidence from Japan," Economic Modelling, Elsevier, vol. 101(C).
    29. Hansen, Jörgen & Lofstrom, Magnus & Zhang, Xuelin, 2006. "State Dependence in Canadian Welfare Participation," IZA Discussion Papers 2266, Institute of Labor Economics (IZA).
    30. Michel Wedel & Wagner Kamakura, 2001. "Factor analysis with (mixed) observed and latent variables in the exponential family," Psychometrika, Springer;The Psychometric Society, vol. 66(4), pages 515-530, December.
    31. Ziegler Andreas, 2010. "Z-Tests in Multinomial Probit Models under Simulated Maximum Likelihood Estimation: Some Small Sample Properties," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(5), pages 630-652, October.
    32. Hansen, Jörgen & Davalloo, Golnaz, 2023. "Persistent Marijuana Use: Evidence from the NLSY," IZA Discussion Papers 16446, Institute of Labor Economics (IZA).
    33. Staus, Alexander, 2011. "Which household attitudes determine the store type choice for meat?," Journal of Retailing and Consumer Services, Elsevier, vol. 18(3), pages 224-234.
    34. Lee, Lung-Fei, 1997. "A smooth likelihood simulator for dynamic disequilibrium models," Journal of Econometrics, Elsevier, vol. 78(2), pages 257-294, June.

  6. Lee, L.F., 1993. "Rational Expectations in Limited Dependent Variable Models," Papers 93-20, Michigan - Center for Research on Economic & Social Theory.

    Cited by:

    1. RUGE-MURCIA, Francisco J., 1998. "Uncovering Financial Markets Beliefs About Inflation Targets," Cahiers de recherche 9803, Universite de Montreal, Departement de sciences economiques.
    2. Pesaran, M.H. & Samiei, H., 1993. "Limited-Dependaent Rational Expectations Models with Future Expectations," Cambridge Working Papers in Economics 9321, Faculty of Economics, University of Cambridge.
    3. M. Isabel Campos & Zenón Jiménez-Ridruejo, 2000. "Were The Peseta Exchange Rate Crises Forecastable During Target Zone Period?," Working Papers 00-07, Asociación Española de Economía y Finanzas Internacionales.
    4. Hashem Pesaran, M. & Ruge-Murcia, Francisco J., 1996. "Limited-dependent rational expectations models with stochastic thresholds," Economics Letters, Elsevier, vol. 51(3), pages 267-276, June.
    5. Calzolari, Giorgio & Fiorentini, Gabriele, 1993. "Estimating variances and covariances in a censored regression model," MPRA Paper 22598, University Library of Munich, Germany, revised 1993.
    6. M. Hashem Pesaran & Francisco J. Ruge-Murcia, 1996. "Limited-dependent rational expectations models with jumps," Discussion Paper / Institute for Empirical Macroeconomics 111, Federal Reserve Bank of Minneapolis.
    7. M. Isabel Campos & Zenón Jiménez-Ridruejo, "undated". "Were the Peseta Exchange Rate Crises Forecastable During Target Zone Period?," Working Papers on International Economics and Finance 00-07, FEDEA.
    8. SENBATA, Sisay Regassa, 2011. "How applicable are the new Keynesian DSGE models to a typical low-income economy?," Working Papers 2011016, University of Antwerp, Faculty of Business and Economics.
    9. M. Isabel Campos & Zenon Jimenez-Ridruejo, 2003. "Were the peseta exchange rate crises forecastable during target zone period?," Applied Economics, Taylor & Francis Journals, vol. 35(9), pages 1087-1099.
    10. Campos, M. Isabel & Herrera, Julio & Jimenez-Ridruejo, Zenon, 1999. "Censured Exchange Rates in a Discrete Time Target Zones Model: The Spanish Peseta/Deutsche Mark Case," ERSA conference papers ersa99pa183, European Regional Science Association.

  7. Lee, L.F., 1992. "Asymptotic Bias in Maximum Simulated Likelihood Estimation of Discrete Choice Models," Papers 93-03, Michigan - Center for Research on Economic & Social Theory.

    Cited by:

    1. Geweke, John & Keane, Michael P & Runkle, David, 1994. "Alternative Computational Approaches to Inference in the Multinomial Probit Model," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 609-632, November.
    2. Daniel A. Ackerberg, 2001. "A New Use of Importance Sampling to Reduce Computational Burden in Simulation Estimation," NBER Technical Working Papers 0273, National Bureau of Economic Research, Inc.

  8. Lee, L.F., 1992. "Asymptotic Distribution of the Maximum Likelihood Estimator for Stochastic Frontier Function Model with a Singular Information Matrix," Papers 92-01, Michigan - Center for Research on Economic & Social Theory.

    Cited by:

    1. Manner, Hans & Hafner, Christian & Simar, Leopold, 2015. "The wrong skewness problem in stochastic frontier models: A new approach," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112812, Verein für Socialpolitik / German Economic Association.
    2. Liu, Ming & Zhang, Harold H., 1998. "Overparameterization in the seminonparametric density estimation," Economics Letters, Elsevier, vol. 60(1), pages 11-18, July.
    3. Daniel, Betty C. & Hafner, Christian M. & Simar, Léopold & Manner, Hans, 2019. "Asymmetries In Business Cycles And The Role Of Oil Prices," Macroeconomic Dynamics, Cambridge University Press, vol. 23(4), pages 1622-1648, June.
    4. Alecos Papadopoulos & Christopher F. Parmeter, 2024. "The wrong skewness problem in stochastic frontier analysis: a review," Journal of Productivity Analysis, Springer, vol. 61(2), pages 121-134, April.
    5. Fei Jin & Lung-fei Lee, 2020. "Asymptotic properties of a spatial autoregressive stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-40, December.
    6. Samuele Centorrino & Mar'ia P'erez-Urdiales, 2020. "Maximum Likelihood Estimation of Stochastic Frontier Models with Endogeneity," Papers 2004.12369, arXiv.org, revised Mar 2021.
    7. Prosper Dovonon & Alastair Hall & Frank Kleibergen, 2018. "Inference in Second-Order Identified Models," CIRANO Working Papers 2018s-36, CIRANO.
    8. George Karabatsos, 2023. "Approximate Bayesian computation using asymptotically normal point estimates," Computational Statistics, Springer, vol. 38(2), pages 531-568, June.
    9. Centorrino, Samuele & Pérez-Urdiales, María & Bravo-Ureta, Boris & Wall, Alan, 2022. "Binary endogenous treatment in stochastic frontier models with an application to soil conservation in El Salvador," Efficiency Series Papers 2022/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    10. Fei Jin & Lung-fei Lee, 2018. "Lasso Maximum Likelihood Estimation of Parametric Models with Singular Information Matrices," Econometrics, MDPI, vol. 6(1), pages 1-24, February.
    11. Hafner, Christian & Manner, Hans & Simar, Leopold, 2013. "The “wrong skewnessâ€Ω problem in stochastic frontier models: A new approach," LIDAM Discussion Papers ISBA 2013046, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    12. C. Lovell & Shawna Grosskopf & Eduardo Ley & Jesús Pastor & Diego Prior & Philippe Eeckaut, 1994. "Linear programming approaches to the measurement and analysis of productive efficiency," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 2(2), pages 175-248, December.
    13. Philip M. Bodman, 1999. "Labour Market Inefficiency and Frictional Unemployment in Australia and its States: A Stochastic Frontier Approach," The Economic Record, The Economic Society of Australia, vol. 75(2), pages 138-148, June.
    14. Dovonon, Prosper & Hall, Alastair R. & Kleibergen, Frank, 2020. "Inference in second-order identified models," Journal of Econometrics, Elsevier, vol. 218(2), pages 346-372.
    15. Althaler, Karl S. & Slavova, Tatjana, 2000. "DEA Problems under Geometrical or Probability Uncertainties of Sample Data," Economics Series 89, Institute for Advanced Studies.
    16. Alexander D. Stead & Phill Wheat & William H. Greene, 2023. "On hypothesis testing in latent class and finite mixture stochastic frontier models, with application to a contaminated normal-half normal model," Journal of Productivity Analysis, Springer, vol. 60(1), pages 37-48, August.
    17. Daniel , Betty C & Hafner, Christian & Manner, Hans & Simar, Leopold, 2011. "Asymmetries in Business Cycles and the Role of Oil Production," LIDAM Discussion Papers ISBA 2011032, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    18. Kumbhakar, Subal C. & Parmeter, Christopher F. & Tsionas, Efthymios G., 2013. "A zero inefficiency stochastic frontier model," Journal of Econometrics, Elsevier, vol. 172(1), pages 66-76.
    19. Jin, Fei & Lee, Lung-fei, 2018. "Irregular N2SLS and LASSO estimation of the matrix exponential spatial specification model," Journal of Econometrics, Elsevier, vol. 206(2), pages 336-358.

  9. Lee, L-F., 1991. "Amemiya's Generalized Least Squares and Tests of Overidentification in Simultaneous Equation Models with Qualitative or Limited Dependent Variables," Papers 262, Minnesota - Center for Economic Research.

    Cited by:

    1. Yi, Dale & Reardon, Thomas & Stringer, Randy, 2015. "Aquaculture technology and community based mangrove rehabilitation in Indonesia," 2015 Conference, August 9-14, 2015, Milan, Italy 211880, International Association of Agricultural Economists.
    2. Oliveira, Alessandro V.M., 2008. "An empirical model of low-cost carrier entry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(4), pages 673-695, May.
    3. Kraay, Aart, 2003. "Do high interest rates defend currencies during speculative attacks?," Journal of International Economics, Elsevier, vol. 59(2), pages 297-321, March.
    4. Jeffrey DeSimone, 1999. "Illegal Drug Use and Labor Supply," Working Papers 9906, East Carolina University, Department of Economics.

  10. Lee, L-F., 1991. "Semiparametric Instrumental Variable Estimation of Simultaneous Equation Sample Selection Models," Papers 263, Minnesota - Center for Economic Research.

    Cited by:

    1. Chen, Songnian, 2000. "Efficient estimation of binary choice models under symmetry," Journal of Econometrics, Elsevier, vol. 96(1), pages 183-199, May.
    2. Lee, Lung-fei & Rosenzweig, Mark R. & Pitt, Mark M., 1997. "The effects of improved nutrition, sanitation, and water quality on child health in high-mortality populations," Journal of Econometrics, Elsevier, vol. 77(1), pages 209-235, March.
    3. Chen, Songnian, 1999. "Distribution-free estimation of the random coefficient dummy endogenous variable model," Journal of Econometrics, Elsevier, vol. 91(1), pages 171-199, July.
    4. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    5. Arthur Lewbel, 2000. "Endogenous Selection Or Treatment Model Estimation," Boston College Working Papers in Economics 462, Boston College Department of Economics, revised 13 Jun 2007.
    6. Wojtyś, Małgorzata & Marra, Giampiero & Radice, Rosalba, 2018. "Copula based generalized additive models for location, scale and shape with non-random sample selection," Computational Statistics & Data Analysis, Elsevier, vol. 127(C), pages 1-14.
    7. Zhou, Yahong, 2008. "Semiparametric estimation of a nonstationary panel data transformation model under symmetry," Economics Letters, Elsevier, vol. 99(1), pages 107-110, April.
    8. Chen, Songnian, 2000. "Rank estimation of a location parameter in the binary choice model," Journal of Econometrics, Elsevier, vol. 98(2), pages 317-334, October.
    9. Committee, Nobel Prize, 2000. "The Scientific Contributions of James Heckman and Daniel McFadden," Nobel Prize in Economics documents 2000-2, Nobel Prize Committee.
    10. Karol Wyszynski & Giampiero Marra, 2018. "Sample selection models for count data in R," Computational Statistics, Springer, vol. 33(3), pages 1385-1412, September.
    11. Bravo, Francesco & Chu, Ba & Jacho-Chavez, David, 2013. "Semiparametric estimation of moment condition models with weakly dependent data," MPRA Paper 79686, University Library of Munich, Germany, revised 2016.
    12. Armando Levy, 2000. "A Simple Consistent Non-parametric Estimator of the Regression Function in a Truncated Sample," Econometric Society World Congress 2000 Contributed Papers 0651, Econometric Society.
    13. Songnian Chen & Yahong Zhou, 2005. "A Simple Matching Method for Estimating Sample Selection Models Using Experimental Data," Annals of Economics and Finance, Society for AEF, vol. 6(1), pages 155-167, May.
    14. Kamhon Kan & Chihwa Kao, 2005. "Simulation-Based Two-Step Estimation with Endogenous Regressors," Center for Policy Research Working Papers 76, Center for Policy Research, Maxwell School, Syracuse University.

  11. Lee, L-F., 1990. "On Efficiency of Methods of Simulated Moments and Maximum Simulated Likelihood Estimation of Discrete Response Models," Papers 260, Minnesota - Center for Economic Research.

    Cited by:

    1. Wuyang Hu, 2005. "Logit models: smallest versus largest extreme value error distributions," Applied Economics Letters, Taylor & Francis Journals, vol. 12(12), pages 741-744.
    2. Breunig, Robert & Cobb-Clark, Deborah A. & Gong, Xiaodong, 2005. "Improving the Modeling of Couples' Labour Supply," IZA Discussion Papers 1773, Institute of Labor Economics (IZA).
    3. Small, Kenneth A & Winston, Clifford & Yan, Jia, 2002. "Uncovering the Distribution of Motorists' Preferences for Travel Time and Reliability: Implications for Road Pricing," University of California Transportation Center, Working Papers qt8zd2r34k, University of California Transportation Center.
    4. Sarrias, Mauricio, 2016. "Discrete Choice Models with Random Parameters in R: The Rchoice Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i10).
    5. Haaijer, Marinus E., 1996. "Predictions in conjoint choice experiments : the x-factor probit model," Research Report 96B22, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    6. Karthik K. Srinivasan & Hani S. Mahmassani, 2005. "A Dynamic Kernel Logit Model for the Analysis of Longitudinal Discrete Choice Data: Properties and Computational Assessment," Transportation Science, INFORMS, vol. 39(2), pages 160-181, May.
    7. Brownston, David & Bunch, David S. & Train, Kenneth, 1999. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Department of Economics, Working Paper Series qt7rf7s3nx, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    8. Bartels, R. & Fiebig, D.G. & van Soest, A.H.O., 2003. "Consumers and Experts : An Econometric Analysis of the Demand for Water Heaters," Other publications TiSEM 700496ed-75bb-495d-a00c-b, Tilburg University, School of Economics and Management.
    9. Batram, Manuel & Bauer, Dietmar, 2019. "On consistency of the MACML approach to discrete choice modelling," Journal of choice modelling, Elsevier, vol. 30(C), pages 1-16.
    10. Bolduc, Denis & Lacroix, Guy & Muller, Christophe, 1996. "The choice of medical providers in rural Benin: A comparison of discrete choice models," Journal of Health Economics, Elsevier, vol. 15(4), pages 477-498, August.
    11. Keane, Michael P. & Sauer, Robert M., 2006. "Classification Error in Dynamic Discrete Choice Models: Implications for Female Labor Supply Behavior," IZA Discussion Papers 2332, Institute of Labor Economics (IZA).
    12. Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," University of California Transportation Center, Working Papers qt1j6814b3, University of California Transportation Center.
    13. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    14. Rinus Haaijer & Michel Wedel & Marco Vriens & Tom Wansbeek, 1998. "Utility Covariances and Context Effects in Conjoint MNP Models," Marketing Science, INFORMS, vol. 17(3), pages 236-252.
    15. Anindya Biswas & Biswajit Mandal, 2016. "Estimating Preference Parameters From Stock Returns Using Simulated Method Of Moments," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 1-13, March.
    16. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
    17. Gong, Xiaodong & van Soest, Arthur & Villagomez, Elizabeth, 2000. "Mobility in the Urban Labor Market: A Panel Data Analysis for Mexico," IZA Discussion Papers 213, Institute of Labor Economics (IZA).
    18. Chihwa Kao & Lung-fei Lee & Mark M. Pitt, 2000. "Simulated Maximum Likelihood Estimation of the Linear Expenditure System with Binding Non-Negativity Constraints," CEMA Working Papers 50, China Economics and Management Academy, Central University of Finance and Economics, revised Apr 2001.
    19. Xiaodong Gong & Arthur van Soest, 2002. "Family Structure and Female Labor Supply in Mexico City," Journal of Human Resources, University of Wisconsin Press, vol. 37(1), pages 163-191.
    20. Robert M. Sauer & Michael P. Keane, 2004. "A Computationally Practical Simulation Estimation Algorithm for Dynamic Panel Data Models with Unobserved Endogenous State Variables," Econometric Society 2004 North American Summer Meetings 136, Econometric Society.
    21. Kristensen, Dennis & Shin, Yongseok, 2012. "Estimation of dynamic models with nonparametric simulated maximum likelihood," Journal of Econometrics, Elsevier, vol. 167(1), pages 76-94.
    22. Geweke, John F. & Keane, Michael P. & Runkle, David E., 1997. "Statistical inference in the multinomial multiperiod probit model," Journal of Econometrics, Elsevier, vol. 80(1), pages 125-165, September.
    23. Kenneth Train, 2001. "Halton Sequences for Mixed Logit," Econometrics 0012002, University Library of Munich, Germany.
    24. Vassilis A. Hajivassiliou, 1991. "Simulation Estimation Methods for Limited Dependent Variable Models," Cowles Foundation Discussion Papers 1007, Cowles Foundation for Research in Economics, Yale University.
    25. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Determining the role of bicycle sharing system infrastructure installation decision on usage: Case study of montreal BIXI system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 685-698.
    26. BOLDUC, Denis & FORTIN, Bernard & GORDON, Stephen, 1995. "Multinomial Probit Estimation of Spatially Interdependent Choices: an Empirical Comparison of Two New Techniques," Cahiers de recherche 9508, Université Laval - Département d'économique.
    27. Alexander Mayer & Dominik Wied, 2021. "Estimation and Inference in Factor Copula Models with Exogenous Covariates," Papers 2107.03366, arXiv.org, revised Dec 2022.
    28. Denis Bolduc & Bernard Fortin & France Labrecque & Paul Lanoie, 1997. "Incentive Effects of Public Insurance Programs on the Occurence and the Composition of Workplace Injuries," CIRANO Working Papers 97s-24, CIRANO.
    29. M. Christopher Auld, 1998. "Wages, Alcohol Use, and Smoking: Simultaneous Estimates," HEW 9808001, University Library of Munich, Germany.
    30. Gong, Xiaodong, 2004. "Transition Patterns for the Welfare Reliance of Low Income Mothers in Australia," IZA Discussion Papers 1047, Institute of Labor Economics (IZA).
    31. Dennis Kristensen & Bernard Salanie, 2013. "Higher-order properties of approximate estimators," CeMMAP working papers CWP45/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    32. Partha Deb & Cagla Okten & Una Osili, 2010. "Giving to family versus giving to the community within and across generations," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(3), pages 963-987, June.
    33. Malik, Sheheryar & Pitt, Michael K., 2011. "Particle filters for continuous likelihood evaluation and maximisation," Journal of Econometrics, Elsevier, vol. 165(2), pages 190-209.
    34. M. P. Keane & R. M. Sauer, 2008. "Implications of Classification Error for the Dynamics of Female Labor Supply," CHILD Working Papers wp13_08, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
    35. Lee, Lung-Fei, 1997. "A simulated likelihood estimator for qualitative response models with sufficient statistics," Economics Letters, Elsevier, vol. 57(1), pages 23-32, November.
    36. Bhat, Chandra, 1999. "An analysis of evening commute stop-making behavior using repeated choice observations from a multi-day survey," Transportation Research Part B: Methodological, Elsevier, vol. 33(7), pages 495-510, September.
    37. Malik, Sheheryar & Pitt, Michael K., 2009. "Modelling Stochastic Volatility with Leverage and Jumps: A Simulated Maximum Likelihood Approach via Particle Filtering," Economic Research Papers 271302, University of Warwick - Department of Economics.
    38. Jason R. Blevins, 2015. "Structural Estimation Of Sequential Games Of Complete Information," Economic Inquiry, Western Economic Association International, vol. 53(2), pages 791-811, April.
    39. Sarrias, Mauricio & Daziano, Ricardo, 2017. "Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i02).
    40. David Revelt and Kenneth Train., 2000. "Customer-Specific Taste Parameters and Mixed Logit: Households' Choice of Electricity Supplier," Economics Working Papers E00-274, University of California at Berkeley.
    41. Bhat, Chandra R. & Guo, Jessica, 2004. "A mixed spatially correlated logit model: formulation and application to residential choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 147-168, February.
    42. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
    43. Michael Lechner & Stefan Lollivier & Thierry Magnac, 2005. "Parametric Binary Choice Models," University of St. Gallen Department of Economics working paper series 2005 2005-23, Department of Economics, University of St. Gallen.
    44. Mario Martinoli & Raffaello Seri & Fulvio Corsi, 2024. "Generalized Optimization Algorithms for Complex Objective Functions," LEM Papers Series 2024/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    45. Ufer, Danielle J. & Ortega, David L. & Wolf, Christopher A. & McKendree, Melissa & Swanson, Janice, 2022. "Getting past the gatekeeper: Key motivations of dairy farmer intent to adopt animal health and welfare-improving biotechnology," Food Policy, Elsevier, vol. 112(C).
    46. Ipek Sener & Naveen Eluru & Chandra Bhat, 2009. "An analysis of bicycle route choice preferences in Texas, US," Transportation, Springer, vol. 36(5), pages 511-539, September.
    47. Grebitus, Carola & Jensen, Helen H. & Roosen, Jutta, 2013. "US and German consumer preferences for ground beef packaged under a modified atmosphere – Different regulations, different behaviour?," ISU General Staff Papers 201306010700001225, Iowa State University, Department of Economics.
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    56. Hu, Wuyang & Adamowicz, Wiktor L. & Veeman, Michele M., 2004. "Decomposing Unobserved Choice Variability In The Presence Of Consumers' Taste Heterogeneity," 2004 Annual meeting, August 1-4, Denver, CO 19954, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    57. Giovanni Ponti & Claudio Rossetti, 2018. "Unobserved Heterogeneity in Structural Behavioral Models Using Experimental Data," CSEF Working Papers 512, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    58. Bhat, Chandra & Zhao, Huimin, 2002. "The spatial analysis of activity stop generation," Transportation Research Part B: Methodological, Elsevier, vol. 36(6), pages 557-575, July.
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    61. Bhat, Chandra R. & Srinivasan, Sivaramakrishnan, 2005. "A multidimensional mixed ordered-response model for analyzing weekend activity participation," Transportation Research Part B: Methodological, Elsevier, vol. 39(3), pages 255-278, March.
    62. Chen, Zhuo & Huffman, Wallace E. & Rozelle, Scott, 2004. "Migration And Local Off-Farm Working In Rural China," 2004 Annual meeting, August 1-4, Denver, CO 20075, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    63. Edward Morey & Kathleen Greer Rossmann, 2003. "Using Stated-Preference Questions to Investigate Variations in Willingness to Pay for Preserving Marble Monuments: Classic Heterogeneity, Random Parameters, and Mixture Models," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 27(3), pages 215-229, November.
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    69. José-Benito Pérez-López & Margarita Novales & Francisco-Alberto Varela-García & Alfonso Orro, 2020. "Residential Location Econometric Choice Modeling with Irregular Zoning: Common Border Spatial Correlation Metric," Networks and Spatial Economics, Springer, vol. 20(3), pages 785-802, September.
    70. Portier, Francois & Segers, Johan, 2018. "Monte Carlo integration with a growing number of control variates," LIDAM Discussion Papers ISBA 2018001, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    71. Bhat, Chandra R. & Srinivasan, Sivaramakrishnan & Axhausen, Kay W., 2005. "An analysis of multiple interepisode durations using a unifying multivariate hazard model," Transportation Research Part B: Methodological, Elsevier, vol. 39(9), pages 797-823, November.
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    Cited by:

    1. David R. Bell & Jeongwen Chiang & V. Padmanabhan, 1999. "The Decomposition of Promotional Response: An Empirical Generalization," Marketing Science, INFORMS, vol. 18(4), pages 504-526.
    2. Pradeep K. Chintagunta & Harikesh S. Nair, 2011. "Structural Workshop Paper --Discrete-Choice Models of Consumer Demand in Marketing," Marketing Science, INFORMS, vol. 30(6), pages 977-996, November.
    3. Nicholas Economides & V. Brian Viard & Katja Seim, 2005. "Quantifying the Benefits of Entry into Local Phone Service," Working Papers 05-08, NET Institute, revised Nov 2005.
    4. Ganesh Iyer & P.B. Seetharaman, 2003. "To Price Discriminate or Not: Product Choice and the Selection Bias Problem," Quantitative Marketing and Economics (QME), Springer, vol. 1(2), pages 155-178, June.
    5. Angulo, Ana Maria & Gil, Jose Maria & Gracia, Azucena, 2001. "The demand for alcoholic beverages in Spain," Agricultural Economics, Blackwell, vol. 26(1), pages 71-83, October.
    6. Alain Bousquet & Raja Chakir & Norbert Ladoux, 2002. "Modeling Corner Solutions with Panel Data: Application to Industrial Energy Demand in France," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C3-2, International Conferences on Panel Data.
    7. von Haefen, Roger H., 2003. "Incorporating observed choice into the construction of welfare measures from random utility models," Journal of Environmental Economics and Management, Elsevier, vol. 45(2), pages 145-165, March.
    8. Jean-Pierre H. Dubé, 2018. "Microeconometric Models of Consumer Demand," NBER Working Papers 25215, National Bureau of Economic Research, Inc.
    9. Gould, Brian W., 1995. "Factors Affecting U.S. Demand For Reduced-Fat Milk," Staff Papers 12646, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    10. Felipe Vásquez & Michael Hanemann, 2009. "Functional Forms in Discrete/Continuous Choice Models with General Corner Solution," Working Papers 08-2009, Departamento de Economía, Universidad de Concepción.
    11. Hanemann, Michael & Labandeira, Xavier & Labeaga, José M. & Vásquez-Lavín, Felipe, 2024. "Discrete-continuous models of residential energy demand: A comprehensive review," Resource and Energy Economics, Elsevier, vol. 77(C).
    12. Brian Gould, 1995. "Factors Affecting U.S. Demand for Reduced-fat Fluid Milk," Wisconsin-Madison Agricultural and Applied Economics Staff Papers 386, Wisconsin-Madison Agricultural and Applied Economics Department.
    13. Brian W. GOULD, 1996. "Abstract Of Factors Affecting U.S. Demand For Reduced-Fat Milk," Staff Papers 386, University of Wisconsin Madison, AAE.
    14. Gould, Brian W., 1996. "Factors Affecting U.S. Demand For Reduced-Fat Fluid Milk," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(01), pages 1-14, July.
    15. Gould, Brian W. & Lee, Yoonjung & Dong, Diansheng & Villarreal, Hector J., 2002. "Household Size And Composition Impacts On Meat Demand In Mexico: A Censored Demand System Approach," 2002 Annual meeting, July 28-31, Long Beach, CA 19722, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. X. M. Gao & Timothy Richards & Albert Kagan, 1997. "A latent variable model of consumer taste determination and taste change for complex carbohydrates," Applied Economics, Taylor & Francis Journals, vol. 29(12), pages 1643-1654.
    17. Phaneuf, Daniel James, 1997. "Generalized corner solution models in recreation demand," ISU General Staff Papers 1997010108000013022, Iowa State University, Department of Economics.
    18. Phaneuf, Daniel J. & Smith, V. Kerry, 2006. "Recreation Demand Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 15, pages 671-761, Elsevier.

  13. Lee, L-F., 1990. "Semiparametric Nonlinear Least Square Estimation of Truncated Regression Models," Papers 254, Minnesota - Center for Economic Research.

    Cited by:

    1. Chen, Songnian & Zhou, Xianbo, 2011. "Semiparametric estimation of a bivariate Tobit model," Journal of Econometrics, Elsevier, vol. 165(2), pages 266-274.
    2. Honore, Bo E. & Kyriazidou, Ekaterini & Udry, Christopher, 1997. "Estimation of Type 3 Tobit models using symmetric trimming and pairwise comparisons," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 107-128.
    3. Lee, Lung-fei, 1995. "Semiparametric maximum likelihood estimation of polychotomous and sequential choice models," Journal of Econometrics, Elsevier, vol. 65(2), pages 381-428, February.
    4. Chen, Songnian, 1997. "Semiparametric estimation of the Type-3 Tobit model," Journal of Econometrics, Elsevier, vol. 80(1), pages 1-34, September.
    5. Chen, Songnian & Zhou, Xianbo, 2012. "Semiparametric estimation of a truncated regression model," Journal of Econometrics, Elsevier, vol. 167(2), pages 297-304.
    6. Y Nishiyama & Peter M Robinson, 1999. "Studentization in Edgworth Expansions for Estimates of Semiparametric Index Models - (Now published in C Hsiao, K Morimune and J Powell (eds): Nonlinear Statistical Modeling (Festschrift for Takeshi A," STICERD - Econometrics Paper Series 374, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    7. Nishiyama, Y & Robinson, Peter, 1999. "Studentization in Edgworth expansions for estimates of semiparametric index models," LSE Research Online Documents on Economics 2095, London School of Economics and Political Science, LSE Library.
    8. Takahiro ITO, 2024. "Binary and Ordered Response Models in Randomized Experiments: Applications of the Resampling-Based Maximum Likelihood Method," GSICS Working Paper Series 42, Graduate School of International Cooperation Studies, Kobe University.

  14. Lee, L-F., 1990. "Efficient Semiparametric Scoring Estimation of Sample Selection Models," Papers 255, Minnesota - Center for Economic Research.

    Cited by:

    1. Chen, Songnian, 2000. "Efficient estimation of binary choice models under symmetry," Journal of Econometrics, Elsevier, vol. 96(1), pages 183-199, May.
    2. Ralph Bradley & Steven Holden & Robert McClelland, 2000. "A Robust Estimation of the Effects of Taxation on Charitable Contributions," Econometric Society World Congress 2000 Contributed Papers 1144, Econometric Society.
    3. Lee, Lung-fei & Rosenzweig, Mark R. & Pitt, Mark M., 1997. "The effects of improved nutrition, sanitation, and water quality on child health in high-mortality populations," Journal of Econometrics, Elsevier, vol. 77(1), pages 209-235, March.
    4. Zhewen Pan & Yifan Zhang, 2024. "Locally robust semiparametric estimation of sample selection models without exclusion restrictions," Papers 2412.01208, arXiv.org.
    5. Liu, Ruixuan & Yu, Zhengfei, 2022. "Sample selection models with monotone control functions," Journal of Econometrics, Elsevier, vol. 226(2), pages 321-342.
    6. Arthur Lewbel, 2000. "Endogenous Selection Or Treatment Model Estimation," Boston College Working Papers in Economics 462, Boston College Department of Economics, revised 13 Jun 2007.
    7. Fisher, Monica G. & Shively, Gerald E. & Buccola, Steven T., 2002. "An Empirical Investigation Of Activity Choice, Labor Allocation, And Forest Use In Southern Malawi," Staff Papers 28616, Purdue University, Department of Agricultural Economics.
    8. Hisatoshi Tanaka, 2020. "Differentiability of the Conditional Expectation," Working Papers 1920, Waseda University, Faculty of Political Science and Economics.
    9. Fernández-Sainz, Ana I. & Rodríguez-Póo, Juan M., 2010. "An Empirical Investigation of Parametric and Semiparametric Estimation Methods in Sample Selection Models = Investigación empírica de métodos de estimación paramétricos y semiparamétricos de modelos d," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 10(1), pages 99-120, December.
    10. Song Nian Chen, 2000. "Semiparametric Estimation of Heteroscedastic Binary Sample Selection Model," Econometric Society World Congress 2000 Contributed Papers 0263, Econometric Society.
    11. Zhewen Pan, 2023. "On semiparametric estimation of the intercept of the sample selection model: a kernel approach," Papers 2302.05089, arXiv.org.
    12. Chen, Songnian & Zhou, Yahong, 2010. "Semiparametric and nonparametric estimation of sample selection models under symmetry," Journal of Econometrics, Elsevier, vol. 157(1), pages 143-150, July.

  15. Lee, L-F., 1990. "Semiparametric Two Stage Estimation of Sample Selection Models Subject to Tobit-Type Selection Rules," Papers 256, Minnesota - Center for Economic Research.

    Cited by:

    1. Honore, Bo E. & Kyriazidou, Ekaterini & Udry, Christopher, 1997. "Estimation of Type 3 Tobit models using symmetric trimming and pairwise comparisons," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 107-128.
    2. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    3. Lee, Myoung-jae & Vella, Francis, 2006. "A semi-parametric estimator for censored selection models with endogeneity," Journal of Econometrics, Elsevier, vol. 130(2), pages 235-252, February.
    4. Levy, Armando, 2002. "Tobit without apology," Economics Letters, Elsevier, vol. 77(3), pages 399-404, November.
    5. Arthur Lewbel, 2000. "Endogenous Selection Or Treatment Model Estimation," Boston College Working Papers in Economics 462, Boston College Department of Economics, revised 13 Jun 2007.
    6. Committee, Nobel Prize, 2000. "The Scientific Contributions of James Heckman and Daniel McFadden," Nobel Prize in Economics documents 2000-2, Nobel Prize Committee.
    7. Chen, Songnian, 1997. "Semiparametric estimation of the Type-3 Tobit model," Journal of Econometrics, Elsevier, vol. 80(1), pages 1-34, September.
    8. Marra, Giampiero & Radice, Rosalba, 2013. "Estimation of a regression spline sample selection model," Computational Statistics & Data Analysis, Elsevier, vol. 61(C), pages 158-173.
    9. Insik Min & Sheng jang Sheu & Zijun Wang, 2003. "A Monte Carlo Comparison of Various Semiparametric Type-3 Tobit Estimators," Annals of Economics and Finance, Society for AEF, vol. 4(1), pages 125-136, May.
    10. Chen, Songnian & Zhou, Yahong, 2007. "Estimating a generalized correlation coefficient for a generalized bivariate probit model," Journal of Econometrics, Elsevier, vol. 141(2), pages 1100-1114, December.
    11. Armando Levy, 2000. "A Simple Consistent Non-parametric Estimator of the Regression Function in a Truncated Sample," Econometric Society World Congress 2000 Contributed Papers 0651, Econometric Society.
    12. Wojtyś, Magorzata & Marra, Giampiero & Radice, Rosalba, 2016. "Copula Regression Spline Sample Selection Models: The R Package SemiParSampleSel," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 71(i06).
    13. van Hasselt, Martijn, 2011. "Bayesian inference in a sample selection model," Journal of Econometrics, Elsevier, vol. 165(2), pages 221-232.
    14. Zhou, Xianbo & Pan, Zhewen, 2015. "Two-step semiparametric estimation of the Type-3 Tobit model," Statistics & Probability Letters, Elsevier, vol. 105(C), pages 96-105.
    15. Mealli, Fabrizia & Pacini, Barbara, 2008. "Comparing principal stratification and selection models in parametric causal inference with nonignorable missingness," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 507-516, December.
    16. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    17. Dogan, Osman & Taspinar, Suleyman, 2016. "Bayesian Inference in Spatial Sample Selection Models," MPRA Paper 82829, University Library of Munich, Germany.
    18. Czarnitzki, Dirk & Lopes Bento, Cindy & Doherr, Thorsten, 2011. "Counterfactual impact evaluation of cohesion policy. Work package 2: Examples from support to innovation and research. Final report," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 110541, March.

  16. Lee, Lung-Fei & Pitt, Mark M., 1987. "Microeconometric Models of Rationing, Imperfect Markets, and Non-Negativity Constraints," Bulletins 7470, University of Minnesota, Economic Development Center.

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    1. Meyerhoefer, Chad D. & Ranney, Christine K. & Sahn, David E., 2004. "Consistent Estimation Of Longitudinal Censored Demand Systems," 2004 Annual meeting, August 1-4, Denver, CO 19992, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Obafèmi P Koutchadé & Alain Carpentier & Fabienne Femenia, 2020. "Modeling Corners, Kinks, and Jumps in Crop Acreage Choices: Impacts of the EU Support to Protein Crops," Post-Print hal-04665916, HAL.
    3. Alan D. Woodland, 1993. "A Micro-Econometric Analysis of the Industrial Demand for Energy in NSW," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 57-90.
    4. Guo, Charles C. & Tybout, James R., 1994. "How relative prices affect fuel use patterns in manufacturing : plant - level evidence from Chile," Policy Research Working Paper Series 1297, The World Bank.
    5. Bousquet, Alain & Ladoux, Norbert, 2004. "Flexible versus Designated Technologies and Inter-Fuel Substitution," IDEI Working Papers 282, Institut d'Économie Industrielle (IDEI), Toulouse.
    6. Alain Bousquet & Marc Ivaldi & Norbert Ladoux, 1989. "La demande d'énergie des industries laitières : une analyse microéconomique," Économie et Prévision, Programme National Persée, vol. 91(5), pages 75-90.
    7. Lundmark, Robert & Söderholm, Patrik & Lundmark, Robert, 2003. "Structural changes in Swedish wastepaper demand: a variable cost function approach," Journal of Forest Economics, Elsevier, vol. 9(1), pages 41-63.
    8. Herve Guyomard & Louis Pascal Mahe, 1993. "Producer behaviour under rationing," Post-Print hal-01595196, HAL.
    9. Veyssiere, Luc Pierre, 2009. "A three essays dissertation on agricultural and environmental microeconomics," ISU General Staff Papers 200901010800001958, Iowa State University, Department of Economics.
    10. Phaneuf, Daniel J., 1999. "A Dual Approach to Modeling Corner Solutions in Recreation Demand," Journal of Environmental Economics and Management, Elsevier, vol. 37(1), pages 85-105, January.
    11. Millimet, Daniel L. & Tchernis, Rusty, 2008. "Estimating high-dimensional demand systems in the presence of many binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 147(2), pages 384-395, December.
    12. Chihwa Kao & Lung-fei Lee & Mark M. Pitt, 2000. "Simulated Maximum Likelihood Estimation of the Linear Expenditure System with Binding Non-Negativity Constraints," CEMA Working Papers 50, China Economics and Management Academy, Central University of Finance and Economics, revised Apr 2001.
    13. Nitin Mehta, 2015. "A Flexible Yet Globally Regular Multigood Demand System," Marketing Science, INFORMS, vol. 34(6), pages 843-863, November.
    14. Arndt, Channing, 1999. "Demand For Herbicide In Corn: An Entropy Approach Using Micro-Level Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(01), pages 1-18, July.
    15. Tselepidakis, Elina, 2015. "Food Safety and the Demand for Leafy Greens," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205583, Agricultural and Applied Economics Association.
    16. Jevgenijs Steinbuks, 2010. "Interfuel Substitution and Energy Use in the UK Manufacturing Sector," Working Papers EPRG 1015, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    17. Alain Bousquet & Raja Chakir & Norbert Ladoux, 2002. "Modeling Corner Solutions with Panel Data: Application to Industrial Energy Demand in France," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C3-2, International Conferences on Panel Data.
    18. Raja Chakir & Alban Thomas, 2020. "Unintended consequences of environmental policies: the case of set-aside and agricultural intensification," Working Papers hal-02482207, HAL.
    19. Eskeland, Gunnar S. & Jimenez, Emmanuel & Lili Liu & DEC, 1994. "Energy pricing and air pollution : econometric evidence from manufacturing in Chile and Indonesia," Policy Research Working Paper Series 1323, The World Bank.
    20. Levy, Armando, 2002. "Tobit without apology," Economics Letters, Elsevier, vol. 77(3), pages 399-404, November.
    21. Xiaonan Liu & Jeffrey T. LaFrance & Hayley H. Chouinard & Thomas L. Marsh, 2013. "A Generalized Utility Model with Binding Non-Negativity Constraints: Demand for Beer," 2013 Papers pli830, Job Market Papers.
    22. Hervé Guyomard & Louis Mahé, 1993. "Théorie de la production en présence de rationnements avec applications. L'exemple des quotas laitiers dans la CEE," Revue Économique, Programme National Persée, vol. 44(1), pages 71-94.
    23. Felipe Lavín & Larry Dale & Michael Hanemann & Mithra Moezzi, 2011. "The impact of price on residential demand for electricity and natural gas," Climatic Change, Springer, vol. 109(1), pages 171-189, December.
    24. Bousquet, Alain & Ivaldi, Marc, 1998. "An individual choice model of energy mix," Resource and Energy Economics, Elsevier, vol. 20(3), pages 263-286, September.
    25. Lundmark, Robert, 2008. "Empirical specification of cost reductions associated with accumulated knowledge in the Swedish kraft paper industry," Forest Policy and Economics, Elsevier, vol. 10(7-8), pages 460-466, October.
    26. Abuelhaj, Tareq & Gassmann, Franziska & O'Donoghue, Cathal, 2018. "Price opinion data in subsidized economies: Empirical evidence from Iraq," MERIT Working Papers 2018-033, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    27. Daniel J. Phaneuf & Catherine L. Kling & Joseph A. Herriges, 1998. "Estimation and Welfare Calculations in a Generalized Corner Solution Model with an Application to Recreation Demand," Center for Agricultural and Rural Development (CARD) Publications 99-wp207, Center for Agricultural and Rural Development (CARD) at Iowa State University.
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    29. Bjorner, Thomas Bue & Jensen, Henrik Holm, 2002. "Energy taxes, voluntary agreements and investment subsidies--a micro-panel analysis of the effect on Danish industrial companies' energy demand," Resource and Energy Economics, Elsevier, vol. 24(3), pages 229-249, June.
    30. Hanemann, Michael & Labandeira, Xavier & Labeaga, José M. & Vásquez-Lavín, Felipe, 2024. "Discrete-continuous models of residential energy demand: A comprehensive review," Resource and Energy Economics, Elsevier, vol. 77(C).
    31. Lundmark, Robert & Soderholm, Patrik, 2004. "Estimating and decomposing the rate of technical change in the Swedish pulp and paper industry: A general index approach," International Journal of Production Economics, Elsevier, vol. 91(1), pages 17-35, September.
    32. Huffman, Sonya Kostova, 1999. "Changes of household consumption behavior during the transition from centrally-planned to market-oriented economy," ISU General Staff Papers 1999010108000013568, Iowa State University, Department of Economics.
    33. Chandra Bhat & Abdul Pinjari, 2014. "Multiple discrete-continuous choice models: a reflective analysis and a prospective view," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 19, pages 427-454, Edward Elgar Publishing.
    34. Yen, Steven T. & Huang, Chung L., 2002. "Cross-Sectional Estimation Of U.S. Demand For Beef Products: A Censored System Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(2), pages 1-15, December.
    35. BEL François & LACROIX Anne & SALANIE François & THOMAS Alban, 2006. "Evaluating the impact of CAP reforms on land use and the environment: a two-step estimation with multiple selection rules and panel data," LERNA Working Papers 06.13.206, LERNA, University of Toulouse.
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    37. KITAMURA Toshihiko & MANAGI Shunsuke, 2016. "Substitution between Purchased Electricity and Fuel for Onsite Power Generation in the Manufacturing Industry: Plant level analysis in Japan," Discussion papers 16007, Research Institute of Economy, Trade and Industry (RIETI).
    38. Fahs, Rafic & Cardell, N. Scott & Mittelhammer, Ronald C., 2001. "Semiparametric Estimation and Inference in a System of Censored Demand Equations," 2001 Annual meeting, August 5-8, Chicago, IL 20482, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    39. Gould, Brian W. & Yen, Steven T., 2002. "Food Demand In Mexico: A Quasi-Maximum Likelihood Approach," 2002 Annual meeting, July 28-31, Long Beach, CA 19667, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    40. Phaneuf, Daniel James, 1997. "Generalized corner solution models in recreation demand," ISU General Staff Papers 1997010108000013022, Iowa State University, Department of Economics.
    41. Lundmark, Robert, 2005. "A comparison of approaches towards measuring technical change: the case of Swedish newsprint production," Forest Policy and Economics, Elsevier, vol. 7(4), pages 563-577, May.
    42. Lars Gårn Hansen & Laura Mørch Andersen, 2013. "Does Organic Crowding Out Influence Organic Food Demand? – evidence from a Danish micro panel," IFRO Working Paper 2013/2, University of Copenhagen, Department of Food and Resource Economics.
    43. Vithala R. Rao & Gary J. Russell & Hemant Bhargava & Alan Cooke & Tim Derdenger & Hwang Kim & Nanda Kumar & Irwin Levin & Yu Ma & Nitin Mehta & John Pracejus & R. Venkatesh, 2018. "Emerging Trends in Product Bundling: Investigating Consumer Choice and Firm Behavior," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 107-120, March.
    44. Guyomard, Herve & Mahe, Louis Adrien Pascal, 1993. "Producer Behaviour Under Strict Rationing and Quai-Fixed Factors," Bulletins 7489, University of Minnesota, Economic Development Center.
    45. Meyerhoefer, Chad D. & Ranney, Christine K. & Sahn, David E., 2003. "Consistent Estimation Of Longitudinal Censored Demand Systems: An Application To Transition Country Data," Working Papers 127252, Cornell University, Department of Applied Economics and Management.

  17. Lee, Lung-Fei & Pitt, Mark M., 1984. "Microeconometric Models of Consumer and Producer Demand with Limited Dependent Variables," Bulletins 7495, University of Minnesota, Economic Development Center.

    Cited by:

    1. Arias, Carlos & Perali, Carlo Federico, 1999. "Exploring Alternatives For Estimating Systems Of Equations With Multiple Censored Variables: Farm Output Supply And Input Demand," 1999 Annual meeting, August 8-11, Nashville, TN 21591, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Carlos Arias & THOMAS L. COX, 1998. "Estimation of a U.S. Dairy Sector Model by Maximum Simulated Likelihood," Wisconsin-Madison Agricultural and Applied Economics Staff Papers 417, Wisconsin-Madison Agricultural and Applied Economics Department.
    3. Stephen Pudney, 1988. "Estimating engel curves : a generalisation of the P-Tobit model," Finnish Economic Papers, Finnish Economic Association, vol. 1(2), pages 129-147, Autumn.
    4. Arias, Carlos & Cox, Thomas L., 1998. "Estimation Of A U.S. Dairy Sector Model By Maximum Simulated Likelihood," Staff Papers 12617, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.

  18. Lung-fei Lee, "undated". "A Numerically Stable Quadrature Procedure for the One-Factor Random Component Discrete Choice Model," Computing in Economics and Finance 1997 158, Society for Computational Economics.

    Cited by:

    1. Raymond, Wladimir & Mairesse, Jacques & Mohnen, Pierre & Palm, Franz, 2015. "Dynamic models of R & D, innovation and productivity: Panel data evidence for Dutch and French manufacturing," European Economic Review, Elsevier, vol. 78(C), pages 285-306.
    2. Partha Deb & Furio Rosati, 2002. "Determinants of Child Labor and School Attendance: The Role of Household Unobservables," Economics Working Paper Archive at Hunter College 02/9, Hunter College Department of Economics.
    3. Michael Lechner & Stefan Lollivier & Thierry Magnac, 2005. "Parametric Binary Choice Models," University of St. Gallen Department of Economics working paper series 2005 2005-23, Department of Economics, University of St. Gallen.
    4. Mauricio Sarrias, 2020. "Random Parameters and Spatial Heterogeneity using Rchoice in R," REGION, European Regional Science Association, vol. 7, pages 1-19.
    5. Heiss, Florian & Winschel, Viktor, 2008. "Likelihood approximation by numerical integration on sparse grids," Journal of Econometrics, Elsevier, vol. 144(1), pages 62-80, May.
    6. T.-F. Lo & P.-H. Ke & W.-J. Tsay, 2018. "Pairwise likelihood inference for the random effects probit model," Computational Statistics, Springer, vol. 33(2), pages 837-861, June.
    7. Rabe-Hesketh, Sophia & Skrondal, Anders & Pickles, Andrew, 2005. "Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects," Journal of Econometrics, Elsevier, vol. 128(2), pages 301-323, October.
    8. Partha Deb, 2001. "A discrete random effects probit model with application to the demand for preventive care," Health Economics, John Wiley & Sons, Ltd., vol. 10(5), pages 371-383, July.

Articles

  1. Jin, Fei & Lee, Lung-fei & Yu, Jihai, 2020. "First difference estimation of spatial dynamic panel data models with fixed effects," Economics Letters, Elsevier, vol. 189(C).

    Cited by:

    1. Sung, Bongsuk & Soh, Jin Young & Park, Chun Gun, 2022. "Comparing government support, firm heterogeneity, and inter-firm spillovers for productivity enhancement: Evidence from the Korean solar energy technology industry," Energy, Elsevier, vol. 246(C).
    2. Mengqi Zhang & Boping Tian, 2023. "Estimation of the Non-Parametric Spatial Dynamic Panel Data Model with Fixed Effects," Mathematics, MDPI, vol. 11(13), pages 1-23, June.

  2. Liu, Tuo & Lee, Lung-fei, 2019. "A likelihood ratio test for spatial model selection," Journal of Econometrics, Elsevier, vol. 213(2), pages 434-458.

    Cited by:

    1. Qingliang Fan & Zijian Guo & Ziwei Mei, 2022. "A Heteroskedasticity-Robust Overidentifying Restriction Test with High-Dimensional Covariates," Papers 2205.00171, arXiv.org, revised May 2024.
    2. Bing Su & Fukang Zhu & Ke Zhu, 2023. "Statistical inference for the logarithmic spatial heteroskedasticity model with exogenous variables," Papers 2301.06658, arXiv.org.
    3. Francesco Giordano & Marcella Niglio & Maria Lucia Parrella, 2024. "Testing Spatial Dynamic Panel Data Models with Heterogeneous Spatial and Regression Coefficients," Journal of Time Series Analysis, Wiley Blackwell, vol. 45(5), pages 771-799, September.
    4. Jungyoon Lee & Peter C.B. Phillips & Francesca Rossi, 2020. "Consistent Misspecification Testing in Spatial Autoregressive Models," Cowles Foundation Discussion Papers 2256, Cowles Foundation for Research in Economics, Yale University.
    5. Liu, Tuo & Xu, Xingbai & Lee, Lung-fei, 2022. "Consistency without compactness of the parameter space in spatial econometrics," Economics Letters, Elsevier, vol. 210(C).
    6. Karunanayake, N. & Aimmanee, P. & Lohitvisate, W. & Makhanov, S.S., 2020. "Particle method for segmentation of breast tumors in ultrasound images," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 170(C), pages 257-284.
    7. Ye Yang & Osman Dogan & Suleyman Taspinar & Fei Jin, 2023. "A Review of Cross-Sectional Matrix Exponential Spatial Models," Papers 2311.14813, arXiv.org.

  3. Jin, Fei & Lee, Lung-fei, 2019. "GEL estimation and tests of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 208(2), pages 585-612.

    Cited by:

    1. Yong Bao & Xiaotian Liu & Lihong Yang, 2020. "Indirect Inference Estimation of Spatial Autoregressions," Econometrics, MDPI, vol. 8(3), pages 1-26, September.
    2. Yongsong Qin, 2021. "Empirical Likelihood for Spatial Autoregressive Models with Spatial Autoregressive Disturbances," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(1), pages 1-25, February.
    3. Bing Su & Fukang Zhu & Ke Zhu, 2023. "Statistical inference for the logarithmic spatial heteroskedasticity model with exogenous variables," Papers 2301.06658, arXiv.org.
    4. Yuanying Zhao & Dengke Xu, 2023. "A Bayesian Variable Selection Method for Spatial Autoregressive Quantile Models," Mathematics, MDPI, vol. 11(4), pages 1-19, February.
    5. Fei Jin & Lung‐fei Lee & Kai Yang, 2024. "Best linear and quadratic moments for spatial econometric models with an application to spatial interdependence patterns of employment growth in US counties," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(4), pages 640-658, June.
    6. Bao, Yong, 2024. "Estimating spatial autoregressions under heteroskedasticity without searching for instruments," Regional Science and Urban Economics, Elsevier, vol. 106(C).

  4. Xu, Xingbai & Lee, Lung-fei, 2019. "Theoretical foundations for spatial econometric research," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 2-12.

    Cited by:

    1. Ruonan Xu & Jeffrey M. Wooldridge, 2022. "A Design-Based Approach to Spatial Correlation," Papers 2211.14354, arXiv.org.
    2. Fernando López & Konstatin Kholodilin, 2023. "Putting MARS into space. Non‐linearities and spatial effects in hedonic models," Papers in Regional Science, Wiley Blackwell, vol. 102(4), pages 871-896, August.
    3. Han, Hongyun & Zhou, Zinan, 2024. "The rebound effect of energy consumption and its determinants in China's agricultural production," Energy, Elsevier, vol. 290(C).
    4. Yu, Danlin & Murakami, Daisuke & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Wang, Xiaoxi & Li, Guangdong, 2020. "Investigating high-speed rail construction's support to county level regional development in China: An eigenvector based spatial filtering panel data analysis," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 21-37.
    5. J. Paul Elhorst, 2022. "The dynamic general nesting spatial econometric model for spatial panels with common factors: Further raising the bar," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(3), pages 249-267, December.

  5. Yang, Kai & Lee, Lung-fei, 2019. "Identification and estimation of spatial dynamic panel simultaneous equations models," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 32-46.

    Cited by:

    1. Peter H. Egger & Ingmar R. Prucha, 2023. "Refined GMM estimators for simultaneous equations models with network interactions," Empirical Economics, Springer, vol. 64(6), pages 2535-2542, June.
    2. J. Paul Elhorst & Marco Gross & Eugen Tereanu, 2021. "Cross‐Sectional Dependence And Spillovers In Space And Time: Where Spatial Econometrics And Global Var Models Meet," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 192-226, February.
    3. Marko Mlikota, 2022. "Cross-Sectional Dynamics Under Network Structure: Theory and Macroeconomic Applications," Papers 2211.13610, arXiv.org, revised Sep 2024.
    4. Badi H. Baltagi & Ying Deng & Jing Li & Zhenlin Yang, 2022. "Cities in a Pandemic: Evidence from China," Center for Policy Research Working Papers 251, Center for Policy Research, Maxwell School, Syracuse University.
    5. Dennis Gaus & Heike Link, 2020. "Economic Effects of Transportation Infrastructure Quantity and Quality: A Study of German Counties," Discussion Papers of DIW Berlin 1848, DIW Berlin, German Institute for Economic Research.
    6. Elhorst, J. Paul & Emili, Silvia, 2022. "A spatial econometric multivariate model of Okun's law," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    7. Wu, Jie & Zheng, Zemin & Li, Yang & Zhang, Yi, 2020. "Scalable interpretable learning for multi-response error-in-variables regression," Journal of Multivariate Analysis, Elsevier, vol. 179(C).
    8. Sofien Tiba & Fateh Belaid, 2021. "Modeling The Nexus Between Sustainable Development And Renewable Energy: The African Perspectives," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 307-329, February.
    9. Jun Zhang & Shenghao Zhao & Chaonan Peng & Xianming Gong, 2022. "Spatial Heterogeneity of the Recovery of Road Traffic Volume from the Impact of COVID-19: Evidence from China," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
    10. Marius C. O. Amba & Taoufiki Mbratana & Julie Gallo, 2023. "Spatial panel simultaneous equations models with error components," Empirical Economics, Springer, vol. 65(3), pages 1149-1196, September.

  6. Xu, Xingbai & Lee, Lung-fei, 2018. "Sieve maximum likelihood estimation of the spatial autoregressive Tobit model," Journal of Econometrics, Elsevier, vol. 203(1), pages 96-112.

    Cited by:

    1. Yong Bao & Gucheng Li & Xiaotian Liu, 2024. "A Spatial Sample Selection Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(4), pages 928-950, August.
    2. Jeong, Hanbat & Lee, Lung-fei, 2024. "Maximum likelihood estimation of a spatial autoregressive model for origin–destination flow variables," Journal of Econometrics, Elsevier, vol. 242(1).

  7. Yang, Chao & Lee, Lung-fei & Qu, Xi, 2018. "Tobit models with social interactions: Complete vs incomplete information," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 30-50.

    Cited by:

    1. Xuanzhi Yang & Zhaofang Zhang & Wei Luo & Zhen Tang & Xin Gao & Zhongchi Wan & Xin Zhang, 2019. "The Impact of Government Role on High-Quality Innovation Development in Mainland China," Sustainability, MDPI, vol. 11(20), pages 1-19, October.

  8. Yang, Chao & Lee, Lung-fei, 2018. "Strategical interactions on municipal public safety spending with correlated private information," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 86-102.

    Cited by:

    1. Dũng Tuấn Nguyễn & Takeshi Miyazaki, 2023. "Strategic interaction among Japanese municipalities regarding public servant salary levels," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(2), pages 463-485, October.
    2. Jeong, Hanbat & Lee, Lung-fei, 2020. "Spatial dynamic models with intertemporal optimization: Specification and estimation," Journal of Econometrics, Elsevier, vol. 218(1), pages 82-104.
    3. Debarsy, Nicolas & Yang, Zhenlin, 2018. "Editorial for the special issue entitled: New advances in spatial econometrics: Interactions matter," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 1-5.

  9. Jin, Fei & Lee, Lung-fei, 2018. "Outer-product-of-gradients tests for spatial autoregressive models," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 35-57.

    Cited by:

    1. Debarsy, Nicolas & Yang, Zhenlin, 2018. "Editorial for the special issue entitled: New advances in spatial econometrics: Interactions matter," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 1-5.

  10. Shi, Wei & Lee, Lung-fei, 2018. "A spatial panel data model with time varying endogenous weights matrices and common factors," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 6-34.

    Cited by:

    1. Gary Cornwall & Beau Sauley, 2021. "Indirect effects and causal inference: reconsidering regression discontinuity," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-28, December.
    2. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    3. Ayden Higgins & Federico Martellosio, 2019. "Shrinkage Estimation of Network Spillovers with Factor Structured Errors," Papers 1909.02823, arXiv.org, revised Nov 2021.
    4. Huijun Ji & Arber Hoti, 2022. "Green economy based perspective of low-carbon agriculture growth for total factor energy efficiency improvement," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 353-363, March.
    5. Chen, Xin & Xuan, Chao & Qiu, Rui, 2021. "Understanding spatial spillover effects of airports on economic development: New evidence from China’s hub airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 143(C), pages 48-60.
    6. Sophie Béreau & Nicolas Debarsy & Cyrille Dossougoin & Jean-Yves Gnabo, 2022. "Contagion in the Banking Industry: a Robust-to-Endogeneity Analysis," Working Papers halshs-03513049, HAL.
    7. Le Gallo, Julie & Ndiaye, Youba, 2021. "Environmental expenditure interactions among OECD countries, 1995–2017," Economic Modelling, Elsevier, vol. 94(C), pages 244-255.
    8. Bai, Jushan & Li, Kunpeng, 2021. "Dynamic spatial panel data models with common shocks," Journal of Econometrics, Elsevier, vol. 224(1), pages 134-160.
    9. Jean-Louis Combes & Pascale Combes Motel & Manegdo Ulrich Doamba & Youba Ndiaye, 2023. "Mining the forests: do protected areas hinder mining-driven forest loss in Sub-Saharan Africa?," Working Papers hal-04061084, HAL.
    10. Román Mínguez & Roberto Basile & María Durbán, 2020. "An alternative semiparametric model for spatial panel data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(4), pages 669-708, December.
    11. Debarsy, Nicolas & Yang, Zhenlin, 2018. "Editorial for the special issue entitled: New advances in spatial econometrics: Interactions matter," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 1-5.
    12. Rudra P. Pradhan & Mak B. Arvin & Mahendhiran Nair & Sara E. Bennett, 2020. "Sustainable economic growth in the European Union: The role of ICT, venture capital, and innovation," Review of Financial Economics, John Wiley & Sons, vol. 38(1), pages 34-62, January.
    13. Higgins, Ayden & Martellosio, Federico, 2023. "Shrinkage estimation of network spillovers with factor structured errors," Journal of Econometrics, Elsevier, vol. 233(1), pages 66-87.

  11. Wei Wang & Lung-fei Lee, 2018. "GMM estimation of spatial panel data models with common factors and a general space–time filter," Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(2), pages 247-269, April.

    Cited by:

    1. Bogui Li & Jianbao Chen & Hao Chen, 2024. "Estimation of fixed effects semiparametric single-index panel model with spatio-temporal correlated errors," Statistical Papers, Springer, vol. 65(8), pages 4915-4953, October.
    2. Li, Bogui & Chen, Hao, 2024. "Estimation of fixed effects partially linear varying coefficient spatial autoregressive model with disturbances correlated in space and time," Finance Research Letters, Elsevier, vol. 59(C).

  12. Wang, Wei & Lee, Lung-Fei & Bao, Yan, 2018. "GMM estimation of the spatial autoregressive model in a system of interrelated networks," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 167-198.

    Cited by:

    1. Marius C. O. Amba & Taoufiki Mbratana & Julie Gallo, 2023. "Spatial panel simultaneous equations models with error components," Empirical Economics, Springer, vol. 65(3), pages 1149-1196, September.

  13. Wei Shi & Lung-fei Lee, 2018. "The effects of gun control on crimes: a spatial interactive fixed effects approach," Empirical Economics, Springer, vol. 55(1), pages 233-263, August.

    Cited by:

    1. Alejandro Almeida & Antonio Golpe & Raquel Justo, 2021. "From hot to cold: A spatial analysis of self‐employment in the United States," Papers in Regional Science, Wiley Blackwell, vol. 100(4), pages 1005-1023, August.
    2. John J. Donohue, 2022. "The Effect of Permissive Gun Laws on Crime," The ANNALS of the American Academy of Political and Social Science, , vol. 704(1), pages 92-117, November.
    3. Alnajjar, Hella & Ozbay, Kaan & Iftekhar, Lamia, 2023. "An exploratory analysis on city characteristics likely to affect autonomous vehicle legislation enactment across the United States," Transport Policy, Elsevier, vol. 142(C), pages 37-45.
    4. Lin, Xu & Zhang, Jihu & Jiang, Shanhe, 2022. "Spatial and temporal correlations of crime in Detroit: Evidence from spatial dynamic panel data models," International Review of Law and Economics, Elsevier, vol. 72(C).
    5. Xu Lin & Lizi Wu, 2021. "Interdependence among mental health care providers: evidence from a spatial dynamic panel data model with interactive fixed effects," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 131-165, August.

  14. Fei Jin & Lung-fei Lee, 2018. "Lasso Maximum Likelihood Estimation of Parametric Models with Singular Information Matrices," Econometrics, MDPI, vol. 6(1), pages 1-24, February.

    Cited by:

    1. George Karabatsos, 2023. "Approximate Bayesian computation using asymptotically normal point estimates," Computational Statistics, Springer, vol. 38(2), pages 531-568, June.
    2. Yang, Yuan & McMahan, Christopher S. & Wang, Yu-Bo & Ouyang, Yuyuan, 2024. "Estimation of l0 norm penalized models: A statistical treatment," Computational Statistics & Data Analysis, Elsevier, vol. 192(C).
    3. Woraphon Yamaka & Xuefeng Zhang & Paravee Maneejuk, 2021. "Analyzing the Influence of Transportations on Chinese Inbound Tourism: Markov Switching Penalized Regression Approaches," Mathematics, MDPI, vol. 9(5), pages 1-23, March.
    4. Sida Peng, 2019. "Heterogeneous Endogenous Effects in Networks," Papers 1908.00663, arXiv.org.

  15. Jin, Fei & Lee, Lung-fei, 2018. "Irregular N2SLS and LASSO estimation of the matrix exponential spatial specification model," Journal of Econometrics, Elsevier, vol. 206(2), pages 336-358.

    Cited by:

    1. Bing Su & Fukang Zhu & Ke Zhu, 2023. "Statistical inference for the logarithmic spatial heteroskedasticity model with exogenous variables," Papers 2301.06658, arXiv.org.
    2. Ye Yang & Osman Dogan & Suleyman Taspinar & Fei Jin, 2023. "A Review of Cross-Sectional Matrix Exponential Spatial Models," Papers 2311.14813, arXiv.org.

  16. Yang, Kai & Lee, Lung-fei, 2017. "Identification and QML estimation of multivariate and simultaneous equations spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 196(1), pages 196-214.

    Cited by:

    1. Lütkepohl, Helmut & Milunovich, George & Yang, Minxian, 2020. "Inference in partially identified heteroskedastic simultaneous equations models," Journal of Econometrics, Elsevier, vol. 218(2), pages 317-345.
    2. Alex Centeno, 2022. "A Structural Model for Detecting Communities in Networks," Papers 2209.08380, arXiv.org, revised Oct 2022.
    3. Deller, Steven & Whitacre, Brian, 2018. "Broadband’s Relationship to Rural Housing Values," Staff Paper Series 591, University of Wisconsin, Agricultural and Applied Economics.
    4. Huang, Danyang & Hu, Wei & Jing, Bingyi & Zhang, Bo, 2023. "Grouped spatial autoregressive model," Computational Statistics & Data Analysis, Elsevier, vol. 178(C).
    5. Huang, Danyang & Wang, Feifei & Zhu, Xuening & Wang, Hansheng, 2020. "Two-mode network autoregressive model for large-scale networks," Journal of Econometrics, Elsevier, vol. 216(1), pages 203-219.
    6. William C. Horrace & Hyunseok Jung & Shane Sanders, 2022. "Network Competition and Team Chemistry in the NBA," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 35-49, January.
    7. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2022. "Bayesian estimation of multivariate panel probits with higher‐order network interdependence and an application to firms' global market participation in Guangdong," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1356-1378, November.
    8. AMBA OYON, Claude Marius & Mbratana, Taoufiki, 2017. "Simultaneous equation models with spatially autocorrelated error components," MPRA Paper 82395, University Library of Munich, Germany.
    9. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar & Wolfgang Schmid & Anil K. Bera, 2023. "Spatial and Spatiotemporal Volatility Models: A Review," Papers 2308.13061, arXiv.org.
    10. Zhu, Xuening & Huang, Danyang & Pan, Rui & Wang, Hansheng, 2020. "Multivariate spatial autoregressive model for large scale social networks," Journal of Econometrics, Elsevier, vol. 215(2), pages 591-606.
    11. Ma, Yingying & Lan, Wei & Zhou, Fanying & Wang, Hansheng, 2020. "Approximate least squares estimation for spatial autoregressive models with covariates," Computational Statistics & Data Analysis, Elsevier, vol. 143(C).
    12. Wenbo Zhang & Tho V. Le & Satish V. Ukkusuri & Ruimin Li, 2020. "Influencing factors and heterogeneity in ridership of traditional and app-based taxi systems," Transportation, Springer, vol. 47(2), pages 971-996, April.
    13. Elhorst, J. Paul & Emili, Silvia, 2022. "A spatial econometric multivariate model of Okun's law," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    14. Yang, Kai & Lee, Lung-fei, 2021. "Estimation of dynamic panel spatial vector autoregression: Stability and spatial multivariate cointegration," Journal of Econometrics, Elsevier, vol. 221(2), pages 337-367.
    15. Wu, Jie & Zheng, Zemin & Li, Yang & Zhang, Yi, 2020. "Scalable interpretable learning for multi-response error-in-variables regression," Journal of Multivariate Analysis, Elsevier, vol. 179(C).
    16. Gibson, Heather D. & Hall, Stephen G. & Petroulas, Pavlos & Tavlas, George S., 2022. "An investigation into feedback and spatial relationships between banks’ share prices and sovereign bond spreads during the euro crisis," Journal of Financial Stability, Elsevier, vol. 63(C).
    17. Sofien Tiba & Fateh Belaid, 2021. "Modeling The Nexus Between Sustainable Development And Renewable Energy: The African Perspectives," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 307-329, February.
    18. Fei Jin & Lung‐fei Lee & Kai Yang, 2024. "Best linear and quadratic moments for spatial econometric models with an application to spatial interdependence patterns of employment growth in US counties," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(4), pages 640-658, June.
    19. Xiaodong Liu, 2020. "GMM identification and estimation of peer effects in a system of simultaneous equations," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-27, December.
    20. Stephen G. Hall & George S. Tavlas & Deborah Gefang, 2023. "A test to select between spatial weighting matrices," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-10, December.
    21. Philipp Otto, 2022. "A Multivariate Spatial and Spatiotemporal ARCH Model," Papers 2204.12472, arXiv.org.
    22. Deborah Gefang & Stephen G. Hall & George S. Tavlas, 2022. "Fast Two-Stage Variational Bayesian Approach to Estimating Panel Spatial Autoregressive Models with Unrestricted Spatial Weights Matrices," Papers 2205.15420, arXiv.org, revised Aug 2023.
    23. Lina Lu, 2017. "Simultaneous Spatial Panel Data Models with Common Shocks," Supervisory Research and Analysis Working Papers RPA 17-3, Federal Reserve Bank of Boston.
    24. Wang, Wei & Lee, Lung-Fei & Bao, Yan, 2018. "GMM estimation of the spatial autoregressive model in a system of interrelated networks," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 167-198.
    25. Malabika Koley & Anil K. Bera, 2022. "Testing for spatial dependence in a spatial autoregressive (SAR) model in the presence of endogenous regressors," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-46, December.
    26. AMBA OYON, Claude Marius & Mbratana, Taoufiki, 2018. "Simultaneous Generalized Method of Moments Estimator for Panel Data Models with Spatially Correlated Error Components," MPRA Paper 84746, University Library of Munich, Germany.
    27. Gefang, Deborah & Hall, Stephen G. & Tavlas, George S. & Wang, Yongli, 2024. "Quantifying spillovers among regions," Journal of International Money and Finance, Elsevier, vol. 140(C).
    28. Heather D Gibson & Stephen G Hall & Deborah GeFang & Pavlos Petroulas & George S Tavlas, 2021. "Cross-country spillovers of national financial markets and the effectiveness of ECB policies during the euro-area crisis," Oxford Economic Papers, Oxford University Press, vol. 73(4), pages 1454-1470.
    29. Marius C. O. Amba, 2021. "Simultaneous Equations with Three Way Error Components," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(3), pages 583-596, September.
    30. Xiaoning Zhang & Mei Qu, 2020. "Impact of Environmental Regulation on Scientific and Technological Competitiveness of Resource-Based Cities in China—Based on Panel Data of 33 Resource-Based Cities," IJERPH, MDPI, vol. 17(24), pages 1-16, December.
    31. Marius C. O. Amba & Taoufiki Mbratana & Julie Gallo, 2023. "Spatial panel simultaneous equations models with error components," Empirical Economics, Springer, vol. 65(3), pages 1149-1196, September.

  17. Han, Xiaoyi & Hsieh, Chih-Sheng & Lee, Lung-fei, 2017. "Estimation and model selection of higher-order spatial autoregressive model: An efficient Bayesian approach," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 97-120.

    Cited by:

    1. Jiaxuan Liang & Yi Cheng & Yuqi Su & Shuyue Xiao & Yunquan Song, 2022. "Variable Selection for Spatial Logistic Autoregressive Models," Mathematics, MDPI, vol. 10(17), pages 1-16, August.
    2. Taşpınar, Süleyman & Doğan, Osman & Bera, Anil K., 2017. "GMM gradient tests for spatial dynamic panel data models," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 65-88.
    3. James Paul LeSage, 2020. "Fast MCMC estimation of multiple W-matrix spatial regression models and Metropolis–Hastings Monte Carlo log-marginal likelihoods," Journal of Geographical Systems, Springer, vol. 22(1), pages 47-75, January.
    4. Abhimanyu Gupta, 2020. "Efficient closed-form estimation of large spatial autoregressions," Papers 2008.12395, arXiv.org, revised May 2021.
    5. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2022. "Bayesian estimation of multivariate panel probits with higher‐order network interdependence and an application to firms' global market participation in Guangdong," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1356-1378, November.
    6. Cai, Zhengzheng & Zhu, Yanli & Han, Xiaoyi, 2022. "Bayesian analysis of spatial dynamic panel data model with convex combinations of different spatial weight matrices: A reparameterized approach," Economics Letters, Elsevier, vol. 217(C).
    7. Ye Yang & Osman Doğan & Süleyman Taşpınar, 2023. "Observed-data DIC for spatial panel data models," Empirical Economics, Springer, vol. 64(3), pages 1281-1314, March.

  18. Qu, Xi & Lee, Lung-fei & Yu, Jihai, 2017. "QML estimation of spatial dynamic panel data models with endogenous time varying spatial weights matrices," Journal of Econometrics, Elsevier, vol. 197(2), pages 173-201.

    Cited by:

    1. Jieun Lee, 2022. "Testing Endogeneity of Spatial Weights Matrices in Spatial Dynamic Panel Data Models," Papers 2209.05563, arXiv.org.
    2. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    3. Bera, Anil K. & Doğan, Osman & Taşpınar, Süleyman, 2018. "Simple tests for endogeneity of spatial weights matrices," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 130-142.
    4. Bera Anil K. & Doğan Osman & Taşpınar Süleyman, 2019. "Testing Spatial Dependence in Spatial Models with Endogenous Weights Matrices," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-33, January.
    5. Lee, Jiyon, 2018. "A spatial latent class model," Economics Letters, Elsevier, vol. 162(C), pages 62-68.
    6. Giuseppe Arbia & Anil K. Bera & Osman Doğan & Süleyman Taşpınar, 2020. "Testing Impact Measures in Spatial Autoregressive Models," International Regional Science Review, , vol. 43(1-2), pages 40-75, January.
    7. Ma, Yingying & Guo, Shaojun & Wang, Hansheng, 2023. "Sparse spatio-temporal autoregressions by profiling and bagging," Journal of Econometrics, Elsevier, vol. 232(1), pages 132-147.
    8. Qu, Xi & Lee, Lung-fei & Yang, Chao, 2021. "Estimation of a SAR model with endogenous spatial weights constructed by bilateral variables," Journal of Econometrics, Elsevier, vol. 221(1), pages 180-197.
    9. Sophie Béreau & Nicolas Debarsy & Cyrille Dossougoin & Jean-Yves Gnabo, 2022. "Contagion in the Banking Industry: a Robust-to-Endogeneity Analysis," Working Papers halshs-03513049, HAL.
    10. Huijuan Xiao & Sheng Bao & Jingzheng Ren & Zhenci Xu & Song Xue & Jianguo Liu, 2024. "Global transboundary synergies and trade-offs among Sustainable Development Goals from an integrated sustainability perspective," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    11. Billio, Monica & Caporin, Massimiliano & Frattarolo, Lorenzo & Pelizzon, Loriana, 2018. "Networks in risk spillovers: A multivariate GARCH perspective," SAFE Working Paper Series 225, Leibniz Institute for Financial Research SAFE.
    12. Guillaume Allaire Pouliot, 2022. "Spatial Econometrics for Misaligned Data," Papers 2207.04082, arXiv.org.
    13. Dai, Lu & Zhang, Jiajun & Luo, Shougui, 2022. "Effective R&D capital and total factor productivity: Evidence using spatial panel data models," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    14. Herrera Gómez, Marcos, 2017. "Fundamentos de Econometría Espacial Aplicada [Fundamentals of Applied Spatial Econometrics]," MPRA Paper 80871, University Library of Munich, Germany.
    15. Jie Liu & Chao Bi, 2019. "Effects of Higher Education Levels on Total Factor Productivity Growth," Sustainability, MDPI, vol. 11(6), pages 1-12, March.
    16. Li, Jianan & Han, Xiaoyi, 2019. "Bayesian Lassos for spatial durbin error model with smoothness prior: Application to detect spillovers of China's treaty ports," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 38-74.
    17. Ye Yang & Osman Doğan & Süleyman Taşpınar, 2023. "Observed-data DIC for spatial panel data models," Empirical Economics, Springer, vol. 64(3), pages 1281-1314, March.
    18. Danqing Chen & Jianbao Chen & Shuangshuang Li, 2021. "Instrumental Variable Quantile Regression of Spatial Dynamic Durbin Panel Data Model with Fixed Effects," Mathematics, MDPI, vol. 9(24), pages 1-24, December.
    19. Xiaoling Wang & Hongling Yu & Peng Lv & Cheng Wang & Jun Zhang & Jia Yu, 2019. "Seepage Safety Assessment of Concrete Gravity Dam Based on Matter-Element Extension Model and FDA," Energies, MDPI, vol. 12(3), pages 1-21, February.
    20. Pouliot, Guillaume Allaire, 2023. "Spatial econometrics for misaligned data," Journal of Econometrics, Elsevier, vol. 232(1), pages 168-190.
    21. Jeong, Hanbat & Lee, Lung-fei, 2021. "Spatial dynamic game models for coevolution of intertemporal economic decision-making and spatial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    22. Kong, Wei & Yang, Kai, 2021. "Efficient GMM estimation of a spatial autoregressive model with an endogenous spatial weights matrix," Economics Letters, Elsevier, vol. 208(C).

  19. Cheng, Wei & Lee, Lung-fei, 2017. "Testing endogeneity of spatial and social networks," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 81-97.

    Cited by:

    1. Jieun Lee, 2022. "Testing Endogeneity of Spatial Weights Matrices in Spatial Dynamic Panel Data Models," Papers 2209.05563, arXiv.org.
    2. Bera, Anil K. & Doğan, Osman & Taşpınar, Süleyman, 2018. "Simple tests for endogeneity of spatial weights matrices," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 130-142.
    3. Qu, Xi & Lee, Lung-fei & Yang, Chao, 2021. "Estimation of a SAR model with endogenous spatial weights constructed by bilateral variables," Journal of Econometrics, Elsevier, vol. 221(1), pages 180-197.
    4. Herrera Gómez, Marcos, 2017. "Fundamentos de Econometría Espacial Aplicada [Fundamentals of Applied Spatial Econometrics]," MPRA Paper 80871, University Library of Munich, Germany.
    5. Francesco Giordano & Marcella Niglio & Maria Lucia Parrella, 2024. "Testing Spatial Dynamic Panel Data Models with Heterogeneous Spatial and Regression Coefficients," Journal of Time Series Analysis, Wiley Blackwell, vol. 45(5), pages 771-799, September.
    6. Weiming Li & Zhaoyang Cai & Shixiong Cao, 2021. "What has caused regional income inequality in China? Effects of 10 socioeconomic factors on per capita income," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13403-13417, September.
    7. Jieun Lee, 2022. "Evidence and Strategy on Economic Distance in Spatially Augmented Solow-Swan Growth Model," Papers 2209.05562, arXiv.org.
    8. Wei Cheng, 2022. "Consistent EM algorithm for a spatial autoregressive probit model," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-23, December.
    9. Malabika Koley & Anil K. Bera, 2022. "Testing for spatial dependence in a spatial autoregressive (SAR) model in the presence of endogenous regressors," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-46, December.

  20. Shi, Wei & Lee, Lung-fei, 2017. "Spatial dynamic panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 197(2), pages 323-347.

    Cited by:

    1. J. Paul Elhorst & Marco Gross & Eugen Tereanu, 2021. "Cross‐Sectional Dependence And Spillovers In Space And Time: Where Spatial Econometrics And Global Var Models Meet," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 192-226, February.
    2. Becchio, Cristina & Bottero, Marta Carla & Corgnati, Stefano Paolo & Dell’Anna, Federico, 2018. "Decision making for sustainable urban energy planning: an integrated evaluation framework of alternative solutions for a NZED (Net Zero-Energy District) in Turin," Land Use Policy, Elsevier, vol. 78(C), pages 803-817.
    3. Nicolás Durán & J. Paul Elhorst, 2023. "Induced earthquakes and house prices: the role of spatiotemporal and global effects," Journal of Geographical Systems, Springer, vol. 25(2), pages 157-183, April.
    4. Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2020. "IV Estimation of Spatial Dynamic Panels with Interactive Effects: Large Sample Theory and an Application on Bank Attitude," Monash Econometrics and Business Statistics Working Papers 11/20, Monash University, Department of Econometrics and Business Statistics.
    5. Ayden Higgins & Federico Martellosio, 2019. "Shrinkage Estimation of Network Spillovers with Factor Structured Errors," Papers 1909.02823, arXiv.org, revised Nov 2021.
    6. Shi, Wei & Lee, Lung-fei, 2018. "A spatial panel data model with time varying endogenous weights matrices and common factors," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 6-34.
    7. Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2023. "IV estimation of spatial dynamic panels with interactive effects: large sample theory and an application on bank attitude towards risk," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 124-146.
    8. Li, Liyao & Yang, Zhenlin, 2020. "Estimation of fixed effects spatial dynamic panel data models with small T and unknown heteroskedasticity," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    9. Ando, Tomohiro & Li, Kunpeng & Lu, Lina, 2023. "A spatial panel quantile model with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 232(1), pages 191-213.
    10. Cynthia Fan Yang, 2021. "Common factors and spatial dependence: an application to US house prices," Econometric Reviews, Taylor & Francis Journals, vol. 40(1), pages 14-50, January.
    11. Wei Shi & Lung-fei Lee, 2018. "The effects of gun control on crimes: a spatial interactive fixed effects approach," Empirical Economics, Springer, vol. 55(1), pages 233-263, August.
    12. Jiti Gao & Bin Peng & Yayi Yan, 2023. "Higher-order Expansions and Inference for Panel Data Models," Monash Econometrics and Business Statistics Working Papers 15/23, Monash University, Department of Econometrics and Business Statistics.
    13. Manuela Fritz, 2022. "Wave after wave: determining the temporal lag in Covid-19 infections and deaths using spatial panel data from Germany," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-30, December.
    14. Shiwei Yu & Xing Hu & Xuejiao Zhang & Zhenxi Li, 2019. "Convergence of per capita carbon emissions in the Yangtze River Economic Belt, China," Energy & Environment, , vol. 30(5), pages 776-799, August.
    15. Li, Liyao & Yang, Zhenlin, 2021. "Spatial dynamic panel data models with correlated random effects," Journal of Econometrics, Elsevier, vol. 221(2), pages 424-454.
    16. Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.
    17. Jiangtao Duan & Wei Gao & Hao Qu & Hon Keung Tony, 2019. "Subspace Clustering for Panel Data with Interactive Effects," Papers 1909.09928, arXiv.org, revised Feb 2021.
    18. Jin Seo Cho & Matthew Greenwood-Nimmo & Yongcheol Shin, 2021. "Recent Developments of the Autoregressive Distributed Lag Modelling Framework," Working papers 2021rwp-186, Yonsei University, Yonsei Economics Research Institute.
    19. Elhorst, J. Paul & Madre, Jean-Loup & Pirotte, Alain, 2020. "Car traffic, habit persistence, cross-sectional dependence, and spatial heterogeneity: New insights using French departmental data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 614-632.
    20. Haishi Li & Xiangyi Xu & Shuaishuai Li, 2020. "Does Entrepreneurship Contribute to Innovation Performance When Considering Spatial Spillover Effects? Evidence From the Automobile Industrial Cluster in China," SAGE Open, , vol. 10(4), pages 21582440209, December.
    21. Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2023. "Regional Productivity Network in the EU," CESifo Working Paper Series 10404, CESifo.
    22. Süleyman Taşpınar & Osman DoĞan & Jiyoung Chae & Anil K. Bera, 2021. "Bayesian Inference in Spatial Stochastic Volatility Models: An Application to House Price Returns in Chicago," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1243-1272, October.
    23. Francesco Giordano & Marcella Niglio & Maria Lucia Parrella, 2024. "Testing Spatial Dynamic Panel Data Models with Heterogeneous Spatial and Regression Coefficients," Journal of Time Series Analysis, Wiley Blackwell, vol. 45(5), pages 771-799, September.
    24. Yuki Takara & Shingo Takagi, 2023. "An empirical approach to measure unobserved cultural relations using music trade data," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 47(2), pages 205-245, June.
    25. Anna Gloria Billé & Leopoldo Catania, 2018. "Dynamic Spatial Autoregressive Models with Time-varying Spatial Weighting Matrices," BEMPS - Bozen Economics & Management Paper Series BEMPS55, Faculty of Economics and Management at the Free University of Bozen.
    26. Carmelo Algeri & Antonio F. Forgione & Carlo Migliardo, 2022. "Do spatial dependence and market power matter in the diversification of cooperative banks?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(3), November.
    27. Ye, Xiaoqing & Xu, Juan & Wu, Xiangjun, 2018. "Estimation of an unbalanced panel data Tobit model with interactive effects," Journal of choice modelling, Elsevier, vol. 28(C), pages 108-123.
    28. Kapetanios, George & Serlenga, Laura & Shin, Yongcheol, 2021. "Estimation and inference for multi-dimensional heterogeneous panel datasets with hierarchical multi-factor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 504-531.
    29. Bai, Jushan & Li, Kunpeng, 2021. "Dynamic spatial panel data models with common shocks," Journal of Econometrics, Elsevier, vol. 224(1), pages 134-160.
    30. Liu, Tuo & Xu, Xingbai & Lee, Lung-fei, 2022. "Consistency without compactness of the parameter space in spatial econometrics," Economics Letters, Elsevier, vol. 210(C).
    31. Guo, Juncong & Qu, Xi, 2020. "Fixed effects spatial panel data models with time-varying spatial dependence," Economics Letters, Elsevier, vol. 196(C).
    32. Clemens Possnig & Andreea Rotu{a}rescu & Kyungchul Song, 2022. "Estimating Dynamic Spillover Effects along Multiple Networks in a Linear Panel Model," Papers 2211.08995, arXiv.org.
    33. Issam Khelfaoui & Yuantao Xie & Muhammad Hafeez & Danish Ahmed & Houssem Eddine Degha & Hicham Meskher, 2022. "Information Communication Technology and Infant Mortality in Low-Income Countries: Empirical Study Using Panel Data Models," IJERPH, MDPI, vol. 19(12), pages 1-24, June.
    34. Anna Gloria Billé & Marco Rogna, 2022. "The effect of weather conditions on fertilizer applications: A spatial dynamic panel data analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 3-36, January.
    35. Ting Fung Ma & Fangfang Wang & Jun Zhu & Anthony R. Ives & Katarzyna E. Lewińska, 2023. "Scalable Semiparametric Spatio-temporal Regression for Large Data Analysis," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(2), pages 279-298, June.
    36. Danqing Chen & Jianbao Chen & Shuangshuang Li, 2021. "Instrumental Variable Quantile Regression of Spatial Dynamic Durbin Panel Data Model with Fixed Effects," Mathematics, MDPI, vol. 9(24), pages 1-24, December.
    37. Servén, Luis & Abate, Girum Dagnachew, 2020. "Adding space to the international business cycle," Journal of Macroeconomics, Elsevier, vol. 65(C).
    38. Alexandra Soberon & Antonio Musolesi & Juan M. Rodriguez‐Poo, 2024. "A Semi‐parametric Panel Data Model with Common Factors and Spatial Dependence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(4), pages 905-927, August.
    39. Xiaoling Wang & Hongling Yu & Peng Lv & Cheng Wang & Jun Zhang & Jia Yu, 2019. "Seepage Safety Assessment of Concrete Gravity Dam Based on Matter-Element Extension Model and FDA," Energies, MDPI, vol. 12(3), pages 1-21, February.
    40. Alicja Olejnik & Agata Zoltaszek, 2020. "Tracing The Spatial Patterns Of Innovation Determinants In Regional Economic Performance," Lodz Economics Working Papers 2/2020, University of Lodz, Faculty of Economics and Sociology.
    41. Osman Dou{g}an & Raffaele Mattera & Philipp Otto & Suleyman Tac{s}p{i}nar, 2024. "A Dynamic Spatiotemporal and Network ARCH Model with Common Factors," Papers 2410.16526, arXiv.org.
    42. Jiti Gao & Bin Peng & Yayi Yan, 2022. "A Simple Bootstrap Method for Panel Data Inferences," Monash Econometrics and Business Statistics Working Papers 7/22, Monash University, Department of Econometrics and Business Statistics.
    43. Xu Lin & Lizi Wu, 2021. "Interdependence among mental health care providers: evidence from a spatial dynamic panel data model with interactive fixed effects," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 131-165, August.
    44. Chen, Jia & Shin, Yongcheol & Zheng, Chaowen, 2022. "Estimation and inference in heterogeneous spatial panels with a multifactor error structure," Journal of Econometrics, Elsevier, vol. 229(1), pages 55-79.
    45. Higgins, Ayden & Martellosio, Federico, 2023. "Shrinkage estimation of network spillovers with factor structured errors," Journal of Econometrics, Elsevier, vol. 233(1), pages 66-87.
    46. J. Paul Elhorst, 2022. "The dynamic general nesting spatial econometric model for spatial panels with common factors: Further raising the bar," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(3), pages 249-267, December.
    47. Anna Gloria Billé & Massimiliano Caporin, 2022. "Impact of COVID-19 on financial returns: a spatial dynamic panel data model with random effects," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-21, December.

  21. Yang, Chao & Lee, Lung-fei, 2017. "Social interactions under incomplete information with heterogeneous expectations," Journal of Econometrics, Elsevier, vol. 198(1), pages 65-83.

    Cited by:

    1. Ritika Sethi, 2022. "Can Desegregation Close the Racial Gap in High School Coursework?," Papers 2208.12321, arXiv.org, revised Jul 2023.
    2. Yang, Chao & Lee, Lung-fei & Qu, Xi, 2018. "Tobit models with social interactions: Complete vs incomplete information," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 30-50.
    3. Yingyao Hu & Zhongjian Lin, 2018. "Misclassification and the hidden silent rivalry," CeMMAP working papers CWP12/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Aristide Houndetoungan, 2024. "Count Data Models with Heterogeneous Peer Effects under Rational Expectations," Papers 2405.17290, arXiv.org.
    5. Liu, Xiaodong & Zhou, Jiannan, 2017. "A social interaction model with ordered choices," Economics Letters, Elsevier, vol. 161(C), pages 86-89.
    6. Zhao, Chuanmin & Qu, Xi, 2021. "Peer effects in pension decision-making: evidence from China's new rural pension scheme," Labour Economics, Elsevier, vol. 69(C).
    7. Chen, Yuanyuan & Feng, Shuaizhang & Yang, Chao, 2024. "Heterogeneous peer effects under endogenous selection: An application to local and migrant children in elementary schools in Shanghai," China Economic Review, Elsevier, vol. 87(C).
    8. Hulya Eraslan & Xun Tang, 2018. "Identification and Estimation of Large Network Games with Private Link Information," Koç University-TUSIAD Economic Research Forum Working Papers 1809, Koc University-TUSIAD Economic Research Forum.
    9. Freyens, Benoit Pierre & Gong, Xiaodong, 2020. "Judicial arbitration of unfair dismissal cases: The role of peer effects," International Review of Law and Economics, Elsevier, vol. 64(C).

  22. Xiaoyi Han & Lung-Fei Lee, 2016. "Bayesian Analysis of Spatial Panel Autoregressive Models With Time-Varying Endogenous Spatial Weight Matrices, Common Factors, and Random Coefficients," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 642-660, October.

    Cited by:

    1. Gary Cornwall & Beau Sauley, 2021. "Indirect effects and causal inference: reconsidering regression discontinuity," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-28, December.
    2. Keisuke Kondo, 2022. "Spatial dependence in regional business cycles: evidence from Mexican states," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-46, December.
    3. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    4. Nikolas Kuschnig, 2021. "Bayesian Spatial Econometrics and the Need for Software," Department of Economics Working Papers wuwp318, Vienna University of Economics and Business, Department of Economics.
    5. Sophie Béreau & Nicolas Debarsy & Cyrille Dossougoin & Jean-Yves Gnabo, 2022. "Contagion in the Banking Industry: a Robust-to-Endogeneity Analysis," Working Papers halshs-03513049, HAL.
    6. Nikolas Kuschnig, 2022. "Bayesian spatial econometrics: a software architecture," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-25, December.
    7. Süleyman Taşpınar & Osman DoĞan & Jiyoung Chae & Anil K. Bera, 2021. "Bayesian Inference in Spatial Stochastic Volatility Models: An Application to House Price Returns in Chicago," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1243-1272, October.
    8. Shanxia Sun & Michael S. Delgado, 2024. "Local spatial difference-in-differences models: treatment correlations, response interactions, and expanded local models," Empirical Economics, Springer, vol. 67(5), pages 2077-2107, November.
    9. Anna Gloria Billé & Leopoldo Catania, 2018. "Dynamic Spatial Autoregressive Models with Time-varying Spatial Weighting Matrices," BEMPS - Bozen Economics & Management Paper Series BEMPS55, Faculty of Economics and Management at the Free University of Bozen.
    10. Li, Jianan & Han, Xiaoyi, 2019. "Bayesian Lassos for spatial durbin error model with smoothness prior: Application to detect spillovers of China's treaty ports," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 38-74.
    11. Ye Yang & Osman Doğan & Süleyman Taşpınar, 2023. "Observed-data DIC for spatial panel data models," Empirical Economics, Springer, vol. 64(3), pages 1281-1314, March.
    12. Román Mínguez & Roberto Basile & María Durbán, 2020. "An alternative semiparametric model for spatial panel data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(4), pages 669-708, December.
    13. Osman Dou{g}an & Raffaele Mattera & Philipp Otto & Suleyman Tac{s}p{i}nar, 2024. "A Dynamic Spatiotemporal and Network ARCH Model with Common Factors," Papers 2410.16526, arXiv.org.
    14. Jeong, Hanbat & Lee, Lung-fei, 2021. "Spatial dynamic game models for coevolution of intertemporal economic decision-making and spatial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    15. Osman Doğan & Süleyman Taşpınar & Anil K. Bera, 2021. "Bayesian estimation of stochastic tail index from high-frequency financial data," Empirical Economics, Springer, vol. 61(5), pages 2685-2711, November.

  23. Lung‐fei Lee & Jihai Yu, 2016. "Identification of Spatial Durbin Panel Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 133-162, January.

    Cited by:

    1. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2019. "A time-space dynamic panel data model with spatial moving average errors," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 13-31.
    2. Miranda, Karen & Martínez Ibáñez, Oscar & Manjón Antolín, Miguel C., 2016. "Estimating individual effects and their spatial spillovers in linear panel data models: Public capital spillovers after all?," Working Papers 2072/321479, Universitat Rovira i Virgili, Department of Economics.
    3. Liqian Cai & Arnab Bhattacharjee & Roger Calantone & Taps Maiti, 2019. "Variable Selection with Spatially Autoregressive Errors: A Generalized Moments LASSO Estimator," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 81(1), pages 146-200, September.
    4. Badi H. Baltagi & Alain Pirotte & Zhenlin Yang, 2021. "Diagnostic tests for homoskedasticity in spatial cross-sectional or panel models," Post-Print hal-04120461, HAL.
    5. J. Paul Elhorst & Marco Gross & Eugen Tereanu, 2021. "Cross‐Sectional Dependence And Spillovers In Space And Time: Where Spatial Econometrics And Global Var Models Meet," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 192-226, February.
    6. Federico Martellosio, 2020. "Non-Identifiability in Network Autoregressions," Papers 2011.11084, arXiv.org, revised Jun 2022.
    7. Taşpınar, Süleyman & Doğan, Osman & Bera, Anil K., 2017. "GMM gradient tests for spatial dynamic panel data models," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 65-88.
    8. Li, Liyao & Yang, Zhenlin, 2020. "Estimation of fixed effects spatial dynamic panel data models with small T and unknown heteroskedasticity," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    9. Kwok, Hon Ho, 2019. "Identification and estimation of linear social interaction models," Journal of Econometrics, Elsevier, vol. 210(2), pages 434-458.
    10. Cynthia Fan Yang, 2021. "Common factors and spatial dependence: an application to US house prices," Econometric Reviews, Taylor & Francis Journals, vol. 40(1), pages 14-50, January.
    11. Silva, Cinthya & Pino, Gabriel, 2021. "Does direction of the transmission of bank risk matter? An application to the Chilean banking sector," Finance Research Letters, Elsevier, vol. 38(C).
    12. Li, Liyao & Yang, Zhenlin, 2021. "Spatial dynamic panel data models with correlated random effects," Journal of Econometrics, Elsevier, vol. 221(2), pages 424-454.
    13. Arfat Ahmad Sofi & Subash Sasidharan & Mohammad Younus Bhat, 2023. "Economic growth and club convergence: Is there a neighbour's effect?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2475-2494, July.
    14. Yang, Zhenlin & Yu, Jihai & Liu, Shew Fan, 2016. "Bias correction and refined inferences for fixed effects spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 52-72.
    15. Miranda, Karen & Martínez Ibáñez, Oscar & Manjón Antolín, Miguel C., 2018. "A correlated random effects spatial Durbin model," Working Papers 2072/313840, Universitat Rovira i Virgili, Department of Economics.
    16. Vitor Miguel Ribeiro & Lei Bao, 2021. "Impact of next‐generation access networks on the innovation efficiency of Portuguese municipalities: A spatial econometrics approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(5), pages 1615-1637, October.
    17. Zhenlin Yang, 2018. "Bootstrap LM tests for higher-order spatial effects in spatial linear regression models," Empirical Economics, Springer, vol. 55(1), pages 35-68, August.
    18. Miranda, Karen & Manjón Antolín, Miguel C. & Martínez Ibáñez, Oscar, 2018. "Growth, heterogeneous technological interdependence,and spatial externalities: Theory and Evidence," Working Papers 2072/307363, Universitat Rovira i Virgili, Department of Economics.
    19. Vatsa, Puneet & Pino, Gabriel, 2023. "Spatial spillovers and labor productivity convergence in Canada," Economics Letters, Elsevier, vol. 230(C).
    20. Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2023. "Regional Productivity Network in the EU," CESifo Working Paper Series 10404, CESifo.
    21. Giovanni Millo, 2024. "An Ad Hoc Procedure for Testing Serial Correlation in Spatial Fixed-Effects Panels," Mathematics, MDPI, vol. 12(10), pages 1-18, May.
    22. Anna Gloria Billé & Samantha Leorato, 2017. "Quasi-ML estimation, Marginal Effects and Asymptotics for Spatial Autoregressive Nonlinear Models," BEMPS - Bozen Economics & Management Paper Series BEMPS44, Faculty of Economics and Management at the Free University of Bozen.
    23. Yeycol Leiva & Gabriel Pino, 2020. "Analysis of the impact of school performance on income inequality in the long run: An application to Chilean municipalities," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1045-1080, September.
    24. Paulo Reis Mourao & Mihaela Bronić & Branko Stanić, 2020. "Discussing the determinants of online budget transparency based on a spatial regression analysis of Croatian cities and municipalities: Do good neighbours make you better?," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 23(3), pages 268-287, September.
    25. Ji Uk Kim, 2020. "Technology diffusion, absorptive capacity, and income convergence for Asian developing countries: a dynamic spatial panel approach," Empirical Economics, Springer, vol. 59(2), pages 569-598, August.
    26. Jasim Kada Benotmane & Jan Kueckelhaus & Paulina Will & Junyi Zhang & Vidhya M. Ravi & Kevin Joseph & Roman Sankowski & Jürgen Beck & Catalina Lee-Chang & Oliver Schnell & Dieter Henrik Heiland, 2023. "High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    27. Wang, Wei & Lee, Lung-Fei & Bao, Yan, 2018. "GMM estimation of the spatial autoregressive model in a system of interrelated networks," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 167-198.
    28. Pino, Gabriel, 2022. "Did small or large US banks transmit more risk during the Subprime crisis?," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    29. Kun Duan & Tapas Mishra & Mamata Parhi & Simon Wolfe, 2019. "How Effective are Policy Interventions in a Spatially-Embedded International Real Estate Market?," The Journal of Real Estate Finance and Economics, Springer, vol. 58(4), pages 596-637, May.
    30. J. Paul Elhorst & Ioanna Tziolas & Chang Tan & Petros Milionis, 2024. "The distance decay effect and spatial reach of spillovers," Journal of Geographical Systems, Springer, vol. 26(2), pages 265-289, April.
    31. Manjón Antolín, M. & Martinez Ibañez, Oscar, 2019. "Growth with heterogenous interdependence," DES - Working Papers. Statistics and Econometrics. WS 29023, Universidad Carlos III de Madrid. Departamento de Estadística.
    32. Shi, Wei & Lee, Lung-fei, 2017. "Spatial dynamic panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 197(2), pages 323-347.
    33. Zhai, Xueqi & An, Yunfei, 2021. "The relationship between technological innovation and green transformation efficiency in China: An empirical analysis using spatial panel data," Technology in Society, Elsevier, vol. 64(C).

  24. Chih‐Sheng Hsieh & Lung Fei Lee, 2016. "A Social Interactions Model with Endogenous Friendship Formation and Selectivity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(2), pages 301-319, March.

    Cited by:

    1. Patacchini, Eleonora & Battaglini, Marco & Rainone, Edoardo, 2019. "Endogenous Social Connections in Legislatures," CEPR Discussion Papers 13845, C.E.P.R. Discussion Papers.
    2. Awudu Abdulai, 2023. "Information acquisition and the adoption of improved crop varieties," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1049-1062, August.
    3. Anton Badev, 2014. "Discrete Games in Endogenous Networks: Theory and Policy," 2014 Meeting Papers 901, Society for Economic Dynamics.
    4. Eleonora Patacchini & Tiziano Arduini & Edoardo Rainone, 2014. "Identification and Estimation of Outcome Response with Heterogeneous Treatment Externalities," Center for Policy Research Working Papers 167, Center for Policy Research, Maxwell School, Syracuse University.
    5. Gary Cornwall & Beau Sauley, 2021. "Indirect effects and causal inference: reconsidering regression discontinuity," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-28, December.
    6. Julian Reif, 2018. "A Model of Addiction and Social Interactions," NBER Working Papers 24842, National Bureau of Economic Research, Inc.
    7. Alejandra Agustina Martínez, 2023. "Raise your voice! Activism and peer effects in online social networks," Discussion Papers 2023-05, Nottingham Interdisciplinary Centre for Economic and Political Research (NICEP).
    8. Timothy G. Conley & Nirav Mehta & Ralph Stinebrickner & Todd Stinebrickner, 2024. "Social Interactions, Mechanisms, and Equilibrium: Evidence from a Model of Study Time and Academic Achievement," Journal of Political Economy, University of Chicago Press, vol. 132(3), pages 824-866.
    9. Shuyang Sheng & Xiaoting Sun, 2023. "Social Interactions with Endogenous Group Formation," Papers 2306.01544, arXiv.org.
    10. Tomoya Mori & Shosei Sakaguchi, 2019. "Collaborative Knowledge Creation: Evidence from Japanese Patent Data," KIER Working Papers 998, Kyoto University, Institute of Economic Research.
    11. Gibbons, Steve & Overman, Henry G. & Patacchini, Eleonora, 2015. "Spatial Methods," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 115-168, Elsevier.
    12. Rokhaya Dieye & Bernard Fortin, 2017. "Gender Peer Effects Heterogeneity in Obesity," CIRANO Working Papers 2017s-03, CIRANO.
    13. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2019. "Peer Effects in Networks: a Survey," Working Papers halshs-02440709, HAL.
    14. Áureo de Paula, 2020. "Econometric Models of Network Formation," CeMMAP working papers CWP4/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Vega-Redondo, Fernando & Pin, Paolo & Ubfal, Diego & Benedetti, Priscilla & Domínguez, Magdalena & Rubera, Gaia & Hovy, Dirk & Fornaciari, Tommaso, 2024. "Networking entrepreneurs," UC3M Working papers. Economics 43954, Universidad Carlos III de Madrid. Departamento de Economía.
    16. Pablo Bra~nas-Garza & Lorenzo Ductor & Jarom'ir Kov'ar'ik, 2022. "The role of unobservable characteristics in friendship network formation," Papers 2206.13641, arXiv.org.
    17. Can M. Le & Tianxi Li, 2022. "Linear regression and its inference on noisy network‐linked data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(5), pages 1851-1885, November.
    18. Giovanna Culot & Matteo Podrecca & Guido Nassimbeni & Guido Orzes & Marco Sartor, 2023. "Using supply chain databases in academic research: A methodological critique," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(1), pages 3-25, January.
    19. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    20. Brice Romuald Gueyap Kounga, 2023. "Identification and Estimation of a Semiparametric Logit Model using Network Data," Papers 2310.07151, arXiv.org, revised Jun 2024.
    21. Luis Alvarez & Cristine Pinto & Vladimir Ponczek, 2022. "Homophily in preferences or meetings? Identifying and estimating an iterative network formation model," Papers 2201.06694, arXiv.org, revised Mar 2024.
    22. Cui Zhang & Dandan Zhang, 2023. "Spatial Interactions and the Spread of COVID-19: A Network Perspective," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 383-405, June.
    23. Gao, Wayne Yuan & Li, Ming & Xu, Sheng, 2023. "Logical differencing in dyadic network formation models with nontransferable utilities," Journal of Econometrics, Elsevier, vol. 235(1), pages 302-324.
    24. Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020. "Specification and estimation of network formation and network interaction models with the exponential probability distribution," Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.
    25. Eleonora Patacchini & Edoardo Rainone, 2014. "The Word on Banking - Social Ties, Trust, and the Adoption of Financial Products," EIEF Working Papers Series 1404, Einaudi Institute for Economics and Finance (EIEF), revised Jul 2014.
    26. Patacchini, Eleonora & Bisin, Alberto, 2019. "Dynamic Social Interactions and Health Risk Behavior," CEPR Discussion Papers 13918, C.E.P.R. Discussion Papers.
    27. Oleg Poldin & Diliara Valeeva & Maria Yudkevich, 2016. "Which Peers Matter: How Social Ties Affect Peer-group Effects," Research in Higher Education, Springer;Association for Institutional Research, vol. 57(4), pages 448-468, June.
    28. Arun Advani & Bansi Malde, 2018. "Credibly Identifying Social Effects: Accounting For Network Formation And Measurement Error," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1016-1044, September.
    29. Vincent Boucher, 2014. "Conformism and Self-Selection in Social Networks," Cahiers de recherche 1424, CIRPEE.
    30. Marco Battaglini & Eleonora Patacchini, 2018. "Influencing Connected Legislators," Journal of Political Economy, University of Chicago Press, vol. 126(6), pages 2277-2322.
    31. Ryohei Hisano & Tsutomu Watanabe & Takayuki Mizuno & Takaaki Ohnishi & Didier Sornette, 2015. "The gradual evolution of buyer--seller networks and their role in aggregate fluctuations," Papers 1506.00236, arXiv.org, revised Aug 2016.
    32. David R. Agrawal & Marie-Laure Breuillé & Julie Le Gallo, 2024. "Tax Competition with Intermunicipal Cooperation," CESifo Working Paper Series 11334, CESifo.
    33. Tadao Hoshino & Takahide Yanagi, 2018. "Treatment Effect Models with Strategic Interaction in Treatment Decisions," Papers 1810.08350, arXiv.org, revised Feb 2023.
    34. Ming Li & Zhentao Shi & Yapeng Zheng, 2024. "Estimation and Inference in Dyadic Network Formation Models with Nontransferable Utilities," Papers 2410.23852, arXiv.org.
    35. Wayne Yuan Gao, 2017. "Nonparametric Identification in Index Models of Link Formation," Papers 1710.11230, arXiv.org, revised May 2018.
    36. Zenou, Yves & Lindquist, Matthew & Sauermann, Jan, 2015. "Network Effects on Worker Productivity," CEPR Discussion Papers 10928, C.E.P.R. Discussion Papers.
    37. Anton Badev, 2021. "Nash Equilibria on (Un)Stable Networks," Econometrica, Econometric Society, vol. 89(3), pages 1179-1206, May.
    38. Aristide Houndetoungan & Cristelle Kouame & Michael Vlassopoulos, 2024. "Identifying Peer Effects in Networks with Unobserved Effort and Isolated Students," Papers 2405.06850, arXiv.org.
    39. Dogan, Osman & Taspinar, Suleyman & Bera, Anil K., 2017. "Simple Tests for Social Interaction Models with Network Structures," MPRA Paper 82828, University Library of Munich, Germany.
    40. Houndetoungan, Aristide & Kouame, Cristelle & Vlassopoulos, Michael, 2024. "Identifying Peer Effects in Networks with Unobserved Effort and Isolated Students," IZA Discussion Papers 16998, Institute of Labor Economics (IZA).
    41. William C. Horrace & Hyunseok Jung & Shane Sanders, 2022. "Network Competition and Team Chemistry in the NBA," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 35-49, January.
    42. Arnab Bhattacharjee & Sudipto Roy, 2019. "Abnormal Returns or Mismeasured Risk? Network Effects and Risk Spillover in Stock Returns," JRFM, MDPI, vol. 12(2), pages 1-13, March.
    43. Izaguirre, Alejandro & Di Capua, Laura, 2020. "Exploring peer effects in education in Latin America and the Caribbean," Research in Economics, Elsevier, vol. 74(1), pages 73-86.
    44. Jonathan Norris, 2019. "Identify economics: social influence and skill development," Working Papers 1908, University of Strathclyde Business School, Department of Economics.
    45. Wondmagegn Tirkaso & Atakelty Hailu, 2022. "Does neighborhood matter? Spatial proximity and farmers’ technical efficiency," Agricultural Economics, International Association of Agricultural Economists, vol. 53(3), pages 374-386, May.
    46. Chih‐Sheng Hsieh & Xu Lin, 2021. "Social interactions and social preferences in social networks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(2), pages 165-189, March.
    47. Aristide Houndetoungan, 2024. "Count Data Models with Heterogeneous Peer Effects under Rational Expectations," Papers 2405.17290, arXiv.org.
    48. Alejandra Agustina Martínez, 2023. "Raise your Voice! Activism and Peer Effects in Online Social Networks," Working Papers 277, Red Nacional de Investigadores en Economía (RedNIE).
    49. Liza Charroin & Bernard Fortin & Marie Claire Villeval, 2021. "Homophily, Peer Effects, and Dishonesty," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03196953, HAL.
    50. Hoshino, Tadao, 2022. "Sieve IV estimation of cross-sectional interaction models with nonparametric endogenous effect," Journal of Econometrics, Elsevier, vol. 229(2), pages 263-275.
    51. Vincent Boucher & Finagnon A. Dedewanou & Arnaud Dufays, 2018. "Peer-Induced Beliefs Regarding College Participation," Cahiers de recherche 1817, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    52. Zenou, Yves & picard, pierre & Patacchini, Eleonora, 2015. "Urban Social Structure, Social Capital and Spatial Proximity," CEPR Discussion Papers 10501, C.E.P.R. Discussion Papers.
    53. Rainone, Edoardo, 2020. "The network nature of over-the-counter interest rates," Journal of Financial Markets, Elsevier, vol. 47(C).
    54. Gualdani, Cristina, 2021. "An econometric model of network formation with an application to board interlocks between firms," Journal of Econometrics, Elsevier, vol. 224(2), pages 345-370.
    55. Vincent Boucher & Marion Gousse, 2019. "Wage Dynamics and Peer Referrals," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 31, pages 1-23, January.
    56. Hsieh, Hsu-Sheng, 2020. "Transport policy evaluation based on elasticity analysis with social interactions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 273-296.
    57. Fortin, Bernard & Yazbeck, Myra, 2015. "Peer effects, fast food consumption and adolescent weight gain," Journal of Health Economics, Elsevier, vol. 42(C), pages 125-138.
    58. Braun, Martin & Verdier, Valentin, 2023. "Estimation of spillover effects with matched data or longitudinal network data," Journal of Econometrics, Elsevier, vol. 233(2), pages 689-714.
    59. Vincent Boucher & Bernard Fortin, 2015. "Some Challenges in the Empirics of the Effects of Networks," Cahiers de recherche 1504, CIRPEE.
    60. Juan Camilo Serpa & Harish Krishnan, 2018. "The Impact of Supply Chains on Firm-Level Productivity," Management Science, INFORMS, vol. 64(2), pages 511-532, February.
    61. Patacchini, Eleonora & Rainone, Edoardo & Zenou, Yves, 2017. "Heterogeneous peer effects in education," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 190-227.
    62. Laurens Cherchye & Sam Cosaert & Thomas Demuynck & Bram De Rock, 2020. "Group Consumption with Caring Individuals," The Economic Journal, Royal Economic Society, vol. 130(627), pages 587-622.
    63. Firmin Doko Tchatoka & Robert Garrard & Virginie Masson, 2017. "Testing for Stochastic Dominance in Social Networks," School of Economics and Public Policy Working Papers 2017-02, University of Adelaide, School of Economics and Public Policy.
    64. Patacchini, Eleonora & Arduini, Tiziano, 2016. "Residential Choices of Young Americans," IZA Discussion Papers 10186, Institute of Labor Economics (IZA).
    65. Mohamed Mekki Ben Jemaa, 2016. "Economic, Political and Cultural Proximity and Growth Propagation: A Network Model with Endogenous Proximity Matrix," Working Papers 1047, Economic Research Forum, revised 09 Jan 2016.
    66. Steeve Marchand & Maria Adelaida Lopera, 2017. "Peer Effects and Risk-Taking Among Entrepreneurs: Lab-in-the-Field Evidence," Cahiers de recherche 1703, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    67. William C. Horrace & Xiaodong Liu & Eleonora Patacchini, 2014. "Endogenous Network Production Functions with Selectivity," EIEF Working Papers Series 1406, Einaudi Institute for Economics and Finance (EIEF), revised Sep 2014.
    68. Li, Chunxiao & Gilleskie, Donna B., 2021. "The influence of endogenous behaviors among social pairs: Social interaction effects of smoking," Journal of Health Economics, Elsevier, vol. 80(C).
    69. Qu, Xi & Lee, Lung-fei, 2015. "Estimating a spatial autoregressive model with an endogenous spatial weight matrix," Journal of Econometrics, Elsevier, vol. 184(2), pages 209-232.
    70. Sining Song & Yan Dong & Thomas Kull & Craig Carter & Kefeng Xu, 2023. "Supply chain leakage of greenhouse gas emissions and supplier innovation," Production and Operations Management, Production and Operations Management Society, vol. 32(3), pages 882-903, March.
    71. Bobby Chung, 2018. "Peers' Parents and Educational Attainment: The Exposure Effect," Working Papers 2018-086, Human Capital and Economic Opportunity Working Group.
    72. Arun Advani & Bansi Malde, 2014. "Empirical methods for networks data: social effects, network formation and measurement error," IFS Working Papers W14/34, Institute for Fiscal Studies.
    73. Hsieh, Chih-Sheng & Lin, Xu, 2017. "Gender and racial peer effects with endogenous network formation," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 135-147.
    74. Koen Jochmans, 2020. "Peer effects and endogenous social interactions," Papers 2008.07886, arXiv.org.
    75. Patacchini, Eleonora & Hsieh, Chih-Sheng & Lin, Xu, 2019. "Social Interaction Methods," CEPR Discussion Papers 14141, C.E.P.R. Discussion Papers.
    76. Leung, Michael P., 2019. "A weak law for moments of pairwise stable networks," Journal of Econometrics, Elsevier, vol. 210(2), pages 310-326.
    77. Todd Stinebrickner & Ralph Stinebrickner & Nirav Mehta & Timothy Conley, 2015. "How social interactions determine input choices and outcomes in equilibrium: Evidence from a model of study time and academic achievement," 2015 Meeting Papers 1175, Society for Economic Dynamics.
    78. Edoardo Rainone, 2015. "Testing information diffusion in the decentralized unsecured market for euro funds," Temi di discussione (Economic working papers) 1022, Bank of Italy, Economic Research and International Relations Area.
    79. Gualdani, Cristina, 2018. "An Econometric Model of Network Formation with an Application to Board Interlocks between Firms," TSE Working Papers 17-898, Toulouse School of Economics (TSE), revised Jul 2019.
    80. Giovanni Abbiati & Jonathan Pratschke, 2021. "‘Like with Like’ or ‘Do Like’? Modelling Peer Effects in The Classroom," CSEF Working Papers 603, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    81. Michael P. Leung, 2019. "Inference in Models of Discrete Choice with Social Interactions Using Network Data," Papers 1911.07106, arXiv.org.
    82. Shanxia Sun & Michael S. Delgado, 2024. "Local spatial difference-in-differences models: treatment correlations, response interactions, and expanded local models," Empirical Economics, Springer, vol. 67(5), pages 2077-2107, November.
    83. Cheng, Wei & Lee, Lung-fei, 2017. "Testing endogeneity of spatial and social networks," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 81-97.
    84. Chih‐Sheng Hsieh & Hans van Kippersluis, 2018. "Smoking initiation: Peers and personality," Quantitative Economics, Econometric Society, vol. 9(2), pages 825-863, July.
    85. Ida Johnsson & Hyungsik Roger Moon, 2017. "Estimation of Peer Effects in Endogenous Social Networks: Control Function Approach," Papers 1709.10024, arXiv.org, revised Jul 2019.
    86. Hsieh, Chih-Sheng & Lin, Xu, 2024. "Gender and racial disparities in altruism in social networks," Regional Science and Urban Economics, Elsevier, vol. 108(C).
    87. Tiziano Arduini & Edoardo Rainone, 2024. "Partial identification of treatment response under complementarity and substitutability," Temi di discussione (Economic working papers) 1473, Bank of Italy, Economic Research and International Relations Area.
    88. Adriana Lleras-Muney & Matthew Miller & Shuyang Sheng & Veronica T. Sovero, 2020. "Party On: The Labor Market Returns to Social Networks in Adolescence," NBER Working Papers 27337, National Bureau of Economic Research, Inc.
    89. Cristina Gualdani, 2021. "An Econometric Model of Network Formation with an Application to Board Interlocks between Firms," Post-Print hal-03548907, HAL.
    90. Stefano Pietrosanti & Edoardo Rainone, 2023. "Connecting the dots: the network nature of shocks propagation in credit markets," Temi di discussione (Economic working papers) 1436, Bank of Italy, Economic Research and International Relations Area.
    91. Tiziano Arduini & Eleonora Patacchini & Edoardo Rainone, 2015. "Parametric and Semiparametric IV Estimation of Network Models with Selectivity," EIEF Working Papers Series 1509, Einaudi Institute for Economics and Finance (EIEF), revised Oct 2015.
    92. Chen, Yuanyuan & Feng, Shuaizhang & Yang, Chao, 2024. "Heterogeneous peer effects under endogenous selection: An application to local and migrant children in elementary schools in Shanghai," China Economic Review, Elsevier, vol. 87(C).
    93. Changjoo Kim & Olivier Parent & Rainer vom Hofe, 2018. "The role of peer effects and the built environment on individual travel behavior," Environment and Planning B, , vol. 45(3), pages 452-469, May.
    94. Jonathan Pratschke & Giovanni Abbiati, 2023. "“Like with like” or “do like?” Modeling peer effects in the classroom," Social Science Quarterly, Southwestern Social Science Association, vol. 104(3), pages 265-280, May.
    95. Chung, Bobby W., 2020. "Peers’ parents and educational attainment: The exposure effect," Labour Economics, Elsevier, vol. 64(C).
    96. Eleonora Patacchini & Edoardo Rainone, 2017. "Social ties and the demand for financial services," Temi di discussione (Economic working papers) 1115, Bank of Italy, Economic Research and International Relations Area.
    97. Eyo I. Herstad & Myungkou Shin, 2024. "Identification of a Rank-dependent Peer Effect Model," Papers 2410.14317, arXiv.org.
    98. Comola, Margherita & Inguaggiato, Carla & Mendola, Mariapia, 2024. "Social networks and economic transformation: Evidence from a resettled village in Brazil," Journal of Economic Behavior & Organization, Elsevier, vol. 221(C), pages 17-34.
    99. Junhui Cai & Dan Yang & Wu Zhu & Haipeng Shen & Linda Zhao, 2021. "Network regression and supervised centrality estimation," Papers 2111.12921, arXiv.org.
    100. Xiaoyi Han & Lung-Fei Lee, 2016. "Bayesian Analysis of Spatial Panel Autoregressive Models With Time-Varying Endogenous Spatial Weight Matrices, Common Factors, and Random Coefficients," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 642-660, October.
    101. Diemer, Andreas, 2022. "Endogenous peer effects in diverse friendship networks: Evidence from Swedish classrooms," Economics of Education Review, Elsevier, vol. 89(C).
    102. Gao, Wayne Yuan, 2020. "Nonparametric identification in index models of link formation," Journal of Econometrics, Elsevier, vol. 215(2), pages 399-413.
    103. Bernhard Christopher Dannemann, 2020. "Better Off On Their Own? How Peer Effects Determine International Patterns of the Mathematics Gender Achievement Gap," Working Papers V-433-20, University of Oldenburg, Department of Economics, revised Nov 2020.
    104. Kostas Mavromaras & Peter Dolton, 2017. "Identifying Social Network Effects," The Economic Record, The Economic Society of Australia, vol. 93, pages 1-15, June.
    105. Tomoya Mori & Shosei Sakaguchi, 2019. "Creation of knowledge through exchanges of knowledge: Evidence from Japanese patent data," Papers 1908.01256, arXiv.org, revised Aug 2020.
    106. Tadao Hoshino, 2023. "Causal Interpretation of Linear Social Interaction Models with Endogenous Networks," Papers 2308.04276, arXiv.org, revised Oct 2023.
    107. Eric Auerbach, 2019. "Identification and Estimation of a Partially Linear Regression Model using Network Data," Papers 1903.09679, arXiv.org, revised Jun 2021.
    108. Jonathan Norris, 2019. "Peers, parents and attitudes about school," Working Papers 1901, University of Strathclyde Business School, Department of Economics.
    109. Del Bello, Carlo L. & Patacchini, Eleonora & Zenou, Yves, 2015. "Neighborhood Effects in Education," IZA Discussion Papers 8956, Institute of Labor Economics (IZA).
    110. Guido Kuersteiner & Ingmar Prucha & Ying Zeng, 2024. "Differential Test Performance and Peer Effects," Papers 2406.05283, arXiv.org.
    111. Michael P. Leung & Hyungsik Roger Moon, 2019. "Normal Approximation in Large Network Models," Papers 1904.11060, arXiv.org, revised Oct 2024.

  25. Xi Qu & Xiaoliang Wang & Lung‐fei Lee, 2016. "Instrumental variable estimation of a spatial dynamic panel model with endogenous spatial weights when T is small," Econometrics Journal, Royal Economic Society, vol. 19(3), pages 261-290, October.

    Cited by:

    1. Sebastian Langer, 2019. "Expenditure interactions between municipalities and the role of agglomeration forces: a spatial analysis for North Rhine-Westphalia," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(3), pages 497-527, June.
    2. Bera, Anil K. & Doğan, Osman & Taşpınar, Süleyman, 2018. "Simple tests for endogeneity of spatial weights matrices," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 130-142.
    3. Bera Anil K. & Doğan Osman & Taşpınar Süleyman, 2019. "Testing Spatial Dependence in Spatial Models with Endogenous Weights Matrices," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-33, January.
    4. Lee, Jiyon, 2018. "A spatial latent class model," Economics Letters, Elsevier, vol. 162(C), pages 62-68.
    5. Chen, Xin & Xuan, Chao & Qiu, Rui, 2021. "Understanding spatial spillover effects of airports on economic development: New evidence from China’s hub airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 143(C), pages 48-60.
    6. Qu, Xi & Lee, Lung-fei & Yang, Chao, 2021. "Estimation of a SAR model with endogenous spatial weights constructed by bilateral variables," Journal of Econometrics, Elsevier, vol. 221(1), pages 180-197.
    7. Sophie Béreau & Nicolas Debarsy & Cyrille Dossougoin & Jean-Yves Gnabo, 2022. "Contagion in the Banking Industry: a Robust-to-Endogeneity Analysis," Working Papers halshs-03513049, HAL.
    8. Li, Liyao & Yang, Zhenlin, 2021. "Spatial dynamic panel data models with correlated random effects," Journal of Econometrics, Elsevier, vol. 221(2), pages 424-454.
    9. Massimiliano Cerciello, 2021. "Spatial patterns in food waste at the local level. A preliminary analysis for Italian data," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 83-101, February.
    10. Huijuan Xiao & Sheng Bao & Jingzheng Ren & Zhenci Xu & Song Xue & Jianguo Liu, 2024. "Global transboundary synergies and trade-offs among Sustainable Development Goals from an integrated sustainability perspective," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    11. Ioannis Skevas, 2023. "A novel modeling framework for quantifying spatial spillovers on total factor productivity growth and its components," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1221-1247, August.
    12. T. M. Tonmoy Islam, 2020. "The impact of population agglomeration of an area on its neighbors: evidence from the USA," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 65(1), pages 1-26, August.

  26. Debarsy, Nicolas & Jin, Fei & Lee, Lung-fei, 2015. "Large sample properties of the matrix exponential spatial specification with an application to FDI," Journal of Econometrics, Elsevier, vol. 188(1), pages 1-21.
    See citations under working paper version above.
  27. Jin, Fei & Lee, Lung-fei, 2015. "On the bootstrap for Moran’s I test for spatial dependence," Journal of Econometrics, Elsevier, vol. 184(2), pages 295-314.

    Cited by:

    1. Taşpınar, Süleyman & Doğan, Osman & Bera, Anil K., 2017. "GMM gradient tests for spatial dynamic panel data models," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 65-88.
    2. Sun, Yiguo & Malikov, Emir, 2017. "Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models with Fixed Effects," MPRA Paper 83671, University Library of Munich, Germany.
    3. Jin, Fei & Lee, Lung-fei, 2019. "GEL estimation and tests of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 208(2), pages 585-612.
    4. Zhenlin Yang, 2018. "Bootstrap LM tests for higher-order spatial effects in spatial linear regression models," Empirical Economics, Springer, vol. 55(1), pages 35-68, August.
    5. Ou Bianling & Long Zhihe & Li Wenqian, 2019. "Bootstrap LM Tests for Spatial Dependence in Panel Data Models with Fixed Effects," Journal of Systems Science and Information, De Gruyter, vol. 7(4), pages 330-343, August.

  28. Xu, Xingbai & Lee, Lung-fei, 2015. "Maximum likelihood estimation of a spatial autoregressive Tobit model," Journal of Econometrics, Elsevier, vol. 188(1), pages 264-280.

    Cited by:

    1. Xu, Xiu & Wang, Weining & Shin, Yongcheol, 2020. "Dynamic Spatial Network Quantile Autoregression," IRTG 1792 Discussion Papers 2020-024, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    2. Dargel, Lukas & Thomas-Agnan, Christine, 2022. "A generalized framework for estimating spatial econometric interaction models," TSE Working Papers 22-1312, Toulouse School of Economics (TSE).
    3. Arbia, Giuseppe, 2016. "Spatial Econometrics: A Broad View," Foundations and Trends(R) in Econometrics, now publishers, vol. 8(3-4), pages 145-265, November.
    4. Claudine Desrieux & Romain Espinosa & Michael Visser, 2022. "Simultaneous Decision Making of Juries: Evidence From the Paris Labor Court," CIRED Working Papers hal-04104190, HAL.
    5. Ievoli Corrado & Basile Roberto Giovanni & Belliggiano Angelo, 2017. "The Spatial Patterns of Dairy Farming In Molise," European Countryside, Sciendo, vol. 9(4), pages 729-745, December.
    6. Yang, Chao & Lee, Lung-fei & Qu, Xi, 2018. "Tobit models with social interactions: Complete vs incomplete information," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 30-50.
    7. Fei Jin & Lung-fei Lee, 2020. "Asymptotic properties of a spatial autoregressive stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-40, December.
    8. Xu, Xingbai & Lee, Lung-fei, 2018. "Sieve maximum likelihood estimation of the spatial autoregressive Tobit model," Journal of Econometrics, Elsevier, vol. 203(1), pages 96-112.
    9. Yong Bao & Gucheng Li & Xiaotian Liu, 2024. "A Spatial Sample Selection Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(4), pages 928-950, August.
    10. Rabovic, Renata & Cizek, Pavel, 2016. "Estimation of Spatial Sample Selection Models : A Partial Maximum Likelihood Approach," Discussion Paper 2016-013, Tilburg University, Center for Economic Research.
    11. Bing Su & Fukang Zhu & Ke Zhu, 2023. "Statistical inference for the logarithmic spatial heteroskedasticity model with exogenous variables," Papers 2301.06658, arXiv.org.
    12. Zhao, Chuanmin & Qu, Xi, 2021. "Peer effects in pension decision-making: evidence from China's new rural pension scheme," Labour Economics, Elsevier, vol. 69(C).
    13. Liu, Tuo & Lee, Lung-fei, 2019. "A likelihood ratio test for spatial model selection," Journal of Econometrics, Elsevier, vol. 213(2), pages 434-458.
    14. Jeong, Hanbat & Lee, Lung-fei, 2024. "Maximum likelihood estimation of a spatial autoregressive model for origin–destination flow variables," Journal of Econometrics, Elsevier, vol. 242(1).
    15. T. Arduini, 2016. "Distribution Free Estimation of Spatial Autoregressive Binary Choice Panel Data Models," Working Papers wp1052, Dipartimento Scienze Economiche, Universita' di Bologna.
    16. Yun Li & Ming Xu & Juncheng Dai & Zhenshan Yang & Zhe Cheng, 2023. "Examining the Impact of Infrastructure Financialization on Uneven Regional Development: Evidence from China," Land, MDPI, vol. 12(3), pages 1-12, March.
    17. Xiu Xu & Weining Wang & Yongcheol Shin & Chaowen Zheng, 2021. "Dynamic Network Quantile Regression Model," Papers 2111.07633, arXiv.org.
    18. Ye, Xiaoqing & Xu, Juan & Wu, Xiangjun, 2018. "Estimation of an unbalanced panel data Tobit model with interactive effects," Journal of choice modelling, Elsevier, vol. 28(C), pages 108-123.
    19. Liu, Tuo & Xu, Xingbai & Lee, Lung-fei, 2022. "Consistency without compactness of the parameter space in spatial econometrics," Economics Letters, Elsevier, vol. 210(C).
    20. Anna Gloria Billé & Marco Rogna, 2022. "The effect of weather conditions on fertilizer applications: A spatial dynamic panel data analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 3-36, January.
    21. Wei Cheng, 2022. "Consistent EM algorithm for a spatial autoregressive probit model," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-23, December.
    22. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2017. "Determinants of Firm-Level Domestic Sales and Exports with Spillovers: Evidence from China," Center for Policy Research Working Papers 209, Center for Policy Research, Maxwell School, Syracuse University.
    23. Pouliot, Guillaume Allaire, 2023. "Spatial econometrics for misaligned data," Journal of Econometrics, Elsevier, vol. 232(1), pages 168-190.
    24. Guo, Juncong & Qu, Xi, 2022. "Competition in household human capital investments: Strength, motivations and consequences," Journal of Development Economics, Elsevier, vol. 158(C).

  29. Xu, Xingbai & Lee, Lung-fei, 2015. "A spatial autoregressive model with a nonlinear transformation of the dependent variable," Journal of Econometrics, Elsevier, vol. 186(1), pages 1-18.

    Cited by:

    1. Gupta, A & Robinson, PM, 2015. "Pseudo Maximum Likelihood Estimation of Spatial Autoregressive Models with Increasing Dimension," Economics Discussion Papers 22698, University of Essex, Department of Economics.
    2. Sang-Hyeak Yoon & Hee-Woong Kim, 2019. "What content and context factors lead to selection of a video clip? The heuristic route perspective," Electronic Commerce Research, Springer, vol. 19(3), pages 603-627, September.
    3. Sun, Yiguo, 2016. "Functional-coefficient spatial autoregressive models with nonparametric spatial weights," Journal of Econometrics, Elsevier, vol. 195(1), pages 134-153.
    4. Wu, Changyan & Huang, Xianjin & Chen, Bowen, 2020. "Telecoupling mechanism of urban land expansion based on transportation accessibility: A case study of transitional Yangtze River economic Belt, China," Land Use Policy, Elsevier, vol. 96(C).
    5. Liu, Xiaodong & Prucha, Ingmar R., 2018. "A robust test for network generated dependence," Journal of Econometrics, Elsevier, vol. 207(1), pages 92-113.
    6. Xu, Xingbai & Lee, Lung-fei, 2018. "Sieve maximum likelihood estimation of the spatial autoregressive Tobit model," Journal of Econometrics, Elsevier, vol. 203(1), pages 96-112.
    7. Xu, Xingbai & Lee, Lung-fei, 2015. "Maximum likelihood estimation of a spatial autoregressive Tobit model," Journal of Econometrics, Elsevier, vol. 188(1), pages 264-280.
    8. Hoshino, Tadao, 2022. "Sieve IV estimation of cross-sectional interaction models with nonparametric endogenous effect," Journal of Econometrics, Elsevier, vol. 229(2), pages 263-275.
    9. Gupta, Abhimanyu, 2019. "Estimation Of Spatial Autoregressions With Stochastic Weight Matrices," Econometric Theory, Cambridge University Press, vol. 35(2), pages 417-463, April.
    10. Bing Su & Fukang Zhu & Ke Zhu, 2023. "Statistical inference for the logarithmic spatial heteroskedasticity model with exogenous variables," Papers 2301.06658, arXiv.org.
    11. Fang Lu & Jing Yang & Xuewen Lu, 2022. "One-step oracle procedure for semi-parametric spatial autoregressive model and its empirical application to Boston housing price data," Empirical Economics, Springer, vol. 62(6), pages 2645-2671, June.
    12. Liu, Tuo & Lee, Lung-fei, 2019. "A likelihood ratio test for spatial model selection," Journal of Econometrics, Elsevier, vol. 213(2), pages 434-458.
    13. Liu, Tuo & Xu, Xingbai & Lee, Lung-fei, 2022. "Consistency without compactness of the parameter space in spatial econometrics," Economics Letters, Elsevier, vol. 210(C).
    14. Fernando López & Konstatin Kholodilin, 2023. "Putting MARS into space. Non‐linearities and spatial effects in hedonic models," Papers in Regional Science, Wiley Blackwell, vol. 102(4), pages 871-896, August.
    15. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2017. "Determinants of Firm-Level Domestic Sales and Exports with Spillovers: Evidence from China," Center for Policy Research Working Papers 209, Center for Policy Research, Maxwell School, Syracuse University.
    16. Xiaowen Dai & Shidan Huang & Libin Jin & Maozai Tian, 2023. "Wild Bootstrap-Based Bias Correction for Spatial Quantile Panel Data Models with Varying Coefficients," Mathematics, MDPI, vol. 11(9), pages 1-16, April.
    17. Debarsy, Nicolas & Yang, Zhenlin, 2018. "Editorial for the special issue entitled: New advances in spatial econometrics: Interactions matter," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 1-5.
    18. Glass, Anthony J. & Kenjegalieva, Karligash, 2019. "A spatial productivity index in the presence of efficiency spillovers: Evidence for U.S. banks, 1992–2015," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1165-1179.

  30. Qu, Xi & Lee, Lung-fei, 2015. "Estimating a spatial autoregressive model with an endogenous spatial weight matrix," Journal of Econometrics, Elsevier, vol. 184(2), pages 209-232.

    Cited by:

    1. Gupta, A & Robinson, PM, 2015. "Pseudo Maximum Likelihood Estimation of Spatial Autoregressive Models with Increasing Dimension," Economics Discussion Papers 22698, University of Essex, Department of Economics.
    2. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2019. "Peer Effects in Networks: a Survey," Working Papers halshs-02440709, HAL.
    3. Bera, Anil K. & Doğan, Osman & Taşpınar, Süleyman, 2018. "Simple tests for endogeneity of spatial weights matrices," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 130-142.
    4. Patacchini, Eleonora & Bisin, Alberto, 2019. "Dynamic Social Interactions and Health Risk Behavior," CEPR Discussion Papers 13918, C.E.P.R. Discussion Papers.
    5. Vincent Boucher, 2014. "Conformism and Self-Selection in Social Networks," Cahiers de recherche 1424, CIRPEE.
    6. HAMAGUCHI Nobuaki & KONDO Keisuke, 2022. "Spatial Gaps in Minimum Wages and Job Search of Young Workers," Discussion papers 22022, Research Institute of Economy, Trade and Industry (RIETI).
    7. Dubey, Subodh & Sharma, Ishant & Mishra, Sabyasachee & Cats, Oded & Bansal, Prateek, 2022. "A General Framework to Forecast the Adoption of Novel Products: A Case of Autonomous Vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 165(C), pages 63-95.
    8. Marcos-Martinez, Raymundo & Measham, Thomas G. & Fleming-Muñoz, David A., 2019. "Economic impacts of early unconventional gas mining: Lessons from the coal seam gas industry in New South Wales, Australia," Energy Policy, Elsevier, vol. 125(C), pages 338-346.
    9. Nicolas Debarsy & James Lesage, 2018. "Flexible dependence modeling using convex combinations of different types of connectivity structures," Post-Print halshs-03319303, HAL.
    10. Giuseppe Arbia & Anil K. Bera & Osman Doğan & Süleyman Taşpınar, 2020. "Testing Impact Measures in Spatial Autoregressive Models," International Regional Science Review, , vol. 43(1-2), pages 40-75, January.
    11. Sun, Yiguo, 2016. "Functional-coefficient spatial autoregressive models with nonparametric spatial weights," Journal of Econometrics, Elsevier, vol. 195(1), pages 134-153.
    12. Liu, Xiaodong & Prucha, Ingmar R., 2018. "A robust test for network generated dependence," Journal of Econometrics, Elsevier, vol. 207(1), pages 92-113.
    13. Shi, Wei & Lee, Lung-fei, 2018. "A spatial panel data model with time varying endogenous weights matrices and common factors," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 6-34.
    14. Stefan Borsky & Katja Kalkschmied, 2018. "Corruption in space: A closer look at the world's subnations," Graz Economics Papers 2018-18, University of Graz, Department of Economics.
    15. Luo, Haizhi & Zhang, Yiwen & Gao, Xinyu & Liu, Zhengguang & Song, Xia & Meng, Xiangzhao & Yang, Xiaohu, 2024. "Unveiling land use-carbon Nexus: Spatial matrix-enhanced neural network for predicting commercial and residential carbon emissions," Energy, Elsevier, vol. 305(C).
    16. Áureo de Paula, 2016. "Econometrics of network models," CeMMAP working papers CWP06/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Ando, Tomohiro & Li, Kunpeng & Lu, Lina, 2023. "A spatial panel quantile model with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 232(1), pages 191-213.
    18. Xu, Xingbai & Lee, Lung-fei, 2015. "Maximum likelihood estimation of a spatial autoregressive Tobit model," Journal of Econometrics, Elsevier, vol. 188(1), pages 264-280.
    19. Li, Kunpeng, 2017. "Fixed-effects dynamic spatial panel data models and impulse response analysis," Journal of Econometrics, Elsevier, vol. 198(1), pages 102-121.
    20. Qu, Xi & Lee, Lung-fei & Yang, Chao, 2021. "Estimation of a SAR model with endogenous spatial weights constructed by bilateral variables," Journal of Econometrics, Elsevier, vol. 221(1), pages 180-197.
    21. Hoshino, Tadao, 2022. "Sieve IV estimation of cross-sectional interaction models with nonparametric endogenous effect," Journal of Econometrics, Elsevier, vol. 229(2), pages 263-275.
    22. Vincent Boucher & Finagnon A. Dedewanou & Arnaud Dufays, 2018. "Peer-Induced Beliefs Regarding College Participation," Cahiers de recherche 1817, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    23. Rainone, Edoardo, 2020. "The network nature of over-the-counter interest rates," Journal of Financial Markets, Elsevier, vol. 47(C).
    24. Krisztin, Tamás, 2018. "Semi-parametric spatial autoregressive models in freight generation modeling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 121-143.
    25. Braun, Martin & Verdier, Valentin, 2023. "Estimation of spillover effects with matched data or longitudinal network data," Journal of Econometrics, Elsevier, vol. 233(2), pages 689-714.
    26. Rabovic, Renata & Cizek, Pavel, 2016. "Estimation of Spatial Sample Selection Models : A Partial Maximum Likelihood Approach," Discussion Paper 2016-013, Tilburg University, Center for Economic Research.
    27. Lina Zhang, 2020. "Spillovers of Program Benefits with Missing Network Links," Papers 2009.09614, arXiv.org, revised Aug 2024.
    28. Qu, Xi & Lee, Lung-fei & Yu, Jihai, 2017. "QML estimation of spatial dynamic panel data models with endogenous time varying spatial weights matrices," Journal of Econometrics, Elsevier, vol. 197(2), pages 173-201.
    29. Steeve Marchand & Maria Adelaida Lopera, 2017. "Peer Effects and Risk-Taking Among Entrepreneurs: Lab-in-the-Field Evidence," Cahiers de recherche 1703, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    30. Glass, Anthony J. & Kenjegalieva, Karligash & Douch, Mustapha, 2020. "Uncovering spatial productivity centers using asymmetric bidirectional spillovers," European Journal of Operational Research, Elsevier, vol. 285(2), pages 767-788.
    31. Jeong, Hanbat & Lee, Lung-fei, 2024. "Maximum likelihood estimation of a spatial autoregressive model for origin–destination flow variables," Journal of Econometrics, Elsevier, vol. 242(1).
    32. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin & Jiang, Hongdian, 2022. "How does industrial structure adjustment reduce CO2 emissions? Spatial and mediation effects analysis for China," Energy Economics, Elsevier, vol. 105(C).
    33. Dai, Lu & Zhang, Jiajun & Luo, Shougui, 2022. "Effective R&D capital and total factor productivity: Evidence using spatial panel data models," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    34. Ana Angulo & Peter Burridge & Jes�s Mur, 2017. "Testing for breaks in the weighting matrix," Documentos de Trabajo dt2017-01, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    35. Wu, Maozhen & Zhang, Penglong, 2024. "Poverty alleviation and pollution reduction: Evidence from the poverty hat removal program in China," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 56-76.
    36. Qin, Quande & Yu, Ying & Liu, Yuan & Zhou, Jianqing & Chen, Xiude, 2023. "Industrial agglomeration and energy efficiency: A new perspective from market integration," Energy Policy, Elsevier, vol. 183(C).
    37. Cheng, Wei & Lee, Lung-fei, 2017. "Testing endogeneity of spatial and social networks," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 81-97.
    38. Chen, Na & Jin, Xiu, 2023. "Cross-industry asset allocation with the spatial interaction on multiple risk transmission channels," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    39. Koranteng, Barbara & You, Kefei, 2024. "Fintech and financial stability: Evidence from spatial analysis for 25 countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 93(C).
    40. Glass, Anthony J. & Kenjegaliev, Amangeldi & Kenjegalieva, Karligash, 2020. "Spatial scale and product mix economies in U.S. banking with simultaneous spillover regimes," European Journal of Operational Research, Elsevier, vol. 284(2), pages 693-711.
    41. Konstantinidi, Antri & Kourtellos, Andros & Sun, Yiguo, 2023. "Social threshold regression," Journal of Econometrics, Elsevier, vol. 235(2), pages 2057-2081.
    42. Adriana Lleras-Muney & Matthew Miller & Shuyang Sheng & Veronica T. Sovero, 2020. "Party On: The Labor Market Returns to Social Networks in Adolescence," NBER Working Papers 27337, National Bureau of Economic Research, Inc.
    43. Huyugüzel Kışla, Gül & Özlem Önder, A., 2018. "Spatial analysis of sovereign risks: The case of emerging markets," Finance Research Letters, Elsevier, vol. 26(C), pages 47-55.
    44. Wang, Wei & Lee, Lung-Fei & Bao, Yan, 2018. "GMM estimation of the spatial autoregressive model in a system of interrelated networks," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 167-198.
    45. Diemer, Andreas, 2022. "Endogenous peer effects in diverse friendship networks: Evidence from Swedish classrooms," Economics of Education Review, Elsevier, vol. 89(C).
    46. Subodh Dubey & Ishant Sharma & Sabyasachee Mishra & Oded Cats & Prateek Bansal, 2021. "A General Framework to Forecast the Adoption of Novel Products: A Case of Autonomous Vehicles," Papers 2109.06169, arXiv.org.
    47. Desbordes, Rodolphe, 2021. "Spatial dynamics of major infectious diseases outbreaks: A global empirical assessment," Journal of Mathematical Economics, Elsevier, vol. 93(C).
    48. Xiaowen Dai & Shidan Huang & Libin Jin & Maozai Tian, 2023. "Wild Bootstrap-Based Bias Correction for Spatial Quantile Panel Data Models with Varying Coefficients," Mathematics, MDPI, vol. 11(9), pages 1-16, April.
    49. Debarsy, Nicolas & Yang, Zhenlin, 2018. "Editorial for the special issue entitled: New advances in spatial econometrics: Interactions matter," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 1-5.
    50. Kong, Wei & Yang, Kai, 2021. "Efficient GMM estimation of a spatial autoregressive model with an endogenous spatial weights matrix," Economics Letters, Elsevier, vol. 208(C).
    51. Heil, Thomas L.A. & Peter, Franziska J. & Prange, Philipp, 2022. "Measuring 25 years of global equity market co-movement using a time-varying spatial model," Journal of International Money and Finance, Elsevier, vol. 128(C).
    52. Solmaria Halleck Vega & J. Paul Elhorst, 2015. "The Slx Model," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 339-363, June.
    53. Glass, Anthony J. & Kenjegalieva, Karligash, 2019. "A spatial productivity index in the presence of efficiency spillovers: Evidence for U.S. banks, 1992–2015," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1165-1179.

  31. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.

    Cited by:

    1. Bogui Li & Jianbao Chen & Shuangshuang Li, 2023. "Estimation of Fixed Effects Partially Linear Varying Coefficient Panel Data Regression Model with Nonseparable Space-Time Filters," Mathematics, MDPI, vol. 11(6), pages 1-24, March.
    2. Oluyemi Adewole Okunlola & Yacouba Kassouri, 2023. "Empirical investigation of the agriculture–malnutrition nexus in Africa: Spatial clustering and spillover effects," Review of Development Economics, Wiley Blackwell, vol. 27(2), pages 685-709, May.
    3. Taşpınar, Süleyman & Doğan, Osman & Bera, Anil K., 2017. "GMM gradient tests for spatial dynamic panel data models," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 65-88.
    4. Taspinar, Suleyman & Dogan, Osman & Bera, Anil K., 2017. "GMM Gradient Tests for Spatial Dynamic Panel Data Models," MPRA Paper 82830, University Library of Munich, Germany.
    5. Li, Kunpeng, 2017. "Fixed-effects dynamic spatial panel data models and impulse response analysis," Journal of Econometrics, Elsevier, vol. 198(1), pages 102-121.
    6. Bogui Li & Jianbao Chen & Hao Chen, 2024. "Estimation of fixed effects semiparametric single-index panel model with spatio-temporal correlated errors," Statistical Papers, Springer, vol. 65(8), pages 4915-4953, October.
    7. Marius C. O. Amba & Julie Gallo, 2022. "Specification and estimation of a periodic spatial panel autoregressive model," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-34, December.
    8. Xiu Wu & Jinting Zhang & Daojun Zhang, 2021. "Explore Associations between Subjective Well-Being and Eco-Logical Footprints with Fixed Effects Panel Regressions," Land, MDPI, vol. 10(9), pages 1-15, September.
    9. Li, Bogui & Chen, Hao, 2024. "Estimation of fixed effects partially linear varying coefficient spatial autoregressive model with disturbances correlated in space and time," Finance Research Letters, Elsevier, vol. 59(C).
    10. Ting Fung Ma & Fangfang Wang & Jun Zhu & Anthony R. Ives & Katarzyna E. Lewińska, 2023. "Scalable Semiparametric Spatio-temporal Regression for Large Data Analysis," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(2), pages 279-298, June.
    11. Danqing Chen & Jianbao Chen & Shuangshuang Li, 2021. "Instrumental Variable Quantile Regression of Spatial Dynamic Durbin Panel Data Model with Fixed Effects," Mathematics, MDPI, vol. 9(24), pages 1-24, December.
    12. Jin, Fei & Lee, Lung-fei & Yu, Jihai, 2020. "First difference estimation of spatial dynamic panel data models with fixed effects," Economics Letters, Elsevier, vol. 189(C).
    13. Jiti Gao & Kai Xia, 2017. "Heterogeneous panel data models with cross-sectional dependence," Monash Econometrics and Business Statistics Working Papers 16/17, Monash University, Department of Econometrics and Business Statistics.
    14. Gao, Jiti & Xia, Kai & Zhu, Huanjun, 2020. "Heterogeneous panel data models with cross-sectional dependence," Journal of Econometrics, Elsevier, vol. 219(2), pages 329-353.
    15. Shi, Wei & Lee, Lung-fei, 2017. "Spatial dynamic panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 197(2), pages 323-347.
    16. J. Paul Elhorst, 2022. "The dynamic general nesting spatial econometric model for spatial panels with common factors: Further raising the bar," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(3), pages 249-267, December.

  32. Ji Tao & Lung‐fei Lee, 2014. "A social interaction model with an extreme order statistic," Econometrics Journal, Royal Economic Society, vol. 17(3), pages 197-240, October.

    Cited by:

    1. Arbia, Giuseppe, 2016. "Spatial Econometrics: A Broad View," Foundations and Trends(R) in Econometrics, now publishers, vol. 8(3-4), pages 145-265, November.
    2. Carlos Díaz & Eleonora Patacchini & Thierry Verdier & Yves Zenou, 2021. "Leaders in juvenile crime," Post-Print halshs-03956437, HAL.
    3. Wei Cheng, 2022. "Productivity spillovers in endogenous coauthor networks," Empirical Economics, Springer, vol. 63(6), pages 3159-3183, December.
    4. Yang, Chao & Lee, Lung-fei & Qu, Xi, 2018. "Tobit models with social interactions: Complete vs incomplete information," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 30-50.
    5. Zenou, Yves & Patacchini, Eleonora & Islam, Asad, 2015. "Teams, Organization and Education Outcomes: Evidence from a field experiment in Bangladesh," CEPR Discussion Papers 10631, C.E.P.R. Discussion Papers.
    6. Hahn, Youjin & Islam, Asadul & Patacchini, Eleonora & Zenou, Yves, 2015. "Network Structure and Education Outcomes: Evidence from a Field Experiment in Bangladesh," IZA Discussion Papers 8872, Institute of Labor Economics (IZA).
    7. Eric Auerbach, 2019. "Identification and Estimation of a Partially Linear Regression Model using Network Data," Papers 1903.09679, arXiv.org, revised Jun 2021.
    8. Tatsi, Eirini, 2015. "Endogenous Social Interactions: Which Peers Matter?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113168, Verein für Socialpolitik / German Economic Association.

  33. Lee, Lung-fei & Yu, Jihai, 2014. "Efficient GMM estimation of spatial dynamic panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 180(2), pages 174-197.

    Cited by:

    1. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2019. "A time-space dynamic panel data model with spatial moving average errors," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 13-31.
    2. Cheng Hsiao & Qiankun Zhou, 2017. "JIVE for Panel Dynamic Simultaneous Equations Models," Departmental Working Papers 2017-10, Department of Economics, Louisiana State University.
    3. Nicolas Debarsy & Cyrille Dossougoin & Cem Ertur & Jean-Yves Gnabo, 2018. "Measuring sovereign risk spillovers and assessing the role of transmission channels: A spatial econometrics approach," Post-Print hal-01744629, HAL.
    4. Chen, Xiaoguang & Ye, Jingjing, 2017. "When the Wind Blows: Spatial Spillover Effects of Urban Air Pollution," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258256, Agricultural and Applied Economics Association.
    5. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    6. James Wolter, 2015. "Kernel Estimation Of Hazard Functions When Observations Have Dependent and Common Covariates," Economics Series Working Papers 761, University of Oxford, Department of Economics.
    7. Taşpınar, Süleyman & Doğan, Osman & Bera, Anil K., 2017. "GMM gradient tests for spatial dynamic panel data models," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 65-88.
    8. Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2020. "IV Estimation of Spatial Dynamic Panels with Interactive Effects: Large Sample Theory and an Application on Bank Attitude," Monash Econometrics and Business Statistics Working Papers 11/20, Monash University, Department of Econometrics and Business Statistics.
    9. M. Hashem Pesaran & Cynthia Fan Yang, 2019. "Estimation and inference in spatial models with dominant units," CESifo Working Paper Series 7563, CESifo.
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    12. Jakub Olejnik & Alicja Olejnik, 2017. "Improved asymptotic analysis of Gaussian QML estimators in spatial models," Lodz Economics Working Papers 9/2017, University of Lodz, Faculty of Economics and Sociology.
    13. Julián Ramajo & Alejandro Ricci-Risquete & Lourdes Jerez & Geoffrey J. D. Hewings, 2020. "Impacts of Neighbors on Local Tax Rates: A Space–Time Dynamic Panel Data Analysis," International Regional Science Review, , vol. 43(1-2), pages 105-127, January.
    14. Xuan, Liang & Jiti, Gao & xiaodong, Gong, 2021. "Semiparametric Spatial Autoregressive Panel Data Model with Fixed Effects and Time-Varying Coefficients," MPRA Paper 108497, University Library of Munich, Germany, revised 30 May 2021.
    15. William C. Horrace & Hyunseok Jung & Shane Sanders, 2022. "Network Competition and Team Chemistry in the NBA," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 35-49, January.
    16. Jerome Segura III, 2017. "The effect of state and local taxes on economic growth: A spatial dynamic panel approach," Papers in Regional Science, Wiley Blackwell, vol. 96(3), pages 627-645, August.
    17. Odolinski, Kristofer & Wheat, Phillip, 2016. "Dynamics in rail infrastructure provision: maintenance and renewal costs in Sweden," Working papers in Transport Economics 2016:23, CTS - Centre for Transport Studies Stockholm (KTH and VTI), revised 11 Dec 2017.
    18. Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2023. "IV estimation of spatial dynamic panels with interactive effects: large sample theory and an application on bank attitude towards risk," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 124-146.
    19. Taspinar, Suleyman & Dogan, Osman & Bera, Anil K., 2017. "GMM Gradient Tests for Spatial Dynamic Panel Data Models," MPRA Paper 82830, University Library of Munich, Germany.
    20. Li, Liyao & Yang, Zhenlin, 2020. "Estimation of fixed effects spatial dynamic panel data models with small T and unknown heteroskedasticity," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    21. Badi H. Baltagi & Ying Deng & Jing Li & Zhenlin Yang, 2022. "Cities in a Pandemic: Evidence from China," Center for Policy Research Working Papers 251, Center for Policy Research, Maxwell School, Syracuse University.
    22. Li, Kunpeng, 2017. "Fixed-effects dynamic spatial panel data models and impulse response analysis," Journal of Econometrics, Elsevier, vol. 198(1), pages 102-121.
    23. Ma, Yingying & Guo, Shaojun & Wang, Hansheng, 2023. "Sparse spatio-temporal autoregressions by profiling and bagging," Journal of Econometrics, Elsevier, vol. 232(1), pages 132-147.
    24. Dennis Gaus & Heike Link, 2020. "Economic Effects of Transportation Infrastructure Quantity and Quality: A Study of German Counties," Discussion Papers of DIW Berlin 1848, DIW Berlin, German Institute for Economic Research.
    25. Achim Ahrens & Arnab Bhattacharjee, 2015. "Two-Step Lasso Estimation of the Spatial Weights Matrix," Econometrics, MDPI, vol. 3(1), pages 1-28, March.
    26. Cynthia Fan Yang, 2021. "Common factors and spatial dependence: an application to US house prices," Econometric Reviews, Taylor & Francis Journals, vol. 40(1), pages 14-50, January.
    27. Wei Shi & Lung-fei Lee, 2018. "The effects of gun control on crimes: a spatial interactive fixed effects approach," Empirical Economics, Springer, vol. 55(1), pages 233-263, August.
    28. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar & Wolfgang Schmid & Anil K. Bera, 2023. "Spatial and Spatiotemporal Volatility Models: A Review," Papers 2308.13061, arXiv.org.
    29. Matteo Deleidi & Mariana Mazzucato & Gregor Semieniuk, 2019. "Neither crowding in nor out: Public direct investment mobilising private investment into renewable electricity projects," Working Papers 226, Department of Economics, SOAS University of London, UK.
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    32. Wolter, James Lewis, 2016. "Kernel estimation of hazard functions when observations have dependent and common covariates," Journal of Econometrics, Elsevier, vol. 193(1), pages 1-16.
    33. CHANG Pao-Li & MAKIOKA Ryo & NG Bo Lin & YANG Zhenlin, 2023. "Estimating Firm-level Production Functions with Spatial Dependence in Output, Input, and Productivity," Discussion papers 23016, Research Institute of Economy, Trade and Industry (RIETI).
    34. Hao Zeng & Wei Zhong & Xingbai Xu, 2024. "Transfer Learning for Spatial Autoregressive Models with Application to U.S. Presidential Election Prediction," Papers 2405.15600, arXiv.org, revised Sep 2024.
    35. Bing Su & Fukang Zhu & Ke Zhu, 2023. "Statistical inference for the logarithmic spatial heteroskedasticity model with exogenous variables," Papers 2301.06658, arXiv.org.
    36. Qu, Xi & Lee, Lung-fei & Yu, Jihai, 2017. "QML estimation of spatial dynamic panel data models with endogenous time varying spatial weights matrices," Journal of Econometrics, Elsevier, vol. 197(2), pages 173-201.
    37. Sun, Yiguo & Malikov, Emir, 2017. "Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models with Fixed Effects," MPRA Paper 83671, University Library of Munich, Germany.
    38. Li, Yun & Nie, Dan & Zhao, Xingang & Li, Yanbin, 2017. "Market structure and performance: An empirical study of the Chinese solar cell industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 78-82.
    39. Philipp Otto & Wolfgang Schmid, 2018. "Spatiotemporal analysis of German real-estate prices," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 41-72, January.
    40. Xuan Liang & Jiti Gao & Xiaodong Gong, 2019. "Time-Varying Coefficient Spatial Autoregressive Panel Data Model with Fixed Effects," Monash Econometrics and Business Statistics Working Papers 26/19, Monash University, Department of Econometrics and Business Statistics.
    41. Odolinski, Kristofer & Wheat, Phill, 2018. "Dynamics in rail infrastructure provision: Maintenance and renewal costs in Sweden," Economics of Transportation, Elsevier, vol. 14(C), pages 21-30.
    42. Yu, Jihai & Zhou, Li-An & Zhu, Guozhong, 2016. "Strategic interaction in political competition: Evidence from spatial effects across Chinese cities," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 23-37.
    43. Ran Yu & Zhangchi Wang & Yan Li & Zuhui Wen & Weijia Wang, 2023. "Does Population Aging Affect Carbon Emission Intensity by Regulating Labor Allocation?," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    44. Jeong, Hanbat & Lee, Lung-fei, 2020. "Spatial dynamic models with intertemporal optimization: Specification and estimation," Journal of Econometrics, Elsevier, vol. 218(1), pages 82-104.
    45. Mendieta Ossio, Pablo, 2018. "A Regional Landscape of Bolivian Economic Growth," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 31, pages 78-99, May.
    46. Raffaele Mattera & Philipp Otto, 2023. "Network log-ARCH models for forecasting stock market volatility," Papers 2303.11064, arXiv.org.
    47. Reuvers, Hanno & Wijler, Etienne, 2024. "Sparse generalized Yule–Walker estimation for large spatio-temporal autoregressions with an application to NO2 satellite data," Journal of Econometrics, Elsevier, vol. 239(1).
    48. Lee, Yoonseok & Phillips, Peter C.B., 2015. "Model selection in the presence of incidental parameters," Journal of Econometrics, Elsevier, vol. 188(2), pages 474-489.
    49. Yu Liu & Hongwei Xiao & Precious Zikhali & Yingkang Lv, 2014. "Carbon Emissions in China: A Spatial Econometric Analysis at the Regional Level," Sustainability, MDPI, vol. 6(9), pages 1-19, September.
    50. Lawrence Adu Asamoah & Francesco Figari & Andrea Vezzulli, 2021. "Spillover effects of innovation and entrepreneurial activity on income inequality in developing countries: A spatial panel approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(5), pages 1661-1686, October.
    51. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar, 2022. "Dynamic Spatiotemporal ARCH Models," Papers 2202.13856, arXiv.org.
    52. Cristian Incaltarau & Gabriela Carmen Pascariu & Adelaide Duarte & Peter Nijkamp, 2021. "Migration, regional growth and convergence: a spatial econometric study on Romania," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(3), pages 497-532, June.
    53. Zhao, Xin & Mahendru, Mandeep & Ma, Xiaowei & Rao, Amar & Shang, Yuping, 2022. "Impacts of environmental regulations on green economic growth in China: New guidelines regarding renewable energy and energy efficiency," Renewable Energy, Elsevier, vol. 187(C), pages 728-742.
    54. Francesco Giordano & Marcella Niglio & Maria Lucia Parrella, 2024. "Testing Spatial Dynamic Panel Data Models with Heterogeneous Spatial and Regression Coefficients," Journal of Time Series Analysis, Wiley Blackwell, vol. 45(5), pages 771-799, September.
    55. Suhua Zhang & Yasmin Bani & Aslam Izah Selamat & Judhiana Abdul Ghani, 2022. "Impact of Industrial Agglomeration on China’s Residents’ Consumption," Sustainability, MDPI, vol. 14(7), pages 1-18, April.
    56. Chang, Hsuan-Yu & Wang, Wei & Yu, Jihai, 2021. "Revisiting the environmental Kuznets curve in China: A spatial dynamic panel data approach," Energy Economics, Elsevier, vol. 104(C).
    57. Faris Alshubiri, 2022. "The financial competition, concentration and structure of financial performance nexus in the financial sector of Oman," Economic Change and Restructuring, Springer, vol. 55(2), pages 681-714, May.
    58. Zheng, Xinye & Song, Feng & Yu, Yihua & Song, Shunfeng, 2014. "In Search of Fiscal Interactions: A Spatial Analysis of Chinese Provincial Infrastructure Spending," MPRA Paper 61615, University Library of Munich, Germany.
    59. Hory, Marie-Pierre, 2018. "Delayed mimicking: the timing of fiscal interactions in Europe," European Journal of Political Economy, Elsevier, vol. 55(C), pages 97-118.
    60. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar, 2023. "Dynamic Spatiotemporal ARCH Models: Small and Large Sample Results," Papers 2312.05898, arXiv.org.
    61. Ye Yang & Osman Doğan & Süleyman Taşpınar, 2023. "Observed-data DIC for spatial panel data models," Empirical Economics, Springer, vol. 64(3), pages 1281-1314, March.
    62. Anna Gloria Billé & Marco Rogna, 2022. "The effect of weather conditions on fertilizer applications: A spatial dynamic panel data analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 3-36, January.
    63. Goundan, Anatole & Tankari, Mahamadou Roufahi, 2016. "A dynamic spatial model of agricultural price transmission: Evidence from the Niger millet market:," IFPRI discussion papers 1536, International Food Policy Research Institute (IFPRI).
    64. Kripfganz, Sebastian, 2014. "Unconditional Transformed Likelihood Estimation of Time-Space Dynamic Panel Data Models," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100604, Verein für Socialpolitik / German Economic Association.
    65. Danqing Chen & Jianbao Chen & Shuangshuang Li, 2021. "Instrumental Variable Quantile Regression of Spatial Dynamic Durbin Panel Data Model with Fixed Effects," Mathematics, MDPI, vol. 9(24), pages 1-24, December.
    66. Li, Rui & Wan, Alan T.K. & You, Jinhong, 2016. "Semiparametric GMM estimation and variable selection in dynamic panel data models with fixed effects," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 401-423.
    67. Harald Oberhofer & Christian Glocker & Werner Hölzl & Peter Huber & Serguei Kaniovski & Klaus Nowotny & Michael Pfaffermayr & Monique Ebell & Nikolaos Kontogiannis, 2016. "Single Market Transmission Mechanisms Before, During and After the 2008-09 Crisis. A Quantitative Assessment," WIFO Studies, WIFO, number 59156, January.
    68. Zhichuan Zhu & Bo Liu & Zhuoxi Yu & Jianhong Cao, 2022. "Effects of the Digital Economy on Carbon Emissions: Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-21, August.
    69. Marbuah, George & Gren, Ing-Marie & Tirkaso, Wondmagegn Tafesse, 2021. "Social capital, economic development and carbon emissions: Empirical evidence from counties in Sweden," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    70. Eduardo A. Souza-Rodrigues, 2016. "Nonparametric Regression with Common Shocks," Econometrics, MDPI, vol. 4(3), pages 1-17, September.
    71. Han, Xiaoyi & Hsieh, Chih-Sheng & Lee, Lung-fei, 2017. "Estimation and model selection of higher-order spatial autoregressive model: An efficient Bayesian approach," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 97-120.
    72. Jeong, Hanbat & Lee, Lung-fei, 2021. "Spatial dynamic game models for coevolution of intertemporal economic decision-making and spatial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    73. Fırat GÜNDEM, 2017. "Türkiye’de İBBS 2 Bölgeleri Arasında Gelir Yakınsaması Var mıdır? Mekânsal Ekonometrik Bir Katkı," Sosyoekonomi Journal, Sosyoekonomi Society, issue 25(34).
    74. Chen, Jia & Shin, Yongcheol & Zheng, Chaowen, 2022. "Estimation and inference in heterogeneous spatial panels with a multifactor error structure," Journal of Econometrics, Elsevier, vol. 229(1), pages 55-79.
    75. Hanno Reuvers & Etienne Wijler, 2021. "Sparse Generalized Yule-Walker Estimation for Large Spatio-temporal Autoregressions with an Application to NO2 Satellite Data," Papers 2108.02864, arXiv.org, revised Dec 2021.

  34. Lung-fei Lee & Ji Li & Xu Lin, 2014. "Binary Choice Models with Social Network under Heterogeneous Rational Expectations," The Review of Economics and Statistics, MIT Press, vol. 96(3), pages 402-417, July.

    Cited by:

    1. Yang, Chao & Lee, Lung-fei, 2018. "Strategical interactions on municipal public safety spending with correlated private information," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 86-102.
    2. Mathieu Lambotte & Sandrine Mathy & Anna Risch & Carole Treibich, 2022. "Spreading active transportation: peer effects and key players in the workplace," Post-Print hal-03678886, HAL.
    3. Ritika Sethi, 2022. "Can Desegregation Close the Racial Gap in High School Coursework?," Papers 2208.12321, arXiv.org, revised Jul 2023.
    4. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2019. "Peer Effects in Networks: a Survey," Working Papers halshs-02440709, HAL.
    5. Pamela Giustinelli, 2022. "Expectations in Education: Framework, Elicitation, and Evidence," Working Papers 2022-026, Human Capital and Economic Opportunity Working Group.
    6. Patacchini, Eleonora & Bisin, Alberto, 2019. "Dynamic Social Interactions and Health Risk Behavior," CEPR Discussion Papers 13918, C.E.P.R. Discussion Papers.
    7. Yann Bramoullé & Rachel Kranton, 2015. "Games Played on Networks," AMSE Working Papers 1530, Aix-Marseille School of Economics, France.
    8. Chen, Denghui & Kiefer, Hua & Liu, Xiaodong, 2022. "Estimation of discrete choice network models with missing outcome data," Regional Science and Urban Economics, Elsevier, vol. 97(C).
    9. Tadao Hoshino & Takahide Yanagi, 2018. "Treatment Effect Models with Strategic Interaction in Treatment Decisions," Papers 1810.08350, arXiv.org, revised Feb 2023.
    10. Kim, Changjoo & Parent, Olivier, 2016. "Modeling individual travel behaviors based on intra-household interactions," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 1-11.
    11. David M. Brasington & Olivier Parent, 2017. "Public school consolidation: a partial observability spatial bivariate probit approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 633-656, February.
    12. Yingyao Hu & Zhongjian Lin, 2018. "Misclassification and the hidden silent rivalry," CeMMAP working papers CWP12/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Aristide Houndetoungan, 2024. "Count Data Models with Heterogeneous Peer Effects under Rational Expectations," Papers 2405.17290, arXiv.org.
    14. Bruno Wichmann & Minjie Chen & Wiktor Adamowicz, 2016. "Social Networks and Choice Set Formation in Discrete Choice Models," Econometrics, MDPI, vol. 4(4), pages 1-26, October.
    15. Liu, Xiaodong & Zhou, Jiannan, 2017. "A social interaction model with ordered choices," Economics Letters, Elsevier, vol. 161(C), pages 86-89.
    16. Emily Tanimura, 2021. "Statistical discrimination without knowing statistics: blame social interactions?," Working Papers hal-03096126, HAL.
    17. Zhongjian Lin & Francis Vella, 2024. "Endogenous Treatment Models with Social Interactions: An Application to the Impact of Exercise on Self-Esteem," Papers 2408.13971, arXiv.org.
    18. Vincent Boucher & Carlo del Bello & Fabrizio Panebianco & Thierry Verdier & Yves Zenou, 2023. "Education Transmission and Network Formation," PSE-Ecole d'économie de Paris (Postprint) halshs-03953926, HAL.
    19. Zhao, Chuanmin & Qu, Xi, 2021. "Peer effects in pension decision-making: evidence from China's new rural pension scheme," Labour Economics, Elsevier, vol. 69(C).
    20. Jos'-Antonio Esp'n-S'nchez & 'lvaro Parra & Yuzhou Wang, 2018. "Equilibrium Uniqueness in Entry Games with Private Information," Cowles Foundation Discussion Papers 2126R, Cowles Foundation for Research in Economics, Yale University, revised May 2021.
    21. Mathieu Lambotte, 2024. "Identification and estimation of asymmetries in peer effects for binary outcomes," Economics Working Paper Archive (University of Rennes & University of Caen) 2024-05, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    22. Sadat Reza & Puneet Manchanda & Juin-Kuan Chong, 2021. "Identification and Estimation of Endogenous Peer Effects Using Partial Network Data from Multiple Reference Groups," Management Science, INFORMS, vol. 67(8), pages 5070-5105, August.
    23. Mathieu Lambotte & Sandrine Mathy & Anna Risch & Carole Treibich, 2023. "Disentangling peer effects in transportation mode choice: The example of active commuting," Post-Print hal-04194873, HAL.
    24. Guerra, José Alberto & Mohnen, Myra, 2022. "Multinominal choice with social interactions: occupations in Victorian London," LSE Research Online Documents on Economics 115715, London School of Economics and Political Science, LSE Library.
    25. Lin, Xu, 2014. "Peer effects in adolescents' delinquent behaviors: Evidence from a binary choice network model," Regional Science and Urban Economics, Elsevier, vol. 46(C), pages 73-92.
    26. Brent Glover & Seth Richards-Shubik, 2014. "Contagion in the European Sovereign Debt Crisis," NBER Working Papers 20567, National Bureau of Economic Research, Inc.
    27. Chomsisengphet, Souphala & Kiefer, Hua & Liu, Xiaodong, 2018. "Spillover effects in home mortgage defaults: Identifying the power neighbor," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 68-82.
    28. Xia Du & Wei Zheng & Yi Yao, 2023. "The peer effect in adverse selection: Evidence from the micro health insurance market in Pakistan," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 90(4), pages 1063-1100, December.
    29. Lin, Zhongjian & Tang, Xun & Yu, Ning Neil, 2021. "Uncovering heterogeneous social effects in binary choices," Journal of Econometrics, Elsevier, vol. 222(2), pages 959-973.
    30. Lin, Zhongjian & Hu, Yingyao, 2024. "Binary choice with misclassification and social interactions, with an application to peer effects in attitude," Journal of Econometrics, Elsevier, vol. 238(1).
    31. Chen, Yuanyuan & Feng, Shuaizhang & Yang, Chao, 2024. "Heterogeneous peer effects under endogenous selection: An application to local and migrant children in elementary schools in Shanghai," China Economic Review, Elsevier, vol. 87(C).
    32. Anne Hilger & Christophe Jalil Nordman & Leopold R. Sarr, 2018. "Cognitive and non-cognitive skills, hiring channels, and wages in Bangladesh," Working Papers DT/2018/11, DIAL (Développement, Institutions et Mondialisation).
    33. Xi Chen & Ralf van der Lans & Michael Trusov, 2021. "Efficient Estimation of Network Games of Incomplete Information: Application to Large Online Social Networks," Management Science, INFORMS, vol. 67(12), pages 7575-7598, December.
    34. Emily Tanimura, 2021. "Statistical discrimination without knowing statistics: blame social interactions?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03096126, HAL.
    35. Emerson Melo, 2022. "On the uniqueness of quantal response equilibria and its application to network games," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 74(3), pages 681-725, October.
    36. Govert Bijwaard & Christian Schluter, 2016. "Interdependent Hazards, Local Interactions, and the Return Decision of Recent Migrants," RF Berlin - CReAM Discussion Paper Series 1620, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    37. Yang, Chao & Lee, Lung-fei, 2017. "Social interactions under incomplete information with heterogeneous expectations," Journal of Econometrics, Elsevier, vol. 198(1), pages 65-83.
    38. Lin, Zhongjian & Vella, Francis, 2021. "Selection and Endogenous Treatment Models with Social Interactions: An Application to the Impact of Exercise on Self-Esteem," IZA Discussion Papers 14167, Institute of Labor Economics (IZA).

  35. Xiaodong Liu & Lung-Fei Lee, 2013. "Two-Stage Least Squares Estimation of Spatial Autoregressive Models with Endogenous Regressors and Many Instruments," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 734-753, August.

    Cited by:

    1. Luisa Alamá-Sabater & Teresa Fernández-Núñez & Miguel Ángel Márquez & Javier Salinas-Jimenez, 2020. "Do Countries with Similar Levels of Corruption Compete to Attract Foreign Investment? Evidence Using World Panel Data," Sustainability, MDPI, vol. 12(15), pages 1-15, July.
    2. Fei Jin & Lung-fei Lee, 2013. "Generalized Spatial Two Stage Least Squares Estimation of Spatial Autoregressive Models with Autoregressive Disturbances in the Presence of Endogenous Regressors and Many Instruments," Econometrics, MDPI, vol. 1(1), pages 1-44, May.
    3. Nestor Garza & Colin Lizieri, 2019. "An empirical approach to urban land monopoly: A case study of the city of Barranquilla, Colombia," Urban Studies, Urban Studies Journal Limited, vol. 56(10), pages 1931-1950, August.
    4. Povilas Lastauskas & Eirini Tatsi, 2013. "Spatial Nexus in Crime and unemployment in Times of crisis: Evidence from Germany," Cambridge Working Papers in Economics 1359, Faculty of Economics, University of Cambridge.
    5. Hoshino, Tadao, 2022. "Sieve IV estimation of cross-sectional interaction models with nonparametric endogenous effect," Journal of Econometrics, Elsevier, vol. 229(2), pages 263-275.
    6. Guy Tchuente, 2016. "Estimation of social interaction models using regularization," Studies in Economics 1607, School of Economics, University of Kent.
    7. You, Jing & Huang, Yongfu, 2013. "Green-to-Grey China: Determinants and Forecasts of its Green Growth," MPRA Paper 57468, University Library of Munich, Germany, revised 16 Jul 2014.
    8. Jean‐Claude Kouladoum, 2023. "Technology and control of corruption in Africa," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(6), pages 1163-1180, August.
    9. Simplice A. Asongu & Samba Diop, 2021. "Human development and governance in Africa: do good fences make good neighbours?," Working Papers of the African Governance and Development Institute. 21/051, African Governance and Development Institute..
    10. Liu, Xiaodong & Saraiva, Paulo, 2015. "GMM estimation of SAR models with endogenous regressors," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 68-79.
    11. Bernard Fingleton, 2023. "Estimating dynamic spatial panel data models with endogenous regressors using synthetic instruments," Journal of Geographical Systems, Springer, vol. 25(1), pages 121-152, January.
    12. Fei Jin & Lung‐fei Lee & Kai Yang, 2024. "Best linear and quadratic moments for spatial econometric models with an application to spatial interdependence patterns of employment growth in US counties," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(4), pages 640-658, June.
    13. Xiaodong Liu, 2020. "GMM identification and estimation of peer effects in a system of simultaneous equations," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-27, December.
    14. Sylvain Barde & Rowan Cherodian & Guy Tchuente, 2024. "Moran's I 2-Stage Lasso: for Models with Spatial Correlation and Endogenous Variables," Papers 2404.02584, arXiv.org.
    15. Tadao Hoshino, 2018. "Semiparametric Spatial Autoregressive Models With Endogenous Regressors: With an Application to Crime Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 160-172, January.
    16. Maite Alguacil & Luisa Alamá-Sabater, 2021. "Migration in Spain: The Role of Cultural Diversity Revisited," Politics and Governance, Cogitatio Press, vol. 9(4), pages 118-132.
    17. Jin, Fei & Lee, Lung-fei, 2018. "Irregular N2SLS and LASSO estimation of the matrix exponential spatial specification model," Journal of Econometrics, Elsevier, vol. 206(2), pages 336-358.
    18. Malabika Koley & Anil K. Bera, 2022. "Testing for spatial dependence in a spatial autoregressive (SAR) model in the presence of endogenous regressors," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-46, December.
    19. Solmaria Halleck Vega & J. Paul Elhorst, 2015. "The Slx Model," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 339-363, June.

  36. Fei Jin & Lung-fei Lee, 2013. "Generalized Spatial Two Stage Least Squares Estimation of Spatial Autoregressive Models with Autoregressive Disturbances in the Presence of Endogenous Regressors and Many Instruments," Econometrics, MDPI, vol. 1(1), pages 1-44, May.

    Cited by:

    1. Nestor Garza & Colin Lizieri, 2019. "An empirical approach to urban land monopoly: A case study of the city of Barranquilla, Colombia," Urban Studies, Urban Studies Journal Limited, vol. 56(10), pages 1931-1950, August.
    2. Povilas Lastauskas & Eirini Tatsi, 2013. "Spatial Nexus in Crime and unemployment in Times of crisis: Evidence from Germany," Cambridge Working Papers in Economics 1359, Faculty of Economics, University of Cambridge.
    3. Guy Tchuente, 2016. "Estimation of social interaction models using regularization," Studies in Economics 1607, School of Economics, University of Kent.
    4. You, Jing & Huang, Yongfu, 2013. "Green-to-Grey China: Determinants and Forecasts of its Green Growth," MPRA Paper 57468, University Library of Munich, Germany, revised 16 Jul 2014.
    5. Simplice A. Asongu & Samba Diop, 2021. "Human development and governance in Africa: do good fences make good neighbours?," Working Papers of the African Governance and Development Institute. 21/051, African Governance and Development Institute..
    6. Chalermpong, Saksith & Ratanawaraha, Apiwat & Anuchitchanchai, Ornicha, 2023. "Motorcycle taxis' varying degrees of complementarity and substitution with public transit in Bangkok," Journal of Transport Geography, Elsevier, vol. 108(C).
    7. Liu, Xiaodong & Saraiva, Paulo, 2015. "GMM estimation of SAR models with endogenous regressors," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 68-79.
    8. Bernard Fingleton, 2023. "Estimating dynamic spatial panel data models with endogenous regressors using synthetic instruments," Journal of Geographical Systems, Springer, vol. 25(1), pages 121-152, January.
    9. Xiaodong Liu, 2020. "GMM identification and estimation of peer effects in a system of simultaneous equations," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-27, December.
    10. Tadao Hoshino, 2018. "Semiparametric Spatial Autoregressive Models With Endogenous Regressors: With an Application to Crime Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 160-172, January.
    11. Jin, Fei & Lee, Lung-fei, 2018. "Irregular N2SLS and LASSO estimation of the matrix exponential spatial specification model," Journal of Econometrics, Elsevier, vol. 206(2), pages 336-358.
    12. Solmaria Halleck Vega & J. Paul Elhorst, 2015. "The Slx Model," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 339-363, June.

  37. Qu, Xi & Lee, Lung-fei, 2013. "Locally most powerful tests for spatial interactions in the simultaneous SAR Tobit model," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 307-321.

    Cited by:

    1. Ievoli Corrado & Basile Roberto Giovanni & Belliggiano Angelo, 2017. "The Spatial Patterns of Dairy Farming In Molise," European Countryside, Sciendo, vol. 9(4), pages 729-745, December.
    2. Yang, Chao & Lee, Lung-fei & Qu, Xi, 2018. "Tobit models with social interactions: Complete vs incomplete information," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 30-50.
    3. Bera Anil K. & Doğan Osman & Taşpınar Süleyman, 2019. "Testing Spatial Dependence in Spatial Models with Endogenous Weights Matrices," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-33, January.
    4. Kim, Changjoo & Parent, Olivier, 2016. "Modeling individual travel behaviors based on intra-household interactions," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 1-11.
    5. Xu, Xingbai & Lee, Lung-fei, 2018. "Sieve maximum likelihood estimation of the spatial autoregressive Tobit model," Journal of Econometrics, Elsevier, vol. 203(1), pages 96-112.
    6. Helen Naughton & Pehr-Johan Norbäck & Ayça Tekin-Koru, 2016. "Aggregation Issues of Foreign Direct Investment Estimation in an Interdependent World," The World Economy, Wiley Blackwell, vol. 39(12), pages 2046-2073, December.
    7. Xu, Xingbai & Lee, Lung-fei, 2015. "Maximum likelihood estimation of a spatial autoregressive Tobit model," Journal of Econometrics, Elsevier, vol. 188(1), pages 264-280.
    8. Wan, Qunchao & Chen, Jin & Yao, Zhu & Yuan, Ling, 2022. "Preferential tax policy and R&D personnel flow for technological innovation efficiency of China's high-tech industry in an emerging economy," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    9. Yong Bao & Gucheng Li & Xiaotian Liu, 2024. "A Spatial Sample Selection Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(4), pages 928-950, August.
    10. Jin, Fei & Lee, Lung-fei, 2019. "GEL estimation and tests of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 208(2), pages 585-612.
    11. Xu, Xingbai & Lee, Lung-fei, 2015. "A spatial autoregressive model with a nonlinear transformation of the dependent variable," Journal of Econometrics, Elsevier, vol. 186(1), pages 1-18.
    12. Hsieh, Chih-Sheng & Lin, Xu, 2017. "Gender and racial peer effects with endogenous network formation," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 135-147.
    13. Anna Gloria Billé & Samantha Leorato, 2017. "Quasi-ML estimation, Marginal Effects and Asymptotics for Spatial Autoregressive Nonlinear Models," BEMPS - Bozen Economics & Management Paper Series BEMPS44, Faculty of Economics and Management at the Free University of Bozen.
    14. Cheng, Wei & Lee, Lung-fei, 2017. "Testing endogeneity of spatial and social networks," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 81-97.
    15. Ye, Xiaoqing & Xu, Juan & Wu, Xiangjun, 2018. "Estimation of an unbalanced panel data Tobit model with interactive effects," Journal of choice modelling, Elsevier, vol. 28(C), pages 108-123.
    16. Wei Cheng, 2022. "Consistent EM algorithm for a spatial autoregressive probit model," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-23, December.

  38. Jin, Fei & Lee, Lung-fei, 2013. "Cox-type tests for competing spatial autoregressive models with spatial autoregressive disturbances," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 590-616.

    Cited by:

    1. Badi H. Baltagi & Alain Pirotte & Zhenlin Yang, 2021. "Diagnostic tests for homoskedasticity in spatial cross-sectional or panel models," Post-Print hal-04120461, HAL.
    2. Shew Fan Liu & Zhenlin Yang, 2015. "Asymptotic Distribution and Finite Sample Bias Correction of QML Estimators for Spatial Error Dependence Model," Econometrics, MDPI, vol. 3(2), pages 1-36, May.
    3. Yang, Chao & Lee, Lung-fei & Qu, Xi, 2018. "Tobit models with social interactions: Complete vs incomplete information," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 30-50.
    4. Jin, Fei & Lee, Lung-fei, 2020. "Asymptotically efficient root estimators for spatial autoregressive models with spatial autoregressive disturbances," Economics Letters, Elsevier, vol. 194(C).
    5. Jin, Fei & Lee, Lung-fei, 2018. "Outer-product-of-gradients tests for spatial autoregressive models," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 35-57.
    6. Nicolas Debarsy & James Lesage, 2018. "Flexible dependence modeling using convex combinations of different types of connectivity structures," Post-Print halshs-03319303, HAL.
    7. Nicolas DEBARSY & Cem ERTUR, 2016. "Interaction matrix selection in spatial econometrics with an application to growth theory," LEO Working Papers / DR LEO 2172, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    8. Delgado, Miguel A. & Robinson, Peter M., 2013. "Non-nested testing of spatial correlation," LSE Research Online Documents on Economics 58169, London School of Economics and Political Science, LSE Library.
    9. Debarsy, Nicolas & Ertur, Cem, 2019. "Interaction matrix selection in spatial autoregressive models with an application to growth theory," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 49-69.
    10. Jin, Fei & Lee, Lung-fei, 2019. "GEL estimation and tests of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 208(2), pages 585-612.
    11. Liu, Tuo & Lee, Lung-fei, 2019. "A likelihood ratio test for spatial model selection," Journal of Econometrics, Elsevier, vol. 213(2), pages 434-458.
    12. Zhenlin Yang, 2018. "Bootstrap LM tests for higher-order spatial effects in spatial linear regression models," Empirical Economics, Springer, vol. 55(1), pages 35-68, August.
    13. Jin, Fei & Lee, Lung-fei, 2015. "On the bootstrap for Moran’s I test for spatial dependence," Journal of Econometrics, Elsevier, vol. 184(2), pages 295-314.
    14. Liu, Shew Fan & Yang, Zhenlin, 2015. "Improved inferences for spatial regression models," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 55-67.
    15. Christos Agiakloglou & Apostolos Tsimpanos, 2023. "Evaluating the performance of AIC and BIC for selecting spatial econometric models," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-35, December.
    16. Harry H. Kelejian & Gianfranco Piras, 2013. "A J-Test for Panel Models with Fixed Effects, Spatial and Time," Working Papers Working Paper 2013-03, Regional Research Institute, West Virginia University.
    17. Harry H. Kelejian & Gianfranco Piras, 2016. "A J test for dynamic panel model with fixed effects, and nonparametric spatial and time dependence," Empirical Economics, Springer, vol. 51(4), pages 1581-1605, December.
    18. Niklas Ahlgren & Jan Antell, 2017. "Tests for Abnormal Returns in the Presence of Event-Induced Cross-Sectional Correlation," Journal of Financial Econometrics, Oxford University Press, vol. 15(2), pages 286-301.
    19. Ye Yang & Osman Dogan & Suleyman Taspinar & Fei Jin, 2023. "A Review of Cross-Sectional Matrix Exponential Spatial Models," Papers 2311.14813, arXiv.org.

  39. Han, Xiaoyi & Lee, Lung-fei, 2013. "Model selection using J-test for the spatial autoregressive model vs. the matrix exponential spatial model," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 250-271.

    Cited by:

    1. Delgado, Miguel A. & Robinson, Peter M., 2013. "Non-nested testing of spatial correlation," LSE Research Online Documents on Economics 58169, London School of Economics and Political Science, LSE Library.
    2. Nicolas Debarsy & Fei Jin & Lung-Fei Lee, 2015. "Large sample properties of the matrix exponential spatial specification with an application to FDI," Post-Print hal-00858174, HAL.
    3. Han, Xiaoyi & Lee, Lung-fei, 2013. "Bayesian estimation and model selection for spatial Durbin error model with finite distributed lags," Regional Science and Urban Economics, Elsevier, vol. 43(5), pages 816-837.
    4. Chengjun Liu & Fuqiang Nie & Dong Ren, 2021. "Temporal and Spatial Evolution of China's Human Development Index and Its Determinants: An Extended Study Based on Five New Development Concepts," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 247-282, August.
    5. Liu, Tuo & Lee, Lung-fei, 2019. "A likelihood ratio test for spatial model selection," Journal of Econometrics, Elsevier, vol. 213(2), pages 434-458.
    6. Zhang, Xinyu & Yu, Jihai, 2018. "Spatial weights matrix selection and model averaging for spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 203(1), pages 1-18.
    7. Jin, Fei & Lee, Lung-fei, 2018. "Irregular N2SLS and LASSO estimation of the matrix exponential spatial specification model," Journal of Econometrics, Elsevier, vol. 206(2), pages 336-358.
    8. Ye Yang & Osman Dogan & Suleyman Taspinar & Fei Jin, 2023. "A Review of Cross-Sectional Matrix Exponential Spatial Models," Papers 2311.14813, arXiv.org.

  40. Lung-Fei Lee & Jihai Yu, 2013. "Near Unit Root in the Spatial Autoregressive Model," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(3), pages 314-351, September.

    Cited by:

    1. Abhimanyu Gupta, 2020. "Efficient closed-form estimation of large spatial autoregressions," Papers 2008.12395, arXiv.org, revised May 2021.
    2. Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2013. "Spatial Lag Models with Nested Random Effects: An Instrumental Variable Procedure with an Application to English House Prices," Center for Policy Research Working Papers 161, Center for Policy Research, Maxwell School, Syracuse University.
    3. Baltagi, Badi H. & Liu, Long, 2024. "Testing for spatial correlation under a complete bipartite network," Economics Letters, Elsevier, vol. 241(C).
    4. Gupta, Abhimanyu, 2019. "Estimation Of Spatial Autoregressions With Stochastic Weight Matrices," Econometric Theory, Cambridge University Press, vol. 35(2), pages 417-463, April.
    5. Ulrich K. Müller & Mark W. Watson, 2024. "Spatial Unit Roots and Spurious Regression," Econometrica, Econometric Society, vol. 92(5), pages 1661-1695, September.
    6. Rossi, Francesca & Lieberman, Offer, 2023. "Spatial autoregressions with an extended parameter space and similarity-based weights," Journal of Econometrics, Elsevier, vol. 235(2), pages 1770-1798.
    7. Liu, Tuo & Xu, Xingbai & Lee, Lung-fei, 2022. "Consistency without compactness of the parameter space in spatial econometrics," Economics Letters, Elsevier, vol. 210(C).
    8. Liu, Long, 2015. "A note on 2SLS estimation of the mixed regressive spatial autoregressive model," Economics Letters, Elsevier, vol. 134(C), pages 49-52.
    9. Yang, Kai & Lee, Lung-fei, 2017. "Identification and QML estimation of multivariate and simultaneous equations spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 196(1), pages 196-214.
    10. Dou, Baojun & Parrella, Maria Lucia & Yao, Qiwei, 2016. "Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients," Journal of Econometrics, Elsevier, vol. 194(2), pages 369-382.
    11. Dou, Baojun & Parrella, Maria Lucia & Yao, Qiwei, 2016. "Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients," LSE Research Online Documents on Economics 67151, London School of Economics and Political Science, LSE Library.

  41. Wang, Wei & Lee, Lung-fei, 2013. "Estimation of spatial panel data models with randomly missing data in the dependent variable," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 521-538.

    Cited by:

    1. Senzele, Joseph & AMAYENE, Chimène, 2022. "Impact of climate change on household agricultural incomes in niger: spatial econometric analysis," MPRA Paper 118073, University Library of Munich, Germany, revised 17 Jul 2023.
    2. Roland Füss & Daniel Ruf, 2018. "Office Market Interconnectedness and Systemic Risk Exposure," Working Papers on Finance 1830, University of St. Gallen, School of Finance.
    3. Skevas, Ioannis & Skevas, Theodoros, 2021. "A generalized true random-effects model with spatially autocorrelated persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1131-1142.
    4. Firgo, Matthias & Pennerstorfer, Dieter & Weiss, Christoph R., 2015. "Centrality and pricing in spatially differentiated markets: The case of gasoline," International Journal of Industrial Organization, Elsevier, vol. 40(C), pages 81-90.
    5. Herculano, Miguel C., 2018. "The role of contagion in the transmission of financial stress," ESRB Working Paper Series 81, European Systemic Risk Board.
    6. Chen, Denghui & Kiefer, Hua & Liu, Xiaodong, 2022. "Estimation of discrete choice network models with missing outcome data," Regional Science and Urban Economics, Elsevier, vol. 97(C).
    7. Furukawa, Mitsuaki, 2014. "Aid Fragmentation and Effectiveness for Infant and Child Mortality and Primary School Completion," Working Papers 83, JICA Research Institute.
    8. Arun Advani & Bansi Malde, 2018. "Credibly Identifying Social Effects: Accounting For Network Formation And Measurement Error," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1016-1044, September.
    9. Vander Donckt, Marie & Chan, Philip & Silvestrini, Andrea, 2021. "A new global database on agriculture investment and capital stock," Food Policy, Elsevier, vol. 100(C).
    10. Izaguirre, Alejandro & Di Capua, Laura, 2020. "Exploring peer effects in education in Latin America and the Caribbean," Research in Economics, Elsevier, vol. 74(1), pages 73-86.
    11. Michael D. Koenig & Xiaodong Liu & Yves Zenou, 2014. "R&D Networks: Theory, Empirics and Policy Implications," Discussion Papers 13-027, Stanford Institute for Economic Policy Research.
    12. Ronald B. Davies & Helen T. Naughton, 2003. "Cooperation in Environmental Policy: A Spatial Approach," University of Oregon Economics Department Working Papers 2006-18, University of Oregon Economics Department, revised 10 Jun 2003.
    13. Yun, Seong Do & Gramig, Benjamin M & Delgado, Michael S. & Florax, Raymond J.G.M., 2015. "Does Spatial Correlation Matter in Econometric Models of Crop Yield Response and Weather?," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205465, Agricultural and Applied Economics Association.
    14. Patacchini, Eleonora & Liu, Xiaodong & Rainone, Edoardo, 2013. "The Allocation of Time in Sleep: a Social Network Model with Sampled Data," CEPR Discussion Papers 9752, C.E.P.R. Discussion Papers.
    15. Sadat Reza & Puneet Manchanda & Juin-Kuan Chong, 2021. "Identification and Estimation of Endogenous Peer Effects Using Partial Network Data from Multiple Reference Groups," Management Science, INFORMS, vol. 67(8), pages 5070-5105, August.
    16. Glass, Anthony J. & Kenjegalieva, Karligash & Douch, Mustapha, 2020. "Uncovering spatial productivity centers using asymmetric bidirectional spillovers," European Journal of Operational Research, Elsevier, vol. 285(2), pages 767-788.
    17. Menegaki, Angeliki N., 2013. "Accounting for unobserved management in renewable energy & growth," Energy, Elsevier, vol. 63(C), pages 345-355.
    18. Chongshi Gu & Xiao Fu & Chenfei Shao & Zhongwen Shi & Huaizhi Su, 2020. "Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study," IJERPH, MDPI, vol. 17(1), pages 1-25, January.
    19. Lei, J., 2014. "Essays on nonlinear panel data models," Other publications TiSEM 302d1ae7-0310-43b0-b253-6, Tilburg University, School of Economics and Management.
    20. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
    21. Suesse, Thomas, 2018. "Marginal maximum likelihood estimation of SAR models with missing data," Computational Statistics & Data Analysis, Elsevier, vol. 120(C), pages 98-110.
    22. Füss, Roland & Ruf, Daniel, 2022. "Information precision and return co-movements in private commercial real estate markets," Journal of Banking & Finance, Elsevier, vol. 138(C).
    23. Füss, Roland & Ruf, Daniel, 2021. "Bank systemic risk exposure and office market interconnectedness," Journal of Banking & Finance, Elsevier, vol. 133(C).
    24. Christiern Rose & Lizi Yu, 2021. "Identification of Peer Effects with Miss-specified Peer Groups: Missing Data and Group Uncertainty," Papers 2104.10365, arXiv.org, revised May 2022.
    25. Zhou, Wenyu, 2019. "A network social interaction model with heterogeneous links," Economics Letters, Elsevier, vol. 180(C), pages 50-53.
    26. Luo, Guowang & Wu, Mixia & Xu, Liwen, 2021. "IPW-based robust estimation of the SAR model with missing data," Statistics & Probability Letters, Elsevier, vol. 172(C).
    27. Marcos Sanso-Navarro & María Vera-Cabello & Miguel Puente-Ajovín, 2020. "Regional convergence and spatial dependence: a worldwide perspective," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 65(1), pages 147-177, August.
    28. Ronald B. Davies & Stephan Klasen, 2019. "Darlings and Orphans: Interactions across Donors in International Aid," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(1), pages 243-277, January.

  42. Wei Wang & Lung‐Fei Lee, 2013. "Estimation of spatial autoregressive models with randomly missing data in the dependent variable," Econometrics Journal, Royal Economic Society, vol. 16(1), pages 73-102, February.

    Cited by:

    1. Firgo, Matthias & Pennerstorfer, Dieter & Weiss, Christoph R., 2015. "Centrality and pricing in spatially differentiated markets: The case of gasoline," International Journal of Industrial Organization, Elsevier, vol. 40(C), pages 81-90.
    2. Chen, Denghui & Kiefer, Hua & Liu, Xiaodong, 2022. "Estimation of discrete choice network models with missing outcome data," Regional Science and Urban Economics, Elsevier, vol. 97(C).
    3. Furukawa, Mitsuaki, 2014. "Aid Fragmentation and Effectiveness for Infant and Child Mortality and Primary School Completion," Working Papers 83, JICA Research Institute.
    4. Arun Advani & Bansi Malde, 2018. "Credibly Identifying Social Effects: Accounting For Network Formation And Measurement Error," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1016-1044, September.
    5. Vander Donckt, Marie & Chan, Philip & Silvestrini, Andrea, 2021. "A new global database on agriculture investment and capital stock," Food Policy, Elsevier, vol. 100(C).
    6. Izaguirre, Alejandro & Di Capua, Laura, 2020. "Exploring peer effects in education in Latin America and the Caribbean," Research in Economics, Elsevier, vol. 74(1), pages 73-86.
    7. Ronald B. Davies & Helen T. Naughton, 2003. "Cooperation in Environmental Policy: A Spatial Approach," University of Oregon Economics Department Working Papers 2006-18, University of Oregon Economics Department, revised 10 Jun 2003.
    8. Rabovic, Renata & Cizek, Pavel, 2016. "Estimation of Spatial Sample Selection Models : A Partial Maximum Likelihood Approach," Discussion Paper 2016-013, Tilburg University, Center for Economic Research.
    9. Patacchini, Eleonora & Liu, Xiaodong & Rainone, Edoardo, 2013. "The Allocation of Time in Sleep: a Social Network Model with Sampled Data," CEPR Discussion Papers 9752, C.E.P.R. Discussion Papers.
    10. Sadat Reza & Puneet Manchanda & Juin-Kuan Chong, 2021. "Identification and Estimation of Endogenous Peer Effects Using Partial Network Data from Multiple Reference Groups," Management Science, INFORMS, vol. 67(8), pages 5070-5105, August.
    11. Menegaki, Angeliki N., 2013. "Accounting for unobserved management in renewable energy & growth," Energy, Elsevier, vol. 63(C), pages 345-355.
    12. Anjana Wijayawardhana & David Gunawan & Thomas Suesse, 2024. "A Marginal Maximum Likelihood Approach for Hierarchical Simultaneous Autoregressive Models with Missing Data," Mathematics, MDPI, vol. 12(23), pages 1-16, December.
    13. Chongshi Gu & Xiao Fu & Chenfei Shao & Zhongwen Shi & Huaizhi Su, 2020. "Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study," IJERPH, MDPI, vol. 17(1), pages 1-25, January.
    14. Lei, J., 2014. "Essays on nonlinear panel data models," Other publications TiSEM 302d1ae7-0310-43b0-b253-6, Tilburg University, School of Economics and Management.
    15. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
    16. Suesse, Thomas, 2018. "Marginal maximum likelihood estimation of SAR models with missing data," Computational Statistics & Data Analysis, Elsevier, vol. 120(C), pages 98-110.
    17. Füss, Roland & Ruf, Daniel, 2022. "Information precision and return co-movements in private commercial real estate markets," Journal of Banking & Finance, Elsevier, vol. 138(C).
    18. Christiern Rose & Lizi Yu, 2021. "Identification of Peer Effects with Miss-specified Peer Groups: Missing Data and Group Uncertainty," Papers 2104.10365, arXiv.org, revised May 2022.
    19. Zhou, Wenyu, 2019. "A network social interaction model with heterogeneous links," Economics Letters, Elsevier, vol. 180(C), pages 50-53.
    20. Luo, Guowang & Wu, Mixia & Xu, Liwen, 2021. "IPW-based robust estimation of the SAR model with missing data," Statistics & Probability Letters, Elsevier, vol. 172(C).
    21. Marcos Sanso-Navarro & María Vera-Cabello & Miguel Puente-Ajovín, 2020. "Regional convergence and spatial dependence: a worldwide perspective," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 65(1), pages 147-177, August.
    22. Wang, Wei & Lee, Lung-fei, 2013. "Estimation of spatial panel data models with randomly missing data in the dependent variable," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 521-538.
    23. Ronald B. Davies & Stephan Klasen, 2019. "Darlings and Orphans: Interactions across Donors in International Aid," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(1), pages 243-277, January.

  43. Han, Xiaoyi & Lee, Lung-fei, 2013. "Bayesian estimation and model selection for spatial Durbin error model with finite distributed lags," Regional Science and Urban Economics, Elsevier, vol. 43(5), pages 816-837.

    Cited by:

    1. Anoop Chaturvedi & Shalabh & Sandeep Mishra, 2021. "Generalized Bayes Estimator for Spatial Durbin Model," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 267-285, December.
    2. Jesus Crespo Cuaresma & Philipp Piribauer, 2015. "Bayesian Variable Selection in Spatial Autoregressive Models," Department of Economics Working Papers wuwp199, Vienna University of Economics and Business, Department of Economics.
    3. James P. LESAGE, 2014. "Software For Bayesian Spatial Model Comparison," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 40, pages 11-24.
    4. Dino Dittrich & Roger Th. A. J. Leenders & Joris Mulder, 2019. "Network Autocorrelation Modeling: A Bayes Factor Approach for Testing (Multiple) Precise and Interval Hypotheses," Sociological Methods & Research, , vol. 48(3), pages 642-676, August.
    5. James LeSage, 2015. "Software for Bayesian cross section and panel spatial model comparison," Journal of Geographical Systems, Springer, vol. 17(4), pages 297-310, October.
    6. Mingyuan Guo & Shaoli Chen & Yu Zhang, 2022. "Spatial Analysis on the Role of Multi-Dimensional Urbanizations in Carbon Emissions: Evidence from China," IJERPH, MDPI, vol. 19(9), pages 1-23, April.
    7. Manfred M. Fischer & Philipp Piribauer, 2013. "Model uncertainty in matrix exponential spatial growth regression models," Department of Economics Working Papers wuwp158, Vienna University of Economics and Business, Department of Economics.
    8. Hajime Seya & Kay W. Axhausen & Makoto Chikaraishi, 2020. "Spatial unconditional quantile regression: application to Japanese parking price data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 65(2), pages 351-402, October.
    9. Jiao, Xiaoying & Chen, Jason Li & Li, Gang, 2021. "Forecasting tourism demand: Developing a general nesting spatiotemporal model," Annals of Tourism Research, Elsevier, vol. 90(C).
    10. Doğan, Osman, 2023. "Modified harmonic mean method for spatial autoregressive models," Economics Letters, Elsevier, vol. 223(C).
    11. Li, Jianan & Han, Xiaoyi, 2019. "Bayesian Lassos for spatial durbin error model with smoothness prior: Application to detect spillovers of China's treaty ports," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 38-74.
    12. Zhang, Xinyu & Yu, Jihai, 2018. "Spatial weights matrix selection and model averaging for spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 203(1), pages 1-18.
    13. James P. LeSage, 2014. "What Regional Scientists Need to Know about Spatial Econometrics," The Review of Regional Studies, Southern Regional Science Association, vol. 44(1), pages 13-32, Spring.
    14. Agovino, Massimiliano & Aprile, Maria Carmela & Garofalo, Antonio & Mariani, Angela, 2018. "Cancer mortality rates and spillover effects among different areas: A case study in Campania (southern Italy)," Social Science & Medicine, Elsevier, vol. 204(C), pages 67-83.
    15. Kunming Li & Liting Fang & Tao Lu, 2019. "Bayesian panel smooth transition model with spatial correlation," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-12, March.

  44. Lung-fei Lee & Jihai Yu, 2012. "The C(α)-type gradient test for spatial dependence in spatial autoregressive models," Letters in Spatial and Resource Sciences, Springer, vol. 5(3), pages 119-135, October.

    Cited by:

    1. Robinson, Peter M. & Rossi, Francesca, 2015. "Refined Tests For Spatial Correlation," Econometric Theory, Cambridge University Press, vol. 31(6), pages 1249-1280, December.
    2. Taşpınar, Süleyman & Doğan, Osman & Bera, Anil K., 2017. "GMM gradient tests for spatial dynamic panel data models," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 65-88.
    3. Jin, Fei & Lee, Lung-fei, 2018. "Outer-product-of-gradients tests for spatial autoregressive models," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 35-57.
    4. Rossi, Francesca & Robinson, Peter M., 2023. "Higher-order least squares inference for spatial autoregressions," Journal of Econometrics, Elsevier, vol. 232(1), pages 244-269.
    5. Jungyoon Lee & Peter C.B. Phillips & Francesca Rossi, 2020. "Consistent Misspecification Testing in Spatial Autoregressive Models," Cowles Foundation Discussion Papers 2256, Cowles Foundation for Research in Economics, Yale University.
    6. Francesca Rossi & Peter M. Robinson, 2020. "Higher-Order Least Squares Inference for Spatial Autoregressions," Working Papers 04/2020, University of Verona, Department of Economics.

  45. Jihai Yu & Lung-Fei Lee, 2012. "Convergence: A Spatial Dynamic Panel Data Approach," Global Journal of Economics (GJE), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 1-36.

    Cited by:

    1. Hidalgo, Javier & Schafgans, Marcia, 2017. "Inference and testing breaks in large dynamic panels with strong cross sectional dependence," Journal of Econometrics, Elsevier, vol. 196(2), pages 259-274.
    2. Zhao, Xueting & Burnett, J. Wesley & Lacombe, Donald J., 2014. "Province-level Convergence of China CO2 Emission Intensity," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169403, Agricultural and Applied Economics Association.
    3. Taşpınar, Süleyman & Doğan, Osman & Bera, Anil K., 2017. "GMM gradient tests for spatial dynamic panel data models," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 65-88.
    4. Ho, Chun-Yu & Wang, Wei & Yu, Jihai, 2013. "Growth spillover through trade: A spatial dynamic panel data approach," Economics Letters, Elsevier, vol. 120(3), pages 450-453.
    5. Song, Yang & Liu, Dayu & Wang, Qiaoru, 2021. "Identifying characteristic changes in club convergence of China's urban pollution emission: A spatial-temporal feature analysis," Energy Economics, Elsevier, vol. 98(C).
    6. Vicente German-Soto & Gregory Brock, 2022. "Overall US and Census Region β-Convergence 1963–2015 Controlling for Spatial Effects," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 64(1), pages 44-67, March.
    7. Gao, Kang & Yuan, Yijun, 2022. "Government intervention, spillover effect and urban innovation performance: Empirical evidence from national innovative city pilot policy in China," Technology in Society, Elsevier, vol. 70(C).
    8. Yan Zhu & Hongfeng Zhang & Xu He, 2023. "Impact of New and Old Driving Force Conversion on Air Quality: Empirical Analysis Based on RDD," Sustainability, MDPI, vol. 15(4), pages 1-12, February.
    9. Zhao, Xueting & Wesley Burnett, J. & Lacombe, Donald J., 2015. "Province-level convergence of China’s carbon dioxide emissions," Applied Energy, Elsevier, vol. 150(C), pages 286-295.
    10. Kubis, Alexander & Schneider, Lutz, 2012. "Human Capital Mobility and Convergence – A Spatial Dynamic Panel Model of the German Regions," IWH Discussion Papers 9/2012, Halle Institute for Economic Research (IWH).
    11. Muhammad Hidayat & Nasri Bachtiar & Sjafrizal Sjafrizal & Elvina Primayesa, 2023. "The Influence of Investment, Energy Infrastructure, and Human Capital Towards Convergence of Regional Disparities in Sumatra Island, Indonesia; Using Oil and Gas Data and Without Oil and Gas," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 139-149, July.
    12. Miranda, Karen & Martínez Ibáñez, Oscar & Manjón Antolín, Miguel C., 2018. "A correlated random effects spatial Durbin model," Working Papers 2072/313840, Universitat Rovira i Virgili, Department of Economics.
    13. Meng Sun & Yue Zhang & Yaqi Hu & Jiayi Zhang, 2022. "Spatial Convergence of Carbon Productivity: Theoretical Analysis and Chinese Experience," IJERPH, MDPI, vol. 19(8), pages 1-19, April.
    14. Tao, Ji & Yu, Jihai, 2012. "The spatial time lag in panel data models," Economics Letters, Elsevier, vol. 117(3), pages 544-547.
    15. Muhammad Hidayat & Nasri Bachtiar & Sjafrizal Sjafrizal & Elvina Primayesa, 2022. "Does Investment and Energy Infrastructure Influence Convergence in Sumatra Island, Indonesia?," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 274-281, July.
    16. Miranda, Karen & Manjón Antolín, Miguel C. & Martínez Ibáñez, Oscar, 2018. "Growth, heterogeneous technological interdependence,and spatial externalities: Theory and Evidence," Working Papers 2072/307363, Universitat Rovira i Virgili, Department of Economics.
    17. Cristian Incaltarau & Gabriela Carmen Pascariu & Adelaide Duarte & Peter Nijkamp, 2021. "Migration, regional growth and convergence: a spatial econometric study on Romania," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(3), pages 497-532, June.
    18. Manfred M. Fischer & James P. LeSage, 2013. "A Bayesian space-time approach to identifying and interpreting regional convergence clubs in Europe," ERSA conference papers ersa13p39, European Regional Science Association.
    19. Shi, Kehan & Wang, Jinfang, 2024. "The influence and spatial effects of high-speed railway construction on urban industrial upgrading: Based on an industrial transfer perspective," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    20. Li, Hengyun & Chen, Jason Li & Li, Gang & Goh, Carey, 2016. "Tourism and regional income inequality: Evidence from China," Annals of Tourism Research, Elsevier, vol. 58(C), pages 81-99.
    21. Ji Uk Kim, 2020. "Technology diffusion, absorptive capacity, and income convergence for Asian developing countries: a dynamic spatial panel approach," Empirical Economics, Springer, vol. 59(2), pages 569-598, August.
    22. Rios, Vicente & Gianmoena, Lisa, 2018. "Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions," Energy Economics, Elsevier, vol. 75(C), pages 222-238.
    23. Kripfganz, Sebastian, 2014. "Unconditional Transformed Likelihood Estimation of Time-Space Dynamic Panel Data Models," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100604, Verein für Socialpolitik / German Economic Association.
    24. Mihai Antonia & Zizi Goschin & Irina-Denisa Munteanu & Mihail-Dumitru Sacală, 2023. "The Effects of Schooling Level on Economic Convergence in Emerging Countries: Evidence from Romania," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(1), pages 125-142, September.
    25. Olabode Philip Olofin & Oluwole Oladipo Aiyegbusi & Abayomi Ayinla Adebayo, 2019. "Analysis of Foreign Direct Investment and Economic Growth in Nigeria: Application of Spatial Econometrics and Fully Modified Ordinary Least Square (FMOLS)," Foreign Trade Review, , vol. 54(3), pages 159-176, August.
    26. Hidalgo, Javier & Schafgans, Marcia, 2017. "Inference and testing breaks in large dynamic panels with strong cross sectional dependence," LSE Research Online Documents on Economics 68839, London School of Economics and Political Science, LSE Library.
    27. Manjón Antolín, M. & Martinez Ibañez, Oscar, 2019. "Growth with heterogenous interdependence," DES - Working Papers. Statistics and Econometrics. WS 29023, Universidad Carlos III de Madrid. Departamento de Estadística.
    28. Wenhao Qi & Changxing Song & Meng Sun & Liguo Wang & Youcheng Han, 2022. "Sustainable Growth Drivers: Unveiling the Role Played by Carbon Productivity," IJERPH, MDPI, vol. 19(3), pages 1-25, January.

  46. Jin, Fei & Lee, Lung-fei, 2012. "Approximated likelihood and root estimators for spatial interaction in spatial autoregressive models," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 446-458.

    Cited by:

    1. Shew Fan Liu & Zhenlin Yang, 2015. "Asymptotic Distribution and Finite Sample Bias Correction of QML Estimators for Spatial Error Dependence Model," Econometrics, MDPI, vol. 3(2), pages 1-36, May.
    2. Jin, Fei & Lee, Lung-fei, 2020. "Asymptotically efficient root estimators for spatial autoregressive models with spatial autoregressive disturbances," Economics Letters, Elsevier, vol. 194(C).
    3. Shew Fan Liu & Zhenlin Yang, 2014. "Modified QML Estimation of Spatial Autoregressive Models with Unknown Heteroskedasticity and Nonnormality," Working Papers 14-2014, Singapore Management University, School of Economics.
    4. Jin, Fei & Lee, Lung-fei, 2019. "GEL estimation and tests of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 208(2), pages 585-612.
    5. Ying Han & Baoling Jin & Xiaoyuan Qi & Huasen Zhou, 2021. "Influential Factors and Spatiotemporal Characteristics of Carbon Intensity on Industrial Sectors in China," IJERPH, MDPI, vol. 18(6), pages 1-18, March.
    6. Liu, Xiaodong, 2017. "Identification of peer effects via a root estimator," Economics Letters, Elsevier, vol. 156(C), pages 168-171.

  47. Xiaodong Liu & John H. Kagel & Lung‐Fei Lee, 2012. "Learning from peers in signaling game experiments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(7), pages 1037-1058, November.

    Cited by:

    1. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2016. "Empirical Models of Learning Dynamics: A Survey of Recent Developments," Economics Papers 2016-W12, Economics Group, Nuffield College, University of Oxford.
    2. Michał Kot, 2022. "An agent-based model of consumer choice. An evaluation of the strategy of pricing and advertising," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 32(1), pages 73-95.

  48. Qu, Xi & Lee, Lung-fei, 2012. "LM tests for spatial correlation in spatial models with limited dependent variables," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 430-445.

    Cited by:

    1. Claudine Desrieux & Romain Espinosa & Michael Visser, 2022. "Simultaneous Decision Making of Juries: Evidence From the Paris Labor Court," CIRED Working Papers hal-04104190, HAL.
    2. Xu, Xingbai & Lee, Lung-fei, 2018. "Sieve maximum likelihood estimation of the spatial autoregressive Tobit model," Journal of Econometrics, Elsevier, vol. 203(1), pages 96-112.
    3. Xu, Xingbai & Lee, Lung-fei, 2015. "Maximum likelihood estimation of a spatial autoregressive Tobit model," Journal of Econometrics, Elsevier, vol. 188(1), pages 264-280.
    4. Yong Bao & Gucheng Li & Xiaotian Liu, 2024. "A Spatial Sample Selection Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(4), pages 928-950, August.
    5. Rabovic, Renata & Cizek, Pavel, 2016. "Estimation of Spatial Sample Selection Models : A Partial Maximum Likelihood Approach," Discussion Paper 2016-013, Tilburg University, Center for Economic Research.
    6. Tauisi Taupo & Harold Cuffe & Ilan Noy, 2018. "Household vulnerability on the frontline of climate change: the Pacific atoll nation of Tuvalu," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(4), pages 705-739, October.
    7. Qu, Xi & Lee, Lung-fei, 2015. "Estimating a spatial autoregressive model with an endogenous spatial weight matrix," Journal of Econometrics, Elsevier, vol. 184(2), pages 209-232.
    8. Jin, Fei & Lee, Lung-fei, 2019. "GEL estimation and tests of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 208(2), pages 585-612.
    9. Jeong, Hanbat & Lee, Lung-fei, 2024. "Maximum likelihood estimation of a spatial autoregressive model for origin–destination flow variables," Journal of Econometrics, Elsevier, vol. 242(1).
    10. Lei, J., 2014. "Essays on nonlinear panel data models," Other publications TiSEM 302d1ae7-0310-43b0-b253-6, Tilburg University, School of Economics and Management.
    11. Ying Han & Baoling Jin & Xiaoyuan Qi & Huasen Zhou, 2021. "Influential Factors and Spatiotemporal Characteristics of Carbon Intensity on Industrial Sectors in China," IJERPH, MDPI, vol. 18(6), pages 1-18, March.
    12. Qu, Xi & Lee, Lung-fei, 2013. "Locally most powerful tests for spatial interactions in the simultaneous SAR Tobit model," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 307-321.
    13. T. Arduini, 2016. "Distribution Free Estimation of Spatial Autoregressive Binary Choice Panel Data Models," Working Papers wp1052, Dipartimento Scienze Economiche, Universita' di Bologna.
    14. Anna Gloria Billé & Samantha Leorato, 2017. "Quasi-ML estimation, Marginal Effects and Asymptotics for Spatial Autoregressive Nonlinear Models," BEMPS - Bozen Economics & Management Paper Series BEMPS44, Faculty of Economics and Management at the Free University of Bozen.
    15. Ye, Xiaoqing & Xu, Juan & Wu, Xiangjun, 2018. "Estimation of an unbalanced panel data Tobit model with interactive effects," Journal of choice modelling, Elsevier, vol. 28(C), pages 108-123.
    16. Heijnen, P. & Samarina, A.. & Jacobs, J.P.A.M. & Elhorst, J.P., 2013. "State transfers at different moments in time," Research Report 13006-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    17. Ming He & Kuan-Pin Lin, 2015. "Testing in a Random Effects Panel Data Model with Spatially Correlated Error Components and Spatially Lagged Dependent Variables," Econometrics, MDPI, vol. 3(4), pages 1-36, November.
    18. Yang, Kai & Lee, Lung-fei, 2017. "Identification and QML estimation of multivariate and simultaneous equations spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 196(1), pages 196-214.
    19. He, Ming & Lin, Kuan-Pin, 2013. "Locally adjusted LM test for spatial dependence in fixed effects panel data models," Economics Letters, Elsevier, vol. 121(1), pages 59-63.
    20. He, Ming & Lin, Kuan-Pin, 2015. "Testing spatial effects and random effects in a nested panel data model," Economics Letters, Elsevier, vol. 135(C), pages 85-91.
    21. Guo, Juncong & Qu, Xi, 2022. "Competition in household human capital investments: Strength, motivations and consequences," Journal of Development Economics, Elsevier, vol. 158(C).

  49. Lung-fei Lee & Jihai Yu, 2012. "QML Estimation of Spatial Dynamic Panel Data Models with Time Varying Spatial Weights Matrices," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(1), pages 31-74, March.

    Cited by:

    1. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2019. "Estimation and inference for spatial models with heterogeneous coefficients: an application to U.S. house prices," CESifo Working Paper Series 7542, CESifo.
    2. Jieun Lee, 2022. "Testing Endogeneity of Spatial Weights Matrices in Spatial Dynamic Panel Data Models," Papers 2209.05563, arXiv.org.
    3. Ana Angulo & Peter Burridge & Jesus Mur, 2017. "Testing for a structural break in the weight matrix of the spatial error or spatial lag model," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(2-3), pages 161-181, July.
    4. Júlia Gallego Ziero Uhr & André Luis Squarize Chagas, Daniel de Abreu Pereira Uhr, Renan Porn Peres, 2017. "A study on environmental infractions for Brazilian municipalities: a spatial dynamic panel approach," Working Papers, Department of Economics 2017_13, University of São Paulo (FEA-USP).
    5. Gao, Zhaoxing & Ma, Yingying & Wang, Hansheng & Yao, Qiwei, 2019. "Banded spatio-temporal autoregressions," Journal of Econometrics, Elsevier, vol. 208(1), pages 211-230.
    6. Clément Gorin, 2017. "Accessibility, absorptive capacity and innovation in European urban areas," Working Papers 1722, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    7. Hanen Ragoubi & Zouheir Mighri, 2021. "Spillover effects of trade openness on CO2 emissions in middle‐income countries: A spatial panel data approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 835-877, June.
    8. Marcos Herrera & Jesus Mur & Manuel Ruiz-Marin, 2017. "A Comparison Study on Criteria to Select the Most Adequate Weighting Matrix," Working Papers 18, Instituto de Estudios Laborales y del Desarrollo Económico (IELDE) - Universidad Nacional de Salta - Facultad de Ciencias Económicas, Jurídicas y Sociales.
    9. Edoardo Baldoni & Roberto Esposti, 2021. "Agricultural Productivity in Space: an Econometric Assessment Based on Farm‐Level Data," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1525-1544, August.
    10. Taşpınar, Süleyman & Doğan, Osman & Bera, Anil K., 2017. "GMM gradient tests for spatial dynamic panel data models," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 65-88.
    11. Manfred M. Fischer & James P. LeSage, 2020. "Network dependence in multi-indexed data on international trade flows," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-26, December.
    12. Ho, Chun-Yu & Wang, Wei & Yu, Jihai, 2013. "Growth spillover through trade: A spatial dynamic panel data approach," Economics Letters, Elsevier, vol. 120(3), pages 450-453.
    13. Nicolas Debarsy & James Lesage, 2018. "Flexible dependence modeling using convex combinations of different types of connectivity structures," Post-Print halshs-03319303, HAL.
    14. Lee, Jiyon, 2018. "A spatial latent class model," Economics Letters, Elsevier, vol. 162(C), pages 62-68.
    15. Giuseppe Arbia & Anil K. Bera & Osman Doğan & Süleyman Taşpınar, 2020. "Testing Impact Measures in Spatial Autoregressive Models," International Regional Science Review, , vol. 43(1-2), pages 40-75, January.
    16. Haiyong Zhang & Xinyu Wang, 2017. "Combined asymmetric spatial weights matrix with application to housing prices," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(13), pages 2337-2353, October.
    17. Niu, Honglei & Lekse, William, 2018. "Carbon emission effect of urbanization at regional level: Empirical evidence from China," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-31.
    18. Dapeng Zhang, 2024. "Examining the Effects of Confirmed COVID-19 Cases and State Government Policies on Passenger Air Traffic Recovery by Proposing an OD Spatial Temporal Model," Networks and Spatial Economics, Springer, vol. 24(2), pages 341-359, June.
    19. Shi, Wei & Lee, Lung-fei, 2018. "A spatial panel data model with time varying endogenous weights matrices and common factors," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 6-34.
    20. Taspinar, Suleyman & Dogan, Osman & Bera, Anil K., 2017. "GMM Gradient Tests for Spatial Dynamic Panel Data Models," MPRA Paper 82830, University Library of Munich, Germany.
    21. Burridge, Peter & Iacone, Fabrizio & Lazarová, Štěpána, 2015. "Spatial effects in a common trend model of US city-level CPI," Regional Science and Urban Economics, Elsevier, vol. 54(C), pages 87-98.
    22. Zhu, Chen & Xia, Yuqing & Liu, Qing & Hou, Bojun, 2023. "Deregulation and green innovation: Does cultural reform pilot project matter," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 84-105.
    23. LeSage, James P. & Chih, Yao-Yu & Vance, Colin, 2019. "Markov Chain Monte Carlo estimation of spatial dynamic panel models for large samples," Computational Statistics & Data Analysis, Elsevier, vol. 138(C), pages 107-125.
    24. Quintaba Pablo Aníbal & Herrera Gómez Marcos, 2023. "Spatial Weighting Matrix Estimation through Statistical Learning: Analyzing Argentinean Salary Dynamics under Structural Breaks," Asociación Argentina de Economía Política: Working Papers 4688, Asociación Argentina de Economía Política.
    25. Zhu, Chen & Lee, Chien-Chiang, 2022. "The effects of low-carbon pilot policy on technological innovation: Evidence from prefecture-level data in China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    26. Qu, Xi & Lee, Lung-fei & Yu, Jihai, 2017. "QML estimation of spatial dynamic panel data models with endogenous time varying spatial weights matrices," Journal of Econometrics, Elsevier, vol. 197(2), pages 173-201.
    27. Sun, Yiguo & Malikov, Emir, 2017. "Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models with Fixed Effects," MPRA Paper 83671, University Library of Munich, Germany.
    28. Wang, Wei & Yu, Jihai, 2015. "Estimation of spatial panel data models with time varying spatial weights matrices," Economics Letters, Elsevier, vol. 128(C), pages 95-99.
    29. Philipp Otto & Wolfgang Schmid, 2018. "Spatiotemporal analysis of German real-estate prices," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 41-72, January.
    30. Barrenho, E.; & Miraldo, M.; & Propper, C; & Rose, C.;, 2019. "Peer and network effects in medical innovation: the case of laparoscopic surgery in the English NHS," Health, Econometrics and Data Group (HEDG) Working Papers 19/10, HEDG, c/o Department of Economics, University of York.
    31. Massimiliano Cerciello, 2021. "Spatial patterns in food waste at the local level. A preliminary analysis for Italian data," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 83-101, February.
    32. Eliana Barrenho & Eric Gautier & Marisa Miraldo & Carol Propper & Christiern Rose, 2020. "Innovation Diffusion and Physician Networks: Keyhole Surgery for Cancer in the English NHS," Discussion Papers Series 638, School of Economics, University of Queensland, Australia.
    33. Han, Jaepil & Ryu, Deockhyun & Sickles, Robin, 2015. "How to Measure Spillover Effects of Public Capital Stock: A Spatial Autoregressive Stochastic Frontier Model," Working Papers 15-015, Rice University, Department of Economics.
    34. Billio, Monica & Caporin, Massimiliano & Frattarolo, Lorenzo & Pelizzon, Loriana, 2018. "Networks in risk spillovers: A multivariate GARCH perspective," SAFE Working Paper Series 225, Leibniz Institute for Financial Research SAFE.
    35. Gong, Pu & Weng, Yingliang, 2016. "Value-at-Risk forecasts by a spatiotemporal model in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 173-191.
    36. Jeong, Hanbat & Lee, Lung-fei, 2020. "Spatial dynamic models with intertemporal optimization: Specification and estimation," Journal of Econometrics, Elsevier, vol. 218(1), pages 82-104.
    37. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
    38. Zhou, Yiwei & Wang, Xiaokun & Holguín-Veras, José, 2016. "Discrete choice with spatial correlation: A spatial autoregressive binary probit model with endogenous weight matrix (SARBP-EWM)," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 440-455.
    39. Luo, Guowang & Wu, Mixia & Pang, Zhen, 2022. "Estimation of spatial autoregressive models with covariate measurement errors," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
    40. Michele Costola & Matteo Iacopini & Casper Wichers, 2023. "Bayesian SAR model with stochastic volatility and multiple time-varying weights," Papers 2310.17473, arXiv.org.
    41. Ana Angulo & Peter Burridge & Jes�s Mur, 2017. "Testing for breaks in the weighting matrix," Documentos de Trabajo dt2017-01, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    42. Herrera Gómez, Marcos, 2017. "Fundamentos de Econometría Espacial Aplicada [Fundamentals of Applied Spatial Econometrics]," MPRA Paper 80871, University Library of Munich, Germany.
    43. Anna Gloria Billé & Leopoldo Catania, 2018. "Dynamic Spatial Autoregressive Models with Time-varying Spatial Weighting Matrices," BEMPS - Bozen Economics & Management Paper Series BEMPS55, Faculty of Economics and Management at the Free University of Bozen.
    44. Sahar Amidi & Ali Fagheh Majidi & Bakhtiar Javaheri, 2020. "Growth spillover: a spatial dynamic panel data and spatial cross section data approaches in selected Asian countries," Future Business Journal, Springer, vol. 6(1), pages 1-14, December.
    45. Hou, Li & Jin, Baisuo & Wu, Yuehua, 2024. "Estimation and variable selection for high-dimensional spatial dynamic panel data models," Journal of Econometrics, Elsevier, vol. 238(2).
    46. Guo, Juncong & Qu, Xi, 2020. "Fixed effects spatial panel data models with time-varying spatial dependence," Economics Letters, Elsevier, vol. 196(C).
    47. Jin, Fei & Lee, Lung-fei & Yu, Jihai, 2020. "First difference estimation of spatial dynamic panel data models with fixed effects," Economics Letters, Elsevier, vol. 189(C).
    48. Vicente Rios & Lisa Gianmoena, 2021. "On the link between temperature and regional COVID‐19 severity: Evidence from Italy," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 109-137, November.
    49. Triki, Mohamed Bilel, 2019. "The Italian wage curve revisited: A local and spatial cointegration," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 73-90.
    50. Xiaoyi Han & Lung-Fei Lee, 2016. "Bayesian Analysis of Spatial Panel Autoregressive Models With Time-Varying Endogenous Spatial Weight Matrices, Common Factors, and Random Coefficients," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 642-660, October.
    51. Ou Bianling & Zhao Xin & Wang Mingxi, 2015. "Power of Moran’s I Test for Spatial Dependence in Panel Data Models with Time Varying Spatial Weights Matrices," Journal of Systems Science and Information, De Gruyter, vol. 3(5), pages 463-471, October.
    52. Badi H. Baltagi & Junjie Shu, 2024. "A Survey of Spatial Unit Roots," Mathematics, MDPI, vol. 12(7), pages 1-32, March.
    53. Dou, Baojun & Parrella, Maria Lucia & Yao, Qiwei, 2016. "Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients," Journal of Econometrics, Elsevier, vol. 194(2), pages 369-382.
    54. The Nguyen Huynh, 2022. "Dynamic spatial effects of determinants of foreign direct investment: A case of the southern key economic region of Vietnam," Australian Economic Papers, Wiley Blackwell, vol. 61(3), pages 436-454, September.
    55. J. Paul Elhorst & Ioanna Tziolas & Chang Tan & Petros Milionis, 2024. "The distance decay effect and spatial reach of spillovers," Journal of Geographical Systems, Springer, vol. 26(2), pages 265-289, April.
    56. Song, Ge & Ren, Gaofeng, 2022. "Spatial response of cultivated land use efficiency to the maize structural adjustment policy in the "Sickle Bend" region of China: An empirical study from the cold area of northeast," Land Use Policy, Elsevier, vol. 123(C).
    57. Han, Xiaoyi & Hsieh, Chih-Sheng & Lee, Lung-fei, 2017. "Estimation and model selection of higher-order spatial autoregressive model: An efficient Bayesian approach," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 97-120.
    58. Wang, Jinsong & Gao, Dongdong & Shi, Wei & Du, Jiayan & Huang, Zhuo & Liu, Buyuan, 2023. "Spatio-temporal changes in ecosystem service value: Evidence from the economic development of urbanised regions," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    59. Dou, Baojun & Parrella, Maria Lucia & Yao, Qiwei, 2016. "Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients," LSE Research Online Documents on Economics 67151, London School of Economics and Political Science, LSE Library.
    60. Wang, Wei & Lee, Lung-fei, 2013. "Estimation of spatial panel data models with randomly missing data in the dependent variable," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 521-538.
    61. Su, Liangjun & Wang, Wuyi & Xu, Xingbai, 2023. "Identifying latent group structures in spatial dynamic panels," Journal of Econometrics, Elsevier, vol. 235(2), pages 1955-1980.

  50. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2012. "Estimation for spatial dynamic panel data with fixed effects: The case of spatial cointegration," Journal of Econometrics, Elsevier, vol. 167(1), pages 16-37.

    Cited by:

    1. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2019. "A time-space dynamic panel data model with spatial moving average errors," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 13-31.
    2. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2019. "Estimation and inference for spatial models with heterogeneous coefficients: an application to U.S. house prices," CESifo Working Paper Series 7542, CESifo.
    3. Júlia Gallego Ziero Uhr & André Luis Squarize Chagas, Daniel de Abreu Pereira Uhr, Renan Porn Peres, 2017. "A study on environmental infractions for Brazilian municipalities: a spatial dynamic panel approach," Working Papers, Department of Economics 2017_13, University of São Paulo (FEA-USP).
    4. Nicolas Debarsy & Cyrille Dossougoin & Cem Ertur & Jean-Yves Gnabo, 2018. "Measuring sovereign risk spillovers and assessing the role of transmission channels: A spatial econometrics approach," Post-Print hal-01744629, HAL.
    5. Francesc Amat & Pablo Beramendi & Miriam Hortas-Rico & Vicente Rios, 2020. "How inequality shapes political participation: The role of spatial patterns of political competition," Working Papers. Collection B: Regional and sectoral economics 2002, Universidade de Vigo, GEN - Governance and Economics research Network.
    6. J. Wesley Burnett & Xueting Zhao, 2014. "Forecasting U.S. State-Level Carbon Dioxide Emissions," The Review of Regional Studies, Southern Regional Science Association, vol. 44(3), pages 223-240, Winter.
    7. Gao, Zhaoxing & Ma, Yingying & Wang, Hansheng & Yao, Qiwei, 2019. "Banded spatio-temporal autoregressions," Journal of Econometrics, Elsevier, vol. 208(1), pages 211-230.
    8. Fei Jin & Lung-fei Lee, 2013. "Generalized Spatial Two Stage Least Squares Estimation of Spatial Autoregressive Models with Autoregressive Disturbances in the Presence of Endogenous Regressors and Many Instruments," Econometrics, MDPI, vol. 1(1), pages 1-44, May.
    9. Lung-fei Lee & Jihai Yu, 2012. "QML Estimation of Spatial Dynamic Panel Data Models with Time Varying Spatial Weights Matrices," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(1), pages 31-74, March.
    10. Hanen Ragoubi & Zouheir Mighri, 2021. "Spillover effects of trade openness on CO2 emissions in middle‐income countries: A spatial panel data approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 835-877, June.
    11. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    12. Michael McCullough & Joshua Berning & Jason L. Hanson, 2019. "Learning By Brewing: Homebrewing Legalization And The Brewing Industry," Contemporary Economic Policy, Western Economic Association International, vol. 37(1), pages 25-39, January.
    13. Taşpınar, Süleyman & Doğan, Osman & Bera, Anil K., 2017. "GMM gradient tests for spatial dynamic panel data models," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 65-88.
    14. Niu, Honglei & Lekse, William, 2018. "Carbon emission effect of urbanization at regional level: Empirical evidence from China," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-31.
    15. James Wesley Burnett & Xueting Zhao, 2017. "Spatially Explicit Prediction of Wholesale Electricity Prices," International Regional Science Review, , vol. 40(2), pages 99-140, March.
    16. Naoto Jinji & Xingyuan Zhang, 2015. "International Knowledge Flows and Productivity: Intra- vs. Inter-Industry Spillovers," International Economic Journal, Taylor & Francis Journals, vol. 29(3), pages 451-474, September.
    17. Yongfu Huang & M. G. Quibria, 2013. "Green Growth: Theory and Evidence," WIDER Working Paper Series wp-2013-056, World Institute for Development Economic Research (UNU-WIDER).
    18. Taspinar, Suleyman & Dogan, Osman & Bera, Anil K., 2017. "GMM Gradient Tests for Spatial Dynamic Panel Data Models," MPRA Paper 82830, University Library of Munich, Germany.
    19. Burridge, Peter & Iacone, Fabrizio & Lazarová, Štěpána, 2015. "Spatial effects in a common trend model of US city-level CPI," Regional Science and Urban Economics, Elsevier, vol. 54(C), pages 87-98.
    20. Ma, Yingying & Guo, Shaojun & Wang, Hansheng, 2023. "Sparse spatio-temporal autoregressions by profiling and bagging," Journal of Econometrics, Elsevier, vol. 232(1), pages 132-147.
    21. LeSage, James P. & Chih, Yao-Yu & Vance, Colin, 2019. "Markov Chain Monte Carlo estimation of spatial dynamic panel models for large samples," Computational Statistics & Data Analysis, Elsevier, vol. 138(C), pages 107-125.
    22. Zhu, Chen & Lee, Chien-Chiang, 2022. "The effects of low-carbon pilot policy on technological innovation: Evidence from prefecture-level data in China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    23. Lee, Lung-fei & Yu, Jihai, 2014. "Efficient GMM estimation of spatial dynamic panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 180(2), pages 174-197.
    24. Qu, Xi & Lee, Lung-fei & Yu, Jihai, 2017. "QML estimation of spatial dynamic panel data models with endogenous time varying spatial weights matrices," Journal of Econometrics, Elsevier, vol. 197(2), pages 173-201.
    25. Sun, Yiguo & Malikov, Emir, 2017. "Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models with Fixed Effects," MPRA Paper 83671, University Library of Munich, Germany.
    26. Yang, Zhenlin & Yu, Jihai & Liu, Shew Fan, 2016. "Bias correction and refined inferences for fixed effects spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 52-72.
    27. Mengqi Zhang & Boping Tian, 2023. "Estimation of the Non-Parametric Spatial Dynamic Panel Data Model with Fixed Effects," Mathematics, MDPI, vol. 11(13), pages 1-23, June.
    28. Elhorst, J. Paul & Madre, Jean-Loup & Pirotte, Alain, 2020. "Car traffic, habit persistence, cross-sectional dependence, and spatial heterogeneity: New insights using French departmental data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 614-632.
    29. Yang, Kai & Lee, Lung-fei, 2021. "Estimation of dynamic panel spatial vector autoregression: Stability and spatial multivariate cointegration," Journal of Econometrics, Elsevier, vol. 221(2), pages 337-367.
    30. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
    31. Luo, Guowang & Wu, Mixia & Pang, Zhen, 2022. "Estimation of spatial autoregressive models with covariate measurement errors," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
    32. Reuvers, Hanno & Wijler, Etienne, 2024. "Sparse generalized Yule–Walker estimation for large spatio-temporal autoregressions with an application to NO2 satellite data," Journal of Econometrics, Elsevier, vol. 239(1).
    33. Xianghong Zhou & Weiwei Chen, 2021. "The Impact of Informatization on the Relationship between the Tourism Industry and Regional Economic Development," Sustainability, MDPI, vol. 13(16), pages 1-23, August.
    34. Herrera Gómez, Marcos, 2017. "Fundamentos de Econometría Espacial Aplicada [Fundamentals of Applied Spatial Econometrics]," MPRA Paper 80871, University Library of Munich, Germany.
    35. Federica Cappelli & Caterina Conigliani & Valeria Costantini & Keti Lelo & Anil Markandya & Elena Paglialunga & Giorgia Sforna, 2020. "Do spatial interactions fuel the climate-conflict vicious cycle? The case of the African continent," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-52, December.
    36. Sahar Amidi & Ali Fagheh Majidi & Bakhtiar Javaheri, 2020. "Growth spillover: a spatial dynamic panel data and spatial cross section data approaches in selected Asian countries," Future Business Journal, Springer, vol. 6(1), pages 1-14, December.
    37. Mengqi Zhang & Boping Tian, 2023. "Profile Maximum Likelihood Estimation of Single-Index Spatial Dynamic Panel Data Model," Mathematics, MDPI, vol. 11(13), pages 1-16, July.
    38. Rios, Vicente & Gianmoena, Lisa, 2018. "Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions," Energy Economics, Elsevier, vol. 75(C), pages 222-238.
    39. Lung‐fei Lee & Jihai Yu, 2012. "Spatial Panels: Random Components Versus Fixed Effects," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(4), pages 1369-1412, November.
    40. Xueting Zhao & J. Burnett, 2014. "Forecasting province-level $${\text {CO}}_{2}$$ CO 2 emissions in China," Letters in Spatial and Resource Sciences, Springer, vol. 7(3), pages 171-183, October.
    41. Ciccarelli, Carlo & Elhorst, J.Paul, 2018. "A dynamic spatial econometric diffusion model with common factors: The rise and spread of cigarette consumption in Italy," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 131-142.
    42. Anna Gloria Billé & Marco Rogna, 2022. "The effect of weather conditions on fertilizer applications: A spatial dynamic panel data analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 3-36, January.
    43. Jin, Fei & Lee, Lung-fei & Yu, Jihai, 2020. "First difference estimation of spatial dynamic panel data models with fixed effects," Economics Letters, Elsevier, vol. 189(C).
    44. Salvatore Costantino & Maria Francesca Cracolici & J. Paul Elhorst, 2023. "A spatial origin‐destination approach for the analysis of local tourism demand in Italy," Papers in Regional Science, Wiley Blackwell, vol. 102(2), pages 393-419, April.
    45. Vicente Rios & Lisa Gianmoena, 2021. "On the link between temperature and regional COVID‐19 severity: Evidence from Italy," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 109-137, November.
    46. Triki, Mohamed Bilel, 2019. "The Italian wage curve revisited: A local and spatial cointegration," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 73-90.
    47. Xiaoyi Han & Lung-Fei Lee, 2016. "Bayesian Analysis of Spatial Panel Autoregressive Models With Time-Varying Endogenous Spatial Weight Matrices, Common Factors, and Random Coefficients," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 642-660, October.
    48. Dou, Baojun & Parrella, Maria Lucia & Yao, Qiwei, 2016. "Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients," Journal of Econometrics, Elsevier, vol. 194(2), pages 369-382.
    49. The Nguyen Huynh, 2022. "Dynamic spatial effects of determinants of foreign direct investment: A case of the southern key economic region of Vietnam," Australian Economic Papers, Wiley Blackwell, vol. 61(3), pages 436-454, September.
    50. Debarsy, Nicolas & Yang, Zhenlin, 2018. "Editorial for the special issue entitled: New advances in spatial econometrics: Interactions matter," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 1-5.
    51. Song, Ge & Ren, Gaofeng, 2022. "Spatial response of cultivated land use efficiency to the maize structural adjustment policy in the "Sickle Bend" region of China: An empirical study from the cold area of northeast," Land Use Policy, Elsevier, vol. 123(C).
    52. Dou, Baojun & Parrella, Maria Lucia & Yao, Qiwei, 2016. "Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients," LSE Research Online Documents on Economics 67151, London School of Economics and Political Science, LSE Library.
    53. Kuersteiner, Guido M. & Prucha, Ingmar R., 2013. "Limit theory for panel data models with cross sectional dependence and sequential exogeneity," Journal of Econometrics, Elsevier, vol. 174(2), pages 107-126.
    54. Hanno Reuvers & Etienne Wijler, 2021. "Sparse Generalized Yule-Walker Estimation for Large Spatio-temporal Autoregressions with an Application to NO2 Satellite Data," Papers 2108.02864, arXiv.org, revised Dec 2021.

  51. Lung‐fei Lee & Jihai Yu, 2012. "Spatial Panels: Random Components Versus Fixed Effects," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(4), pages 1369-1412, November.

    Cited by:

    1. Nicolas Debarsy & Jean-Yves Gnabo & Malik Kerkour, 2017. "Sovereign Wealth Funds’ cross-border investments: assessing the role of country-level drivers and spatial competition," Post-Print hal-01251243, HAL.
    2. Millo, Giovanni, 2014. "Maximum likelihood estimation of spatially and serially correlated panels with random effects," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 914-933.
    3. Matt Ruther, 2014. "The effect of growth in foreign born population share on county homicide rates: A spatial panel approach," Papers in Regional Science, Wiley Blackwell, vol. 93, pages 1-23, November.
    4. Bhattacharjee, Arnab & Jensen-Butler, Chris, 2011. "Estimation of the Spatial Weights Matrix under Structural Constraints," SIRE Discussion Papers 2011-48, Scottish Institute for Research in Economics (SIRE).
    5. Wu, Zhen & Woo, Su-Han & Lai, Po-Lin & Chen, Xiaoyi, 2022. "The economic impact of inland ports on regional development: Evidence from the Yangtze River region," Transport Policy, Elsevier, vol. 127(C), pages 80-91.
    6. Maté-Sánchez-Val, Mariluz & López-Hernandez, Fernando & Mur-Lacambra, Jesús, 2017. "How do neighboring peer companies influence SMEs’ financial behavior?," Economic Modelling, Elsevier, vol. 63(C), pages 104-114.
    7. Puig, Francisco & Debón, Ana & Cantarero, Santiago & Marques, Helena, 2023. "Location, profitability, and international trade liberalization in European textile-clothing firms," Economic Modelling, Elsevier, vol. 129(C).
    8. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2022. "Bayesian estimation of multivariate panel probits with higher‐order network interdependence and an application to firms' global market participation in Guangdong," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1356-1378, November.
    9. Christian M. Hafner, 2020. "The Spread of the Covid-19 Pandemic in Time and Space," IJERPH, MDPI, vol. 17(11), pages 1-13, May.
    10. Kwok, Hon Ho, 2019. "Identification and estimation of linear social interaction models," Journal of Econometrics, Elsevier, vol. 210(2), pages 434-458.
    11. Bogui Li & Jianbao Chen & Hao Chen, 2024. "Estimation of fixed effects semiparametric single-index panel model with spatio-temporal correlated errors," Statistical Papers, Springer, vol. 65(8), pages 4915-4953, October.
    12. Sun, Yiguo & Malikov, Emir, 2017. "Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models with Fixed Effects," MPRA Paper 83671, University Library of Munich, Germany.
    13. Zhen Wu & Su-Han Woo & Jin-Ho Oh & Po-Lin Lai, 2024. "Temporal and spatial effects of manufacturing agglomeration on CO2 emissions: evidence from South Korea," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    14. Glass, Anthony J. & Kenjegalieva, Karligash & Douch, Mustapha, 2020. "Uncovering spatial productivity centers using asymmetric bidirectional spillovers," European Journal of Operational Research, Elsevier, vol. 285(2), pages 767-788.
    15. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2018. "Generalized spatial autocorrelation in a panel-probit model with an application to exporting in China," Empirical Economics, Springer, vol. 55(1), pages 193-211, August.
    16. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
    17. Giovanni Millo, 2022. "The generalized spatial random effects model in R," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-18, December.
    18. Anil K. Bera & Osman Doğan & Süleyman Taşpınar & Monalisa Sen, 2020. "Specification tests for spatial panel data models," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-39, December.
    19. Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
    20. Ng, Choy Peng & Law, Teik Hua & Jakarni, Fauzan Mohd & Kulanthayan, S., 2018. "Relative improvements in road mobility as compared to improvements in road accessibility and urban growth: A panel data analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 292-301.
    21. Xuhui Ding & Zhongyao Cai & Qianqian Xiao & Suhui Gao, 2019. "A Study on The Driving Factors and Spatial Spillover of Carbon Emission Intensity in The Yangtze River Economic Belt under Double Control Action," IJERPH, MDPI, vol. 16(22), pages 1-15, November.
    22. Zhen Wu & Po-Lin Lai & Kuo-Chung Shang & Mingjie Fang, 2024. "Investigating the impact of spatial dependence and heterogeneity on airport relationships: Empirical evidence from China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    23. Ming He & Kuan-Pin Lin, 2015. "Testing in a Random Effects Panel Data Model with Spatially Correlated Error Components and Spatially Lagged Dependent Variables," Econometrics, MDPI, vol. 3(4), pages 1-36, November.
    24. Li Yue & Dan Xue & Muhammad Umar Draz & Fayyaz Ahmad & Jiaojiao Li & Farrukh Shahzad & Shahid Ali, 2020. "The Double-Edged Sword of Urbanization and Its Nexus with Eco-Efficiency in China," IJERPH, MDPI, vol. 17(2), pages 1-20, January.
    25. Yannis PSYCHARIS & Antonis ROVOLIS & Vassilis TSELIOS & Panayotis PANTAZIS, 2014. "Economic Crisis And Regional Development In Greece," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 39, pages 67-85.
    26. Qunxi Kong & Rongrong Li & Y. Ni & Dan Peng, 2022. "Does China’s green economic recovery generate a spatial convergence trend: an explanation using agglomeration effects and fiscal instruments," Economic Change and Restructuring, Springer, vol. 55(4), pages 2499-2526, November.
    27. Millo, Giovanni, 2017. "A simple randomization test for spatial correlation in the presence of common factors and serial correlation," Regional Science and Urban Economics, Elsevier, vol. 66(C), pages 28-38.
    28. Ou Bianling & Long Zhihe & Li Wenqian, 2019. "Bootstrap LM Tests for Spatial Dependence in Panel Data Models with Fixed Effects," Journal of Systems Science and Information, De Gruyter, vol. 7(4), pages 330-343, August.

  52. Qingyan Shang & Lung-fei Lee, 2011. "Two-Step Estimation of Endogenous and Exogenous Group Effects," Econometric Reviews, Taylor & Francis Journals, vol. 30(2), pages 173-207.

    Cited by:

    1. Leung, Michael P., 2015. "Two-step estimation of network-formation models with incomplete information," Journal of Econometrics, Elsevier, vol. 188(1), pages 182-195.
    2. Michael P. Leung, 2019. "Inference in Models of Discrete Choice with Social Interactions Using Network Data," Papers 1911.07106, arXiv.org.
    3. Qingyan Shang, 2014. "Endogenous neighborhood effects on welfare participation," Empirical Economics, Springer, vol. 47(2), pages 639-667, September.

  53. Lee, Lung-fei & Yu, Jihai, 2011. "Estimation of Spatial Panels," Foundations and Trends(R) in Econometrics, now publishers, vol. 4(1–2), pages 1-164, April.

    Cited by:

    1. Atsushi Kawamoto, 2012. "An empirical analysis on intergovernmental strategic interaction in tax policy: Evidence from capital taxation in Japan," Discussion papers ron238, Policy Research Institute, Ministry of Finance Japan.
    2. Gençay, Ramazan & Signori, Daniele & Xue, Yi & Yu, Xiao & Zhang, Keyi, 2015. "Economic links and credit spreads," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 157-169.
    3. Roberto Ganau, 2017. "Institutions and economic growth in Africa: a spatial econometric approach," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 34(3), pages 425-444, December.
    4. Anna Gloria Billé & Marco Rogna, 2022. "The effect of weather conditions on fertilizer applications: A spatial dynamic panel data analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 3-36, January.
    5. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
    6. Ou Bianling & Long Zhihe & Li Wenqian, 2019. "Bootstrap LM Tests for Spatial Dependence in Panel Data Models with Fixed Effects," Journal of Systems Science and Information, De Gruyter, vol. 7(4), pages 330-343, August.

  54. Liu, Xiaodong & Lee, Lung-fei, 2010. "GMM estimation of social interaction models with centrality," Journal of Econometrics, Elsevier, vol. 159(1), pages 99-115, November.

    Cited by:

    1. Patacchini, Eleonora & Venanzoni, Giuseppe, 2014. "Peer effects in the demand for housing quality," Journal of Urban Economics, Elsevier, vol. 83(C), pages 6-17.
    2. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2019. "Estimation and inference for spatial models with heterogeneous coefficients: an application to U.S. house prices," CESifo Working Paper Series 7542, CESifo.
    3. Bramoullé, Yann & Boucher, Vincent, 2020. "Binary Outcomes and Linear Interactions," CEPR Discussion Papers 15505, C.E.P.R. Discussion Papers.
    4. Eleonora Patacchini & Tiziano Arduini & Edoardo Rainone, 2014. "Identification and Estimation of Outcome Response with Heterogeneous Treatment Externalities," Center for Policy Research Working Papers 167, Center for Policy Research, Maxwell School, Syracuse University.
    5. Liu, Xiaodong & Patacchini, Eleonora & Zenou, Yves & Lee, Lung-Fei, 2012. "Criminal Networks: Who is the Key Player?," Climate Change and Sustainable Development 128707, Fondazione Eni Enrico Mattei (FEEM).
    6. Lin, Xu & Weinberg, Bruce A., 2014. "Unrequited friendship? How reciprocity mediates adolescent peer effects," Regional Science and Urban Economics, Elsevier, vol. 48(C), pages 144-153.
    7. Gibbons, Steve & Overman, Henry G. & Patacchini, Eleonora, 2015. "Spatial Methods," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 115-168, Elsevier.
    8. Rokhaya Dieye & Bernard Fortin, 2017. "Gender Peer Effects Heterogeneity in Obesity," CIRANO Working Papers 2017s-03, CIRANO.
    9. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2019. "Peer Effects in Networks: a Survey," Working Papers halshs-02440709, HAL.
    10. Fei Jin & Lung-fei Lee, 2013. "Generalized Spatial Two Stage Least Squares Estimation of Spatial Autoregressive Models with Autoregressive Disturbances in the Presence of Endogenous Regressors and Many Instruments," Econometrics, MDPI, vol. 1(1), pages 1-44, May.
    11. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    12. Chuanmin Zhao & Xi Qu, 2022. "Social networks and internal migration in China: A spatial autoregressive model," Review of Development Economics, Wiley Blackwell, vol. 26(2), pages 1132-1163, May.
    13. Eleonora Patacchini & Edoardo Rainone, 2014. "The Word on Banking - Social Ties, Trust, and the Adoption of Financial Products," EIEF Working Papers Series 1404, Einaudi Institute for Economics and Finance (EIEF), revised Jul 2014.
    14. Topa, Giorgio & Zenou, Yves, 2015. "Neighborhood and Network Effects," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 561-624, Elsevier.
    15. Nicolas Carayol, 2016. "How do inventor networks affect urban invention," Post-Print hal-02274653, HAL.
    16. Patacchini, Eleonora & Bisin, Alberto, 2019. "Dynamic Social Interactions and Health Risk Behavior," CEPR Discussion Papers 13918, C.E.P.R. Discussion Papers.
    17. Nicoletti, Cheti & Salvanes, Kjell G. & Tominey, Emma, 2016. "The Family Peer Effect on Mothers' Labour Supply," IZA Discussion Papers 9927, Institute of Labor Economics (IZA).
    18. Edoardo Rainone, 2015. "Price transmission in the unsecured money market," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Indicators to support monetary and financial stability analysis: data sources and statistical methodologies, volume 39, Bank for International Settlements.
    19. Ayden Higgins & Federico Martellosio, 2019. "Shrinkage Estimation of Network Spillovers with Factor Structured Errors," Papers 1909.02823, arXiv.org, revised Nov 2021.
    20. Zenou, Yves & Lindquist, Matthew & Sauermann, Jan, 2015. "Network Effects on Worker Productivity," CEPR Discussion Papers 10928, C.E.P.R. Discussion Papers.
    21. Dogan, Osman & Taspinar, Suleyman & Bera, Anil K., 2017. "Simple Tests for Social Interaction Models with Network Structures," MPRA Paper 82828, University Library of Munich, Germany.
    22. Liu, Xiaodong & Prucha, Ingmar R., 2018. "A robust test for network generated dependence," Journal of Econometrics, Elsevier, vol. 207(1), pages 92-113.
    23. Hiwatari, Masato, 2016. "Social networks and migration decisions: The influence of peer effects in rural households in Central Asia," Journal of Comparative Economics, Elsevier, vol. 44(4), pages 1115-1131.
    24. Liu, Xiaodong & Patacchini, Eleonora & Zenou, Yves, 2014. "Endogenous peer effects: local aggregate or local average?," Journal of Economic Behavior & Organization, Elsevier, vol. 103(C), pages 39-59.
    25. Baltagi, Badi H. & Liu, Long, 2024. "Testing for spatial correlation under a complete bipartite network," Economics Letters, Elsevier, vol. 241(C).
    26. Qu, Xi & Lee, Lung-fei & Yang, Chao, 2021. "Estimation of a SAR model with endogenous spatial weights constructed by bilateral variables," Journal of Econometrics, Elsevier, vol. 221(1), pages 180-197.
    27. Yingyao Hu & Zhongjian Lin, 2018. "Misclassification and the hidden silent rivalry," CeMMAP working papers CWP12/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    28. Guido M. Kuersteiner & Ingmar R. Prucha & Ying Zeng, 2021. "Efficient Peer Effects Estimators with Group Effects," Papers 2105.04330, arXiv.org, revised Apr 2022.
    29. Zhang, Wei-Bin, 2016. "Economic Globalization and Interregional Agglomeration in a Multi-Country and Multi-Regional Neoclassical Growth Model," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 34, pages 95-121.
    30. Patacchini, Eleonora & Rainone, Edoardo & Zenou, Yves, 2011. "Dynamic Aspects of Teenage Friendships and Educational Attainment," Research Papers in Economics 2011:4, Stockholm University, Department of Economics.
    31. Guy Tchuente, 2016. "Estimation of social interaction models using regularization," Studies in Economics 1607, School of Economics, University of Kent.
    32. Zhu, Xuening & Huang, Danyang & Pan, Rui & Wang, Hansheng, 2020. "Multivariate spatial autoregressive model for large scale social networks," Journal of Econometrics, Elsevier, vol. 215(2), pages 591-606.
    33. Chih-Sheng Hsieh & Michael D. Konig & Xiaodong Liu, 2022. "A Structural Model for the Coevolution of Networks and Behavior," The Review of Economics and Statistics, MIT Press, vol. 104(2), pages 355-367, May.
    34. Rainone, Edoardo, 2020. "The network nature of over-the-counter interest rates," Journal of Financial Markets, Elsevier, vol. 47(C).
    35. Liu, Xiaodong & Zhou, Jiannan, 2017. "A social interaction model with ordered choices," Economics Letters, Elsevier, vol. 161(C), pages 86-89.
    36. Hao Zeng & Wei Zhong & Xingbai Xu, 2024. "Transfer Learning for Spatial Autoregressive Models with Application to U.S. Presidential Election Prediction," Papers 2405.15600, arXiv.org, revised Sep 2024.
    37. Zenou, Yves & Patacchini, Eleonora & Liu, Xiaodong, 2013. "Peer Effects: Social Multiplier or Social Norms?," CEPR Discussion Papers 9366, C.E.P.R. Discussion Papers.
    38. Vincent Boucher & Bernard Fortin, 2015. "Some Challenges in the Empirics of the Effects of Networks," Cahiers de recherche 1504, CIRPEE.
    39. Patacchini, Eleonora & Rainone, Edoardo & Zenou, Yves, 2017. "Heterogeneous peer effects in education," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 190-227.
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    41. Guy Tchuente, 2019. "Weak Identification and Estimation of Social Interaction Models," Papers 1902.06143, arXiv.org.
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    98. Lina Lu, 2017. "Simultaneous Spatial Panel Data Models with Common Shocks," Supervisory Research and Analysis Working Papers RPA 17-3, Federal Reserve Bank of Boston.
    99. Eric Nazindigouba Kere & Somlanaré Romuald Kinda, 2016. "Climate Change and Food Security: Do Spatial Spillovers Matter?," Working Papers halshs-01278873, HAL.
    100. Zhiyong Chen & Jianbao Chen, 2022. "Bayesian analysis of partially linear, single-index, spatial autoregressive models," Computational Statistics, Springer, vol. 37(1), pages 327-353, March.
    101. Xuan Liang & Tao Zou, 2023. "Quasi-Score Matching Estimation for Spatial Autoregressive Model with Random Weights Matrix and Regressors," Papers 2305.19721, arXiv.org.
    102. Yuan, Hang & Guan, Zhihua & Jiang, Changmin & Yang, Hangjun, 2023. "Peer effect in the construction of China’s high-speed rail stations: Empirical evidence from spatial econometric analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    103. Danqing Chen & Jianbao Chen & Shuangshuang Li, 2021. "Instrumental Variable Quantile Regression of Spatial Dynamic Durbin Panel Data Model with Fixed Effects," Mathematics, MDPI, vol. 9(24), pages 1-24, December.
    104. Chen, Lifeng & Wang, Kaifeng, 2022. "The spatial spillover effect of low-carbon city pilot scheme on green efficiency in China's cities: Evidence from a quasi-natural experiment," Energy Economics, Elsevier, vol. 110(C).
    105. Wang, Wei & Lee, Lung-Fei & Bao, Yan, 2018. "GMM estimation of the spatial autoregressive model in a system of interrelated networks," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 167-198.
    106. Gao YUANDONG & Wen TAO & Yi WEN & Wang XIAOHUA, 2013. "A spatial econometric study on effects of fiscal and financial supports for agriculture in China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 59(7), pages 315-332.
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    108. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
    109. Dou, Baojun & Parrella, Maria Lucia & Yao, Qiwei, 2016. "Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients," Journal of Econometrics, Elsevier, vol. 194(2), pages 369-382.
    110. Han, Xiaoyi & Lee, Lung-fei, 2013. "Model selection using J-test for the spatial autoregressive model vs. the matrix exponential spatial model," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 250-271.
    111. Heather D Gibson & Stephen G Hall & Deborah GeFang & Pavlos Petroulas & George S Tavlas, 2021. "Cross-country spillovers of national financial markets and the effectiveness of ECB policies during the euro-area crisis," Oxford Economic Papers, Oxford University Press, vol. 73(4), pages 1454-1470.
    112. Seydou Coulibaly & Abdramane Camara, 2022. "The end of tax incentives in mining? Tax policy and mining foreign direct investment in Africa," African Development Review, African Development Bank, vol. 34(S1), pages 177-194, July.
    113. Jin, Fei & Lee, Lung-fei, 2012. "Approximated likelihood and root estimators for spatial interaction in spatial autoregressive models," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 446-458.
    114. Shi, Wei & Lee, Lung-fei, 2017. "Spatial dynamic panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 197(2), pages 323-347.
    115. Dou, Baojun & Parrella, Maria Lucia & Yao, Qiwei, 2016. "Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients," LSE Research Online Documents on Economics 67151, London School of Economics and Political Science, LSE Library.
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    Cited by:

    1. Gabriel Montes-Rojas & Luciano de Castro & Antonio F. Galvao & Jeong Yeol Kim & José Olmo, 2021. "Experiments On Portfolio Selection: A Comparison Between Quantile Preferences And Expected Utility Decision Models," Documentos de trabajo del Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET) 2021-68, Universidad de Buenos Aires, Facultad de Ciencias Económicas, Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET).
    2. Galvao, Antonio F. & Wang, Liang, 2015. "Efficient minimum distance estimator for quantile regression fixed effects panel data," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 1-26.
    3. Antoine, Bertille & Renault, Eric, 2012. "Efficient minimum distance estimation with multiple rates of convergence," Journal of Econometrics, Elsevier, vol. 170(2), pages 350-367.
    4. Christian Ritz & Rikke Pilmann Laursen & Camilla Trab Damsgaard, 2017. "Simultaneous inference for multilevel linear mixed models—with an application to a large-scale school meal study," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(2), pages 295-311, February.
    5. Cheng, Xu, 2015. "Robust inference in nonlinear models with mixed identification strength," Journal of Econometrics, Elsevier, vol. 189(1), pages 207-228.

  57. Lee, Lung-fei & Yu, Jihai, 2010. "A Spatial Dynamic Panel Data Model With Both Time And Individual Fixed Effects," Econometric Theory, Cambridge University Press, vol. 26(2), pages 564-597, April.

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    1. Nagayasu, Jun, 2014. "Regional inflation, spatial location and the Balassa-Samuelson effect," MPRA Paper 59220, University Library of Munich, Germany.
    2. Christopher L. Foote, 2007. "Space and time in macroeconomic panel data: young workers and state-level unemployment revisited," Working Papers 07-10, Federal Reserve Bank of Boston.
    3. Asgharian, Hossein & Hess, Wolfgang & Liu, Lu, 2013. "A spatial analysis of international stock market linkages," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4738-4754.
    4. Millo, Giovanni, 2014. "Maximum likelihood estimation of spatially and serially correlated panels with random effects," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 914-933.
    5. Jieun Lee, 2022. "Testing Endogeneity of Spatial Weights Matrices in Spatial Dynamic Panel Data Models," Papers 2209.05563, arXiv.org.
    6. Júlia Gallego Ziero Uhr & André Luis Squarize Chagas, Daniel de Abreu Pereira Uhr, Renan Porn Peres, 2017. "A study on environmental infractions for Brazilian municipalities: a spatial dynamic panel approach," Working Papers, Department of Economics 2017_13, University of São Paulo (FEA-USP).
    7. Luping Shi & Zhongyao Cai & Xuhui Ding & Rong Di & Qianqian Xiao, 2020. "What Factors Affect the Level of Green Urbanization in the Yellow River Basin in the Context of New-Type Urbanization?," Sustainability, MDPI, vol. 12(6), pages 1-15, March.
    8. Francesc Amat & Pablo Beramendi & Miriam Hortas-Rico & Vicente Rios, 2020. "How inequality shapes political participation: The role of spatial patterns of political competition," Working Papers. Collection B: Regional and sectoral economics 2002, Universidade de Vigo, GEN - Governance and Economics research Network.
    9. Roberto Basile & Alessandro Girardi & Marianna Mantuano & Giuseppe Russo, 2016. "Interregional Migration, Human Capital Externalities and Unemployment Dynamics: Evidence from Italian Provinces," CSEF Working Papers 460, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    10. Lottmann, Franziska, 2012. "Spatial dependencies in German matching functions," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 27-41.
    11. Hanen Ragoubi & Zouheir Mighri, 2021. "Spillover effects of trade openness on CO2 emissions in middle‐income countries: A spatial panel data approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 835-877, June.
    12. Duan, Kun & Mishra, Tapas & Parhi, Mamata, 2018. "Space matters: Understanding the real effects of macroeconomic variations in cross-country housing price movements," Economics Letters, Elsevier, vol. 163(C), pages 130-135.
    13. Niu, Honglei & Lekse, William, 2017. "Carbon emission effect of urbanization at regional level: Empirical evidence from China," Economics Discussion Papers 2017-62, Kiel Institute for the World Economy (IfW Kiel).
    14. Candelon, Bertrand & Carare, Alina & Miao, Keith, 2016. "Revisiting the new normal hypothesis," Journal of International Money and Finance, Elsevier, vol. 66(C), pages 5-31.
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    27. Niu, Honglei & Lekse, William, 2018. "Carbon emission effect of urbanization at regional level: Empirical evidence from China," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-31.
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    47. Guilherme Mendes Resende & Diego Firmino Costa da Silva & Luís Abel da Silva Filho, 2018. "Evaluation of the Brazilian regional development funds," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 38(2), pages 191-217, October.
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    99. Halleck Vega, Solmaria & Elhorst, J. Paul, 2016. "A regional unemployment model simultaneously accounting for serial dynamics, spatial dependence and common factors," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 85-95.
    100. Danqing Chen & Jianbao Chen & Shuangshuang Li, 2021. "Instrumental Variable Quantile Regression of Spatial Dynamic Durbin Panel Data Model with Fixed Effects," Mathematics, MDPI, vol. 9(24), pages 1-24, December.
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    102. Vicente Rios & Lisa Gianmoena, 2021. "On the link between temperature and regional COVID‐19 severity: Evidence from Italy," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 109-137, November.
    103. Eleftheriou, Konstantinos & Patsoulis, Patroklos, 2020. "COVID-19 Lockdown Intensity and Stock Market Returns: A Spatial Econometrics Approach," MPRA Paper 100662, University Library of Munich, Germany.
    104. Justin Doran & Declan Jordan, 2018. "The effect of geographical proximity and rivalry on performance: evidence from the English Football League," Regional Studies, Taylor & Francis Journals, vol. 52(11), pages 1559-1569, November.
    105. dos Santos, Gervásio & Faria, Weslem, 2012. "Spatial Panel Data Models and Fuel Demand in Brazil," TD NEREUS 10-2012, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    106. LeSage, James P. & Chih, Yao-Yu, 2018. "A Bayesian spatial panel model with heterogeneous coefficients," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 58-73.
    107. Song, Ge & Ren, Gaofeng, 2022. "Spatial response of cultivated land use efficiency to the maize structural adjustment policy in the "Sickle Bend" region of China: An empirical study from the cold area of northeast," Land Use Policy, Elsevier, vol. 123(C).
    108. Han, Xiaoyi & Hsieh, Chih-Sheng & Lee, Lung-fei, 2017. "Estimation and model selection of higher-order spatial autoregressive model: An efficient Bayesian approach," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 97-120.
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    110. Konan Alain N’Ghauran & Corinne Autant-Bernard, 2020. "Effects of cluster policies on regional innovation networks: Evidence from France," Working Papers 2005, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    111. Hory, Marie-Pierre & Organització de Cooperació i Desenvolupament Econòmic, Països de l', 2017. "International tax competition: A reappraisal," Working Papers 2072/290763, Universitat Rovira i Virgili, Department of Economics.
    112. Jeong, Hanbat & Lee, Lung-fei, 2021. "Spatial dynamic game models for coevolution of intertemporal economic decision-making and spatial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    113. Youxing Huang & Meixia Dong & Yanping Zhao, 2024. "Sister‐city Ties and Chinese Outward Foreign Direct Investment: A Spatial Econometric Analysis," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 32(1), pages 231-258, January.
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    Cited by:

    1. Nicolas Debarsy & Jean-Yves Gnabo & Malik Kerkour, 2017. "Sovereign Wealth Funds’ cross-border investments: assessing the role of country-level drivers and spatial competition," Post-Print hal-01251243, HAL.
    2. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2019. "Estimation and inference for spatial models with heterogeneous coefficients: an application to U.S. house prices," CESifo Working Paper Series 7542, CESifo.
    3. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2015. "Quasi Maximum Likelihood Estimation of Spatial Models with Heterogeneous Coefficients," Working Papers 749, Queen Mary University of London, School of Economics and Finance.
    4. Badi H. Baltagi & Alain Pirotte & Zhenlin Yang, 2021. "Diagnostic tests for homoskedasticity in spatial cross-sectional or panel models," Post-Print hal-04120461, HAL.
    5. Özyurt, Selin & Mitze, Timo, 2012. "The Spatial Dimension of Trade- and FDI-driven Productivity Growth in Chinese Provinces – A Global Cointegration Approach," Ruhr Economic Papers 308, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Hou, Zhezhi & Zhao, Shunan & Kumbhakar, Subal C., 2023. "The GMM estimation of semiparametric spatial stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1450-1464.
    7. Gao, Zhaoxing & Ma, Yingying & Wang, Hansheng & Yao, Qiwei, 2019. "Banded spatio-temporal autoregressions," Journal of Econometrics, Elsevier, vol. 208(1), pages 211-230.
    8. Montmartin, B. & Herrera, M. & Massard, N., 2017. "R&D policy regimes in France: New evidence from spatio-temporal analysis," Working Papers 2017-06, Grenoble Applied Economics Laboratory (GAEL).
    9. Yongsong Qin, 2021. "Empirical Likelihood for Spatial Autoregressive Models with Spatial Autoregressive Disturbances," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(1), pages 1-25, February.
    10. M. Hashem Pesaran & Cynthia Fan Yang, 2019. "Estimation and inference in spatial models with dominant units," CESifo Working Paper Series 7563, CESifo.
    11. Tizheng Li & Xiaojuan Kang, 2022. "Variable selection of higher-order partially linear spatial autoregressive model with a diverging number of parameters," Statistical Papers, Springer, vol. 63(1), pages 243-285, February.
    12. Jin, Fei & Lee, Lung-fei, 2020. "Asymptotically efficient root estimators for spatial autoregressive models with spatial autoregressive disturbances," Economics Letters, Elsevier, vol. 194(C).
    13. Jцrg Breitung & Christoph Wigger, 2017. "Alternative GMM estimators for spatial regression models," Working Paper Series in Economics 89, University of Cologne, Department of Economics.
    14. Luis Eduardo Sandoval, 2018. "Socio-economics characteristics and spatial persistence of homicides in Colombia, 2000-2010," Estudios de Economia, University of Chile, Department of Economics, vol. 45(1 Year 20), pages 51-77, June.
    15. Jin, Fei & Lee, Lung-fei, 2018. "Outer-product-of-gradients tests for spatial autoregressive models," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 35-57.
    16. Nicolas DEBARSY & Cem ERTUR, 2016. "Interaction matrix selection in spatial econometrics with an application to growth theory," LEO Working Papers / DR LEO 2172, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    17. William C. Horrace & Hyunseok Jung & Shane Sanders, 2022. "Network Competition and Team Chemistry in the NBA," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 35-49, January.
    18. Harald Badinger & Peter Egger, 2015. "Fixed Effects and Random Effects Estimation of Higher-order Spatial Autoregressive Models with Spatial Autoregressive and Heteroscedastic Disturbances," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(1), pages 11-35, March.
    19. Abhimanyu Gupta, 2020. "Efficient closed-form estimation of large spatial autoregressions," Papers 2008.12395, arXiv.org, revised May 2021.
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    21. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2022. "Bayesian estimation of multivariate panel probits with higher‐order network interdependence and an application to firms' global market participation in Guangdong," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1356-1378, November.
    22. Hao, Bowen & Prokhorov, Artem & Qian, Hailong, 2019. "Moment Redundancy Test with Application to Efficiency-Improving Copulas," Working Papers BAWP-2019-05, University of Sydney Business School, Discipline of Business Analytics.
    23. Li, Liyao & Yang, Zhenlin, 2020. "Estimation of fixed effects spatial dynamic panel data models with small T and unknown heteroskedasticity," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    24. Yun Feng & Xin Li, 2021. "Does cross-shareholding lead to China's stock returns comovement? Evidence from a GMM-based spatial AR model," Empirical Economics, Springer, vol. 61(6), pages 3213-3237, December.
    25. Qu, Xi & Lee, Lung-fei & Yang, Chao, 2021. "Estimation of a SAR model with endogenous spatial weights constructed by bilateral variables," Journal of Econometrics, Elsevier, vol. 221(1), pages 180-197.
    26. Elliott, Robert J.R. & Zhou, Ying, 2015. "Co-location and Spatial Wage Spillovers in China: The Role of Foreign Ownership and Trade," World Development, Elsevier, vol. 66(C), pages 629-644.
    27. Yongsong Qin & Qingzhu Lei, 2021. "Empirical Likelihood for Mixed Regressive, Spatial Autoregressive Model Based on GMM," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(1), pages 353-378, February.
    28. Cynthia Fan Yang, 2021. "Common factors and spatial dependence: an application to US house prices," Econometric Reviews, Taylor & Francis Journals, vol. 40(1), pages 14-50, January.
    29. Doğan, Osman & Taşpınar, Süleyman, 2014. "Spatial autoregressive models with unknown heteroskedasticity: A comparison of Bayesian and robust GMM approach," Regional Science and Urban Economics, Elsevier, vol. 45(C), pages 1-21.
    30. Matteo Deleidi & Mariana Mazzucato & Gregor Semieniuk, 2019. "Neither crowding in nor out: Public direct investment mobilising private investment into renewable electricity projects," Working Papers 226, Department of Economics, SOAS University of London, UK.
    31. Cizek, P. & Jacobs, J.P.A.M. & Ligthart, J.E. & Vrijburg, H., 2011. "GMM Estimation of Fixed Effects Dynamic Panel Data Models with Spatial Lag and Spatial Errors (Replaced by CentER DP 2015-003)," Discussion Paper 2011-134, Tilburg University, Center for Economic Research.
    32. Sophie Béreau & Nicolas Debarsy & Cyrille Dossougoin & Jean-Yves Gnabo, 2022. "Contagion in the Banking Industry: a Robust-to-Endogeneity Analysis," Working Papers halshs-03513049, HAL.
    33. Shew Fan Liu & Zhenlin Yang, 2014. "Modified QML Estimation of Spatial Autoregressive Models with Unknown Heteroskedasticity and Nonnormality," Working Papers 14-2014, Singapore Management University, School of Economics.
    34. Patricia Suárez & Matías Mayor & Begoña Cueto, 2012. "The accessibility to employment offices in the Spanish labour market," Papers in Regional Science, Wiley Blackwell, vol. 91(4), pages 823-848, November.
    35. Nicolas Debarsy & Fei Jin & Lung-Fei Lee, 2015. "Large sample properties of the matrix exponential spatial specification with an application to FDI," Post-Print hal-00858174, HAL.
    36. Zhengyu Zhang, 2013. "A Pairwise Difference Estimator for Partially Linear Spatial Autoregressive Models," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(2), pages 176-194, June.
    37. Bing Su & Fukang Zhu & Ke Zhu, 2023. "Statistical inference for the logarithmic spatial heteroskedasticity model with exogenous variables," Papers 2301.06658, arXiv.org.
    38. Lee, Lung-fei & Yu, Jihai, 2014. "Efficient GMM estimation of spatial dynamic panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 180(2), pages 174-197.
    39. Sun, Yiguo & Malikov, Emir, 2017. "Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models with Fixed Effects," MPRA Paper 83671, University Library of Munich, Germany.
    40. Xuan Liang & Jiti Gao & Xiaodong Gong, 2019. "Time-Varying Coefficient Spatial Autoregressive Panel Data Model with Fixed Effects," Monash Econometrics and Business Statistics Working Papers 26/19, Monash University, Department of Econometrics and Business Statistics.
    41. Osman Doğan, 2015. "Heteroskedasticity of Unknown Form in Spatial Autoregressive Models with a Moving Average Disturbance Term," Econometrics, MDPI, vol. 3(1), pages 1-27, February.
    42. Liu, Xiaodong & Saraiva, Paulo, 2015. "GMM estimation of SAR models with endogenous regressors," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 68-79.
    43. Wei, Chuanhua & Guo, Shuang & Zhai, Shufen, 2017. "Statistical inference of partially linear varying coefficient spatial autoregressive models," Economic Modelling, Elsevier, vol. 64(C), pages 553-559.
    44. Chasco, Coro & Le Gallo, Julie & López, Fernando A., 2018. "A scan test for spatial groupwise heteroscedasticity in cross-sectional models with an application on houses prices in Madrid," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 226-238.
    45. Qu, Xi & Lee, Lung-fei, 2015. "Estimating a spatial autoregressive model with an endogenous spatial weight matrix," Journal of Econometrics, Elsevier, vol. 184(2), pages 209-232.
    46. Jin, Fei & Lee, Lung-fei, 2019. "GEL estimation and tests of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 208(2), pages 585-612.
    47. Osman Dogan, 2013. "Heteroskedasticity of Unknown Form in Spatial Autoregressive Models with Moving Average Disturbance Term," Working Papers 2, City University of New York Graduate Center, Ph.D. Program in Economics.
    48. James Paul LeSage & Manfred M. Fischer, 2020. "Cross-sectional dependence model specifications in a static trade panel data setting," Journal of Geographical Systems, Springer, vol. 22(1), pages 5-46, January.
    49. Tsusaka, Takuji W. & Kajisa, Kei & Pede, Valerien O. & Aoyagi, Keitaro, 2015. "Neighborhood effects and social behavior: The case of irrigated and rainfed farmers in Bohol, the Philippines," Journal of Economic Behavior & Organization, Elsevier, vol. 118(C), pages 227-246.
    50. Moscone, Francesco & Tosetti, Elisa & Canepa, Alessandra, 2014. "Real estate market and financial stability in US metropolitan areas: A dynamic model with spatial effects," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 129-146.
    51. Maria A. Arias & Charles S. Gascon & David E. Rapach, 2014. "Metro Business Cycles," Working Papers 2014-46, Federal Reserve Bank of St. Louis.
    52. Cizek, P. & Jacobs, J. & Ligthart, J.E. & Vrijburg, H., 2015. "GMM Estimation of Fixed Effects Dynamic Panel Data Models with Spatial Lag and Spatial Errors (Revised version of CentER DP 2011-134)," Discussion Paper 2015-003, Tilburg University, Center for Economic Research.
    53. Zhenlin Yang, 2018. "Bootstrap LM tests for higher-order spatial effects in spatial linear regression models," Empirical Economics, Springer, vol. 55(1), pages 35-68, August.
    54. Su, Liangjun, 2012. "Semiparametric GMM estimation of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 167(2), pages 543-560.
    55. Maria Kyriacou & Peter C.B. Phillips & Francesca Rossi, 2019. "Continuously Updated Indirect Inference in Heteroskedastic Spatial Models," Working Papers 15/2019, University of Verona, Department of Economics.
    56. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
    57. Imen Mohamed Sghaier, 2022. "The Role of Institutional Quality in Finance-Growth Nexus: Evidence from North African Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 3472-3491, December.
    58. Imen Mohamed Sghaier, 2020. "Does Financial Development Affect the Economic Growth Gains from Trade Openness?," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 4, pages 666-682, December.
    59. Malikov, Emir & Sun, Yiguo, 2017. "Semiparametric Estimation and Testing of Smooth Coefficient Spatial Autoregressive Models," MPRA Paper 77253, University Library of Munich, Germany.
    60. Imen Mohamed Sghaier, 2022. "Foreign Capital Inflows and Economic Growth in North African Countries: the Role of Human Capital," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 2804-2821, December.
    61. Lee, Jungyoon & Robinson, Peter M., 2020. "Adaptive inference on pure spatial models," Journal of Econometrics, Elsevier, vol. 216(2), pages 375-393.
    62. Sun, Yanqing & Zhang, Yuanqing & Huang, Jianhua Z., 2019. "Estimation of a semiparametric varying-coefficient mixed regressive spatial autoregressive model," Econometrics and Statistics, Elsevier, vol. 9(C), pages 140-155.
    63. Osman Dogan & Suleyman Taspinar, 2013. "GMM Estimation of Spatial Autoregressive Models with Autoregressive and Heteroskedastic Disturbances," Working Papers 1, City University of New York Graduate Center, Ph.D. Program in Economics.
    64. Jin, Fei & Lee, Lung-fei, 2015. "On the bootstrap for Moran’s I test for spatial dependence," Journal of Econometrics, Elsevier, vol. 184(2), pages 295-314.
    65. Bai, Jushan & Li, Kunpeng, 2021. "Dynamic spatial panel data models with common shocks," Journal of Econometrics, Elsevier, vol. 224(1), pages 134-160.
    66. Zhang, Xinyu & Yu, Jihai, 2018. "Spatial weights matrix selection and model averaging for spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 203(1), pages 1-18.
    67. Yang, Zhenlin, 2015. "LM tests of spatial dependence based on bootstrap critical values," Journal of Econometrics, Elsevier, vol. 185(1), pages 33-59.
    68. Liangjun Su & Xi Qu, 2017. "Specification Test for Spatial Autoregressive Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 572-584, October.
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    Cited by:

    1. Pesaran, M. Hashem & Tosetti, Elisa, 2007. "Large Panels with Common Factors and Spatial Correlations," IZA Discussion Papers 3032, Institute of Labor Economics (IZA).
    2. Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2011. "Estimating and Forecasting with a Dynamic Spatial Panel Data Model," SERC Discussion Papers 0095, Centre for Economic Performance, LSE.
    3. Arbués, Ignacio & Ledo, Ramiro & Matilla-García, Mariano, 2016. "Automatic identification of general vector error correction models," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 10, pages 1-41.
    4. Nicolas Debarsy & Cyrille Dossougoin & Cem Ertur & Jean-Yves Gnabo, 2018. "Measuring sovereign risk spillovers and assessing the role of transmission channels: A spatial econometrics approach," Post-Print hal-01744629, HAL.
    5. Taşpınar, Süleyman & Doğan, Osman & Bera, Anil K., 2017. "GMM gradient tests for spatial dynamic panel data models," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 65-88.
    6. Taspinar, Suleyman & Dogan, Osman & Bera, Anil K., 2017. "GMM Gradient Tests for Spatial Dynamic Panel Data Models," MPRA Paper 82830, University Library of Munich, Germany.
    7. Baylis, Katherine R. & Paulson, Nicholas D. & Piras, Gianfranco, 2011. "Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(3), pages 1-14, August.
    8. Su, Liangjun & Yang, Zhenlin, 2015. "QML estimation of dynamic panel data models with spatial errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 230-258.
    9. Cizek, P. & Jacobs, J.P.A.M. & Ligthart, J.E. & Vrijburg, H., 2011. "GMM Estimation of Fixed Effects Dynamic Panel Data Models with Spatial Lag and Spatial Errors (Replaced by CentER DP 2015-003)," Discussion Paper 2011-134, Tilburg University, Center for Economic Research.
    10. Li, Liyao & Yang, Zhenlin, 2021. "Spatial dynamic panel data models with correlated random effects," Journal of Econometrics, Elsevier, vol. 221(2), pages 424-454.
    11. Glass, Anthony J. & Kenjegalieva, Karligash & Sickles, Robin C. & Weyman-Jones, Thomas, 2018. "The Spatial Efficiency Multiplier and Common Correlated Effects in a Spatial Autoregressive Stochastic Frontier Model," Working Papers 18-003, Rice University, Department of Economics.
    12. Lee, Lung-fei & Yu, Jihai, 2014. "Efficient GMM estimation of spatial dynamic panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 180(2), pages 174-197.
    13. Qu, Xi & Lee, Lung-fei & Yu, Jihai, 2017. "QML estimation of spatial dynamic panel data models with endogenous time varying spatial weights matrices," Journal of Econometrics, Elsevier, vol. 197(2), pages 173-201.
    14. Yang, Zhenlin & Yu, Jihai & Liu, Shew Fan, 2016. "Bias correction and refined inferences for fixed effects spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 52-72.
    15. Yang, Kai & Lee, Lung-fei, 2021. "Estimation of dynamic panel spatial vector autoregression: Stability and spatial multivariate cointegration," Journal of Econometrics, Elsevier, vol. 221(2), pages 337-367.
    16. Yin, Fang & Sun, Zhanli & You, Liangzhi & Wei Huang, Vivian, 2024. "Technical Efficiency Versus Land-Use Efficiency: A Spatio-Temporal Efficiency Analysis of China's Crop Production," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 73(2), pages 1-20.
    17. Jean Dubé & Diègo Legros, 2013. "Dealing with spatial data pooled over time in statistical models," Letters in Spatial and Resource Sciences, Springer, vol. 6(1), pages 1-18, March.
    18. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2012. "Estimation for spatial dynamic panel data with fixed effects: The case of spatial cointegration," Journal of Econometrics, Elsevier, vol. 167(1), pages 16-37.
    19. Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.
    20. Cizek, P. & Jacobs, J. & Ligthart, J.E. & Vrijburg, H., 2015. "GMM Estimation of Fixed Effects Dynamic Panel Data Models with Spatial Lag and Spatial Errors (Revised version of CentER DP 2011-134)," Discussion Paper 2015-003, Tilburg University, Center for Economic Research.
    21. Xiaowen Dai & Libin Jin, 2021. "Minimum distance quantile regression for spatial autoregressive panel data models with fixed effects," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-13, December.
    22. Carmelo Algeri & Antonio F. Forgione & Carlo Migliardo, 2022. "Do spatial dependence and market power matter in the diversification of cooperative banks?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(3), November.
    23. Mengqi Zhang & Boping Tian, 2023. "Profile Maximum Likelihood Estimation of Single-Index Spatial Dynamic Panel Data Model," Mathematics, MDPI, vol. 11(13), pages 1-16, July.
    24. Hou, Li & Jin, Baisuo & Wu, Yuehua, 2024. "Estimation and variable selection for high-dimensional spatial dynamic panel data models," Journal of Econometrics, Elsevier, vol. 238(2).
    25. Hory, Marie-Pierre, 2018. "Delayed mimicking: the timing of fiscal interactions in Europe," European Journal of Political Economy, Elsevier, vol. 55(C), pages 97-118.
    26. Lina Lu, 2017. "Simultaneous Spatial Panel Data Models with Common Shocks," Supervisory Research and Analysis Working Papers RPA 17-3, Federal Reserve Bank of Boston.
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    1. Gupta, Abhimanyu & Robinson, Peter M., 2015. "Inference on higher-order spatial autoregressive models with increasingly many parameters," Journal of Econometrics, Elsevier, vol. 186(1), pages 19-31.
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    3. Bramoullé, Yann & Boucher, Vincent, 2020. "Binary Outcomes and Linear Interactions," CEPR Discussion Papers 15505, C.E.P.R. Discussion Papers.
    4. Gibbons, Steve & Overman, Henry G. & Patacchini, Eleonora, 2015. "Spatial Methods," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 115-168, Elsevier.
    5. Shew Fan Liu & Zhenlin Yang, 2015. "Asymptotic Distribution and Finite Sample Bias Correction of QML Estimators for Spatial Error Dependence Model," Econometrics, MDPI, vol. 3(2), pages 1-36, May.
    6. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    7. Robinson, Peter & Rossi, Francesca, 2015. "Refinements in maximum likelihood inference on spatial autocorrelation in panel data," LSE Research Online Documents on Economics 61432, London School of Economics and Political Science, LSE Library.
    8. FUJII Daisuke, 2016. "Shock Propagations in Granular Networks," Discussion papers 16057, Research Institute of Economy, Trade and Industry (RIETI).
    9. Daniel Arribas-Bel & Julia Koschinsky & Pedro Amaral, 2012. "Improving the multi-dimensional comparison of simulation results: a spatial visualization approach," Letters in Spatial and Resource Sciences, Springer, vol. 5(2), pages 55-63, July.
    10. Tizheng Li & Xiaojuan Kang, 2022. "Variable selection of higher-order partially linear spatial autoregressive model with a diverging number of parameters," Statistical Papers, Springer, vol. 63(1), pages 243-285, February.
    11. Luis Eduardo Sandoval, 2018. "Socio-economics characteristics and spatial persistence of homicides in Colombia, 2000-2010," Estudios de Economia, University of Chile, Department of Economics, vol. 45(1 Year 20), pages 51-77, June.
    12. Nicolas Debarsy & James Lesage, 2018. "Flexible dependence modeling using convex combinations of different types of connectivity structures," Post-Print halshs-03319303, HAL.
    13. Jakub Olejnik & Alicja Olejnik, 2017. "Improved asymptotic analysis of Gaussian QML estimators in spatial models," Lodz Economics Working Papers 9/2017, University of Lodz, Faculty of Economics and Sociology.
    14. Huang, Danyang & Wang, Feifei & Zhu, Xuening & Wang, Hansheng, 2020. "Two-mode network autoregressive model for large-scale networks," Journal of Econometrics, Elsevier, vol. 216(1), pages 203-219.
    15. Nicolas DEBARSY & Cem ERTUR, 2016. "Interaction matrix selection in spatial econometrics with an application to growth theory," LEO Working Papers / DR LEO 2172, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    16. William C. Horrace & Hyunseok Jung & Shane Sanders, 2022. "Network Competition and Team Chemistry in the NBA," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 35-49, January.
    17. Harald Badinger & Peter Egger, 2015. "Fixed Effects and Random Effects Estimation of Higher-order Spatial Autoregressive Models with Spatial Autoregressive and Heteroscedastic Disturbances," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(1), pages 11-35, March.
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    19. Debarsy, Nicolas & Ertur, Cem, 2019. "Interaction matrix selection in spatial autoregressive models with an application to growth theory," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 49-69.
    20. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2022. "Bayesian estimation of multivariate panel probits with higher‐order network interdependence and an application to firms' global market participation in Guangdong," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1356-1378, November.
    21. Liu, Xiaodong & Patacchini, Eleonora & Zenou, Yves, 2014. "Endogenous peer effects: local aggregate or local average?," Journal of Economic Behavior & Organization, Elsevier, vol. 103(C), pages 39-59.
    22. Bonaccolto, Giovanni & Caporin, Massimiliano & Panzica, Roberto Calogero, 2017. "Estimation and model-based combination of causality networks," SAFE Working Paper Series 165, Leibniz Institute for Financial Research SAFE.
    23. Kwok, Hon Ho, 2019. "Identification and estimation of linear social interaction models," Journal of Econometrics, Elsevier, vol. 210(2), pages 434-458.
    24. Michael D. Koenig & Xiaodong Liu & Yves Zenou, 2014. "R&D Networks: Theory, Empirics and Policy Implications," Discussion Papers 13-027, Stanford Institute for Economic Policy Research.
    25. Doğan, Osman & Taşpınar, Süleyman, 2014. "Spatial autoregressive models with unknown heteroskedasticity: A comparison of Bayesian and robust GMM approach," Regional Science and Urban Economics, Elsevier, vol. 45(C), pages 1-21.
    26. Horrace, William & Jung, Hyunseok & Presler, Jonathan & Schwartz, Amy Ellen, 2021. "What Makes a Classmate a Peer? Examining which peers matter in NYC elementary schools," Working Papers 21-4, Sinquefield Center for Applied Economic Research, Saint Louis University, revised 17 Jan 2022.
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    29. Cizek, P. & Jacobs, J.P.A.M. & Ligthart, J.E. & Vrijburg, H., 2011. "GMM Estimation of Fixed Effects Dynamic Panel Data Models with Spatial Lag and Spatial Errors (Replaced by CentER DP 2015-003)," Discussion Paper 2011-134, Tilburg University, Center for Economic Research.
    30. Sophie Béreau & Nicolas Debarsy & Cyrille Dossougoin & Jean-Yves Gnabo, 2022. "Contagion in the Banking Industry: a Robust-to-Endogeneity Analysis," Working Papers halshs-03513049, HAL.
    31. Shew Fan Liu & Zhenlin Yang, 2014. "Modified QML Estimation of Spatial Autoregressive Models with Unknown Heteroskedasticity and Nonnormality," Working Papers 14-2014, Singapore Management University, School of Economics.
    32. Gupta, Abhimanyu, 2019. "Estimation Of Spatial Autoregressions With Stochastic Weight Matrices," Econometric Theory, Cambridge University Press, vol. 35(2), pages 417-463, April.
    33. Nicolas Debarsy & Fei Jin & Lung-Fei Lee, 2015. "Large sample properties of the matrix exponential spatial specification with an application to FDI," Post-Print hal-00858174, HAL.
    34. Jinghua Lei & Jenny Ligthart & Mark Rider & Ruixin Wang, 2022. "Fiscal fragmentation and crime control: Is there an efficiency-equity tradeoff?," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(3), pages 751-787, June.
    35. Jinghua Lei & Jenny Ligthart (deceased) & Mark Rider & Ruixin Wang, 2018. "Fiscal Fragmentation and the Spatial Distribution of Crime in the United States," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1821, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    36. Lung-fei Lee & Jihai Yu, 2012. "The C(α)-type gradient test for spatial dependence in spatial autoregressive models," Letters in Spatial and Resource Sciences, Springer, vol. 5(3), pages 119-135, October.
    37. Patacchini, Eleonora & Rainone, Edoardo & Zenou, Yves, 2017. "Heterogeneous peer effects in education," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 190-227.
    38. Lee, Lung-fei & Yu, Jihai, 2014. "Efficient GMM estimation of spatial dynamic panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 180(2), pages 174-197.
    39. Harald Badinger & Peter Egger, 2013. "Estimation and testing of higher-order spatial autoregressive panel data error component models," Journal of Geographical Systems, Springer, vol. 15(4), pages 453-489, October.
    40. Feng, Xingdong & Li, Wenyu & Zhu, Qianqian, 2024. "Estimation and bootstrapping under spatiotemporal models with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 238(1).
    41. Osman Doğan, 2015. "Heteroskedasticity of Unknown Form in Spatial Autoregressive Models with a Moving Average Disturbance Term," Econometrics, MDPI, vol. 3(1), pages 1-27, February.
    42. Liu, Xiaodong & Saraiva, Paulo, 2015. "GMM estimation of SAR models with endogenous regressors," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 68-79.
    43. Qu, Xi & Lee, Lung-fei, 2015. "Estimating a spatial autoregressive model with an endogenous spatial weight matrix," Journal of Econometrics, Elsevier, vol. 184(2), pages 209-232.
    44. Jin, Fei & Lee, Lung-fei, 2019. "GEL estimation and tests of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 208(2), pages 585-612.
    45. Hsieh, Chih-Sheng & Lin, Xu, 2017. "Gender and racial peer effects with endogenous network formation," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 135-147.
    46. Osman Dogan, 2013. "Heteroskedasticity of Unknown Form in Spatial Autoregressive Models with Moving Average Disturbance Term," Working Papers 2, City University of New York Graduate Center, Ph.D. Program in Economics.
    47. Gong, Pu & Weng, Yingliang, 2016. "Value-at-Risk forecasts by a spatiotemporal model in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 173-191.
    48. eleonora patacchini & Yves Zenou & Xiaodong Liu, 2012. "Peer effects in education, sport and screen activities: local aggregate or local average?," 2012 Meeting Papers 1198, Society for Economic Dynamics.
    49. Moscone, Francesco & Tosetti, Elisa & Canepa, Alessandra, 2014. "Real estate market and financial stability in US metropolitan areas: A dynamic model with spatial effects," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 129-146.
    50. Cizek, P. & Jacobs, J. & Ligthart, J.E. & Vrijburg, H., 2015. "GMM Estimation of Fixed Effects Dynamic Panel Data Models with Spatial Lag and Spatial Errors (Revised version of CentER DP 2011-134)," Discussion Paper 2015-003, Tilburg University, Center for Economic Research.
    51. Matthias Koch, 2011. "Parameter spaces for stationary DGPs in spatial econometric modelling," ERSA conference papers ersa11p1147, European Regional Science Association.
    52. Zhenlin Yang, 2018. "Bootstrap LM tests for higher-order spatial effects in spatial linear regression models," Empirical Economics, Springer, vol. 55(1), pages 35-68, August.
    53. Fei Jin & Lung‐fei Lee & Kai Yang, 2024. "Best linear and quadratic moments for spatial econometric models with an application to spatial interdependence patterns of employment growth in US counties," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(4), pages 640-658, June.
    54. Liu, Xiaodong & Lee, Lung-fei, 2010. "GMM estimation of social interaction models with centrality," Journal of Econometrics, Elsevier, vol. 159(1), pages 99-115, November.
    55. Michele Costola & Matteo Iacopini & Casper Wichers, 2023. "Bayesian SAR model with stochastic volatility and multiple time-varying weights," Papers 2310.17473, arXiv.org.
    56. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar, 2022. "Dynamic Spatiotemporal ARCH Models," Papers 2202.13856, arXiv.org.
    57. Robert Garthoff & Philipp Otto, 2018. "Verfahren zur Überwachung räumlicher autoregressiver Prozesse mit externen Regressoren [Statistical surveillance of spatial autoregressive processes with exogenous regressors]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 12(2), pages 107-133, September.
    58. Rossi, Francesca & Lieberman, Offer, 2023. "Spatial autoregressions with an extended parameter space and similarity-based weights," Journal of Econometrics, Elsevier, vol. 235(2), pages 1770-1798.
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    Cited by:

    1. Dasgupta, Susmita & Hossain, Md. Moqbul & Huq, Mainul & Wheeler, David, 2018. "Climate Change, Salinization and High-Yield Rice Production in Coastal Bangladesh," Agricultural and Resource Economics Review, Cambridge University Press, vol. 47(1), pages 66-89, April.
    2. Nagayasu, Jun, 2014. "Regional inflation, spatial location and the Balassa-Samuelson effect," MPRA Paper 59220, University Library of Munich, Germany.
    3. Edo, Samson & Osadolor, Nneka Esther & Dading, Isuwa Festus, 2020. "Growing external debt and declining export: The concurrent impediments in economic growth of Sub-Saharan African countries," International Economics, Elsevier, vol. 161(C), pages 173-187.
    4. Liqian Cai & Arnab Bhattacharjee & Roger Calantone & Taps Maiti, 2019. "Variable Selection with Spatially Autoregressive Errors: A Generalized Moments LASSO Estimator," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 81(1), pages 146-200, September.
    5. Grenestam, Erik & Nordin, Martin, 2018. "Estimating the impact of agri-environmental payments on nutrient runoff using a unique combination of data," Land Use Policy, Elsevier, vol. 75(C), pages 388-398.
    6. Ertur, C. & Musolesi, A., 2013. "Weak and strong cross-sectional dependence: a panel data analysis of international technology diffusion," Working Papers 2013-09, Grenoble Applied Economics Laboratory (GAEL).
    7. Nicolas Debarsy & Jean-Yves Gnabo & Malik Kerkour, 2017. "Sovereign Wealth Funds’ cross-border investments: assessing the role of country-level drivers and spatial competition," Post-Print hal-01251243, HAL.
    8. Yang, Zhenlin, 2015. "A general method for third-order bias and variance corrections on a nonlinear estimator," Journal of Econometrics, Elsevier, vol. 186(1), pages 178-200.
    9. Hidalgo, Javier & Schafgans, Marcia, 2017. "Inference and testing breaks in large dynamic panels with strong cross sectional dependence," Journal of Econometrics, Elsevier, vol. 196(2), pages 259-274.
    10. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2019. "Estimation and inference for spatial models with heterogeneous coefficients: an application to U.S. house prices," CESifo Working Paper Series 7542, CESifo.
    11. Millo, Giovanni, 2014. "Maximum likelihood estimation of spatially and serially correlated panels with random effects," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 914-933.
    12. Aida, Takeshi, 2015. "Spatial vs. Social Network Effects in Risk Sharing," Working Papers 89, JICA Research Institute.
    13. Wozniak Marcin, 2020. "Forecasting the unemployment rate over districts with the use of distinct methods," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-20, April.
    14. Xu, Yuhong & Yang, Zhenlin, 2020. "Specification Tests for Temporal Heterogeneity in Spatial Panel Data Models with Fixed Effects," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    15. Esposito, Piero & Patriarca, Fabrizio & Salvati, Luca, 2018. "Tertiarization and land use change: The case of Italy," Economic Modelling, Elsevier, vol. 71(C), pages 80-86.
    16. Adugna Lemi & Liyan Liu & Ian A. Wright, 2021. "Location choice determinants of Chinese and US firms in Africa: Does spatial interdependence play a role?," The World Economy, Wiley Blackwell, vol. 44(10), pages 2966-2997, October.
    17. Askarov, Zohid & Doucouliagos, Hristos, 2015. "Spatial aid spillovers during transition," European Journal of Political Economy, Elsevier, vol. 40(PA), pages 79-95.
    18. Atems, Bebonchu, 2013. "The spatial dynamics of growth and inequality: Evidence using U.S. county-level data," Economics Letters, Elsevier, vol. 118(1), pages 19-22.
    19. Hongwei Xiao & Zhongyu Ma & Peng Zhang & Ming Liu, 2019. "Study of the impact of energy consumption structure on carbon emission intensity in China from the perspective of spatial effects," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1365-1380, December.
    20. Pesaran, M. Hashem & Tosetti, Elisa, 2007. "Large Panels with Common Factors and Spatial Correlations," IZA Discussion Papers 3032, Institute of Labor Economics (IZA).
    21. Cajas-Guijarro, John & Pérez-Almeida, Bryan, 2021. "Comercio, sobreexplotación laboral y ciclos en la periferia: una propuesta teórica y el caso ecuatoriano desde un modelo PVAR. || Trade, super-exploitation of labor power and cycles in the periphery: ," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 31(1), pages 161-197, June.
    22. Tong, Tingting & Yu, Tun-Hsiang Edward & Cho, Seong-Hoon & Jensen, Kimberly & De La Torre Ugarte, Daniel, 2013. "Evaluating the spatial spillover effects of transportation infrastructure on agricultural output across the United States," Journal of Transport Geography, Elsevier, vol. 30(C), pages 47-55.
    23. Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2011. "Estimating and Forecasting with a Dynamic Spatial Panel Data Model," SERC Discussion Papers 0095, Centre for Economic Performance, LSE.
    24. Tan, Xiujie & Yan, Yaxue & Dong, Yuyang, 2022. "Peer effect in green credit induced green innovation: An empirical study from China's Green Credit Guidelines," Resources Policy, Elsevier, vol. 76(C).
    25. Víctor Hugo Torres-Preciado & Mayrén Polanco-Gaytán & Miguel A. Tinoco-Zermeño, 2017. "Crime and regional economic growth in Mexico: A spatial perspective," Papers in Regional Science, Wiley Blackwell, vol. 96(3), pages 477-494, August.
    26. Zhonghua Cheng & Xiaowen Hu, 2023. "The effects of urbanization and urban sprawl on CO2 emissions in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1792-1808, February.
    27. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2015. "Quasi Maximum Likelihood Estimation of Spatial Models with Heterogeneous Coefficients," Working Papers 749, Queen Mary University of London, School of Economics and Finance.
    28. Javier Hidalgo & Marcia M Schafgans, 2015. "Inference and Testing Breaks in Large Dynamic Panels with Strong Cross Sectional Dependence," STICERD - Econometrics Paper Series /2015/583, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    29. Badi H. Baltagi & Alain Pirotte & Zhenlin Yang, 2021. "Diagnostic tests for homoskedasticity in spatial cross-sectional or panel models," Post-Print hal-04120461, HAL.
    30. Maria Lucia Parrella & Giuseppina Albano & Cira Perna & Michele La Rocca, 2021. "Bootstrap joint prediction regions for sequences of missing values in spatio-temporal datasets," Computational Statistics, Springer, vol. 36(4), pages 2917-2938, December.
    31. Takeshi Aida, 2020. "Revisiting suicide rate during wartime: Evidence from the Sri Lankan civil war," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-20, October.
    32. Bottasso, Anna & Conti, Maurizio & Ferrari, Claudio & Tei, Alessio, 2014. "Ports and regional development: A spatial analysis on a panel of European regions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 44-55.
    33. Michele Battisti & Ilpo Kauppinen & Britta Rude, 2022. "Twitter and Crime: The Effect of Social Movements on GenderBased Violence," ifo Working Paper Series 381, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    34. Özyurt, Selin & Mitze, Timo, 2012. "The Spatial Dimension of Trade- and FDI-driven Productivity Growth in Chinese Provinces – A Global Cointegration Approach," Ruhr Economic Papers 308, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    35. Wongsa-art, Pipat & Kim, Namhyun & Xia, Yingcun & Moscone, Francesco, 2024. "Varying coefficient panel data models and methods under correlated error components: Application to disparities in mental health services in England," Regional Science and Urban Economics, Elsevier, vol. 106(C).
    36. Brian Piper, 2014. "Factor-Specific Productivity," Working Papers 1401, Sam Houston State University, Department of Economics and International Business.
    37. Antonio Mihi-Ramirez & Elias Melchor-Ferrer & Yolanda Garcia-Rodriguez, 2022. "Why Do Regions Differ in Growth? The Productivity of the Eurozone and Its Contribution to the Added Value of Its European Neighbors," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    38. Shew Fan Liu & Zhenlin Yang, 2015. "Asymptotic Distribution and Finite Sample Bias Correction of QML Estimators for Spatial Error Dependence Model," Econometrics, MDPI, vol. 3(2), pages 1-36, May.
    39. Corinne Autant-Bernard, 2012. "Spatial Econometrics of Innovation: Recent Contributions and Research Perspectives," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(4), pages 403-419, December.
    40. J. Paul Elhorst & Marco Gross & Eugen Tereanu, 2021. "Cross‐Sectional Dependence And Spillovers In Space And Time: Where Spatial Econometrics And Global Var Models Meet," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 192-226, February.
    41. Mahmoudi, Parvin & MacDonald, Darla Hatton & Crossman, Neville D. & Summers, David M. & van der Hoek, John, 2013. "Space matters: the importance of amenity in planning metropolitan growth," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(01), pages 1-22.
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    6. Liu, Xiaodong & Patacchini, Eleonora & Zenou, Yves & Lee, Lung-Fei, 2012. "Criminal Networks: Who is the Key Player?," Climate Change and Sustainable Development 128707, Fondazione Eni Enrico Mattei (FEEM).
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    36. Carlos Medina & Jorge Andrés Tamayo & Christian Posso, 2013. "The Effect of Adult Criminals’ Spillovers On the Likelihood of Youths Becoming Criminals," Borradores de Economia 755, Banco de la Republica de Colombia.
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    38. William C. Horrace & Hyunseok Jung & Shane Sanders, 2022. "Network Competition and Team Chemistry in the NBA," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 35-49, January.
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    1. Arrondel, Luc & Calvo-Pardo, Hector & Giannitsarou, Chryssi & Haliassos, Michael, 2022. "Informative social interactions," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 246-263.
    2. Gibbons, Steve & Overman, Henry G. & Patacchini, Eleonora, 2015. "Spatial Methods," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 115-168, Elsevier.
    3. Chicu, Mark & Masten, Matthew A., 2013. "A specification test for discrete choice models," Economics Letters, Elsevier, vol. 121(2), pages 336-339.
    4. Kojevnikov, Denis & Song, Kyungchul, 2023. "Econometric inference on a large Bayesian game with heterogeneous beliefs," Journal of Econometrics, Elsevier, vol. 237(1).
    5. Kojevnikov, Denis & Song, Kyungchul, 2023. "Econometric inference on a large bayesian game with heterogeneous beliefs," Other publications TiSEM aca0631e-4f8a-45c7-af3a-4, Tilburg University, School of Economics and Management.
    6. Aristide Houndetoungan, 2024. "Count Data Models with Heterogeneous Peer Effects under Rational Expectations," Papers 2405.17290, arXiv.org.
    7. Sadat Reza & Puneet Manchanda & Juin-Kuan Chong, 2021. "Identification and Estimation of Endogenous Peer Effects Using Partial Network Data from Multiple Reference Groups," Management Science, INFORMS, vol. 67(8), pages 5070-5105, August.
    8. Pamela Giustinelli, 2011. "Group Decision Making with Uncertain Outcomes: Unpacking Child-Parent Choices of High School Tracks," Working Papers 2011-030, Human Capital and Economic Opportunity Working Group.
    9. Julio Pombo-Romero & Luis Varela & Carlos Ricoy, 2013. "Diffusion of innovations in social interaction systems. An agent-based model for the introduction of new drugs in markets," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(3), pages 443-455, June.
    10. Qingyan Shang, 2014. "Endogenous neighborhood effects on welfare participation," Empirical Economics, Springer, vol. 47(2), pages 639-667, September.
    11. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
    12. Maness, Michael & Cirillo, Cinzia & Dugundji, Elenna R., 2015. "Generalized behavioral framework for choice models of social influence: Behavioral and data concerns in travel behavior," Journal of Transport Geography, Elsevier, vol. 46(C), pages 137-150.

  65. Lung-Fei Lee & Jihai Yu, 2009. "Spatial Nonstationarity and Spurious Regression: the Case with a Row-normalized Spatial Weights Matrix," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(3), pages 301-327.

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    1. Zhu, Xuening & Wang, Weining & Wang, Hansheng & Härdle, Wolfgang Karl, 2019. "Network quantile autoregression," Journal of Econometrics, Elsevier, vol. 212(1), pages 345-358.
    2. Baltagi, Badi H. & Liu, Long, 2010. "Spurious spatial regression with equal weights," Statistics & Probability Letters, Elsevier, vol. 80(21-22), pages 1640-1642, November.
    3. Ulrich K. Müller & Mark W. Watson, 2024. "Spatial Unit Roots and Spurious Regression," Econometrica, Econometric Society, vol. 92(5), pages 1661-1695, September.
    4. B. Fingleton & P. Cheshire & H. Garretsen & D. Igliori & J. Le Gallo & P. McCann & J. McCombie & V. Monastiriotis & B. Moore & M. Roberts, 2009. "Editorial," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(3), pages 243-248.
    5. Martellosio, Federico, 2011. "Efficiency of the OLS estimator in the vicinity of a spatial unit root," Statistics & Probability Letters, Elsevier, vol. 81(8), pages 1285-1291, August.
    6. Jean Dubé & Diègo Legros, 2013. "Dealing with spatial data pooled over time in statistical models," Letters in Spatial and Resource Sciences, Springer, vol. 6(1), pages 1-18, March.
    7. Insu Hong & Changsok Yoo, 2020. "Analyzing Spatial Variance of Airbnb Pricing Determinants Using Multiscale GWR Approach," Sustainability, MDPI, vol. 12(11), pages 1-18, June.
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  70. Wei Zhang & Lung-fei Lee, 2004. "Simulation estimation of dynamic discrete choice panel models with accelerated importance samplers," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 120-142, June.

    Cited by:

    1. Ziegler, Andreas & Schröder, Michael, 2010. "What determines the inclusion in a sustainability stock index?: A panel data analysis for european firms," Ecological Economics, Elsevier, vol. 69(4), pages 848-856, February.
    2. Ziegler, Andreas & Schröder, Michael, 2006. "What Determines the Inclusion in a Sustainability Stock Index? A Panel Data Analysis for European Companies," ZEW Discussion Papers 06-041, ZEW - Leibniz Centre for European Economic Research.
    3. Andreas Ziegler, 2007. "Simulated classical tests in multinomial probit models," Statistical Papers, Springer, vol. 48(4), pages 655-681, October.
    4. Moura, Guilherme V. & Richard, Jean-François & Liesenfeld, Roman, 2007. "Dynamic Panel Probit Models for Current Account Reversals and their Efficient Estimation," Economics Working Papers 2007-11, Christian-Albrechts-University of Kiel, Department of Economics.
    5. Pastorello, S. & Rossi, E., 2010. "Efficient importance sampling maximum likelihood estimation of stochastic differential equations," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2753-2762, November.
    6. Kamhon Kan & Chihwa Kao, 2005. "Simulation-Based Two-Step Estimation with Endogenous Regressors," Center for Policy Research Working Papers 76, Center for Policy Research, Maxwell School, Syracuse University.
    7. Ziegler Andreas, 2010. "Z-Tests in Multinomial Probit Models under Simulated Maximum Likelihood Estimation: Some Small Sample Properties," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(5), pages 630-652, October.

  71. Lung-Fei Lee, 2004. "Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models," Econometrica, Econometric Society, vol. 72(6), pages 1899-1925, November.

    Cited by:

    1. Jenish, Nazgul, 2012. "Nonparametric spatial regression under near-epoch dependence," Journal of Econometrics, Elsevier, vol. 167(1), pages 224-239.
    2. Peng Wang & Xiaoyan Lin & Dajun Dai, 2017. "Spatiotemporal Agglomeration of Real-Estate Industry in Guangzhou, China," Sustainability, MDPI, vol. 9(8), pages 1-15, August.
    3. Prof. Dr. Walter Krämer & Dr. Christoph Hanck, "undated". "OLS-based estimation of the disturbance variance under spatial autocorrelation," Working Papers 7, Business and Social Statistics Department, Technische Universität Dortmund, revised Oct 2006.
    4. Xu, Xiu & Wang, Weining & Shin, Yongcheol, 2020. "Dynamic Spatial Network Quantile Autoregression," IRTG 1792 Discussion Papers 2020-024, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    5. Edo, Samson & Osadolor, Nneka Esther & Dading, Isuwa Festus, 2020. "Growing external debt and declining export: The concurrent impediments in economic growth of Sub-Saharan African countries," International Economics, Elsevier, vol. 161(C), pages 173-187.
    6. Luís Silveira Santos & Isabel Proença, 2017. "The Inversion of the Spatial Lag Operator in Binary Choice Models: Fast Computation and a Closed Formula Approximation," Working Papers REM 2017/11, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    7. Liqian Cai & Arnab Bhattacharjee & Roger Calantone & Taps Maiti, 2019. "Variable Selection with Spatially Autoregressive Errors: A Generalized Moments LASSO Estimator," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 81(1), pages 146-200, September.
    8. Zhenlin Yang, 2006. "On Joint Modelling and Testing for Local and Global Spatial Externalities," Working Papers 25-2006, Singapore Management University, School of Economics.
    9. Ertur, C. & Musolesi, A., 2013. "Weak and strong cross-sectional dependence: a panel data analysis of international technology diffusion," Working Papers 2013-09, Grenoble Applied Economics Laboratory (GAEL).
    10. Zhengyu Zhang & Pingfang Zhu, 2010. "A More Efficient Best Spatial Three-stage Least Squares Estimator for Spatial Autoregressive Models," Annals of Economics and Finance, Society for AEF, vol. 11(1), pages 155-184, May.
    11. Sandy Fréret & Denis Maguain, 2017. "The effects of agglomeration on tax competition: evidence from a two-regime spatial panel model on French data," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(6), pages 1100-1140, December.
    12. Yang, Zhenlin, 2015. "A general method for third-order bias and variance corrections on a nonlinear estimator," Journal of Econometrics, Elsevier, vol. 186(1), pages 178-200.
    13. Hidalgo, Javier & Schafgans, Marcia, 2017. "Inference and testing breaks in large dynamic panels with strong cross sectional dependence," Journal of Econometrics, Elsevier, vol. 196(2), pages 259-274.
    14. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2019. "Estimation and inference for spatial models with heterogeneous coefficients: an application to U.S. house prices," CESifo Working Paper Series 7542, CESifo.
    15. Yong Bao & Xiaotian Liu & Lihong Yang, 2020. "Indirect Inference Estimation of Spatial Autoregressions," Econometrics, MDPI, vol. 8(3), pages 1-26, September.
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    17. Vicente Rios Ibañez, 2014. "What drives regional unemployment convergence?," ERSA conference papers ersa14p924, European Regional Science Association.
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    21. Adugna Lemi & Liyan Liu & Ian A. Wright, 2021. "Location choice determinants of Chinese and US firms in Africa: Does spatial interdependence play a role?," The World Economy, Wiley Blackwell, vol. 44(10), pages 2966-2997, October.
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    24. Gupta, A & Robinson, PM, 2015. "Pseudo Maximum Likelihood Estimation of Spatial Autoregressive Models with Increasing Dimension," Economics Discussion Papers 22698, University of Essex, Department of Economics.
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    26. Pesaran, M. Hashem & Tosetti, Elisa, 2007. "Large Panels with Common Factors and Spatial Correlations," IZA Discussion Papers 3032, Institute of Labor Economics (IZA).
    27. Zhenlin Yang, 2009. "A Robust LM Test for Spatial Error Components," Working Papers 04-2009, Singapore Management University, School of Economics.
    28. Christoph Strumann, 2019. "Hodges–Lehmann Estimation of Static Panel Models with Spatially Correlated Disturbances," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 141-168, January.
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    30. Egger, Peter & Larch, Mario & Pfaffermayr, Michael & Walde, Janette, 2009. "Small sample properties of maximum likelihood versus generalized method of moments based tests for spatially autocorrelated errors," Regional Science and Urban Economics, Elsevier, vol. 39(6), pages 670-678, November.
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    32. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2015. "Quasi Maximum Likelihood Estimation of Spatial Models with Heterogeneous Coefficients," Working Papers 749, Queen Mary University of London, School of Economics and Finance.
    33. Javier Hidalgo & Marcia M Schafgans, 2015. "Inference and Testing Breaks in Large Dynamic Panels with Strong Cross Sectional Dependence," STICERD - Econometrics Paper Series /2015/583, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
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    35. Timothy G. Conley & Nirav Mehta & Ralph Stinebrickner & Todd Stinebrickner, 2024. "Social Interactions, Mechanisms, and Equilibrium: Evidence from a Model of Study Time and Academic Achievement," Journal of Political Economy, University of Chicago Press, vol. 132(3), pages 824-866.
    36. Mao, Guangyu & Shen, Yan, 2019. "Bubbles or fundamentals? Modeling provincial house prices in China allowing for cross-sectional dependence," China Economic Review, Elsevier, vol. 53(C), pages 53-64.
    37. Deeken, Tim, 2015. "Knowledge spillovers: On the impact of genetic distance and data revisions," Working Paper Series in Economics 74, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    38. Sebastian Langer, 2019. "Expenditure interactions between municipalities and the role of agglomeration forces: a spatial analysis for North Rhine-Westphalia," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(3), pages 497-527, June.
    39. Firgo, Matthias & Pennerstorfer, Dieter & Weiss, Christoph R., 2015. "Centrality and pricing in spatially differentiated markets: The case of gasoline," International Journal of Industrial Organization, Elsevier, vol. 40(C), pages 81-90.
    40. Robinson, Peter M. & Rossi, Francesca, 2014. "Improved Lagrange multiplier tests in spatial autoregressions," LSE Research Online Documents on Economics 56049, London School of Economics and Political Science, LSE Library.
    41. Nicolas Debarsy & Cyrille Dossougoin & Cem Ertur & Jean-Yves Gnabo, 2018. "Measuring sovereign risk spillovers and assessing the role of transmission channels: A spatial econometrics approach," Post-Print hal-01744629, HAL.
    42. Wongsa-art, Pipat & Kim, Namhyun & Xia, Yingcun & Moscone, Francesco, 2024. "Varying coefficient panel data models and methods under correlated error components: Application to disparities in mental health services in England," Regional Science and Urban Economics, Elsevier, vol. 106(C).
    43. Iglesias, Emma M. & Phillips, Garry D.A., 2008. "Asymptotic bias of GMM and GEL under possible nonstationary spatial dependence," Economics Letters, Elsevier, vol. 99(2), pages 393-397, May.
    44. Gibbons, Steve & Overman, Henry G. & Patacchini, Eleonora, 2015. "Spatial Methods," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 115-168, Elsevier.
    45. Aureo de Paula & Imran Rasul & Pedro Souza, 2019. "Identifying Network Ties from Panel Data: Theory and an Application to Tax Competition," Papers 1910.07452, arXiv.org, revised Oct 2023.
    46. Shew Fan Liu & Zhenlin Yang, 2015. "Asymptotic Distribution and Finite Sample Bias Correction of QML Estimators for Spatial Error Dependence Model," Econometrics, MDPI, vol. 3(2), pages 1-36, May.
    47. M.A.C. Kattenberg & W.H.J. Hassink, 2015. "Does social housing hinder the development of a high-skilled labor force?," Working Papers 15-11, Utrecht School of Economics.
    48. Timothy Conley & Francesca Molinari, 2005. "Spatial correlation robust inference with Errors in Location or Distance," CeMMAP working papers CWP10/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    49. Fei Jin & Lung-fei Lee, 2013. "Generalized Spatial Two Stage Least Squares Estimation of Spatial Autoregressive Models with Autoregressive Disturbances in the Presence of Endogenous Regressors and Many Instruments," Econometrics, MDPI, vol. 1(1), pages 1-44, May.
    50. Mustafa Koroglu & Yiguo Sun, 2016. "Functional-Coefficient Spatial Durbin Models with Nonparametric Spatial Weights: An Application to Economic Growth," Econometrics, MDPI, vol. 4(1), pages 1-16, February.
    51. Katharina Schone & Wilfried Koch & Catherine Baumont, 2013. "Modeling local growth control decisions in a multi-city case: Do spatial interactions and lobbying efforts matter?," Public Choice, Springer, vol. 154(1), pages 95-117, January.
    52. Gupta, A, 2015. "Autoregressive Spatial Spectral Estimates," Economics Discussion Papers 23825, University of Essex, Department of Economics.
    53. Zhenlin Yang, 2013. "LM Tests of Spatial Dependence Based on Bootstrap Critical Values," Working Papers 03-2013, Singapore Management University, School of Economics.
    54. Jiaxuan Liang & Yi Cheng & Yuqi Su & Shuyue Xiao & Yunquan Song, 2022. "Variable Selection for Spatial Logistic Autoregressive Models," Mathematics, MDPI, vol. 10(17), pages 1-16, August.
    55. Badi H. Baltagi & Peter Egger & Michael Pfaffermayr, 2013. "A Generalized Spatial Panel Data Model with Random Effects," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 650-685, August.
    56. Bhattacharjee, Arnab & Jensen-Butler, Chris, 2011. "Estimation of the Spatial Weights Matrix under Structural Constraints," SIRE Discussion Papers 2011-48, Scottish Institute for Research in Economics (SIRE).
    57. Federico Martellosio, 2020. "Non-Identifiability in Network Autoregressions," Papers 2011.11084, arXiv.org, revised Jun 2022.
    58. Ashani Amarasinghe & Roland Hodler & Paul A. Raschky & Yves Zenou, 2018. "Spatial Diffusion of Economic Shocks in Networks," CESifo Working Paper Series 7001, CESifo.
    59. Zhongbo Jing & J. Paul Elhorst & Jan P. A. M. Jacobs & Jakob Haan, 2018. "The propagation of financial turbulence: interdependence, spillovers, and direct and indirect effects," Empirical Economics, Springer, vol. 55(1), pages 169-192, August.
    60. Robinson, Peter & Rossi, Francesca, 2015. "Refinements in maximum likelihood inference on spatial autocorrelation in panel data," LSE Research Online Documents on Economics 61432, London School of Economics and Political Science, LSE Library.
    61. Mohamed-Salem Ahmed & Lionel Cucala & Michaël Genin, 2021. "Spatial autoregressive models for scan statistic," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-20, December.
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    64. Nikolas Kuschnig, 2021. "Bayesian Spatial Econometrics and the Need for Software," Department of Economics Working Papers wuwp318, Vienna University of Economics and Business, Department of Economics.
    65. Alex Centeno, 2022. "A Structural Model for Detecting Communities in Networks," Papers 2209.08380, arXiv.org, revised Oct 2022.
    66. Goldmann, Kathrin & Wessel, Jan, 2020. "TEN-T corridors – Stairway to heaven or highway to hell?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 240-258.
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    120. Danyang Huang & Ziyi Kong & Shuyuan Wu & Hansheng Wang, 2024. "Privacy-Protected Spatial Autoregressive Model," Papers 2403.16773, arXiv.org, revised Jul 2024.
    121. Shi, Wei & Lee, Lung-fei, 2018. "A spatial panel data model with time varying endogenous weights matrices and common factors," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 6-34.
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    Cited by:

    1. Zhenlin Yang, 2006. "On Joint Modelling and Testing for Local and Global Spatial Externalities," Working Papers 25-2006, Singapore Management University, School of Economics.
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    3. Asgharian, Hossein & Hess, Wolfgang & Liu, Lu, 2013. "A spatial analysis of international stock market linkages," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4738-4754.
    4. Yong Bao & Xiaotian Liu & Lihong Yang, 2020. "Indirect Inference Estimation of Spatial Autoregressions," Econometrics, MDPI, vol. 8(3), pages 1-26, September.
    5. Gupta, Abhimanyu & Robinson, Peter M., 2015. "Inference on higher-order spatial autoregressive models with increasingly many parameters," Journal of Econometrics, Elsevier, vol. 186(1), pages 19-31.
    6. Xu, Yuhong & Yang, Zhenlin, 2020. "Specification Tests for Temporal Heterogeneity in Spatial Panel Data Models with Fixed Effects," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    7. Robinson, Peter M. & Rossi, Francesca, 2012. "Improved tests for spatial correlation," MPRA Paper 41835, University Library of Munich, Germany.
    8. Gupta, A & Robinson, PM, 2015. "Pseudo Maximum Likelihood Estimation of Spatial Autoregressive Models with Increasing Dimension," Economics Discussion Papers 22698, University of Essex, Department of Economics.
    9. Zhenlin Yang & Liangjun Su, 2007. "Instrumental Variable Quantile Estimation of Spatial Autoregressive Models," Working Papers 05-2007, Singapore Management University, School of Economics.
    10. Pesaran, M. Hashem & Tosetti, Elisa, 2007. "Large Panels with Common Factors and Spatial Correlations," IZA Discussion Papers 3032, Institute of Labor Economics (IZA).
    11. F. Moscone & E. Tosetti, 2010. "Health expenditure and income in the United States," Health Economics, John Wiley & Sons, Ltd., vol. 19(12), pages 1385-1403, December.
    12. Zhenlin Yang, 2009. "A Robust LM Test for Spatial Error Components," Working Papers 04-2009, Singapore Management University, School of Economics.
    13. Badi H. Baltagi & Alain Pirotte & Zhenlin Yang, 2021. "Diagnostic tests for homoskedasticity in spatial cross-sectional or panel models," Post-Print hal-04120461, HAL.
    14. Liu, Xiaodong & Patacchini, Eleonora & Zenou, Yves & Lee, Lung-Fei, 2012. "Criminal Networks: Who is the Key Player?," Climate Change and Sustainable Development 128707, Fondazione Eni Enrico Mattei (FEEM).
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    22. FUJII Daisuke, 2016. "Shock Propagations in Granular Networks," Discussion papers 16057, Research Institute of Economy, Trade and Industry (RIETI).
    23. Badi H. Baltagi, 2006. "Random effects and Spatial Autocorrelations with Equal Weights," Center for Policy Research Working Papers 89, Center for Policy Research, Maxwell School, Syracuse University.
    24. Robinson, Peter M. & Rossi, Francesca, 2015. "Refined Tests For Spatial Correlation," Econometric Theory, Cambridge University Press, vol. 31(6), pages 1249-1280, December.
    25. Robinson, Peter M., 2007. "Efficient estimation of the semiparametric spatial autoregressive model," LSE Research Online Documents on Economics 4535, London School of Economics and Political Science, LSE Library.
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    28. Pede, Valerien O. & Florax, Raymond J.G.M. & Lambert, Dayton M., 2014. "Spatial econometric STAR models: Lagrange multiplier tests, Monte Carlo simulations and an empirical application," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 118-128.
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    38. Kaixing Huang, 2016. "The Economic Impacts of Global Warming on US Agriculture: the Role of Adaptation," School of Economics and Public Policy Working Papers 2016-03, University of Adelaide, School of Economics and Public Policy.
    39. Abhimanyu Gupta & Jungyoon Lee & Francesca Rossi, 2024. "Testing linearity of spatial interaction functions \`a la Ramsey," Papers 2412.14778, arXiv.org.
    40. Mynbaev, Kairat, 2006. "Asymptotic Distribution of the OLS Estimator for a Mixed Regressive, Spatial Autoregressive Model," MPRA Paper 4411, University Library of Munich, Germany.
    41. Trzpiot Grażyna & Orwat-Acedańska Agnieszka, 2016. "Spatial Quantile Regression In Analysis Of Healthy Life Years In The European Union Countries," Comparative Economic Research, Sciendo, vol. 19(5), pages 179-199, December.
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    45. Peter Robinson, 2006. "Efficient estimation of the semiparametric spatial autoregressive model," CeMMAP working papers CWP08/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    46. Baltagi, Badi H. & Liu, Long, 2010. "Spurious spatial regression with equal weights," Statistics & Probability Letters, Elsevier, vol. 80(21-22), pages 1640-1642, November.
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    49. Hujer Reinhard & Rodrigues Paulo J. M. & Wolf Katja, 2008. "Dynamic Panel Data Models with Spatial Correlation," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(5-6), pages 612-629, October.
    50. Patacchini, Eleonora & Rainone, Edoardo & Zenou, Yves, 2011. "Dynamic Aspects of Teenage Friendships and Educational Attainment," Research Papers in Economics 2011:4, Stockholm University, Department of Economics.
    51. Michaelides, Alexander & Kokas, Sotirios & Gupta, Abhimanyu, 2017. "Credit Market Spillovers: Evidence from a Syndicated Loan Market Network," CEPR Discussion Papers 12424, C.E.P.R. Discussion Papers.
    52. Kaixing Huang & Nicholas Sim, 2021. "Adaptation May Reduce Climate Damage in Agriculture by Two Thirds," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 47-71, February.
    53. Gupta, Abhimanyu, 2019. "Estimation Of Spatial Autoregressions With Stochastic Weight Matrices," Econometric Theory, Cambridge University Press, vol. 35(2), pages 417-463, April.
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    57. Badi H. Baltagi & Qu Feng & Chihwa Kao, 2015. "Estimation of Heterogeneous Panels with Structural Breaks," Center for Policy Research Working Papers 179, Center for Policy Research, Maxwell School, Syracuse University.
    58. Zenou, Yves & Patacchini, Eleonora & Liu, Xiaodong, 2013. "Peer Effects: Social Multiplier or Social Norms?," CEPR Discussion Papers 9366, C.E.P.R. Discussion Papers.
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    83. Robinson, Peter, 2008. "Correlation testing in time series, spatial and cross-sectional data," LSE Research Online Documents on Economics 25470, London School of Economics and Political Science, LSE Library.
    84. Bao, Yong, 2024. "Estimating spatial autoregressions under heteroskedasticity without searching for instruments," Regional Science and Urban Economics, Elsevier, vol. 106(C).
    85. Jungyoon Lee & Peter C.B. Phillips & Francesca Rossi, 2020. "Consistent Misspecification Testing in Spatial Autoregressive Models," Cowles Foundation Discussion Papers 2256, Cowles Foundation for Research in Economics, Yale University.
    86. Lee, Jungyoon & Robinson, Peter M., 2013. "Series estimation under cross-sectional dependence," LSE Research Online Documents on Economics 58188, London School of Economics and Political Science, LSE Library.
    87. Osarumwense Osabuohien-Irabor & Igor Mikhailovich Drapkin, 2022. "The Impact of Technological Innovation on Energy Consumption in OECD Economies: the role of Outward Foreign Direct Investment and International Trade Openness," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 317-333, July.
    88. Ryan Greenaway-McGrevy & Kade Sorensen, 2021. "A spatial model averaging approach to measuring house prices," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-32, December.
    89. Kelejian, Harry H. & Prucha, Ingmar R., 2004. "Estimation of simultaneous systems of spatially interrelated cross sectional equations," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 27-50.
    90. Sida Peng, 2019. "Heterogeneous Endogenous Effects in Networks," Papers 1908.00663, arXiv.org.
    91. Andreas A. Andrikopoulos & Dimitrios C. Gkountanis, 2011. "Issues and Models in Applied Econometrics: A partial survey," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 9(2), pages 107-165.
    92. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    93. Jesús Mur & Fernando López & Ana Angulo, 2009. "Testing the hypothesis of stability in spatial econometric models," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 409-444, June.
    94. Zenou, Yves & Patacchini, Eleonora & Rainone, Edoardo, 2012. "Student Networks and Long-Run Educational Outcomes: The Strength of Strong Ties," CEPR Discussion Papers 9149, C.E.P.R. Discussion Papers.
    95. Emre Tepe, 2024. "A random forests-based hedonic price model accounting for spatial autocorrelation," Journal of Geographical Systems, Springer, vol. 26(4), pages 511-540, October.
    96. Frederik König, 2014. "Reciprocal social influence on investment decisions: behavioral evidence from a group of mutual fund managers," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(3), pages 233-262, August.
    97. Jakub Olejnik & Alicja Olejnik, 2020. "QML estimation with non-summable weight matrices," Journal of Geographical Systems, Springer, vol. 22(4), pages 469-495, October.
    98. Kangogo, Moses & Volkov, Vladimir, 2021. "Dynamic effects of network exposure on equity markets," Working Papers 2021-03, University of Tasmania, Tasmanian School of Business and Economics.
    99. Kapoor, Mudit & Kelejian, Harry H. & Prucha, Ingmar R., 2007. "Panel data models with spatially correlated error components," Journal of Econometrics, Elsevier, vol. 140(1), pages 97-130, September.
    100. Zhao, Jiayang & Liu, Jie & Su, Yuting, 2024. "Consistent two-stage estimation in heterogeneous network autoregressive model," Statistics & Probability Letters, Elsevier, vol. 212(C).
    101. Zhenlin Yang, 2021. "Joint tests for dynamic and spatial effects in short panels with fixed effects and heteroskedasticity," Empirical Economics, Springer, vol. 60(1), pages 51-92, January.
    102. Elhorst, J. Paul & Lacombe, Donald J. & Piras, Gianfranco, 2012. "On model specification and parameter space definitions in higher order spatial econometric models," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 211-220.
    103. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    104. Peter M Robinson, 2007. "Efficient Estimation of the SemiparametricSpatial Autoregressive Model," STICERD - Econometrics Paper Series 515, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    105. Ciccarelli, Carlo & Elhorst, J.Paul, 2018. "A dynamic spatial econometric diffusion model with common factors: The rise and spread of cigarette consumption in Italy," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 131-142.
    106. Nistor, Adela P., 2007. "Implications of Human Capital Public Investments for Regional Unemployment in Indiana," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 37(3), pages 1-8.
    107. Karamysheva, Madina & Seregina, Ekaterina, 2022. "Prudential policies and systemic risk: The role of interconnections," Journal of International Money and Finance, Elsevier, vol. 127(C).
    108. Jungyoon Lee & Peter M Robinson, 2013. "Series Estimation under Cross-sectional Dependence," STICERD - Econometrics Paper Series 570, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    109. Kripfganz, Sebastian, 2014. "Unconditional Transformed Likelihood Estimation of Time-Space Dynamic Panel Data Models," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100604, Verein für Socialpolitik / German Economic Association.
    110. Francesca Rossi & Peter M. Robinson, 2020. "Higher-Order Least Squares Inference for Spatial Autoregressions," Working Papers 04/2020, University of Verona, Department of Economics.
    111. Baltagi, Badi H. & Liu, Long, 2009. "Spatial lag test with equal weights," Economics Letters, Elsevier, vol. 104(2), pages 81-82, August.
    112. Robinson, P.M., 2008. "Correlation testing in time series, spatial and cross-sectional data," Journal of Econometrics, Elsevier, vol. 147(1), pages 5-16, November.
    113. Malabika Koley & Anil K. Bera, 2022. "Testing for spatial dependence in a spatial autoregressive (SAR) model in the presence of endogenous regressors," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-46, December.
    114. Mynbaev, Kairat & Ullah, Aman, 2006. "A Remark on the Asymptotic Distribution of the OLS Estimator for a Purely Autoregressive Spatial Model," MPRA Paper 3318, University Library of Munich, Germany.
    115. Badi H. Baltagi & Junjie Shu, 2024. "A Survey of Spatial Unit Roots," Mathematics, MDPI, vol. 12(7), pages 1-32, March.
    116. Soutir Bandyopadhyay & Arnab Maity, 2018. "Asymptotic theory for varying coefficient regression models with dependent data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 70(4), pages 745-759, August.
    117. Carlo Grillenzoni, 2024. "Forecasting Lattice and Point Spatial Data: Comparison of Unilateral and Multilateral SAR Models," Forecasting, MDPI, vol. 6(3), pages 1-18, August.
    118. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    119. Fanning, Jasper & Marsh, Thomas L., 2005. "Spatial Hedonic Analysis Of Veterinarian Income," 2005 Annual meeting, July 24-27, Providence, RI 19168, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    120. Jin, Fei & Lee, Lung-fei, 2012. "Approximated likelihood and root estimators for spatial interaction in spatial autoregressive models," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 446-458.
    121. Rogério Pereira & Tatiane Almeida de Menezes, 2021. "Does per capita income cause homicide rates? An application of an IV spatial model," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(4), pages 1388-1400, August.
    122. Ye Yang & Osman Dogan & Suleyman Taspinar & Fei Jin, 2023. "A Review of Cross-Sectional Matrix Exponential Spatial Models," Papers 2311.14813, arXiv.org.
    123. Eduardo A. Souza-Rodrigues, 2016. "Nonparametric Regression with Common Shocks," Econometrics, MDPI, vol. 4(3), pages 1-17, September.
    124. Feng, Qu & Wu, Guiying Laura & Yuan, Mengying & Zhou, Shihao, 2022. "Save lives or save livelihoods? A cross-country analysis of COVID-19 pandemic and economic growth," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 221-256.
    125. Millimet, Daniel L. & Collier, Trevor, 2008. "Efficiency in public schools: Does competition matter?," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 134-157, July.
    126. Raymond J. G. M. Florax & Arno J. Van der Vlist, 2003. "Spatial Econometric Data Analysis: Moving Beyond Traditional Models," International Regional Science Review, , vol. 26(3), pages 223-243, July.
    127. Robinson, Peter, 2008. "Developments in the analysis of spatial data," LSE Research Online Documents on Economics 25473, London School of Economics and Political Science, LSE Library.

  74. Chihwa Kao & Lung-fei Lee & Mark M. Pitt, 2001. "Simulated Maximum Likelihood Estimation of the Linear Expenditure System with Binding Non-Negativity Constraints," Annals of Economics and Finance, Society for AEF, vol. 2(1), pages 215-235, May.
    See citations under working paper version above.
  75. Lee, Lung-fei, 2001. "On The Range Of Correlation Coefficients Of Bivariate Ordered Discrete Random Variables," Econometric Theory, Cambridge University Press, vol. 17(1), pages 247-256, February.

    Cited by:

    1. Faugeras Olivier P., 2017. "Inference for copula modeling of discrete data: a cautionary tale and some facts," Dependence Modeling, De Gruyter, vol. 5(1), pages 121-132, January.
    2. Mothafer, Ghasak I.M.A. & Yamamoto, Toshiyuki & Shankar, Venkataraman N., 2018. "A multivariate heterogeneous-dispersion count model for asymmetric interdependent freeway crash types," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 84-105.

  76. Lee, Lung-fei, 2001. "Interpolation, Quadrature, And Stochastic Integration," Econometric Theory, Cambridge University Press, vol. 17(5), pages 933-961, October.

    Cited by:

    1. Dennis Kristensen & Bernard Salanie, 2013. "Higher-order properties of approximate estimators," CeMMAP working papers CWP45/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Dennis Kristensen & Bernard Salanié, 2010. "Higher Order Improvements for Approximate Estimators," CAM Working Papers 2010-04, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.

  77. Lee, Lung-fei, 2000. "A numerically stable quadrature procedure for the one-factor random-component discrete choice model," Journal of Econometrics, Elsevier, vol. 95(1), pages 117-129, March.
    See citations under working paper version above.
  78. Lee, Lung-fei, 1999. "Estimation of dynamic and ARCH Tobit models," Journal of Econometrics, Elsevier, vol. 92(2), pages 355-390, October.

    Cited by:

    1. Sophocles Mavroeidis, 2021. "Identification at the Zero Lower Bound," Econometrica, Econometric Society, vol. 89(6), pages 2855-2885, November.
    2. Daniel Ordoñez-Callamand & Juan D. Hernandez-Leal & Mauricio Villamizar-Villegas, 2017. "When Multiple Objectives Meet Multiple Instruments: Identifying Simultaneous Monetary Shocks," Borradores de Economia 997, Banco de la Republica de Colombia.
    3. N. H. Chan & A. E. Brockwell, 2006. "Long-memory dynamic Tobit models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(5), pages 351-367.
    4. George Monokroussos, 2006. "Dynamic Limited Dependent Variable Modeling and U.S. Monetary Policy," Discussion Papers 06-02, University at Albany, SUNY, Department of Economics.
    5. Gabriele Fiorentini & Enrique Sentana & Neil Shephard, 2002. "Likelihood-Based Estimation of Latent Generalised ARCH Structures," Working Papers wp2002_0204, CEMFI.
    6. George Monokroussos, 2006. "A Dynamic Tobit Model for the Open Market Desk's Daily Reaction Function," Computing in Economics and Finance 2006 390, Society for Computational Economics.
    7. Chavas, Jean-Paul & Kim, Kwansoo, 2005. "An Econometric Analysis of Price Dynamics in the Presence of a Price Floor: The Case of American Cheese," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 37(1), pages 21-35, April.
    8. Diansheng Dong & Todd M. Schmit & Harry Kaiser, 2012. "Modelling household purchasing behaviour to analyse beneficial marketing strategies," Applied Economics, Taylor & Francis Journals, vol. 44(6), pages 717-725, February.
    9. Akay, Alpaslan, 2007. "Monte Carlo Investigation of the Initial Values Problem in Censored Dynamic Random-Effects Panel Data Models," Working Papers in Economics 278, University of Gothenburg, Department of Economics.
    10. George Monokroussos, 2009. "A Classical MCMC Approach to the Estimation of Limited Dependent Variable Models of Time Series," Discussion Papers 09-07, University at Albany, SUNY, Department of Economics.
    11. Islam, Nizamul, 2007. "A Dynamic Tobit Model of Female Labor Supply," Working Papers in Economics 259, University of Gothenburg, Department of Economics.
    12. Michael D. Grubb & Matthew Osborne, 2012. "Cellular Service Demand: Biased Beliefs, Learning, and Bill Shock," Boston College Working Papers in Economics 829, Boston College Department of Economics.
    13. Kim, Kwansoo & Chavas, Jean-Paul, 2002. "A Dynamic Analysis Of The Effects Of A Price Support Program On Price Dynamics And Price Volatility," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(2), pages 1-20, December.
    14. Harvey, Andew & Liao, Yin, 2023. "Dynamic Tobit models," Econometrics and Statistics, Elsevier, vol. 26(C), pages 72-83.
    15. Dong, Diansheng & Schmit, Todd M. & Kaiser, Harry M., 2003. "Modeling the Household Purchasing Process Using a Panel Data Tobit Model," Research Bulletins 122115, Cornell University, Department of Applied Economics and Management.
    16. Luc Bauwens & Michel Lubrano, 2007. "Bayesian Inference in Dynamic Disequilibrium Models: An Application to the Polish Credit Market," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 469-486.
    17. Kömm, Holger & Küsters, Ulrich, 2015. "Forecasting zero-inflated price changes with a Markov switching mixture model for autoregressive and heteroscedastic time series," International Journal of Forecasting, Elsevier, vol. 31(3), pages 598-608.
    18. Dong, Diansheng & Chung, Chanjin & Kaiser, Harry M., 2001. "Panel Data Double-Hurdle Model: An Application To Dairy Advertising," 2001 Annual meeting, August 5-8, Chicago, IL 20502, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. A. E. Brockwell & N. H. Chan & P. K. Lee, 2003. "A class of models for aggregated traffic volume time series," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 52(4), pages 417-430, October.
    20. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, Department of Economics and Business Economics, Aarhus University.
    21. Hsieh, Ping-Hung & Yang, J. Jimmy, 2009. "A censored stochastic volatility approach to the estimation of price limit moves," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 337-351, March.
    22. Wei, Steven X., 2002. "A censored-GARCH model of asset returns with price limits," Journal of Empirical Finance, Elsevier, vol. 9(2), pages 197-223, March.
    23. Chavas, Jean-Paul & Kim, Kwansoo, 2001. "An Econometric Analysis Of The Effects Of Market Liberalization On Price Dynamics And Price Volatility," 2001 Annual meeting, August 5-8, Chicago, IL 20649, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    24. James D. Hamilton & Oscar Jorda, "undated". "A model for the federal funds rate target," Department of Economics 99-07, California Davis - Department of Economics.
    25. Henry W. Chappell & Rob Roy McGregor, 2017. "The lower bound and the causes of monetary policy inertia: evidence from Sweden," Applied Economics, Taylor & Francis Journals, vol. 49(11), pages 1132-1146, March.
    26. Eymen Errais & Dhikra Bahri, 2016. "Is Standard Deviation a Good Measure of Volatility? the Case of African Markets with Price Limits," Annals of Economics and Finance, Society for AEF, vol. 17(1), pages 145-165, May.
    27. Kamhon Kan & Chihwa Kao, 2005. "Simulation-Based Two-Step Estimation with Endogenous Regressors," Center for Policy Research Working Papers 76, Center for Policy Research, Maxwell School, Syracuse University.
    28. Harvey, A. & Liao, Y., 2019. "Dynamic Tobit models," Cambridge Working Papers in Economics 1913, Faculty of Economics, University of Cambridge.
    29. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.

  79. Lee, Lung-fei, 1999. "Statistical Inference With Simulated Likelihood Functions," Econometric Theory, Cambridge University Press, vol. 15(3), pages 337-360, June.

    Cited by:

    1. Ziegler, Andreas, 2002. "Simulated Classical Tests in the Multiperiod Multinomial Probit Model," ZEW Discussion Papers 02-38, ZEW - Leibniz Centre for European Economic Research.
    2. Andrew Meyer, 2013. "Estimating discount factors for public and private goods and testing competing discounting hypotheses," Journal of Risk and Uncertainty, Springer, vol. 46(2), pages 133-173, April.
    3. Kristensen, Dennis & Shin, Yongseok, 2012. "Estimation of dynamic models with nonparametric simulated maximum likelihood," Journal of Econometrics, Elsevier, vol. 167(1), pages 76-94.
    4. Dennis Kristensen & Bernard Salanie, 2013. "Higher-order properties of approximate estimators," CeMMAP working papers CWP45/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Andreas Ziegler, 2010. "Individual Characteristics and Stated Preferences for Alternative Energy Sources and Propulsion Technologies in Vehicles: A Discrete Choice Analysis," CER-ETH Economics working paper series 10/125, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    6. Arabinda Das, 2021. "Copula-based Stochastic Cost Frontier with Correlated Technical and Allocative Inefficiency," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(2), pages 207-222, June.
    7. Andreas Ziegler, 2007. "Simulated classical tests in multinomial probit models," Statistical Papers, Springer, vol. 48(4), pages 655-681, October.
    8. Ziegler, Andreas, 2001. "Simulated z-tests in multinomial probit models," ZEW Discussion Papers 01-53, ZEW - Leibniz Centre for European Economic Research.
    9. Dennis Kristensen & Bernard Salanié, 2010. "Higher Order Improvements for Approximate Estimators," CAM Working Papers 2010-04, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    10. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    11. Arabinda Das, 2015. "Copula-based Stochastic Frontier Model with Autocorrelated Inefficiency," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(2), pages 111-126, June.
    12. Rennings, Klaus & Ziegler, Andreas & Zwick, Thomas, 2001. "Employment changes in environmentally innovative firms," ZEW Discussion Papers 01-46, ZEW - Leibniz Centre for European Economic Research.
    13. Klaus Rennings & Andreas Ziegler & Thomas Zwick, 2004. "The effect of environmental innovations on employment changes: an econometric analysis," Business Strategy and the Environment, Wiley Blackwell, vol. 13(6), pages 374-387, November.
    14. Kamhon Kan & Chihwa Kao, 2005. "Simulation-Based Two-Step Estimation with Endogenous Regressors," Center for Policy Research Working Papers 76, Center for Policy Research, Maxwell School, Syracuse University.
    15. Ziegler Andreas, 2010. "Z-Tests in Multinomial Probit Models under Simulated Maximum Likelihood Estimation: Some Small Sample Properties," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(5), pages 630-652, October.

  80. Chen, Songnian & Lee, Lung-Fei, 1998. "Efficient Semiparametric Scoring Estimation Of Sample Selection Models," Econometric Theory, Cambridge University Press, vol. 14(4), pages 423-462, August.
    See citations under working paper version above.
  81. Lee, Lung-Fei, 1997. "Simulated maximum likelihood estimation of dynamic discrete choice statistical models some Monte Carlo results," Journal of Econometrics, Elsevier, vol. 82(1), pages 1-35.
    See citations under working paper version above.
  82. Lee, Lung-fei & Rosenzweig, Mark R. & Pitt, Mark M., 1997. "The effects of improved nutrition, sanitation, and water quality on child health in high-mortality populations," Journal of Econometrics, Elsevier, vol. 77(1), pages 209-235, March.

    Cited by:

    1. Dickie, Mark & Messman, Victoria L., 2004. "Parental altruism and the value of avoiding acute illness: are kids worth more than parents?," Journal of Environmental Economics and Management, Elsevier, vol. 48(3), pages 1146-1174, November.
    2. Hammer, Jeffrey & Spears, Dean, 2013. "Village sanitation and children's human capital : evidence from a randomized experiment by the Maharashtra government," Policy Research Working Paper Series 6580, The World Bank.
    3. Atak, Alev & Linton, Oliver B. & Xiao, Zhijie, 2010. "A Semiparametric Panel Model for Unbalanced Data with Application to Climate Change in the United Kingdom," MPRA Paper 22079, University Library of Munich, Germany.
    4. Pierre-Richard Agénor, 2005. "Health and Infrastructure in Models of Endogenous Growth," Economics Discussion Paper Series 0539, Economics, The University of Manchester.
    5. Bhalotra S & Rawlings S, 2009. "Gradients of the Intergenerational Transmission of Health in Developing Countries," Health, Econometrics and Data Group (HEDG) Working Papers 09/13, HEDG, c/o Department of Economics, University of York.
    6. Guojun He & Jeffrey M. Perloff, 2016. "Surface Water Quality and Infant Mortality in China," Economic Development and Cultural Change, University of Chicago Press, vol. 65(1), pages 119-139.
    7. Abou-Ali, Hala, 2003. "Child mortality, wealth and education: direct versus indirect effects," Working Papers in Economics 114, University of Gothenburg, Department of Economics.
    8. Makate, Marshall & Makate, Clifton, 2016. "Is poor sanitation killing more children in rural Zimbabwe? Results of propensity score matching method," MPRA Paper 72831, University Library of Munich, Germany, revised 02 Aug 2016.
    9. Mansour Farahani & S. V. Subramanian & David Canning, 2010. "Effects of state‐level public spending on health on the mortality probability in India," Health Economics, John Wiley & Sons, Ltd., vol. 19(11), pages 1361-1376, November.
    10. Inter American Development Bank, 2012. "Room for Development: Housing Markets in Latin America and the Caribbean: Summary," IDB Publications (Books), Inter-American Development Bank, number 447, December.
    11. Anton Parlow, 2016. "State and Development: Child Mortality and the War on Terror: Afghanistan from 2007 to 2010," HiCN Working Papers 220, Households in Conflict Network.
    12. Agha Akram & Sheila Olmstead, 2011. "The Value of Household Water Service Quality in Lahore, Pakistan," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(2), pages 173-198, June.
    13. Sebastian Galiani & Martín González Rozada & Ernesto Schargrodsky, 2007. "Water Expansions in Shantytowns: Health and Savings," Research Department Publications 3234, Inter-American Development Bank, Research Department.
    14. Katherine L. Dickinson & Sumeet R. Patil & Subhrendu K. Pattanayak & Christine Poulos & Jui-Hen Yang, 2015. "Nature's Call: Impacts of Sanitation Choices in Orissa, India," Economic Development and Cultural Change, University of Chicago Press, vol. 64(1), pages 1-29.
    15. Agénor, Pierre-Richard & Canuto, Otaviano & da Silva, Luiz Pereira, 2014. "On gender and growth: The role of intergenerational health externalities and women's occupational constraints," Structural Change and Economic Dynamics, Elsevier, vol. 30(C), pages 132-147.
    16. Virgilio Galdo & Bertha Briceño, 2005. "Evaluating the Impact on Child Mortality of a Water Supply and Sewerage Expansion in Quiro:Is Water Enough?," OVE Working Papers 0105, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    17. Pérez-Mesa, David & Marrero, Gustavo A. & Darias-Curvo, Sara, 2021. "Child health inequality in Sub-Saharan Africa," MPRA Paper 108801, University Library of Munich, Germany.
    18. Mark D. Agee & Scott E. Atkinson & Thomas D. Crocker, 2008. "Multiple‐Output Child Health Production Functions: The Impact of Time‐Varying and Time‐Invariant Inputs," Southern Economic Journal, John Wiley & Sons, vol. 75(2), pages 410-428, August.
    19. Mark D. Agee & Scott E. Atkinson & Thomas D. Crocker, 2009. "Multiple‐Output Child Health Production Functions: The Impact of Time‐Varying and Time‐Invariant Inputs," Southern Economic Journal, John Wiley & Sons, vol. 75(3), pages 909-927, January.
    20. Brijesh C. Purohit, 2015. "Impact of Water and Sanitation on Selected Water Borne Diseases in India," Working Papers 2015-117, Madras School of Economics,Chennai,India.
    21. Ouyang, Yusi & Pinstrup-Andersen, Per, 2012. "Health Inequality between Ethnic Minority and Han Populations in China," World Development, Elsevier, vol. 40(7), pages 1452-1468.
    22. Paola Ballón & John Cockburn & Sylvain Dessy & Setou Diarra, 2018. "Child Monetary Poverty and Multidimensional Deprivations: Why They Differ," Journal of African Economies, Centre for the Study of African Economies, vol. 27(4), pages 483-512.
    23. Halkos, George & Tzeremes, Nickolaos, 2011. "Examining the influence of access to improved water and sanitation sources on countries’ economic efficiency," MPRA Paper 30099, University Library of Munich, Germany.
    24. Van der Klaauw, Bas & Limin Wang, 2004. "Child mortality in rural India," Policy Research Working Paper Series 3281, The World Bank.
    25. Yamauchi, Futoshi & Higuchi, Katsuhiko & Suhaeti, Rita Nur, 2009. "Impacts of prenatal and environmental factors on child growth: Evidence from Indonesia," IFPRI discussion papers 933, International Food Policy Research Institute (IFPRI).
    26. Robyn Meeks, 2011. "Communal Taps: Assessing the Impacts of Shared Piped Water Supplies in Rural Kyrgyzstan," CID Working Papers 49, Center for International Development at Harvard University.
    27. Li, Hongbin & Meng, Lingsheng & Pan, Wenqing, 2011. "The human cost of China's industrial growth," China Economic Review, Elsevier, vol. 22(3), pages 373-382, September.
    28. Nicholas Lawson & Dean Spears, 2016. "What doesn't kill you makes you poorer: Adult wages and early-life mortality in India," Post-Print hal-03586773, HAL.
    29. César Calderón & Luis Servén, 2004. "The Effects of Infrastructure Development on Growth and Income Distribution," Working Papers Central Bank of Chile 270, Central Bank of Chile.
    30. Liguo Lin, 2013. "The Impacts of "Land of Love, Water Cellar for Mothers" in Western China," Working Papers PIERI 2013-16, PEP-PIERI.
    31. Krause, Brooke Laura, 2012. "Childhood Malnutrition and Educational Attainment: An Analysis using Oxford’s Young Lives Longitudinal Study in Peru," Master's Theses and Plan B Papers 146072, University of Minnesota, Department of Applied Economics.
    32. Eriksson, Tor & Pan, Jay & Qin, Xuezheng, 2014. "The intergenerational inequality of health in China," China Economic Review, Elsevier, vol. 31(C), pages 392-409.
    33. Ricardo Fuentes, Tobias Pfütze and Papa Seck, 2006. "Does Access to Water and Sanitation Affect Child Survival? A Five Country Analysis," Human Development Occasional Papers (1992-2007) HDOCPA-2006-04, Human Development Report Office (HDRO), United Nations Development Programme (UNDP).
    34. Jacoby, Hanan & Wang, Limin, 2004. "Environmental determinants of child mortality in rural china : A competing risks approach," Policy Research Working Paper Series 3241, The World Bank.
    35. Fernando Borraz, 2011. "Water nationalization: network access, quality, and health outcomes," Working Papers 201126, Latin American and Caribbean Environmental Economics Program, revised 2011.
    36. Olarreaga, Marcelo & Borraz, Fernando & González, Nicolás, 2011. "Water Nationalization: network access, water quality, and health outcomes," CEPR Discussion Papers 8415, C.E.P.R. Discussion Papers.
    37. Marie-Claude Martin, 2008. "Individual and Collective Resources and Health in Morocco," WIDER Working Paper Series RP2008-21, World Institute for Development Economic Research (UNU-WIDER).
    38. Luis Andres & Dan Biller & Matias Herrera Dappe, 2016. "A Methodological Framework for Prioritising Infrastructure Investment," Journal of Infrastructure Development, India Development Foundation, vol. 8(2), pages 111-127, December.
    39. Mallesh Ummalla & Asharani Samal & Abdulrasheed Zakari & Sathu Lingamurthy, 2022. "The effect of sanitation and safe drinking water on child mortality and life expectancy: Evidence from a global sample of 100 countries," Australian Economic Papers, Wiley Blackwell, vol. 61(4), pages 778-797, December.
    40. Gupta, Manash Ranjan & Barman, Trishita Ray, 2010. "Health, infrastructure, environment and endogenous growth," Journal of Macroeconomics, Elsevier, vol. 32(2), pages 657-673, June.
    41. Shanti Gamper-Rabindran & Shakeeb Khan & Christopher Timmins, 2008. "The Impact of Piped Water Provision on Infant Mortality in Brazil: A Quantile Panel Data Approach," NBER Working Papers 14365, National Bureau of Economic Research, Inc.
    42. Abou-Ali, Hala, 2003. "The effect of water and sanitation on child mortality in Egypt," Working Papers in Economics 112, University of Gothenburg, Department of Economics.
    43. Daniela López Cajiao, 2018. "Lightning the future of education in Brazil: the impact of rural electrification on educational outcomes," Documentos CEDE 16817, Universidad de los Andes, Facultad de Economía, CEDE.
    44. Agenor, Pierre-Richard & Moreno-Dodson, Blanca, 2006. "Public infrastructure and growth : new channels and policy implications," Policy Research Working Paper Series 4064, The World Bank.
    45. Mangyo, Eiji, 2008. "The effect of water accessibility on child health in China," Journal of Health Economics, Elsevier, vol. 27(5), pages 1343-1356, September.
    46. Maitra, Pushkar & Pal, Sarmistha, 2008. "Birth spacing, fertility selection and child survival: Analysis using a correlated hazard model," Journal of Health Economics, Elsevier, vol. 27(3), pages 690-705, May.
    47. Vanaja, S., 2018. "Access to Piped Water, Time Savings and Absenteeism in School: Evidence from India," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275954, International Association of Agricultural Economists.
    48. Rieger, Matthias & Wagner, Natascha, 2015. "Child health, its dynamic interaction with nutrition and health memory – Evidence from Senegal," Economics & Human Biology, Elsevier, vol. 16(C), pages 135-145.
    49. Andres,Luis Alberto & Biller,S. A. Dan & Herrera Dappe,Matias, 2014. "Infrastructure gap in South Asia : infrastructure needs, prioritization, and financing," Policy Research Working Paper Series 7032, The World Bank.
    50. Sebastian Galiani & Ernesto Schargrodsky, 2004. "Effects of Land Titling on Child Health," Research Department Publications 3184, Inter-American Development Bank, Research Department.
    51. Francisco de Castro Fernández & José Manuel González Mínguez, 2008. "The composition of public finances and long-term growth: a macroeconomic approach," Occasional Papers 0809, Banco de España.
    52. Mattos, Enlinson & Pinto, Cristine Campos de Xavier & Teixeira, Lucas, 2015. "Sanitation and health: empirical evidence for Brazilian municipalities," Textos para discussão 392, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    53. Vani Borooah, 2000. "The Welfare of Children in Central India: Econometric Analysis and Policy Simulation," Oxford Development Studies, Taylor & Francis Journals, vol. 28(3), pages 263-287.
    54. Song, Shige, 2010. "Mortality consequences of the 1959-1961 Great Leap Forward famine in China: Debilitation, selection, and mortality crossovers," Social Science & Medicine, Elsevier, vol. 71(3), pages 551-558, August.
    55. Lin, Liguo, 2013. "The impacts of "Land of Love, Water Cellar for Mothers" in China," PEP Working Papers 164277, Partnership for Economic Policy (PEP).
    56. Sebastian Galiani & Martín González Rozada & Ernesto Schargrodsky, 2007. "Expansiones de Agua en las Barriadas: Salud y Ahorros," Research Department Publications 3235, Inter-American Development Bank, Research Department.
    57. Joseph P. Ferrie & Werner Troesken, 2005. "Death and the City: Chicago's Mortality Transition, 1850-1925," NBER Working Papers 11427, National Bureau of Economic Research, Inc.
    58. Sheila M. Olmstead, 2010. "The Economics of Water Quality," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 4(1), pages 44-62, Winter.
    59. Yamauchi, Futoshi, 2012. "Long-term Impacts of Rice Price and Production Seasonality on Human Capital: Evidence from Rural Indonesia," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126163, International Association of Agricultural Economists.
    60. José Cardoso & João Morgado & Vincenzo Salvucci, 2016. "Mapping deprivation in Mozambique: An analysis of census data (1997-2007)," WIDER Working Paper Series wp-2016-166, World Institute for Development Economic Research (UNU-WIDER).
    61. Futoshi Yamauchi, 2012. "Prenatal Seasonality, Child Growth, and Schooling Investments: Evidence from Rural Indonesia," Journal of Development Studies, Taylor & Francis Journals, vol. 48(9), pages 1323-1341, September.
    62. Camargo, Braz & Stein, Guilherme, 2022. "Credit constraints and human capital policies," Journal of Public Economics, Elsevier, vol. 208(C).
    63. Jean-Pierre Lachaud, 2003. "La dynamique de l'inégalité de la malnutrition des enfants en Afrique. Une analyse comparative fondée sur une décomposition de régression," Documents de travail 86, Groupe d'Economie du Développement de l'Université Montesquieu Bordeaux IV.
    64. Jean-Pierre Lachaud, 2001. "Modélisation des déterminants de la mortalité des enfants et pauvreté aux Comores," Documents de travail 53, Groupe d'Economie du Développement de l'Université Montesquieu Bordeaux IV.
    65. Hindman Persson, Therése, 2001. "Women's Health Choices and the Effects on Child Health," Working Papers 2001:7, Lund University, Department of Economics, revised 21 Jan 2002.

  83. Lee, Lung-Fei, 1997. "A simulated likelihood estimator for qualitative response models with sufficient statistics," Economics Letters, Elsevier, vol. 57(1), pages 23-32, November.

    Cited by:

    1. Tsagkanos, Athanasios G., 2007. "A bootstrap-based minimum bias maximum simulated likelihood estimator of Mixed Logit," Economics Letters, Elsevier, vol. 96(2), pages 282-286, August.

  84. Lee, Lung-Fei, 1997. "A smooth likelihood simulator for dynamic disequilibrium models," Journal of Econometrics, Elsevier, vol. 78(2), pages 257-294, June.

    Cited by:

    1. Baird, Matthew & Daugherty, Lindsay & Kumar, Krishna B., 2019. "Improving Estimation of Labor Market Disequilibrium Using Shortage Indicators, with an Application to the Market for Anesthesiologists," IZA Discussion Papers 12129, Institute of Labor Economics (IZA).
    2. Matthew Baird & Lindsay Daugherty & Krishna Kumar, 2017. "Improving Estimation of Labor Market Disequilibrium through Inclusion of Shortage Indicators," CINCH Working Paper Series 1701, Universitaet Duisburg-Essen, Competent in Competition and Health.
    3. Wojciech W. Charemza, 1998. "Guesstimation," Discussion Papers in Economics 98/1, Division of Economics, School of Business, University of Leicester, revised Sep 1998.
    4. Edwige Burdeau, 2015. "Assessing dynamics of credit supply and demand for French SMEs, an estimation based on the Bank Lending Survey," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Indicators to support monetary and financial stability analysis: data sources and statistical methodologies, volume 39, Bank for International Settlements.
    5. Luc Bauwens & Michel Lubrano, 2007. "Bayesian Inference in Dynamic Disequilibrium Models: An Application to the Polish Credit Market," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 469-486.
    6. Schmidt, Torsten & Zwick, Lina, 2012. "In Search for a Credit Crunch in Germany," Ruhr Economic Papers 361, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

  85. Lee, Lung-Fei, 1997. "Simulation estimation of dynamic switching regression and dynamic disequilibrium models -- some Monte Carlo results," Journal of Econometrics, Elsevier, vol. 78(2), pages 179-184, June.

    Cited by:

    1. Harish Mani & V. Pandit & R. Prabhakar Rao, 2013. "Disequilibrium in the Indian Registered Manufacturing Sector-A Simulated Maximum Likelihood Analysis," Working papers 222, Centre for Development Economics, Delhi School of Economics.
    2. Mark M. Pitt & Daniel L. Millimet, 1999. "Estimation of Coherent Demand Systems with Many Binding Non-Negativity Constraints," Working Papers 99-4, Brown University, Department of Economics.
    3. Lee, Lung-fei, 1999. "Estimation of dynamic and ARCH Tobit models," Journal of Econometrics, Elsevier, vol. 92(2), pages 355-390, October.
    4. Kamhon Kan & Chihwa Kao, 2005. "Simulation-Based Two-Step Estimation with Endogenous Regressors," Center for Policy Research Working Papers 76, Center for Policy Research, Maxwell School, Syracuse University.
    5. Lee, Lung-Fei, 1997. "A smooth likelihood simulator for dynamic disequilibrium models," Journal of Econometrics, Elsevier, vol. 78(2), pages 257-294, June.

  86. Lee, Lung-fei, 1995. "Semiparametric maximum likelihood estimation of polychotomous and sequential choice models," Journal of Econometrics, Elsevier, vol. 65(2), pages 381-428, February.

    Cited by:

    1. Ariel Pakes & Jack Porter, 2024. "Moment inequalities for multinomial choice with fixed effects," Quantitative Economics, Econometric Society, vol. 15(1), pages 1-25, January.
    2. Jacopo Mazza & Hans van Ophem, 2020. "Educational Choice, Initial Wage and Wage Growth," Tinbergen Institute Discussion Papers 20-030/III, Tinbergen Institute.
    3. Giuseppe De Luca & Franco Peracchi, 2010. "Estimating Engel curves under unit and item nonresponse," EIEF Working Papers Series 1004, Einaudi Institute for Economics and Finance (EIEF), revised Nov 2010.
    4. Roger Klein & Francis Vella, 2009. "A semiparametric model for binary response and continuous outcomes under index heteroscedasticity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 735-762.
    5. Lee, Lung-fei & Rosenzweig, Mark R. & Pitt, Mark M., 1997. "The effects of improved nutrition, sanitation, and water quality on child health in high-mortality populations," Journal of Econometrics, Elsevier, vol. 77(1), pages 209-235, March.
    6. Giuseppe De Luca, 2008. "SNP and SML estimation of univariate and bivariate binary-choice models," Stata Journal, StataCorp LP, vol. 8(2), pages 190-220, June.
    7. Marc-Andreas Muendler & Sascha Becker & Sascha O. Becker, 2006. "Margins of Multinational Labor Substitution," CESifo Working Paper Series 1713, CESifo.
    8. Florian Heiss, 2016. "Discrete Choice Methods with Simulation," Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 688-692, April.
    9. Mogens Fosgerau, 2004. "Investigating the distribution of the value of travel time savings," Urban/Regional 0411006, University Library of Munich, Germany.
    10. Hyungtaik Ahn & Hidehiko Ichimura & James L. Powell & Paul A. Ruud, 2018. "Simple Estimators for Invertible Index Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 1-10, January.
    11. Glewwe, Paul & Song, Yang & Zou, Xianqiang, 2022. "Labor market outcomes, cognitive skills, and noncognitive skills in rural China," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 294-311.
    12. Donkers, Bas & Schafgans, Marcia M. A., 2005. "A method of moments estimator for semiparametric index models," LSE Research Online Documents on Economics 6815, London School of Economics and Political Science, LSE Library.
    13. Ye, Xin & Garikapati, Venu M. & You, Daehyun & Pendyala, Ram M., 2017. "A practical method to test the validity of the standard Gumbel distribution in logit-based multinomial choice models of travel behavior," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 173-192.
    14. Jeremy T. Fox & Amit Gandhi, 2009. "Identifying Heterogeneity in Economic Choice Models," NBER Working Papers 15147, National Bureau of Economic Research, Inc.
    15. Wayne Yuan Gao & Ming Li, 2020. "Identification of Semiparametric Panel Multinomial Choice Models with Infinite-Dimensional Fixed Effects," Papers 2009.00085, arXiv.org, revised Nov 2024.
    16. Amit Gandhi & Jeremy T. Fox, 2009. "Identifying Heterogeneity in Economic Choice and Selection Models Using Mixtures," 2009 Meeting Papers 165, Society for Economic Dynamics.
    17. Giuseppe De Luca & Franco Peracchi, 2007. "A sample selection model for unit and item nonresponse in cross-sectional surveys," CEIS Research Paper 95, Tor Vergata University, CEIS.
    18. Coppejans, Mark, 2001. "Estimation of the binary response model using a mixture of distributions estimator (MOD)," Journal of Econometrics, Elsevier, vol. 102(2), pages 231-269, June.
    19. Mamine, Fateh & Fares, M'hand & Minviel, Jean Joseph, 2020. "Contract Design for Adoption of Agrienvironmental Practices: A Meta-analysis of Discrete Choice Experiments," Ecological Economics, Elsevier, vol. 176(C).
    20. Songnian Chen & Shakeeb Khan & Xun Tang, 2020. "Identification and Estimation of Weakly Separable Models Without Monotonicity," Papers 2003.04337, arXiv.org, revised Apr 2020.
    21. Rothe, Christoph, 2009. "Semiparametric estimation of binary response models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 153(1), pages 51-64, November.
    22. Donkers, A.C.D. & Schafgans, M., 2003. "A Derivative Based Estimator for Semiparametric Index Models," Discussion Paper 2003-22, Tilburg University, Center for Economic Research.
    23. Mogens Fosgerau, 2024. "Nonparametric approaches to describing heterogeneity," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 11, pages 308-318, Edward Elgar Publishing.
    24. Klein, Roger & Shen, Chan & Vella, Francis, 2011. "Semiparametric Selection Models with Binary Outcomes," IZA Discussion Papers 6008, Institute of Labor Economics (IZA).
    25. Harrison, Glenn W. & Lau, Morten I. & Yoo, Hong Il, 2019. "Risk Attitudes, Sample Selection and Attrition in a Longitudinal Field Experiment," Working Papers 2-2019, Copenhagen Business School, Department of Economics.
    26. Hans Ophem & Jacopo Mazza, 2024. "Educational choice, initial wage and wage growth," Empirical Economics, Springer, vol. 67(3), pages 1235-1274, September.
    27. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2020. "Inference on Semiparametric Multinomial Response Models," Discussion Papers Series 627, School of Economics, University of Queensland, Australia.
    28. Khai Xiang Chiong & Matthew Shum, 2019. "Random Projection Estimation of Discrete-Choice Models with Large Choice Sets," Management Science, INFORMS, vol. 65(1), pages 256-271, January.
    29. Lechner, Michael & Okasa, Gabriel, 2019. "Random Forest Estimation of the Ordered Choice Model," Economics Working Paper Series 1908, University of St. Gallen, School of Economics and Political Science.
    30. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2019. "Inference on Semiparametric Multinomial Response Models," Boston College Working Papers in Economics 980, Boston College Department of Economics.
    31. Yan, Jin & Yoo, Hong Il, 2019. "Semiparametric estimation of the random utility model with rank-ordered choice data," Journal of Econometrics, Elsevier, vol. 211(2), pages 414-438.
    32. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Discrete Choice Models for Bundles," Discussion Papers Series 625, School of Economics, University of Queensland, Australia.
    33. Sadat Reza & Paul Rilstone, 2016. "Semiparametric Efficiency Bounds and Efficient Estimation of Discrete Duration Models with Unspecified Hazard Rate," Econometric Reviews, Taylor & Francis Journals, vol. 35(5), pages 693-726, May.
    34. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2021. "Inference on semiparametric multinomial response models," Quantitative Economics, Econometric Society, vol. 12(3), pages 743-777, July.
    35. Shakeeb Khan & Xiaoying Lan & Elie Tamer & Qingsong Yao, 2021. "Estimating High Dimensional Monotone Index Models by Iterative Convex Optimization1," Papers 2110.04388, arXiv.org, revised Feb 2023.
    36. Bharadwaj, Latika & Findeis, Jill L. & Chintawar, Sachin, 2013. "Motivations to work off-farm among U.S. farm women," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 45(C), pages 71-77.
    37. Daisuke Fukuda & Tetsuo Yai, 2010. "Semiparametric specification of the utility function in a travel mode choice model," Transportation, Springer, vol. 37(2), pages 221-238, March.
    38. Giuseppe De Luca & Valeria Perotti, 2010. "Estimation of ordered response models with sample selection," CEIS Research Paper 168, Tor Vergata University, CEIS, revised 03 Jun 2010.
    39. Songnian Chen & Shakeeb Khan & Xun Tang, 2020. "Dummy Endogenous Variables in Weakly Separable Multiple Index Models without Monotonicity," Boston College Working Papers in Economics 996, Boston College Department of Economics.
    40. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    41. Songnian Chen & Shakeeb Khan & Xun Tang, 2022. "Endogeneity in Weakly Separable Models without Monotonicity," Papers 2208.05047, arXiv.org.
    42. Huang, J u-Chin & Nychka, Douglas W., 2000. "A nonparametric multiple choice method within the random utility framework," Journal of Econometrics, Elsevier, vol. 97(2), pages 207-225, August.
    43. Fu Ouyang & Thomas T. Yang, 2023. "Semiparametric Discrete Choice Models for Bundles," Papers 2306.04135, arXiv.org, revised Nov 2023.
    44. Chen, Songnian & Khan, Shakeeb & Tang, Xun, 2024. "Endogeneity in weakly separable models without monotonicity," Journal of Econometrics, Elsevier, vol. 238(1).
    45. Domenico Depalo, 2009. "A seasonal unit-root test with Stata," Stata Journal, StataCorp LP, vol. 9(3), pages 422-438, September.
    46. Takahiro ITO, 2024. "Binary and Ordered Response Models in Randomized Experiments: Applications of the Resampling-Based Maximum Likelihood Method," GSICS Working Paper Series 42, Graduate School of International Cooperation Studies, Kobe University.
    47. Jeff Racine, 2002. "Generalized Semiparametric Binary Prediction," Annals of Economics and Finance, Society for AEF, vol. 3(1), pages 117-134, May.

  87. Lee, Lung-fei, 1995. "The Computation of Opportunity Costs in Polychotomous Choice Models with Selectivity," The Review of Economics and Statistics, MIT Press, vol. 77(3), pages 423-435, August.

    Cited by:

    1. Carson, Richard T. & Louviere, Jordan J., 2014. "Statistical properties of consideration sets," Journal of choice modelling, Elsevier, vol. 13(C), pages 37-48.
    2. David W. Carter & J. Walter Milon, 2005. "Price Knowledge in Household Demand for Utility Services," Land Economics, University of Wisconsin Press, vol. 81(2).
    3. Hildebrand, Kayla & Chung, Chinjin, 2023. "Selectivity Bias and Cattle Price in the Cattle Procurement Market," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 48(3), September.

  88. Lee, Lung-Fei, 1995. "Asymptotic Bias in Simulated Maximum Likelihood Estimation of Discrete Choice Models," Econometric Theory, Cambridge University Press, vol. 11(3), pages 437-483, June.

    Cited by:

    1. Sándor, Z. & Train, K., 2004. "Quasi-random simulation of discrete choice models," Econometric Institute Research Papers EI 2004-51, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Freyberger, Joachim, 2015. "Asymptotic theory for differentiated products demand models with many markets," Journal of Econometrics, Elsevier, vol. 185(1), pages 162-181.
    3. Dick van Dijk & Dennis Fok & Philip Hans Franses, 2005. "A multi-level panel STAR model for US manufacturing sectors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(6), pages 811-827.
    4. Henry W. Chappell & Paulo Guimarães & Orgül Demet Öztürk, 2011. "Confessions of an internet monopolist: demand estimation for a versioned information good," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 32(1), pages 1-15, January.
    5. Chihwa Kao & Lung-fei Lee & Mark M. Pitt, 2000. "Simulated Maximum Likelihood Estimation of the Linear Expenditure System with Binding Non-Negativity Constraints," CEMA Working Papers 50, China Economics and Management Academy, Central University of Finance and Economics, revised Apr 2001.
    6. Kristensen, Dennis & Shin, Yongseok, 2012. "Estimation of dynamic models with nonparametric simulated maximum likelihood," Journal of Econometrics, Elsevier, vol. 167(1), pages 76-94.
    7. Geweke, John F. & Horowitz, Joel L. & Pesaran, M. Hashem, 2006. "Econometrics: A Bird's Eye View," IZA Discussion Papers 2458, Institute of Labor Economics (IZA).
    8. Geweke, John F. & Keane, Michael P. & Runkle, David E., 1997. "Statistical inference in the multinomial multiperiod probit model," Journal of Econometrics, Elsevier, vol. 80(1), pages 125-165, September.
    9. Kwak, Kyuseop & Duvvuri, Sri Devi & Russell, Gary J., 2015. "An Analysis of Assortment Choice in Grocery Retailing," Journal of Retailing, Elsevier, vol. 91(1), pages 19-33.
    10. Dennis Kristensen & Bernard Salanie, 2013. "Higher-order properties of approximate estimators," CeMMAP working papers CWP45/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Lee, Lung-Fei, 1997. "A simulated likelihood estimator for qualitative response models with sufficient statistics," Economics Letters, Elsevier, vol. 57(1), pages 23-32, November.
    12. Bijwaard, Govert E. & Franses, Philip Hans, 2009. "The effect of rounding on payment efficiency," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1449-1461, February.
    13. Michael Creel, 2008. "Estimation of Dynamic Latent Variable Models Using Simulated Nonparametric Moments," UFAE and IAE Working Papers 725.08, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), revised 02 Jun 2008.
    14. Yafeng Wang & Brett Graham, 2013. "Generalized Maximum Entropy Estimation of Discrete Sequential Move Games of Perfect Information," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    15. Michael Lechner & Stefan Lollivier & Thierry Magnac, 2005. "Parametric Binary Choice Models," University of St. Gallen Department of Economics working paper series 2005 2005-23, Department of Economics, University of St. Gallen.
    16. Fok, D. & van Dijk, D.J.C. & Franses, Ph.H.B.F., 2003. "A multi-level panel smooth transition autoregression for US sectoral production," Econometric Institute Research Papers EI 2003-43, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    17. Arabinda Das, 2021. "Copula-based Stochastic Cost Frontier with Correlated Technical and Allocative Inefficiency," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(2), pages 207-222, June.
    18. Lee, Lung-fei, 1999. "Estimation of dynamic and ARCH Tobit models," Journal of Econometrics, Elsevier, vol. 92(2), pages 355-390, October.
    19. Lee, L.F., 1994. "Simulated Maximum Likelihood Estimation of Dynamic Discrete Choice Statistical Models--Some Monte Carlo Results," Papers 94-06, Michigan - Center for Research on Economic & Social Theory.
    20. Altissimo, Filippo & Mele, Antonio, 2005. "Simulated nonparametric estimation of dynamic models with applications to finance," LSE Research Online Documents on Economics 24658, London School of Economics and Political Science, LSE Library.
    21. Han Hong & Huiyu Li & Jessie Li, 2019. "BLP Estimation Using Laplace Transformation and Overlapping Simulation Draws," Working Paper Series 2019-24, Federal Reserve Bank of San Francisco.
    22. Kenneth A. Small & Clifford Winston & Jia Yan, 2005. "Differentiated Road Pricing, Express Lanes and Carpools: Exploiting Heterogeneous Preferences in Policy Design," Working Papers 050616, University of California-Irvine, Department of Economics, revised Mar 2006.
    23. Andrew Chia, 2021. "Automatically Differentiable Random Coefficient Logistic Demand Estimation," Papers 2106.04636, arXiv.org.
    24. Joachim Freyberger, 2012. "Asymptotic theory for differentiated products demand models with many markets," CeMMAP working papers CWP19/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    25. de Lapparent, M., & Axhausen , K.W. & Frei, A., 2013. "Long distance mode choice and distributions of values of travel time savings in three European countries," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 53, pages 1-7.
    26. Daniel A. Ackerberg, 2001. "A New Use of Importance Sampling to Reduce Computational Burden in Simulation Estimation," NBER Technical Working Papers 0273, National Bureau of Economic Research, Inc.
    27. Paleti, Rajesh & Bhat, Chandra R., 2013. "The composite marginal likelihood (CML) estimation of panel ordered-response models," Journal of choice modelling, Elsevier, vol. 7(C), pages 24-43.
    28. Ziegler, Andreas, 2001. "Simulated z-tests in multinomial probit models," ZEW Discussion Papers 01-53, ZEW - Leibniz Centre for European Economic Research.
    29. Dennis Kristensen & Bernard Salanié, 2010. "Higher Order Improvements for Approximate Estimators," CAM Working Papers 2010-04, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    30. Philipp Meinen, 2015. "Sunk costs of exporting and the role of experience in international trade," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 48(1), pages 335-367, February.
    31. Arabinda Das, 2015. "Copula-based Stochastic Frontier Model with Autocorrelated Inefficiency," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(2), pages 111-126, June.
    32. Lee, Donghoon & Song, Kyungchul, 2015. "Simulated maximum likelihood estimation for discrete choices using transformed simulated frequencies," Journal of Econometrics, Elsevier, vol. 187(1), pages 131-153.
    33. Joachim Freyberger, 2012. "Asymptotic theory for differentiated products demand models with many markets," CeMMAP working papers 19/12, Institute for Fiscal Studies.
    34. Wei Cheng, 2022. "Consistent EM algorithm for a spatial autoregressive probit model," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-23, December.
    35. Train, Kenneth, 2016. "Mixed logit with a flexible mixing distribution," Journal of choice modelling, Elsevier, vol. 19(C), pages 40-53.
    36. García, Gustavo Antonio & Ramírez-Hassan, Andrés & Saravia, Estefanía & Vargas, Raquel & Duque, Juan Fernando & Londoño, Daniel, 2022. "Impacto del programa de subsidios en el transporte escolar en Medellín (Colombia) como herramientas para reducir la exclusión social," IDB Publications (Working Papers) 12013, Inter-American Development Bank.
    37. Kamhon Kan & Chihwa Kao, 2005. "Simulation-Based Two-Step Estimation with Endogenous Regressors," Center for Policy Research Working Papers 76, Center for Policy Research, Maxwell School, Syracuse University.
    38. Ziegler Andreas, 2010. "Z-Tests in Multinomial Probit Models under Simulated Maximum Likelihood Estimation: Some Small Sample Properties," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(5), pages 630-652, October.
    39. Hahn, Jinyong & Liu, Xueyuan, 2022. "Jackknife bias reduction for simulated maximum likelihood estimator of discrete choice models," Economics Letters, Elsevier, vol. 219(C).
    40. Hess, Stephane & Train, Kenneth E. & Polak, John W., 2006. "On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice," Transportation Research Part B: Methodological, Elsevier, vol. 40(2), pages 147-163, February.
    41. Kohei Kawaguchi & Kosuke Uetake & Yasutora Watanabe, 2021. "Designing Context-Based Marketing: Product Recommendations Under Time Pressure," Management Science, INFORMS, vol. 67(9), pages 5642-5659, September.
    42. Lee, Lung-Fei, 1997. "A smooth likelihood simulator for dynamic disequilibrium models," Journal of Econometrics, Elsevier, vol. 78(2), pages 257-294, June.
    43. Erik Meijer & Arie Kapteyn & Tatiana Andreyeva, 2008. "Health Indexes and Retirement Modeling in International Comparisons," Working Papers WR-614, RAND Corporation.

  89. Lee, Lung-fei, 1994. "Rational expectations in limited dependent variable models," Economics Letters, Elsevier, vol. 46(2), pages 97-104, October.
    See citations under working paper version above.
  90. Lee, Lung-fei, 1994. "Semiparametric two-stage estimation of sample selection models subject to Tobit-type selection rules," Journal of Econometrics, Elsevier, vol. 61(2), pages 305-344, April.
    See citations under working paper version above.
  91. Lee, Lung-Fei, 1994. "Semiparametric instrumental variable estimation of simultaneous equation sample selection models," Journal of Econometrics, Elsevier, vol. 63(2), pages 341-388, August.
    See citations under working paper version above.
  92. Lee, Lung-Fei, 1993. "Asymptotic Distribution of the Maximum Likelihood Estimator for a Stochastic Frontier Function Model with a Singular Information Matrix," Econometric Theory, Cambridge University Press, vol. 9(3), pages 413-430, June.
    See citations under working paper version above.
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    123. Mullahy John, 2015. "Multivariate Fractional Regression Estimation of Econometric Share Models," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 71-100, January.
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    125. Golan, Amos & LaFrance, Jeffrey T & Perloff, Jeffrey M. & Seabold, Skipper, 2017. "Estimating a Demand System with Choke Prices," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4qt9q8vr, Department of Agricultural & Resource Economics, UC Berkeley.
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    127. von Haefen, Roger H. & Phaneuf, Daniel J., 2003. "Estimating preferences for outdoor recreation:: a comparison of continuous and count data demand system frameworks," Journal of Environmental Economics and Management, Elsevier, vol. 45(3), pages 612-630, May.
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    129. Meyerhoefer, Chad D. & Ranney, Christine K. & Sahn, David E., 2003. "Consistent Estimation Of Longitudinal Censored Demand Systems: An Application To Transition Country Data," Working Papers 127252, Cornell University, Department of Applied Economics and Management.
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    1. Montserrat Guillen & Manuel Artis, 1994. "Count Data Models For A Credit Scoring System," Risk and Insurance 9407004, University Library of Munich, Germany.
    2. Andrew Street & Conrad Kobel & Thomas Renaud & Josselin Thuilliez, 2012. "How well do diagnosis-related groups explain variations in costs or length of stay among patients and across hospitals? Methods for analysing routine patient data," Post-Print halshs-00719777, HAL.
    3. Lee, Changyong & Cho, Yangrae & Seol, Hyeonju & Park, Yongtae, 2012. "A stochastic patent citation analysis approach to assessing future technological impacts," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 16-29.
    4. Damien Euzénat & Meradj Mortezapouraghdam, 2016. "Les changements d’organisation du travail dans les entreprises : quelles conséquences sur les accidents du travail des salariés ?," Économie et Statistique, Programme National Persée, vol. 486(1), pages 129-147.
    5. Brendan P. M. McCabe & Christopher L. Skeels, 2020. "Distributions You Can Count On …But What’s the Point?," Econometrics, MDPI, vol. 8(1), pages 1-36, March.
    6. Creel, Michael D. & Loomis, John B., 1989. "Theoretical and Empirical Advantages of Truncated Count Data Estimators for Analysis of Deer Hunting in California," WAEA/ WFEA Conference Archive (1929-1995) 245039, Western Agricultural Economics Association.
    7. S. Mansoob Murshed & Scott Gates, 2005. "Spatial–Horizontal Inequality and the Maoist Insurgency in Nepal," Review of Development Economics, Wiley Blackwell, vol. 9(1), pages 121-134, February.
    8. Daniel Hellerstein, 1993. "Intertemporal data and travel cost analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 3(2), pages 193-207, April.
    9. Xingchen Yan & Tao Wang & Jun Chen & Xiaofei Ye & Zhen Yang & Hua Bai, 2019. "Analysis of the Characteristics and Number of Bicycle–Passenger Conflicts at Bus Stops for Improving Safety," Sustainability, MDPI, vol. 11(19), pages 1-14, September.
    10. Bruce Mcwilliams & Yacov Tsur & Eithan Hochman & David Zilberman, 1998. "Count-data regression models of the time to adopt new technologies," Applied Economics Letters, Taylor & Francis Journals, vol. 5(6), pages 369-373.
    11. Mansoob Murshed & Scott Gates, 2004. "Spatial Horizontal Inequality and the Maoist Insurgency in Nepal," WIDER Working Paper Series RP2004-43, World Institute for Development Economic Research (UNU-WIDER).

  100. Lee, Lung-Fei & Chesher, Andrew, 1986. "Specification testing when score test statistics are identically zero," Journal of Econometrics, Elsevier, vol. 31(2), pages 121-149, March.

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    1. Dante Amengual & Xinyue Bei & Enrique Sentana, 2022. "Normal but skewed?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1295-1313, November.
    2. Jonathan Feinstein & Daniel McFadden, 1987. "The Dynamics of Housing Demand by the Elderly: Wealth, Cash Flow, and Demographic Effects," NBER Working Papers 2471, National Bureau of Economic Research, Inc.
    3. Charles Engel & James D. Hamilton, 1989. "Long Swings in the Exchange Rate: Are they in the Data and Do Markets Know It?," NBER Working Papers 3165, National Bureau of Economic Research, Inc.
    4. Dovonon, Prosper & Renault, Eric, 2011. "Testing for Common GARCH Factors," MPRA Paper 40224, University Library of Munich, Germany.
    5. Donald W.K. Andrews & Xu Cheng, 2011. "GMM Estimation and Uniform Subvector Inference with Possible Identification Failure," Cowles Foundation Discussion Papers 1828, Cowles Foundation for Research in Economics, Yale University.
    6. Hiroyuki Kasahara & Katsumi Shimotsu, 2018. "Testing the Number of Regimes in Markov Regime Switching Models," Papers 1801.06862, arXiv.org, revised Jan 2018.
    7. Dovonon, Prosper & Gonçalves, Sílvia, 2017. "Bootstrapping the GMM overidentification test under first-order underidentification," Journal of Econometrics, Elsevier, vol. 201(1), pages 43-71.
    8. Fei Jin & Lung-fei Lee, 2020. "Asymptotic properties of a spatial autoregressive stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-40, December.
    9. Martijn van Hasselt, 2005. "Bayesian Sampling Algorithms for the Sample Selection and Two-Part Models," Computing in Economics and Finance 2005 241, Society for Computational Economics.
    10. Simon van Norden & Huntley Schaller, 2002. "Fads or bubbles?," Empirical Economics, Springer, vol. 27(2), pages 335-362.
    11. Javier Mencía & Enrique Sentana, 2012. "Distributional Tests in Multivariate Dynamic Models with Normal and Student-t Innovations," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 133-152, February.
    12. Gabriele Fiorentini & Enrique Sentana, 2014. "Neglected Serial Correlation Tests in UCARIMA Models," Working Papers wp2014_1406, CEMFI.
    13. Hahn, Jinyong & Newey, Whitney K. & Smith, Richard J., 2014. "Neglected heterogeneity in moment condition models," Journal of Econometrics, Elsevier, vol. 178(P1), pages 86-100.
    14. Samuele Centorrino & Mar'ia P'erez-Urdiales, 2020. "Maximum Likelihood Estimation of Stochastic Frontier Models with Endogeneity," Papers 2004.12369, arXiv.org, revised Mar 2021.
    15. Mencia, Javier F. & Sentana, Enrique, 2004. "Estimation and testing of dynamic models with generalised hyperbolic innovations," LSE Research Online Documents on Economics 24742, London School of Economics and Political Science, LSE Library.
    16. Matteo Bottai & Nicola Orsini, 2004. "Confidence intervals for the variance component of random-effects linear models," Stata Journal, StataCorp LP, vol. 4(4), pages 429-435, December.
    17. William Greene & Colin McKenzie, 2012. "LM Tests for Random Effects," Working Papers 12-14, New York University, Leonard N. Stern School of Business, Department of Economics.
    18. Dante Amengual & Xinyue Bei & Enrique Sentana, 2023. "Highly Irregular Serial Correlation Tests," Working Papers wp2023_2302, CEMFI.
    19. Kruiniger, Hugo, 2018. "A further look at Modified ML estimation of the panel AR(1) model with fixed effects and arbitrary initial conditions," MPRA Paper 88623, University Library of Munich, Germany.
    20. Sentana, Enrique & Amengual, Dante & Bei, Xinyue, 2020. "Hypothesis tests with a repeatedly singular information matrix," CEPR Discussion Papers 14415, C.E.P.R. Discussion Papers.
    21. Centorrino, Samuele & Pérez-Urdiales, María & Bravo-Ureta, Boris & Wall, Alan, 2022. "Binary endogenous treatment in stochastic frontier models with an application to soil conservation in El Salvador," Efficiency Series Papers 2022/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    22. Fei Jin & Lung-fei Lee, 2018. "Lasso Maximum Likelihood Estimation of Parametric Models with Singular Information Matrices," Econometrics, MDPI, vol. 6(1), pages 1-24, February.
    23. Francq, Christian & Horvath, Lajos & Zakoian, Jean-Michel, 2008. "Sup-tests for linearity in a general nonlinear AR(1) model when the supremum is taken over the full parameter space," MPRA Paper 16669, University Library of Munich, Germany.
    24. Francq, Christian & Horvath, Lajos & Zakoïan, Jean-Michel, 2010. "Sup-Tests For Linearity In A General Nonlinear Ar(1) Model," Econometric Theory, Cambridge University Press, vol. 26(4), pages 965-993, August.
    25. Jean-Marie DUFOUR & Richard LUGER, 2016. "Identification-Robust Moment-Based Tests for Markov-Switching in Autoregressive Models," Cahiers de recherche 15-2016, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    26. Dovonon, Prosper & Hall, Alastair R. & Kleibergen, Frank, 2020. "Inference in second-order identified models," Journal of Econometrics, Elsevier, vol. 218(2), pages 346-372.
    27. Manuel A. Domínguez & Ignacio N. Lobato, 2020. "Specification testing with estimated variables," Econometric Reviews, Taylor & Francis Journals, vol. 39(5), pages 476-494, May.
    28. Carrasco, Marine, 2002. "Misspecified Structural Change, Threshold, and Markov-switching models," Journal of Econometrics, Elsevier, vol. 109(2), pages 239-273, August.
    29. David Pacini, 2022. "Identification in Parametric Models: The Minimum Hellinger Distance Criterion," Econometrics, MDPI, vol. 10(1), pages 1-14, February.
    30. Sentana, Enrique & Amengual, Dante, 2015. "Is a normal copula the right copula?," CEPR Discussion Papers 10809, C.E.P.R. Discussion Papers.
    31. Greene, William & McKenzie, Colin, 2015. "An LM test based on generalized residuals for random effects in a nonlinear model," Economics Letters, Elsevier, vol. 127(C), pages 47-50.
    32. David Pacini, 2022. "A Goodness-of-Identifiability Criterion for Parametric Statistical Models," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 11(4), pages 1-1.
    33. Jin, Fei & Lee, Lung-fei, 2018. "Irregular N2SLS and LASSO estimation of the matrix exponential spatial specification model," Journal of Econometrics, Elsevier, vol. 206(2), pages 336-358.
    34. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
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    1. Daniel Kaufmann, 2017. "Is Deflation Costly After All? The Perils of Erroneous Historical Classifications," IRENE Working Papers 17-09, IRENE Institute of Economic Research.
    2. Masaru Chiba, 2023. "Robust and efficient specification tests in Markov-switching autoregressive models," Statistical Inference for Stochastic Processes, Springer, vol. 26(1), pages 99-137, April.
    3. Alexander, Carol & Kaeck, Andreas, 2008. "Regime dependent determinants of credit default swap spreads," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1008-1021, June.
    4. Kuang-Liang Chang & Nan-Kuang Chen & Charles Ka Yui Leung, 2012. "In the shadow of the United States: the international transmission effect of asset returns," Globalization Institute Working Papers 121, Federal Reserve Bank of Dallas.
    5. Lewis, Karen K, 1991. "Was There a "Peso Problem" in the U.S. Term Structure of Interest Rates: 1979-1982?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(1), pages 159-173, February.
    6. Sergei Koulayev & Marc Rysman & Scott Schuh & Joanna Stavins, 2016. "Explaining adoption and use of payment instruments by US consumers," RAND Journal of Economics, RAND Corporation, vol. 47(2), pages 293-325, May.
    7. Hamilton, James D., 1996. "Specification testing in Markov-switching time-series models," Journal of Econometrics, Elsevier, vol. 70(1), pages 127-157, January.
    8. Harish Mani & V. Pandit & R. Prabhakar Rao, 2013. "Disequilibrium in the Indian Registered Manufacturing Sector-A Simulated Maximum Likelihood Analysis," Working papers 222, Centre for Development Economics, Delhi School of Economics.
    9. Carl-Henrik Dahlqvist, 2018. "Cross-country information transmissions and the role of commodity markets: A multichannel Markov switching approach," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-22, August.
    10. Alexei Deviatov & Neil Wallace, 2006. "Estimating a Cagan-type demand function for gold: 1561-1913," Working Papers w0080, Center for Economic and Financial Research (CEFIR).
    11. Norashikin Adam & Norzahidah Yacob & Wan Rasyidah Wan Musa & Khairunnisa’ Yussof & Siti Musliha Mohd Idris, 2024. "The Effect of Global Economic Policy Uncertainty on Selected Islamic Stock Market Returns," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(10), pages 195-210, October.
    12. Noel, Michael, 2004. "Edgeworth Price Cycles: Evidence from the Toronto Retail Gasoline Market," University of California at San Diego, Economics Working Paper Series qt64j579g9, Department of Economics, UC San Diego.
    13. Giovanni Compiani & Yuichi Kitamura, 2016. "Using mixtures in econometric models: a brief review and some new results," Econometrics Journal, Royal Economic Society, vol. 19(3), pages 95-127, October.
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    19. Ana Oliveira-Brochado & Francisco Vitorino Martins, 2008. "Segmentação de Mercado e modelos mistura de regressão para variáveis normais," FEP Working Papers 262, Universidade do Porto, Faculdade de Economia do Porto.
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    23. Wan-Lun Wang & Luis M. Castro & Wan-Chen Hsieh & Tsung-I Lin, 2021. "Mixtures of factor analyzers with covariates for modeling multiply censored dependent variables," Statistical Papers, Springer, vol. 62(5), pages 2119-2145, October.
    24. Atefeh Zarei & Zahra Khodadadi & Mohsen Maleki & Karim Zare, 2023. "Robust mixture regression modeling based on two-piece scale mixtures of normal distributions," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 17(1), pages 181-210, March.
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    27. Haider, Adnan & Din, Musleh ud & Ghani, Ejaz, 2011. "Consequences of Political Instability, Governance and Bureaucratic Corruption on Inflation and Growth: The Case of Pakistan," MPRA Paper 35584, University Library of Munich, Germany.
    28. Noel, Michael, 2004. "Edgeworth Price Cycles, Cost-based Pricing and Sticky Pricing in Retail Gasoline Markets," University of California at San Diego, Economics Working Paper Series qt3pp315q7, Department of Economics, UC San Diego.
    29. Kim, Chang-Jin & Kim, Jaeho, 2013. "Bayesian Inference in Regime-Switching ARMA Models with Absorbing States: The Dynamics of the Ex-Ante Real Interest Rate Under Structural Breaks," MPRA Paper 51117, University Library of Munich, Germany.
    30. Masaki Aoyagi & Guillaume R. Frechette, 2004. "Collusion in Repeated Games with Imperfect Public Monitoring," Levine's Bibliography 122247000000000127, UCLA Department of Economics.
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    40. Asgari, Heshmatolah & Moridian, Ali, 2023. "Investigating the Role of Human Capital and Shadow Economy in the Impact of Natural Resource Rent on Income Inequality with Regime Change (in Persian)," The Journal of Planning and Budgeting (٠صلنامه برنامه ریزی و بودجه), Institute for Management and Planning studies, vol. 28(4), pages 75-110, December.
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    43. López-Herrera, Francisco & Ortiz-Arango, Francisco & Venegas-Martínez, Francisco, 2011. "Modelado de la volatilidad del Índice de Precios y Cotizaciones de la Bolsa Mexicana de Valores con cambios markovianos de régimen," Sección de Estudios de Posgrado e Investigación de la Escuela Superios de Economía del Instituto Politécnico Nacional, in: Perrotini-Hernández, Ignacio (ed.), Crecimiento y Desarrollo Económico en México, volume 1, chapter 10, pages 153-164, Escuela Superior de Economía, Instituto Politécnico Nacional.
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    1. Guiso, Luigi & Bertola, Giuseppe & Pistaferri, Luigi, 2002. "Uncertainty and Consumer Durables Adjustment," CEPR Discussion Papers 3332, C.E.P.R. Discussion Papers.
    2. Uri, Noel D., 1998. "Conservation tillage and the use of energy and other inputs in US agriculture," Energy Economics, Elsevier, vol. 20(4), pages 389-410, September.
    3. Derek Hum & Wayne Simpson, 2007. "The legacy of immigration: labour market performance and education in the second generation," Applied Economics, Taylor & Francis Journals, vol. 39(15), pages 1985-2009.
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    6. Brouhle, Keith & Khanna, Madhu, 2012. "Determinants of participation versus consumption in the Nordic Swan eco-labeled market," Ecological Economics, Elsevier, vol. 73(C), pages 142-151.
    7. Bundervoet, Tom, 2010. "Assets, Activity Choices, and Civil War: Evidence from Burundi," World Development, Elsevier, vol. 38(7), pages 955-965, July.
    8. Keshari, Pradeep Kumar, 2012. "FDI and firm level export competitiveness in the Indian machinery industry," MPRA Paper 47069, University Library of Munich, Germany.
    9. Lahiri, Kajal & Song, Jae G., 1999. "Testing for normality in a probit model with double selection," Economics Letters, Elsevier, vol. 65(1), pages 33-39, October.
    10. David M. Drukker, 2002. "Bootstrapping a conditional moments test for normality after tobit estimation," Stata Journal, StataCorp LP, vol. 2(2), pages 125-139, May.
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  103. Trost, Robert P & Lee, Lung-Fei, 1984. "Technical Training and Earnings: A Polychotomous Choice Model with Selectivity," The Review of Economics and Statistics, MIT Press, vol. 66(1), pages 151-156, February.

    Cited by:

    1. Kim, E. Han & Morse, Adair & Zingales, Luigi, 2009. "Are elite universities losing their competitive edge?," Journal of Financial Economics, Elsevier, vol. 93(3), pages 353-381, September.
    2. Groot, Wim, 1995. "Type specific returns to enterprise-related training," Economics of Education Review, Elsevier, vol. 14(4), pages 323-333, December.
    3. Sergio, Urzúa, 2012. "La rentabilidad de la educación superior en Chile: revisión de las bases de 30 años de políticas públicas," Estudios Públicos, Centro de Estudios Públicos, vol. 0(125), pages 2-52.
    4. Margherita Comola & Luiz de Mello, 2010. "Educational attainment and selection into the labour market: The determinants of employment and earnings in Indonesia," Working Papers halshs-00564835, HAL.
    5. Constantine, J.M., 1994. "Measuring the Effect of Attending Historically Black Colleges and Universities on Future Wages of Black Students," Williams Project on the Economics of Higher Education DP-30, Department of Economics, Williams College.
    6. Daniels, Kenneth N. & Vijayakumar, Jayaraman, 2007. "Does underwriter reputation matter in the municipal bond market?," Journal of Economics and Business, Elsevier, vol. 59(6), pages 500-519.
    7. Fatma El-Hamidi, 2004. "General or Vocational? Evidence on School Choice, Returns, and “Sheep Skin” Effects from Egypt 1998," Working Papers 0406, Economic Research Forum, revised 01 Aug 2004.
    8. Epperson, James E. & Huang, C.I. & Fu, Tsu-Tan & Fletcher, Stanley M., 1986. "On A Name Change For The Journal," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 18(01), pages 1-8, July.
    9. Christopher Ksoll, 2007. "Family Networks and Orphan Caretaking in Tanzania," Economics Series Working Papers 361, University of Oxford, Department of Economics.
    10. William H. Greene & David A. Hensher, 2008. "Modeling Ordered Choices: A Primer and Recent Developments," Working Papers 08-26, New York University, Leonard N. Stern School of Business, Department of Economics.
    11. Khanal, Aditya R. & Mishra, Ashok & Koirala, Krishna H., 2014. "Participation in Agritourism and Off-farm Work: Do Small Farms Benefit?," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162453, Southern Agricultural Economics Association.
    12. Celeste K. Carruthers & Christopher Jepsen, 2020. "Vocational Education: An International Perspective," CESifo Working Paper Series 8718, CESifo.
    13. Rachel Weber & Saurav Dev Bhatta & David Merriman, 2003. "Does Tax Increment Financing Raise Urban Industrial Property Values?," Urban Studies, Urban Studies Journal Limited, vol. 40(10), pages 2001-2021, September.
    14. Groot, W. & Ours, J.C., 1993. "Career interruptions and subsequent earnings : a case study for the Netherlands," Serie Research Memoranda 0079, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    15. Dalton, Timothy J. & Lilja, Nina K. & Johnson, Nancy & Howeler, Reinhardt, 2011. "Farmer Participatory Research and Soil Conservation in Southeast Asian Cassava Systems," World Development, Elsevier, vol. 39(12), pages 2176-2186.
    16. Timothy Park & Ashok K. Mishra & Shawn J. Wozniak, 2014. "Do farm operators benefit from direct to consumer marketing strategies?," Agricultural Economics, International Association of Agricultural Economists, vol. 45(2), pages 213-224, March.
    17. Xiao-Yuan Dong & Paul Bowles, 2002. "Segmentation et discrimination dans le marché du travail émergent de l'industrie chinoise," Revue d’économie du développement, De Boeck Université, vol. 10(3), pages 73-111.
    18. Tansel, Aysit, 1999. "Public-Private Employment Choice, Wage Differentials and Gender in Turkey," Center Discussion Papers 28377, Yale University, Economic Growth Center.
    19. Guataqui, Juan Carlos & García Suaza, Andrés Felipe & Rodríguez, Mauricio, 2009. "Estimaciones de los determinantes de los ingresos laborales en Colombia con consideraciones diferenciales para asalariados y cuenta propia," Documentos de Trabajo 5756, Universidad del Rosario.
    20. Rochat, Denis & Demeulemeester, Jean-Luc, 2001. "Rational choice under unequal constraints: the example of Belgian higher education," Economics of Education Review, Elsevier, vol. 20(1), pages 15-26, February.
    21. Vella, Francis & Gregory, R. G., 1996. "Selection bias and human capital investment: Estimating the rates of return to education for young males," Labour Economics, Elsevier, vol. 3(2), pages 197-219, September.
    22. Constantine, J.M., 1998. "The Effect of Historically Black Colleges on Wages of Black Students: an Analysis by Gender," Williams Project on the Economics of Higher Education DP-48, Department of Economics, Williams College.
    23. Aditya R. Khanal & Ashok K. Mishra, 2014. "Agritourism and off-farm work: survival strategies for small farms," Agricultural Economics, International Association of Agricultural Economists, vol. 45(S1), pages 65-76, November.
    24. Hessel Oosterbeek & Dinand Webbink, 1997. "Is there a Hidden Technical Potential?," Tinbergen Institute Discussion Papers 97-012/3, Tinbergen Institute.
    25. Elena Raptou & Konstadinos Mattas & Constantinos Katrakilidis, 2009. "Investigating Smoker's Profile: The Role of Psychosocial Characteristics and the Effectiveness of Tobacco Policy Tools," American Journal of Economics and Sociology, Wiley Blackwell, vol. 68(2), pages 603-638, April.
    26. Gerard Lassibille & Jee-Peng Tan, 2001. "Are Private Schools More Efficient Than Public Schools? Evidence from Tanzania," Education Economics, Taylor & Francis Journals, vol. 9(2), pages 145-172.
    27. Florkowski, Wojciech J. & Park, Timothy A. & Bilgic, Abdulbaki, 2003. "Marketing Portfolio Choices by Independent Peach Growers: An Application of the Polychotomous Selection Model," 2003 Annual meeting, July 27-30, Montreal, Canada 22028, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    28. Colwell, Peter F. & Munneke, Henry J., 1997. "The Structure of Urban Land Prices," Journal of Urban Economics, Elsevier, vol. 41(3), pages 321-336, May.
    29. Gregory L. Rosston & Scott J. Savage & Bradley S. Wimmer, 2018. "Price competition in the market for business telecommunications services," Journal of Regulatory Economics, Springer, vol. 54(1), pages 81-104, August.
    30. Dominic J. Brewer & Eric Eide & Ronald G. Ehrenberg, 1996. "Does It Pay To Attend An Elite Private College? Cross Cohort Evidence on the Effects of College Quality on Earnings," NBER Working Papers 5613, National Bureau of Economic Research, Inc.
    31. Jacopo Mazza, 2012. "Does Risk Matter? A Semi-parametric Model for Educational Choices in the Presence of Uncertainty," Economics Discussion Paper Series 1225, Economics, The University of Manchester.
    32. Kenneth Daniels & Richard A. Phillips, 2007. "The Valuation Impact of Financial Advisors: An Empirical Analysis of REIT Mergers and Acquisitions," Journal of Real Estate Research, American Real Estate Society, vol. 29(1), pages 57-64.
    33. Gérard Lassibille & Jee-Peng Tan, 2005. "The Returns to Education in Rwanda," Post-Print halshs-00006413, HAL.
    34. Alonso, Bucarey & Sergio, Urzúa, 2013. "El retorno económico de la educación media técnico profesional en Chile," Estudios Públicos, Centro de Estudios Públicos, vol. 0(129), pages 1-48.
    35. Altin Vejsiu, 2011. "Incentives to self-employment decision in Sweden," International Review of Applied Economics, Taylor & Francis Journals, vol. 25(4), pages 379-403.
    36. Jayaraman Vijayakumar & Kenneth Daniels, 2006. "The Role and Impact of Financial Advisors in the Market for Municipal Bonds," Journal of Financial Services Research, Springer;Western Finance Association, vol. 30(1), pages 43-68, August.
    37. Lefebvre, Pierre & Brouillette, Liliane & Felteau, Claude, 1994. "Comportements de fécondité des Québécoises, allocations familiales et impôts : résultats et simulations d’un modèle de choix discrets portant sur les années 1975-1987," L'Actualité Economique, Société Canadienne de Science Economique, vol. 70(4), pages 399-451, décembre.
    38. Dong, Xiao-yuan & Bowles, Paul, 2002. "Segmentation and discrimination in China's emerging industrial labor market," China Economic Review, Elsevier, vol. 13(2-3), pages 170-196.
    39. Bilgic, Abdulbaki & Florkowski, Wojciech J., 2003. "Explaning Anglers Behavior Using Count Data Models With Endogenous Switching Regime," 2003 Annual meeting, July 27-30, Montreal, Canada 22087, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    40. Andrew M. Gill & Duane E. Leigh, 2003. "Do the Returns to Community Colleges Differ between Academic and Vocational Programs?," Journal of Human Resources, University of Wisconsin Press, vol. 38(1).
    41. Antonio Caparrós Ruiz & Lucía Navarro Gómez & Mario Rueda Narváez, 2010. "Endogenous wage determinants and returns to education in Spain," International Journal of Manpower, Emerald Group Publishing Limited, vol. 31(4), pages 410-425, July.
    42. Kim, E. Han & Morse, Adair & Zingales, Luigi, 2006. "Are Elite Universities Losing Their Competitive Edge?," Working Papers 210, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    43. Arjun Bedi & Noel Gaston, 1997. "Returns to endogenous education: the case of Honduras," Applied Economics, Taylor & Francis Journals, vol. 29(4), pages 519-528.
    44. Paolo Buonanno & Dario Pozzoli, 2007. "Risk Aversion and College Subject," Working Papers (-2012) 0707, University of Bergamo, Department of Economics.
    45. Hui, Taylor Shek-wai, 2004. "The US/Canada Difference in Postsecondary Educational Choice," MPRA Paper 17995, University Library of Munich, Germany.
    46. Moenjak, Thammarak & Worswick, Christopher, 2003. "Vocational education in Thailand: a study of choice and returns," Economics of Education Review, Elsevier, vol. 22(1), pages 99-107, February.
    47. Kounetas, Kostas & Skuras, Dimitris & Tsekouras, Kostas, 2011. "Promoting energy efficiency policies over the information barrier," Information Economics and Policy, Elsevier, vol. 23(1), pages 72-84, March.

  104. Lee, Lung-Fei, 1984. "Maximum likelihood estimation and a specification test for non-normal distributional assumption for the accelerated failure time models," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 159-179.

    Cited by:

    1. Vladimir Hlasny, 2020. "Parametric Representation of the Top of Income Distributions: Options, Historical Evidence and Model Selection," Commitment to Equity (CEQ) Working Paper Series 90, Tulane University, Department of Economics.
    2. Fourgeaud Claude & Gourieroux Christian & Pradel Jacqueline, 1988. "Hétérogénéité dans les modèles à représentation linéaire," CEPREMAP Working Papers (Couverture Orange) 8805, CEPREMAP.

  105. Lee, Lung-Fei, 1984. "The likelihood function and a test for serial correlation in a disequilibrium market model," Economics Letters, Elsevier, vol. 14(2-3), pages 195-200.

    Cited by:

    1. Jacquinot, Pascal & Mihoubi, F., 1996. "Dynamique et hétérogénéité de l’emploi en déséquilibre," L'Actualité Economique, Société Canadienne de Science Economique, vol. 72(2), pages 113-148, juin.
    2. Vassilis A. Hajivassiliou, 1986. "Temporal Dependence in Limited Dependent Variable Models: Theoretical and Monte-Carlo Results," Cowles Foundation Discussion Papers 803, Cowles Foundation for Research in Economics, Yale University.
    3. Lee, Lung-Fei, 1997. "A smooth likelihood simulator for dynamic disequilibrium models," Journal of Econometrics, Elsevier, vol. 78(2), pages 257-294, June.

  106. Lee, Lung-Fei, 1984. "Regime classifications in the disequilibrium market models," Economics Letters, Elsevier, vol. 14(2-3), pages 187-193.

    Cited by:

    1. Smith Conway, Karen & Kimmel, Jean, 1998. "Male labor supply estimates and the decision to moonlight," Labour Economics, Elsevier, vol. 5(2), pages 135-166, June.
    2. Karen Smith Conway & Jean Kimmel, 1992. "Moonlighting Behavior: Theory and Evidence," Upjohn Working Papers 92-09, W.E. Upjohn Institute for Employment Research.
    3. Lee, Lung-Fei, 1997. "A smooth likelihood simulator for dynamic disequilibrium models," Journal of Econometrics, Elsevier, vol. 78(2), pages 257-294, June.

  107. Bera, Anil K & Jarque, Carlos M & Lee, Lung-Fei, 1984. "Testing the Normality Assumption in Limited Dependent Variable Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(3), pages 563-578, October.

    Cited by:

    1. Ekaterina Kalugina & Natalia Radtchenko & Catherine Sofer, 2008. "Une analyse du partage intrafamilial du revenu à partir de données subjectives," PSE-Ecole d'économie de Paris (Postprint) halshs-00193481, HAL.
    2. Yin-Wong Cheung & Jakob de Haan & XingWang Qian & Shu Yu, 2011. "China's Outward Direct Investment in Africa," Working Papers 132011, Hong Kong Institute for Monetary Research.
    3. James J. Heckman, 2001. "Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 673-748, August.
    4. Ralph Bradley & Steven Holden & Robert McClelland, 2000. "A Robust Estimation of the Effects of Taxation on Charitable Contributions," Econometric Society World Congress 2000 Contributed Papers 1144, Econometric Society.
    5. Eichler, Martin & Lechner, Michael, 1999. "An Evaluation of Public Employment Programmes in the East German State of Sachsen-Anhalt," IZA Discussion Papers 94, Institute of Labor Economics (IZA).
    6. Holden, Darryl & Perman, Roger, 2014. "The convenient calculation of some test statistics in models of discrete choice," SIRE Discussion Papers 2015-07, Scottish Institute for Research in Economics (SIRE).
    7. Johnson, Paul A., 1996. "A test of the normality assumption in the ordered probit model," MPRA Paper 10080, University Library of Munich, Germany.
    8. Esmeralda A. Ramalho & Joaquim J. S. Ramalho & José M. R. Murteira, 2014. "A Generalized Goodness-of-functional Form Test for Binary and Fractional Regression Models," Manchester School, University of Manchester, vol. 82(4), pages 488-507, July.
    9. Michael Lechner & Jeffrey Smith, 2003. "What is the Value Added by Caseworkers?," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20031, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    10. David Aristei & Luca Pieroni, 2008. "A double-hurdle approach to modelling tobacco consumption in Italy," Applied Economics, Taylor & Francis Journals, vol. 40(19), pages 2463-2476.
    11. Lechner, Michael, 1999. "An Evaluation of Public-Sector-Sponsored Continuous Vocational Training Programs in East Germany," IZA Discussion Papers 93, Institute of Labor Economics (IZA).
    12. Man-Keung Tang & Shang-Jin Wei, 2009. "The Value of Making Commitments Externally: Evidence from WTO Accessions," Working Papers 152009, Hong Kong Institute for Monetary Research.
    13. Pandit, Mahesh & Paudel, Krishna P. & Mishra, Ashok K., 2013. "Do Agricultural Subsidies Affect the Labor Allocation Decision? Comparing Parametric and Semiparametric Methods," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(01), pages 1-18, April.
    14. Ye, Xin & Garikapati, Venu M. & You, Daehyun & Pendyala, Ram M., 2017. "A practical method to test the validity of the standard Gumbel distribution in logit-based multinomial choice models of travel behavior," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 173-192.
    15. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    16. Lauk Martina, 2003. "Ökonometrische Analyse der Entscheidungspraxis des Bundeskartellamtes / Econometric Analysis of the Decisions of the German Federal Cartel Office," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 223(6), pages 680-711, December.
    17. Galina Besstremyannaya, 2012. "Heterogeneous effect of coinsurance rate on the demand for health care: a finite mixture approach," Working Papers w0163, New Economic School (NES).
    18. Humphery-Jenner, M., 2011. "Anti-takeover Provisions as a Source of Innovation and Value Creation," Discussion Paper 2011-045, Tilburg University, Center for Economic Research.
    19. Montes-Rojas, G., 2008. "Robust misspecification tests for the Heckman’s two-step estimator," Working Papers 08/01, Department of Economics, City University London.
    20. Martin Browning & Anne Moller Dano & Eskil Heinesen, 2006. "Job displacement and stress‐related health outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 15(10), pages 1061-1075, October.
    21. Cheti Nicoletti & Marco Francesconi, 2006. "Intergenerational mobility and sample selection in short panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1265-1293.
    22. Liu, Ruixuan & Yu, Zhengfei, 2022. "Sample selection models with monotone control functions," Journal of Econometrics, Elsevier, vol. 226(2), pages 321-342.
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    24. Michael Pfaffermayr, 2014. "A GMM-Based Test for Normal Disturbances of the Heckman Sample Selection Model," Econometrics, MDPI, vol. 2(4), pages 1-18, October.
    25. Jose Miguel Benavente, 2006. "The role of research and innovation in promoting productivity in chile," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(4-5), pages 301-315.
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    29. Ramzi Boussaidi, 2022. "Implications of the overconfidence bias in presence of private information: Evidence from MENA stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3660-3678, July.
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    32. Wilde, Joachim, 2007. "A Simple Representation of the Bera-Jarque-Lee Test for Probit Models," IWH Discussion Papers 13/2007, Halle Institute for Economic Research (IWH).
    33. Labeaga, Jose M., 1999. "A double-hurdle rational addiction model with heterogeneity: Estimating the demand for tobacco," Journal of Econometrics, Elsevier, vol. 93(1), pages 49-72, November.
    34. Waldo, Staffan, 2000. "Municipalities as Educational Producers - An Efficiency Approach," Working Papers 2000:19, Lund University, Department of Economics, revised 19 Dec 2001.
    35. Mora Rodriguez, Jhon James, 2013. "Introduccion a la teoría del consumidor [Introduction to Consumer Theory]," MPRA Paper 48129, University Library of Munich, Germany, revised 08 Jul 2013.
    36. Michael J. Peel, 2014. "Addressing unobserved endogeneity bias in accounting studies: control and sensitivity methods by variable type," Accounting and Business Research, Taylor & Francis Journals, vol. 44(5), pages 545-571, October.
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    38. Elias Katsikas & Theologos Dergiades, 2009. "Higher Education Policy in Greece: Filling the Danaids' Jar," Discussion Paper Series 2009_16, Department of Economics, University of Macedonia, revised Nov 2009.
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    41. Huang, Fung-Mey & Liao, Jen-Che & Yi, Chin-Chun, 2020. "The impact of labor market work and educational tracking on student educational outcomes: Evidence from Taiwan," Economics of Education Review, Elsevier, vol. 77(C).
    42. Humphery-Jenner, M., 2011. "Anti-takeover Provisions as a Source of Innovation and Value Creation," Other publications TiSEM 9eb6f6bf-8859-429e-a029-a, Tilburg University, School of Economics and Management.
    43. Anna Gloria Billé, 2013. "Computational Issues in the Estimation of the Spatial Probit Model: A Comparison of Various Estimators," The Review of Regional Studies, Southern Regional Science Association, vol. 43(2,3), pages 131-154, Winter.
    44. Vijverberg, Wim P., 2000. "Betit: A Family That Nests Probit and Logit," IZA Discussion Papers 222, Institute of Labor Economics (IZA).
    45. Peeters, H.M.M., 1989. "Het gebruik van een parametrische en een semi-parametrische schattingsmethode voor het binaire keuzemodel: Probit Maximum Likelihood versus Maximum Score [The use of a parametric and a semi-paramet," MPRA Paper 28104, University Library of Munich, Germany.
    46. Riccardo LUCCHETTI & Claudia PIGINI, 2011. "Conditional Moment Tests for Normality in Bivariate Limited Dependent Variable Models: a Monte Carlo Study," Working Papers 357, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    47. Guellil, Mohammed Seghir & Sari-Hassoun, Salah Eddine & Chica-Olmo, Jorge & Saraç, Mehmet, 2022. "What are the main factors driving behind the MENA countries current account deficit? A panel logit approach analysis [¿Cuáles son los principales factores que impulsan el déficit de cuenta corrient," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 33(1), pages 134-153, June.
    48. Elias Katsikas & Theologos Dergiades, 2012. "Revising higher education policy in Greece: filling the Danaids’ Jar," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 39(3), pages 279-292, August.
    49. Riccardo Lucchetti & Claudia Pigini, 2013. "A test for bivariate normality with applications in microeconometric models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(4), pages 535-572, November.
    50. Antoine Ngakosso, 2016. "Monetary Policy and Financial Stability: A CEMAC Zone Case Study," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(7), pages 244-244, July.
    51. Galina Besstremyannaya, 2012. "Estimating income equity in social health insurance system," Working Papers w0172, Center for Economic and Financial Research (CEFIR).
    52. Souha El Khanji, 2022. "Donors’ Interest in Water and Sanitation Subsectors," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(2), pages 611-654, April.
    53. Otavio De Medeiros & Carmem Tiberio, 2005. "Factors Influencing Brazilian Firms in their Decision to List on Foreign Stock Exchanges," Finance 0503017, University Library of Munich, Germany.
    54. SIGUE, Moussa & SIRPE, Gnanderman, 2019. "Impact of Road Infrastructure Investments on the Structural Competitiveness of the Burkina Faso Economy," MPRA Paper 96139, University Library of Munich, Germany.
    55. Galina Besstremyannaya, 2012. "Estimating income equity in social health insurance system," Working Papers w0172, New Economic School (NES).
    56. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.
    57. Lechner, Michael, 1995. "Effects of continuous off-the-job training in East Germany after unification," ZEW Discussion Papers 95-27, ZEW - Leibniz Centre for European Economic Research.
    58. Gabriele Ruiu, 2014. "The Role of Trust in Determining the Propensity to Join Unofficial Strikes," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 8(3), pages 125-148, December.
    59. P. Glewwe, 1997. "A test of the normality assumption in ordered probit model," Econometric Reviews, Taylor & Francis Journals, vol. 16(1), pages 1-19.
    60. Franco Peracchi, 1988. "Bounded Influence Estimators for the Censored Regression Model," UCLA Economics Working Papers 487, UCLA Department of Economics.
    61. Seonho Shin, 2021. "Were they a shock or an opportunity?: The heterogeneous impacts of the 9/11 attacks on refugees as job seekers—a nonlinear multi-level approach," Empirical Economics, Springer, vol. 61(5), pages 2827-2864, November.
    62. Michael Lechner & Friedhelm Pfeiffer & Gert Wagner, 1991. "Die Arbeitsmarkterwartung in der DDR kurz vor der Währungsunion," Discussion Papers of DIW Berlin 22, DIW Berlin, German Institute for Economic Research.
    63. Galina Besstremyannaya, 2012. "Heterogeneous effect of coinsurance rate on the demand for health care: a finite mixture approach," Working Papers w0163, Center for Economic and Financial Research (CEFIR).
    64. Ron Mittelhammer & George Judge & Miguel Henry, 2022. "An Entropy-Based Approach for Nonparametrically Testing Simple Probability Distribution Hypotheses," Econometrics, MDPI, vol. 10(1), pages 1-19, January.
    65. SIGUE, Moussa & SIRPE, Gnanderman, 2019. "Non-linear effects of investment in road infrastructure on the structural competitiveness of the economy: the case of Burkina Faso," MPRA Paper 96142, University Library of Munich, Germany.
    66. Kounetas, Kostas & Skuras, Dimitris & Tsekouras, Kostas, 2011. "Promoting energy efficiency policies over the information barrier," Information Economics and Policy, Elsevier, vol. 23(1), pages 72-84, March.

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    Cited by:

    1. Ribon, S. & Yosha, O., 1999. "Financial Liberalization and Competition in Banking: an Empirical Investigation," Papers 23-99, Tel Aviv.
    2. Dustmann, C. & van Soest, A.H.O., 1999. "Parametric and Semiparametric Estimation in Models with Misclassified Categorical Dependent Variables," Other publications TiSEM dfb6b8e3-5319-47c7-a998-9, Tilburg University, School of Economics and Management.
    3. Li Gan & Feng Huang & Adalbert Mayer, 2011. "A Simple Test of Private Information in the Insurance Markets with Heterogeneous Insurance Demand," NBER Working Papers 16738, National Bureau of Economic Research, Inc.
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    1. Astrid Grasdal, 2001. "The performance of sample selection estimators to control for attrition bias," Health Economics, John Wiley & Sons, Ltd., vol. 10(5), pages 385-398, July.
    2. Yao, Yang, 1999. "Rural industry and labor market integration in eastern China," Journal of Development Economics, Elsevier, vol. 59(2), pages 463-496, August.
    3. Verbeek, M.J.C.M. & Nijman, T.E., 1993. "Testing for selectivity bias in panel data models," Other publications TiSEM 45c3a75b-eb19-456f-ba92-a, Tilburg University, School of Economics and Management.
    4. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    5. Montes-Rojas, G., 2008. "Robust misspecification tests for the Heckman’s two-step estimator," Working Papers 08/01, Department of Economics, City University London.
    6. Cheti Nicoletti & Marco Francesconi, 2006. "Intergenerational mobility and sample selection in short panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1265-1293.
    7. Lahiri, Kajal & Song, Jae G., 1999. "Testing for normality in a probit model with double selection," Economics Letters, Elsevier, vol. 65(1), pages 33-39, October.
    8. Owen O'Donnell, 1993. "Income transfers and the labour market participation of disabled individuals in the UK," Health Economics, John Wiley & Sons, Ltd., vol. 2(2), pages 139-148, July.
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    12. Per G. Fredriksson & Jim R. Wollscheid, 2018. "Legal origins and environmental policies: evidence from OECD and developing countries," Letters in Spatial and Resource Sciences, Springer, vol. 11(3), pages 369-375, October.
    13. Vella, F. & Verbeek, M.J.C.M., 1992. "Estimating the impact of endogenous union choice on wages using panel data (Revised version)," Discussion Paper 1992-32, Tilburg University, Center for Economic Research.
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  110. Lee, Lung-Fei, 1983. "The determination of moments of the doubly truncated multivariate normal tobit model," Economics Letters, Elsevier, vol. 11(3), pages 245-250.

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    1. Punzo, Antonio & Bagnato, Luca, 2022. "Dimension-wise scaled normal mixtures with application to finance and biometry," Journal of Multivariate Analysis, Elsevier, vol. 191(C).
    2. Arismendi, J.C., 2013. "Multivariate truncated moments," Journal of Multivariate Analysis, Elsevier, vol. 117(C), pages 41-75.
    3. Hayatullah Ahmadzai, 2022. "Hope for Change: Is Diversifying Production Portfolios an Ideal Strategy to Boost Farming Efficiency in Afghanistan?," Progress in Development Studies, , vol. 22(1), pages 7-31, January.

  111. Lee, Lung-Fei, 1983. "On maximum likelihood estimation of stochastic frontier production models," Journal of Econometrics, Elsevier, vol. 23(2), pages 269-274, October.

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    1. Hoehn, John P., 1989. "The Production of Natural Resource Services: An Analysis of Supply-Side Economic Benefits and Costs," Staff Paper Series 201029, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    2. Spyros Missiakoulis, 2021. "Interpreting Stochastic Frontier Model as Random Coefficient Model and Vice Versa," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 10(4), pages 1-2.
    3. Mohamed El Arbi Chaffai, 1989. "Estimation de frontières de production et de l'inefficacité technique. Application aux entreprises tunisiennes," Économie et Prévision, Programme National Persée, vol. 91(5), pages 67-73.

  112. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-512, March.

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    1. Jean Kimmel & Lisa Powell, 2001. "Nonstandard Work and Child Care Choices of Married Mothers," Upjohn Working Papers 01-74, W.E. Upjohn Institute for Employment Research.
    2. Paul W. Miller & Barry R. Chiswick, 2002. "Immigrant earnings: Language skills, linguistic concentrations and the business cycle," Journal of Population Economics, Springer;European Society for Population Economics, vol. 15(1), pages 31-57.
    3. Oe, Akitsu & Mitsuhashi, Hitoshi, 2013. "Founders' experiences for startups' fast break-even," Journal of Business Research, Elsevier, vol. 66(11), pages 2193-2201.
    4. Groot, Wim, 1995. "Type specific returns to enterprise-related training," Economics of Education Review, Elsevier, vol. 14(4), pages 323-333, December.
    5. G. Dionne, 2000. "The Empirical Measure of Information Problems with Emphasis on Insurance Fraud," THEMA Working Papers 2000-20, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    6. Evenson, Robert E. & Kimhi, Ayal & Desilva, Sanjaya, 2000. "Supervision and Transaction Costs: Evidence from Rice Farms in Bicol, The Philippines," Center Discussion Papers 28467, Yale University, Economic Growth Center.
    7. Gabriella Conti & Stavros Poupakis & Peter Ekamper & Govert Bijwaard & L. H. Lumey, 2021. "Severe Prenatal Shocks and Adolescent Health: Evidence from the Dutch Hunger Winter," Working Papers 2021-056, Human Capital and Economic Opportunity Working Group.
    8. Peter Huber & Ulugbek Rahimov, 2017. "The Self-Selection of Workers to the Formal and Informal in Transition Economies: Evidence from Tajikistan," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(2), pages 140-164, April.
    9. Kartik Kalaignanam & Venkatesh Shankar & Rajan Varadarajan, 2007. "Asymmetric New Product Development Alliances: Win-Win or Win-Lose Partnerships?," Management Science, INFORMS, vol. 53(3), pages 357-374, March.
    10. David R. Bell & Jeongwen Chiang & V. Padmanabhan, 1999. "The Decomposition of Promotional Response: An Empirical Generalization," Marketing Science, INFORMS, vol. 18(4), pages 504-526.
    11. Banerjee, Swagata (Ban) & Martin, Steven W. & Roberts, Roland K. & Larson, James A. & Hogan, Robert J., Jr. & Johnson, Jason L. & Paxton, Kenneth W. & Reeves, Jeanne M., 2007. "Adoption of Conservation-Tillage Practices in Cotton Production," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34842, Southern Agricultural Economics Association.
    12. Ewa Cukrowska-Torzewska & Anna Lovasz, 2016. "Are children driving the gender wage gap?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 24(2), pages 259-297, April.
    13. Ikechukwu Darlington Nwaka & Fatma Guven-Lisaniler & Gulcay Tuna, 2016. "Gender wage differences in Nigerian self and paid employment: Do marriage and children matter?," The Economic and Labour Relations Review, , vol. 27(4), pages 490-510, December.
    14. Eugenio Miravete, 2014. "Testing for complementarities among countable strategies," Empirical Economics, Springer, vol. 46(4), pages 1521-1544, June.
    15. A. Amarender Reddy, 2014. "Rural Labor Markets: insights from Indian villages," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 21(1), pages 107-136, June.
    16. Anna Lukiyanova, 2015. "Earnings inequality and informal employment in Russia," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 23(2), pages 469-516, April.
    17. Delmar, Frédéric & Wennberg, Karl & Hellerstedt, Karin, 2011. "Endogenous growth through knowledge spillovers in entrepreneurship: An empirical test," Ratio Working Papers 165, The Ratio Institute.
    18. Bernadette Power & Gavin C Reid, 2003. "Turbulence, Flexibility and Performance of the Long-lived Small Firm," Tinbergen Institute Discussion Papers 03-039/3, Tinbergen Institute.
    19. Ariu, Andrea & Breinlich, Holger & Corcos, Gregory & Mion, Giordano, 2019. "The interconnections between services and goods trade at the firm-level," Journal of International Economics, Elsevier, vol. 116(C), pages 173-188.
    20. Henry J. Munneke & Joseph T. L. Ooi & C. F. Sirmans & Geoffrey K. Turnbull, 2019. "Testing for Price Anomalies in Sequential Sales," The Journal of Real Estate Finance and Economics, Springer, vol. 58(4), pages 517-543, May.
    21. Evan J. Miller-Tait & Sandeep Mohapatra & M. K. (Marty) Luckert & Brent M. Swallow, 2019. "Processing technologies for undervalued grains in rural India: on target to help the poor?," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(1), pages 151-166, February.
    22. Peter Glick & François Roubaud, 2004. "Export Processing Zone Expansion in an African Country: What are the Labor Market and Gender Impacts?," Working Papers DT/2004/15, DIAL (Développement, Institutions et Mondialisation), revised Dec 2004.
    23. Matkovskyy, Roman, 2019. "Centralized and decentralized bitcoin markets: Euro vs USD vs GBP," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 270-279.
    24. Zheren WU, 2008. "Self-selection and Earnings of Migrants: Evidence from Rural China," Discussion Papers in Economics and Business 08-25, Osaka University, Graduate School of Economics.
    25. Dionne, Georges, 1998. "La mesure empirique des problèmes d’information," L'Actualité Economique, Société Canadienne de Science Economique, vol. 74(4), pages 585-606, décembre.
    26. Thomas, Duncan & Strauss, John, 1997. "Health and wages: Evidence on men and women in urban Brazil," Journal of Econometrics, Elsevier, vol. 77(1), pages 159-185, March.
    27. Joachim Merz & Derik Burgert, 2003. "Working Hour Arrangements and Working Hours - A Microeconometric Analysis Based on German Time Diary Data," FFB-Discussionpaper 41, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    28. Tao, Hung-Lin, 2014. "Height, weight, and entry earnings of female graduates in Taiwan," Economics & Human Biology, Elsevier, vol. 13(C), pages 85-98.
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    30. Tsionas, Mike G. & Mallick, Sushanta K., 2019. "A Bayesian semiparametric approach to stochastic frontiers and productivity," European Journal of Operational Research, Elsevier, vol. 274(1), pages 391-402.
    31. Breustedt, Gunnar & Schulz, Norbert & Latacz-Lohmann, Uwe, 2013. "Kalibrierung von Vertragsnaturschutzprogrammen mittels eines zweistufigen Discrete-Choice-Experimentes," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 62(04), pages 1-17, November.
    32. Victor Chernozhukov & Ivan Fernandez-Val & Siyi Luo, 2018. "Distribution regression with sample selection, with an application to wage decompositions in the UK," CeMMAP working papers CWP68/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    33. Masamune Iwasawa & Mitsuo Inada & Seiichi Fukui, 2014. "How Migrant Heterogeneity Influences the Effect of Remittances on Educational Expenditure:Empirical Evidence from the Cambodian Socio-Economic Survey," KIER Working Papers 898, Kyoto University, Institute of Economic Research.
    34. Takashi Kurosaki & Humayun Khan, 2004. "Effects of Human Capital on Farm and Non-Farm Productivity and Occupational Stratification in Rural Pakistan," Hi-Stat Discussion Paper Series d04-46, Institute of Economic Research, Hitotsubashi University.
    35. Andrews, Martyn & Bradley, Steve & Upward, Richard, 1999. "Estimating Youth Training Wage Differentials during and after Training," Oxford Economic Papers, Oxford University Press, vol. 51(3), pages 517-544, July.
    36. Manuel Arellano & Stéphane Bonhomme, 2017. "Quantile Selection Models With an Application to Understanding Changes in Wage Inequality," Econometrica, Econometric Society, vol. 85, pages 1-28, January.
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    1. Xia, Xiaoyu, 2016. "Forming wage expectations through learning: Evidence from college major choices," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PA), pages 176-196.
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    5. van Wissen, Leo J. & Golob, Thomas F., 1990. "Simultaneous Equation Systems Involving Binary Choice Variables," University of California Transportation Center, Working Papers qt5t28k04n, University of California Transportation Center.
    6. Brouwer, F., 1982. "Log-linear analyses with metric and non-metric data : an application to spatial data," Serie Research Memoranda 0015, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

  119. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.

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    1. Satya Paul & Sriram Shankar, 2020. "Estimating efficiency effects in a panel data stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 53(2), pages 163-180, April.
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    1. Trockel, W., 2008. "The Nash product is a utility representation of the Pareto ordering," Economics Letters, Elsevier, vol. 99(2), pages 220-222, May.
    2. Metin Uyanik & M. Ali Khan, 2021. "The Continuity Postulate in Economic Theory: A Deconstruction and an Integration," Papers 2108.11736, arXiv.org, revised Jan 2022.
    3. Athanasios Andrikopoulos, 2016. "A characterization of the generalized optimal choice set through the optimization of generalized weak utilities," Theory and Decision, Springer, vol. 80(4), pages 611-621, April.
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    21. Henrik Schwabe & Fulvio Castellacci, 2020. "Automation, workers’ skills and job satisfaction," Working Papers on Innovation Studies 20200526, Centre for Technology, Innovation and Culture, University of Oslo.
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    26. David Roodman, 2011. "Fitting fully observed recursive mixed-process models with cmp," Stata Journal, StataCorp LP, vol. 11(2), pages 159-206, June.
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    28. Stabridis, Omar & van Gameren, Edwin, 2018. "Exposure to firewood: Consequences for health and labor force participation in Mexico," World Development, Elsevier, vol. 107(C), pages 382-395.
    29. Alain Kikandi Kiuma & Christian Kamala Kaghoma & Joelle Mukenyi Kalala & Allegra Kabamba Mbuyi, 2015. "Mobilité interne et entrepreneuriat des jeunes en République démocratique du Congo," Working Papers PMMA 2015-07, PEP-PMMA.
    30. Aistov, Andrey & Aleksandrova, Ekaterina, 2016. "Time-distributed difference-in-differences approach: The case of wage returns to training," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 43, pages 5-28.
    31. Diendéré, Achille & Nguyen, Geneviève & Del Corso, Jean-Pierre & Kephaliacos, Charilaos, 2018. "Modeling the Relationship Between Pesticide Use and Farmers' Beliefs about Water Pollution in Burkina Faso," Ecological Economics, Elsevier, vol. 151(C), pages 114-121.
    32. Bjorn, Paul A. & Vuong, Quang H., 1997. "Modèles d’équations simultanées pour variables endogènes fictives : une formulation par la théorie des jeux avec application à la participation au marché du travail," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 161-205, mars-juin.
    33. Heijke, Hans & Meng, Christoph & Ris, Catherine, 2003. "Fitting to the job: the role of generic and vocational competencies in adjustment and performance," Labour Economics, Elsevier, vol. 10(2), pages 215-229, April.
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Books

  1. Hsiao,Cheng & Pesaran,M. Hashem & Lahiri,Kajal & Lee,Lung Fei (ed.), 2010. "Analysis of Panels and Limited Dependent Variable Models," Cambridge Books, Cambridge University Press, number 9780521131001, November.

    Cited by:

    1. Jose Aurazo & Farid Gasmi, 2024. "Financial inclusion transitions in Peru: does labor informality play a role?," BIS Working Papers 1200, Bank for International Settlements.
    2. Gasmi, Farid & Aurazo, Jose, 2022. "Labor informality and financial inclusion transitions: Evidence from Peru," TSE Working Papers 22-1349, Toulouse School of Economics (TSE).
    3. Mariusz Jarmuzek & Mr. Tonny Lybek, 2018. "Can Good Governance Lower Financial Intermediation Costs?," IMF Working Papers 2018/279, International Monetary Fund.

  2. Hsiao,Cheng & Pesaran,M. Hashem & Lahiri,Kajal & Lee,Lung Fei (ed.), 1999. "Analysis of Panels and Limited Dependent Variable Models," Cambridge Books, Cambridge University Press, number 9780521631693, November.

    Cited by:

    1. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    2. Sergi Jiménez-Martín & José M. Labeaga & Majid al Sadoon, 2020. "Consistent estimation of panel data sample selection models," Working Papers 2020-06, FEDEA.
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    12. Soumya Mukhopadhyay & V Kumar & Amalesh Sharma & Tuck Siong Chung, 2022. "Impact of review narrativity on sales in a competitive environment," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2538-2556, June.
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    17. Clements, Michael P., 2012. "Subjective and Ex Post Forecast Uncertainty: US Inflation and Output Growth," Economic Research Papers 270629, University of Warwick - Department of Economics.
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    19. Dilla, Diana, 2017. "Staatsverschuldung und Verschuldungsmentalität [Public Debt and Debt Mentality]," MPRA Paper 79432, University Library of Munich, Germany.
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    22. Massimiliano Mazzanti & Antonio Musolesi, 2012. "The heterogeneity of Carbon Kuznets Curves for advanced countries. Comparing homogeneous, heterogeneous and shrinkage/Bayesian estimators," Working Papers 201206, University of Ferrara, Department of Economics.
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    48. Tara M. Sinclair & Hans Christian Müller-Dröge & Herman Stekler, 2014. "Evaluating Forecasts of a Vector of Variables: A German Forecasting Competition," Working Papers 2014-17, The George Washington University, Institute for International Economic Policy.
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    62. Robert Pater & Tomasz Skica, 2014. "The productivity of public and private sector in Poland," Business and Economic Horizons (BEH), Prague Development Center, vol. 10(2), pages 120-137, July.
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    68. Tian, Jing & Goodwin, Thomas, 2018. "An unobserved component modeling approach to evaluate multi-horizon forecasts," Working Papers 2018-04, University of Tasmania, Tasmanian School of Business and Economics.
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    71. Maximilien Kaffo Melou & Mariusz A. Sumlinski & Chris Geiregat, 2014. "An Application of the "Fan-Chart Approach" to Debt Sustainability in Post-HIPC Low-Income Countries," IMF Working Papers 2014/102, International Monetary Fund.
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