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Dong Li

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.

Working papers

  1. Badi H. Baltagi & Dong Li, 2006. "Prediction in the Panel Data Model with Spatial Correlation: The Case of Liquor," Center for Policy Research Working Papers 84, Center for Policy Research, Maxwell School, Syracuse University.

    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. Michael Beenstock & Daniel Felsenstein, 2010. "Spatial error correction and cointegration in nonstationary panel data: regional house prices in Israel," Journal of Geographical Systems, Springer, vol. 12(2), pages 189-206, June.
    3. Riccardo Corradini, 2006. "Advanced estimates of regional accounts: an alternative approach by spatial panels," Computing in Economics and Finance 2006 287, Society for Computational Economics.
    4. 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.
    5. Akgun, Oguzhan & Pirotte, Alain & Urga, Giovanni, 2020. "Forecasting using heterogeneous panels with cross-sectional dependence," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1211-1227.
    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. Matteo Manera & Cristina Cattaneo & Elisa Scarpa, 2008. "Industrial Coal Demand in China: A Provincial Analysis," Working Papers 2008.8, Fondazione Eni Enrico Mattei.
    8. Girardin, Eric & Kholodilin, Konstantin A., 2010. "How helpful are spatial effects in forecasting the growth of Chinese provinces?," BOFIT Discussion Papers 15/2010, Bank of Finland Institute for Emerging Economies (BOFIT).
    9. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    10. Yuan Yang & Junjie Zhang & Can Wang, 2018. "Forecasting China’s Carbon Intensity: Is China on Track to Comply with Its Copenhagen Commitment?," The Energy Journal, , vol. 39(2), pages 63-86, March.
    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. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 995-1024, Elsevier.
    13. Baltagi B-H & Bresson G. & Pirotte A., 2007. "Forecasting with Spatial Panel Data," Working Papers ERMES 0710, ERMES, University Paris 2.
    14. Nianxin Wang & Yuxue Yang & Yulin Fang & Huifang Li & Angela Lu, 2023. "Growing user base in the early stage of sharing economy platforms: An integration of competitive repertoire and institutional legitimacy theories," Production and Operations Management, Production and Operations Management Society, vol. 32(11), pages 3484-3503, November.
    15. Baltagi, Badi H., 2006. "Forecasting with panel data," Discussion Paper Series 1: Economic Studies 2006,25, Deutsche Bundesbank.
    16. Ana Angulo & F. Trívez, 2010. "The impact of spatial elements on the forecasting of Spanish labour series," Journal of Geographical Systems, Springer, vol. 12(2), pages 155-174, June.
    17. Corrado, Luisa & Fingleton, Bernard, 2011. "Where is the economics in spatial econometrics?," LSE Research Online Documents on Economics 33581, London School of Economics and Political Science, LSE Library.
    18. Anna Gloria Billé & Alessio Tomelleri & Francesco Ravazzolo, 2021. "Forecasting Regional GDPs: a Comparison with Spatial Dynamic Panel Data Models," FBK-IRVAPP Working Papers 2021-02, Research Institute for the Evaluation of Public Policies (IRVAPP), Bruno Kessler Foundation.
    19. Corrado, L. & Fingleton, B., 2011. "Multilevel Modelling with Spatial Effects," SIRE Discussion Papers 2011-13, Scottish Institute for Research in Economics (SIRE).
    20. Nina Vujanovic & Bruno Casella & Richard Bolwijn, . "Forecasting global FDI: a panel data approach," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.
    21. Seuck Song & Byoung Jung, 2002. "BLUP in the panel regression model with spatially and serially correlated error components," Statistical Papers, Springer, vol. 43(4), pages 551-566, October.
    22. Baltagi, Badi H. & Pirotte, Alain, 2014. "Prediction in a spatial nested error components panel data model," International Journal of Forecasting, Elsevier, vol. 30(3), pages 407-414.
    23. Michael Artis & Christian Dreger & Konstantin Kholodilin, 2009. "Common and spatial drivers in regional business cycles," Centre for Growth and Business Cycle Research Discussion Paper Series 118, Economics, The University of Manchester.
    24. Bell, Kathleen P. & Dalton, Timothy J., 2006. "Spatial Economic Analysis in Data-Rich Environments," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25241, International Association of Agricultural Economists.
    25. 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.
    26. Harald Badinger & Peter Egger, 2009. "Estimation of Higher-Order Spatial Autoregressive Panel Data Error Component Models," CESifo Working Paper Series 2556, CESifo.
    27. Müller, Jonas & Trutnevyte, Evelina, 2020. "Spatial projections of solar PV installations at subnational level: Accuracy testing of regression models," Applied Energy, Elsevier, vol. 265(C).
    28. Christian Dreger & Konstantin Kholodilin & Michael Artis, 2011. "What drives regional business cycles? The role of common and spatial components," ERSA conference papers ersa10p317, European Regional Science Association.
    29. Sulekha Hembram & Sohini Mukherjee & Sushil Kr. Haldar, 2020. "Regional convergence of social and economic development in the districts of West Bengal, India: Do clubs exist? Does space matter? An empirical analysis using DLHS I–IV and NFHS IV data," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 22(1), pages 58-90, June.
    30. Mark V. JANIKAS & Sergio J. REY, 2008. "On The Relationships Between Spatial Clustering, Inequality, And Economic Growth In The United States : 1969-2000," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 27, pages 13-34.
    31. Fingleton, Bernard & Palombi, Silvia, 2013. "Spatial panel data estimation, counterfactual predictions, and local economic resilience among British towns in the Victorian era," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 649-660.
    32. Konstantin A. Kholodilin & Andreas Mense, 2012. "Forecasting the Prices and Rents for Flats in Large German Cities," Discussion Papers of DIW Berlin 1207, DIW Berlin, German Institute for Economic Research.
    33. B. Fingleton & S. Brakman & P. Cheshire & H. Garretsen & D. Igliori & J. Le Gallo & P. McCann & J. McCombie & V. Monastiriotis & M. Roberts, 2007. "Editorial," Spatial Economic Analysis, Taylor & Francis Journals, vol. 2(2), pages 111-115.
    34. B. Fingleton & P. Cheshire & H. Garretsen & D. Igliori & J. Le Gallo & P. McCann & J. McCombie & V. Monastiriotis & B. Moore & M. Roberts, 2008. "Editorial," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(3), pages 269-273.
    35. Antara Bhattacharyya & Sushil Kr. Haldar, 2020. "Socio-economic development and child sex ratio in India: revisiting the debate using spatial panel data regression," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 22(2), pages 305-327, December.
    36. Fingleton, Bernard, 2008. "Prediction using panel data regression with spatial random effects," LSE Research Online Documents on Economics 33150, London School of Economics and Political Science, LSE Library.
    37. Raja Chakir & Stéphane De Cara & Bruno Vermont, 2017. "Price-Induced Changes in Greenhouse Gas Emissions from Agriculture, Forestry, and Other Land Use: A Spatial Panel Econometric Analysis," Revue économique, Presses de Sciences-Po, vol. 68(3), pages 471-490.
    38. Debin Ma & Jie Zhang & Ziyi Wang & Dongqi Sun, 2022. "Spatio-Temporal Evolution and Influencing Factors of Open Economy Development in the Yangtze River Delta Area," Land, MDPI, vol. 11(10), pages 1-24, October.
    39. 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.
    40. Jean-Sauveur Ay & Raja Chakir & Julie Le Gallo, 2014. "The effects of scale, space and time on the predictive accuracy of land use models," Working Papers 2014/02, INRA, Economie Publique.
    41. Ana Angulo & Jesús Mur & Javier Trivez, 2014. "Measure of the resilience to Spanish economic crisis: the role of specialization," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 263-275.
    42. Kouassi, Eugene & Mougoué, Mbodja & Sango, Joel & Bosson Brou, J.M. & Amba, Claude M.O. & Salisu, Afeez Adebare, 2014. "Testing for heteroskedasticity and spatial correlation in a two way random effects model," Computational Statistics & Data Analysis, Elsevier, vol. 70(C), pages 153-171.
    43. Konstantin A. Kholodilin & Boriss Siliverstovs & Stefan Kooths, 2007. "A Dynamic Panel Data Approach to the Forecasting of the GDP of German Länder," Discussion Papers of DIW Berlin 664, DIW Berlin, German Institute for Economic Research.
    44. Badi H. Baltagi & Seuck Heun Song & Won Koh, 2002. "Testing Panel Data Regression Models with Spatial Error Correlation," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B6-4, International Conferences on Panel Data.
    45. A. M. Angulo & J. Mur & F. J. Trívez, 2018. "Measuring resilience to economic shocks: an application to Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(2), pages 349-373, March.
    46. 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.
    47. Fingleton, Bernard, 2010. "Predicting the Geography of House Prices," MPRA Paper 21113, University Library of Munich, Germany.
    48. Matías Mayor & Roberto Patuelli, 2012. "Short-Run Regional Forecasts: Spatial Models through Varying Cross-Sectional and Temporal Dimensions," Working Paper series 15_12, Rimini Centre for Economic Analysis, revised Oct 2012.
    49. Bernard Fingleton, 2008. "A Generalized Method of Moments Estimator for a Spatial Panel Model with an Endogenous Spatial Lag and Spatial Moving Average Errors," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(1), pages 27-44.
    50. W. Saart, Patrick & Kim, Namhyun & Bateman, Ian, 2021. "Understanding spatial heterogeneity in GB agricultural land-use for improved policy targeting," Cardiff Economics Working Papers E2021/8, Cardiff University, Cardiff Business School, Economics Section.
    51. Osypova, Olha & Horna, Maryna & Vashchaiev, Serhii & Ishchuk, Yaroslava & Pomazun, Oksana, 2023. "Convergence of food consumption across Ukrainian regions: approach using spatial panel data models," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 9(01), March.
    52. Jiao, Xiaoying & Li, Gang & Chen, Jason Li, 2020. "Forecasting international tourism demand: a local spatiotemporal model," Annals of Tourism Research, Elsevier, vol. 83(C).
    53. Badi H. Baltagi & Long Liu, 2016. "Random Effects, Fixed Effects and Hausman's Test for the Generalized Mixed Regressive Spatial Autoregressive Panel Data Model," Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 638-658, April.
    54. W. Saart, Patrick & Kim, Namhyun & Bateman, Ian, 2021. "Modeling and predicting agricultural land use in England based on spatially high-resolution data," Cardiff Economics Working Papers E2021/7, Cardiff University, Cardiff Business School, Economics Section.
    55. Monastiriotis, Vassilis, 2014. "Regional growth and national development: transition in Central and Eastern Europe and the regional Kuznets curve in the East and the West," LSE Research Online Documents on Economics 56731, London School of Economics and Political Science, LSE Library.
    56. Badi H. Baltagi & Long Liu, 2014. "Random Effects, Fixed Effects and Hausman’s Test for the Generalized Mixed Regressive Spatial Autoregressive Panel," Center for Policy Research Working Papers 174, Center for Policy Research, Maxwell School, Syracuse University.
    57. Théophile AZOMAHOU, 2001. "Efficient Estimation of Spatial Autoregressive Models," Working Papers of BETA 2001-05, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    58. Giuseppe Arbia & Gianfranco Piras, 2005. "Convergence in per-capita GDP across European regions using panel data models extended to spatial autocorrelation effects," ISAE Working Papers 51, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    59. 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.
    60. 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.
    61. Russell Kashian & David Welsch, 2008. "A Regional Examination of Foreclosures," Working Papers 08-04, UW-Whitewater, Department of Economics.
    62. Ouardighi, Jalal El, 2002. "Dépendance spatiale sur données de panel : application à la relation Brevets-R&D au niveau régional," L'Actualité Economique, Société Canadienne de Science Economique, vol. 78(1), pages 67-86, Mars.
    63. Faria, Weslem & de Almeida, Alexandre, 2013. "Relationship between Openness to Trade and Deforestation: Empirical Evidence from the Brazilian Amazon," TD NEREUS 3-2013, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    64. Semerikova, Elena & Demidova, Olga, 2016. "Using spatial econometric models for regional unemployment forecasting," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 43, pages 29-51.
    65. Fernando A. López Hernández & Coro Chasco Yrigoyen, 2004. "Space-Time Lags: Specification Strategy In Spatial Regression Models," Econometrics 0411005, University Library of Munich, Germany.
    66. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    67. 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).
    68. Ana Angulo & Jesús Mur & Javier Trívez, 2013. "Forecasting heterogeneous regional data: the case of European employment," ERSA conference papers ersa13p953, European Regional Science Association.
    69. Weslem Faria & Alexandre Almeida, 2011. "Agricultural Expansion, Openness to Trade and Deforestation at the Brazilian Amazon: A Spatial Econometric Analysis," ERSA conference papers ersa11p1013, European Regional Science Association.
    70. Mahmut ERDOGAN & Jülide YILDIRIM & Nadir ÖCAL, 2008. "Financial Development and Economic Growth in Turkey: a Spatial Effect Analysis," EcoMod2008 23800034, EcoMod.

  2. Badi Baltagi & Dong Li, 2000. "LM Tests for Functional Form and Spatial Correlation," Econometric Society World Congress 2000 Contributed Papers 0099, Econometric Society.

    Cited by:

    1. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    2. Peter Robinson, 2007. "Correlation testing in time series, spatial and cross-sectional data," CeMMAP working papers CWP01/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Liu, Xiaodong & Prucha, Ingmar R., 2018. "A robust test for network generated dependence," Journal of Econometrics, Elsevier, vol. 207(1), pages 92-113.
    4. Harald Badinger & Peter Egger, 2009. "Estimation of Higher-Order Spatial Autoregressive Panel Data Error Component Models," CESifo Working Paper Series 2556, CESifo.
    5. Peter C. Boxall, Wing H. Chan, and Melville L. McMillan, 2005. "The Impact of Oil and Natural Gas Facilities on Rural Residential Property," Working Papers eg0039, Wilfrid Laurier University, Department of Economics, revised 2005.
    6. Harald Badinger & Peter Egger, 2008. "GM Estimation of Higher-Order Spatial Autoregressive Processes in Cross-Section Models with Heteroskedastic Disturbances," CESifo Working Paper Series 2356, CESifo.

  3. Badi H. Baltagi & Dong Li, "undated". "Series Estimation of Partially Linear Panel Data Models with Fixed Effects," Working Papers 0109, East Carolina University, Department of Economics.

    Cited by:

    1. Michael L. Polemis, 2018. "Revisiting the Environmental Kuznets Curve: a semi-parametric analysis on the role of market structure on environmental pollution," Letters in Spatial and Resource Sciences, Springer, vol. 11(1), pages 27-35, March.
    2. Deniz Baglan & Emre Yoldas, 2014. "Non-linearity in the Inflation-Growth Relationship in Developing Economies: Evidence from a Semiparametric Panel Model," Finance and Economics Discussion Series 2014-51, Board of Governors of the Federal Reserve System (U.S.).
    3. Jesson A. Pagaduan, 2023. "Spatial Income Inequality, Convergence, and Regional Development in a Lower Middle‐Income Country: Satellite Evidence from the Philippines," The Developing Economies, Institute of Developing Economies, vol. 61(2), pages 117-154, June.
    4. David Atkin & Dave Donaldson, 2015. "Who's Getting Globalized? The Size and Implications of Intra-national Trade Costs," NBER Working Papers 21439, National Bureau of Economic Research, Inc.
    5. Kossova, T. & Kossova, E. & Sheluntsova, M., 2023. "Estimating effect of healthcare expenditures and alcohol overconsumption on the health of the Russian population," Journal of the New Economic Association, New Economic Association, vol. 60(3), pages 66-78.
    6. Ruiqi Liu & Ben Boukai & Zuofeng Shang, 2019. "Statistical Inference on Partially Linear Panel Model under Unobserved Linearity," Papers 1911.08830, arXiv.org.
    7. Hu, Xuemei, 2017. "Semi-parametric inference for semi-varying coefficient panel data model with individual effects," Journal of Multivariate Analysis, Elsevier, vol. 154(C), pages 262-281.
    8. Francois Libois & Vincenzo Verardi, 2013. "Semiparametric fixed-effects estimator," Stata Journal, StataCorp LP, vol. 13(2), pages 329-336, June.
    9. Muhammad Shahbaz & Samia Nasreen & Chong Hui Ling & Rashid Sbia, 2014. "Causality between trade openness and energy consumption: What causes what in high, middle and low income countries," ULB Institutional Repository 2013/168714, ULB -- Universite Libre de Bruxelles.
    10. Tae-Hwy Lee & Bai Huang & Aman Ullah, 2018. "Combined Estimation of Semiparametric Panel Data Models," Working Papers 201915, University of California at Riverside, Department of Economics.
    11. Alena Bičáková & Štěpán Jurajda, 2014. "The Quiet Revolution and the Family: Gender Composition of Tertiary Education and Early Fertility Patterns," Discussion Papers 22, Central European Labour Studies Institute (CELSI).
    12. POLEMIS, MICHAEL & Stengos, Thanasis, 2020. "Threshold effects during the COVID-19 pandemic: Evidence from international tourist destinations," MPRA Paper 102845, University Library of Munich, Germany.
    13. Su, Liangjun & Lu, Xun, 2013. "Nonparametric dynamic panel data models: Kernel estimation and specification testing," Journal of Econometrics, Elsevier, vol. 176(2), pages 112-133.
    14. Ekpeno L. Effiong, 2018. "On the urbanization-pollution nexus in Africa: a semiparametric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 445-456, January.
    15. Peter Pütz & Thomas Kneib, 2018. "A penalized spline estimator for fixed effects panel data models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(2), pages 145-166, April.
    16. Wang, Yuan & Zhang, Chen & Lu, Aitong & Li, Li & He, Yanmin & ToJo, Junji & Zhu, Xiaodong, 2017. "A disaggregated analysis of the environmental Kuznets curve for industrial CO2 emissions in China," Applied Energy, Elsevier, vol. 190(C), pages 172-180.
    17. 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.
    18. Liebert, Helge & Mäder, Beatrice, 2017. "The impact of regional health care coverage on infant mortality and disease incidence," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168103, Verein für Socialpolitik / German Economic Association.
    19. Stanislao Maldonado, 2018. "The Non-Monotonic Political Effects of Resource Booms," Working Papers 121, Peruvian Economic Association.
    20. Sasaki, Yuya & Xin, Yi, 2017. "Unequal spacing in dynamic panel data: Identification and estimation," Journal of Econometrics, Elsevier, vol. 196(2), pages 320-330.
    21. Liebert, Helge & Mäder, Beatrice, 2022. "Physicians and the Production of Health: Returns to Health Care during the Mortality Transition," IZA Discussion Papers 15220, Institute of Labor Economics (IZA).
    22. Sugata Marjit & Sattwik Santra & Koushik Kumar Hati, 2018. "Status Seeking Behavior of the Poor: A Study on India," CESifo Working Paper Series 7213, CESifo.
    23. Agiropoulos, Charalampos & Karkalakos, Sotiris & Polemis, Michael, 2019. "Revisiting the finance-growth nexus: A socioeconomic approach," MPRA Paper 95209, University Library of Munich, Germany.
    24. Polemis, Michael L. & Stengos, Thanasis & Tzeremes, Nickolaos G., 2020. "Revisiting the impact of financial depth on growth: A semi-parametric approach," Finance Research Letters, Elsevier, vol. 36(C).
    25. Michael A. Clemens & Ethan G. Lewis & Hannah M. Postel, 2017. "Immigration Restrictions as Active Labor Market Policy: Evidence from the Mexican Bracero Exclusion," NBER Working Papers 23125, National Bureau of Economic Research, Inc.
    26. M. Jonathan C. Eklund, 2022. "Do multinational firms respond to personal dividend income tax rates?," Empirical Economics, Springer, vol. 62(4), pages 1743-1771, April.
    27. Lessmann, Christian, 2014. "Spatial inequality and development — Is there an inverted-U relationship?," Journal of Development Economics, Elsevier, vol. 106(C), pages 35-51.
    28. Scheuermeyer, Philipp & Bofinger, Peter, 2016. "Income Distribution and Household Saving: A Non-Monotonic Relationship," VfS Annual Conference 2016 (Augsburg): Demographic Change 145901, Verein für Socialpolitik / German Economic Association.
    29. Gopalakrishnan, Balagopal & Mohapatra, Sanket, 2020. "Insolvency regimes and firms' default risk under economic uncertainty and shocks," Economic Modelling, Elsevier, vol. 91(C), pages 180-197.
    30. Peter Pütz & Thomas Kneib, 2016. "A Penalized Spline Estimator for Fixed Effects Panel Data Models," SOEPpapers on Multidisciplinary Panel Data Research 827, DIW Berlin, The German Socio-Economic Panel (SOEP).
    31. Abdallh, Atif Awad & Abugamos, Hoda, 2017. "A semi-parametric panel data analysis on the urbanisation-carbon emissions nexus for the MENA countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1350-1356.
    32. Christie Dike, 2018. "Effects of Foreign Direct Investment in Sub-Saharan Africa Economic Growth: Evidence from Panel Data Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 8(2), pages 255-261.
    33. Zhu, Hui-Ming & You, Wan-Hai & Zeng, Zhao-fa, 2012. "Urbanization and CO2 emissions: A semi-parametric panel data analysis," Economics Letters, Elsevier, vol. 117(3), pages 848-850.
    34. Benjamin Owusu & Bettina Bökemeier & Alfred Greiner, 2023. "Assessing nonlinearities and heterogeneity in debt sustainability analysis: a panel spline approach," Empirical Economics, Springer, vol. 64(3), pages 1315-1346, March.
    35. Jawara, Hamidou & Thiele, Rainer, 2018. "The nutrient-income elasticity in ultra-poor households: Evidence from Kenya," Kiel Working Papers 2114, Kiel Institute for the World Economy (IfW Kiel).
    36. Tranchant Jean-Pierre, 2016. "Is Regional Autonomy a Solution to Ethnic Conflict? Some Lessons from a Dynamic Analysis," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 22(4), pages 449-460, December.
    37. Palmer, Charles & Groom, Ben & Langton, Steve & Sileci, Lorenzo, 2022. "Biodiversity-food trade-offs when agricultural land is spared from production," LSE Research Online Documents on Economics 116614, London School of Economics and Political Science, LSE Library.
    38. Wang, Yuan & Zhang, Xiang & Kubota, Jumpei & Zhu, Xiaodong & Lu, Genfa, 2015. "A semi-parametric panel data analysis on the urbanization-carbon emissions nexus for OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 704-709.
    39. Sergei Guriev & Elena S. Vakulenko, 2015. "Breaking Out Of Poverty Traps: Internal Migration And Interregional Convergence In Russia," HSE Working papers WP BRP 88/EC/2015, National Research University Higher School of Economics.
    40. Jonathan Chapman, 2020. "Extension of the Franchise and Government Expenditure on Public Goods: Evidence from Nineteenth-Century England," Working Papers 20200045, New York University Abu Dhabi, Department of Social Science, revised Mar 2020.
    41. Forrester, Andrew C. & Powell, Benjamin & Nowrasteh, Alex & Landgrave, Michelangelo, 2019. "Do immigrants import terrorism?," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 529-543.
    42. Indrani Chakraborty, 2020. "Debt financing and market concentration in an emerging economy: firm-level evidence from India," Economic Change and Restructuring, Springer, vol. 53(3), pages 451-474, August.
    43. Gustavo A. Marrero & Juan G. Rodríguez, 2023. "Unfair inequality and growth," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(4), pages 1056-1092, October.
    44. Gustavo A. Marrero & Luis Servén, 2022. "Growth, inequality and poverty: a robust relationship?," Empirical Economics, Springer, vol. 63(2), pages 725-791, August.
    45. Su, Liangjun & Jin, Sainan, 2012. "Sieve estimation of panel data models with cross section dependence," Journal of Econometrics, Elsevier, vol. 169(1), pages 34-47.
    46. Li, Gaorong & Peng, Heng & Tong, Tiejun, 2013. "Simultaneous confidence band for nonparametric fixed effects panel data models," Economics Letters, Elsevier, vol. 119(3), pages 229-232.
    47. Jean-Marie Baland & François Libois & Dilip Mookherjee, 2018. "Forest Degradation and Economic Growth in Nepal, 2003–2010," PSE-Ecole d'économie de Paris (Postprint) halshs-01713390, HAL.
    48. Farroukh, Arafet & Mazioued, Manel & Pédussel Wu, Jennifer, 2024. "Revisiting the linkage between remittances inflow and economic growth: A semi-parametric estimation with panel data," IPE Working Papers 238/2024, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
    49. Liebert, H. & Mäder, B., 2016. "Marginal effects of physician coverage on infant and disease mortality," Health, Econometrics and Data Group (HEDG) Working Papers 16/17, HEDG, c/o Department of Economics, University of York.
    50. Michael Polemis & Dr Aikaterina Oikonomou, 2022. "A note on the human capital and tourism growth nexus: a semi-parametric approach," Economics and Business Letters, Oviedo University Press, vol. 11(2), pages 79-87.
    51. Darshana Rajapaksa & Moinul Islam & Shunsuke Managi, 2017. "Natural Capital Depletion: the Impact of Natural Disasters on Inclusive Growth," Economics of Disasters and Climate Change, Springer, vol. 1(3), pages 233-244, October.
    52. Bofinger, Peter & Scheuermeyer, Philipp, 2016. "Income Distribution and Aggregate Saving: A Non-Monotonic Relationship," CEPR Discussion Papers 11435, C.E.P.R. Discussion Papers.
    53. Kadzima, Marvelous & Machokoto, Michael, 2023. "A semi-parametric analysis of the cash flow sensitivity of cash," Finance Research Letters, Elsevier, vol. 56(C).
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    55. Lien, Donald & Hu, Yue & Liu, Long, 2017. "A note on using ratio variables in regression analysis," Economics Letters, Elsevier, vol. 150(C), pages 114-117.
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    57. D'Arcangelo, Maria Filippo & Galeotti, Marzio, 2022. "Environmental Policy and Investment Location: The Risk of Carbon Leakage in the EU ETS," FEEM Working Papers 327158, Fondazione Eni Enrico Mattei (FEEM).
    58. Hou, Lei & Li, Qi & Wang, Yanfei & Yang, Xintong, 2021. "Wages, labor quality, and FDI inflows: A new non-linear approach," Economic Modelling, Elsevier, vol. 102(C).
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    63. Uberti, Luca J., 2022. "Corruption and growth: Historical evidence, 1790–2010," Journal of Comparative Economics, Elsevier, vol. 50(2), pages 321-349.
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    65. Helge Liebert & Beatrice Mäder, 2018. "Physician Density and Infant Mortality: A Semiparametric Analysis of the Returns to Health Care Provision," CESifo Working Paper Series 7209, CESifo.
    66. Bruna, Maria Giuseppina & Đặng, Rey & Houanti, L'hocine & Sahut, Jean-Michel & Simioni, Michel, 2022. "By what way women on corporate boards influence corporate social performance? Evidence from a semiparametric panel model," Finance Research Letters, Elsevier, vol. 49(C).
    67. Zouaoui, Haykel & Mazioud, Manel & Ellouz, Nidhal Ziedi, 2018. "A semi-parametric panel data analysis on financial development-economic volatility nexus in developing countries," Economics Letters, Elsevier, vol. 172(C), pages 50-55.
    68. Maria Rosaria Alfano & Anna Laura Baraldi & Erasmo Papagni, 2015. "The Effect of the Proportionality Degree of Electoral Systems on Corruption," EERI Research Paper Series EERI RP 2015/03, Economics and Econometrics Research Institute (EERI), Brussels.
    69. Myrto Kasioumi & Thanasis Stengos, 2020. "The Environmental Kuznets Curve with Recycling: A Partially Linear Semiparametric Approach," JRFM, MDPI, vol. 13(11), pages 1-26, November.
    70. Filippo Maria D'Arcangelo & Marzio Galeotti, 2022. "Environmental Policy and Investment Location: The Risk of Carbon Leakage in the EU ETS," Working Papers 2022.27, Fondazione Eni Enrico Mattei.
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    72. Zinnia Mitra Bose & Indrani Chakraborty, 2022. "Effects of diversification on firm performance: an analysis of Indian firms," Indian Economic Review, Springer, vol. 57(2), pages 469-511, December.
    73. Green, Carl & Long, Wei & Hsiao, Cheng, 2015. "Testing error serial correlation in fixed effects nonparametric panel data models," Journal of Econometrics, Elsevier, vol. 188(2), pages 466-473.
    74. Zhang, Junhua & Feng, Sanying & Li, Gaorong & Lian, Heng, 2011. "Empirical likelihood inference for partially linear panel data models with fixed effects," Economics Letters, Elsevier, vol. 113(2), pages 165-167.
    75. Zhou, Jianhua & Parmeter, Christopher F. & Kumbhakar, Subal C., 2020. "Nonparametric estimation of the determinants of inefficiency in the presence of firm heterogeneity," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1142-1152.
    76. Lv, Zhike & Yang, Rudai, 2018. "Does women’s participation in politics increase female labor participation? Evidence from panel data analysis," Economics Letters, Elsevier, vol. 170(C), pages 35-38.
    77. Ai, Chunrong & You, Jinhong & Zhou, Yong, 2011. "Statistical inference using a weighted difference-based series approach for partially linear regression models," Journal of Multivariate Analysis, Elsevier, vol. 102(3), pages 601-618, March.
    78. Nikos Benos & Stelios Karagiannis, 2018. "Inequality And Growth In The United States: Why Physical And Human Capital Matter," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 572-619, January.
    79. Moheddine Younsi & Mohamed Chakroun & Amine Nafla, 2016. "Robust analysis of the determinants of healthcare expenditure growth: evidence from panel data for low-, middle- and high-income countries," International Journal of Health Planning and Management, Wiley Blackwell, vol. 31(4), pages 580-601, October.
    80. Borri, Karine T. & Martins-Filho, Carlos & Kalatzis, Aquiles E.G., 2022. "Exploring nonlinearities between investment and internal funds: Evidence of the U-shaped investment curve," Economics Letters, Elsevier, vol. 218(C).
    81. Badi Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: A Bayesian Semiparametric Model with Random Coefficients for a Panel of OECD Countries," Center for Policy Research Working Papers 229, Center for Policy Research, Maxwell School, Syracuse University.
    82. David Atkin & Amit K. Khandelwal & Adam Osman, 2017. "Exporting and Firm Performance: Evidence from a Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(2), pages 551-615.
    83. Ekpeno L. Effiong & Alex O. Iriabije, 2018. "Let the data speak: semiparametric evidence on the environmental Kuznets curve in Africa," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 771-782, March.
    84. Hu, Jianhua & You, Jinhong & Zhou, Xian, 2017. "Improved estimation of fixed effects panel data partially linear models with heteroscedastic errors," Journal of Multivariate Analysis, Elsevier, vol. 154(C), pages 96-111.
    85. Kiso, Takahiko & Chan, H. Ron & Arino, Yosuke, 2022. "Contrasting effects of electricity prices on retrofit and new-build installations of solar PV: Fukushima as a natural experiment," Journal of Environmental Economics and Management, Elsevier, vol. 115(C).
    86. Yanfang LYU & Linhui ZHAO & Dong WANG, 2023. "An Analysis of the Impact of US-China Trade Frictions on Chinese Manufacturing Industries from the Perspective of Trade Gains," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 43-56, December.
    87. Peter Bofinger & Philipp Scheuermeyer, 2019. "Income Distribution and Aggregate Saving: A Non‐Monotonic Relationship," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(4), pages 872-907, December.
    88. Qi Gao & Jingping Gu & Paula Hernandez-Verme, 2012. "A Semiparametric Time Trend Varying Coefficients Model: With An Application to Evaluate Credit Rationing in U.S. Credit Market," Annals of Economics and Finance, Society for AEF, vol. 13(1), pages 189-210, May.
    89. Minzhi Wu & Emili Tortosa-Ausina & Paula Cruz-García, 2024. "The impact of diversification on the profitability and risk of Chinese banks: evidence from a semiparametric approach," Empirical Economics, Springer, vol. 67(6), pages 2565-2606, December.
    90. You, Jinhong & Zhou, Haibo, 2008. "A two-stage approach to semilinear in-slide models," Journal of Multivariate Analysis, Elsevier, vol. 99(8), pages 1610-1634, September.
    91. Effiong, Ekpeno & Oisaozoje, Alex, 2016. "Let the Data Speak: Revisiting the Environmental Kuznets Curve in Africa," MPRA Paper 73163, University Library of Munich, Germany.
    92. Minzhi Wu & Emili Tortosa-Ausina, 2020. "Bank Diversification and Focus in Disruptive Times: China, 2007–2018," Working Papers 2020/21, Economics Department, Universitat Jaume I, Castellón (Spain).
    93. Del Prete, Davide & Di Maio, Michele & Rahman, Aminur, 2023. "Firms amid conflict: Performance, production inputs, and market competition," Journal of Development Economics, Elsevier, vol. 164(C).
    94. Xie, Qichang & Bai, Dingchuan & Cong, Xiaoping, 2022. "Modeling the dynamic influences of economic growth and financial development on energy consumption in emerging economies: Insights from dynamic nonlinear approaches," Energy Economics, Elsevier, vol. 116(C).
    95. Su, Liangjun & Ullah, Aman, 2006. "Profile likelihood estimation of partially linear panel data models with fixed effects," Economics Letters, Elsevier, vol. 92(1), pages 75-81, July.
    96. Halkos, George & Polemis, Michael, 2016. "The good, the bad and the ugly? Balancing environmental and economic impacts towards efficiency," MPRA Paper 72132, University Library of Munich, Germany.
    97. 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.
    98. Toshihiro Okubo & Eric Strobl, 2020. "Natural Disasters, Firm Survival and Growth: Evidence from the Ise Bay Typhoon, Japan," Keio-IES Discussion Paper Series 2020-005, Institute for Economics Studies, Keio University.
    99. Liping Zhu & Jinhong You & Qunfang Xu, 2014. "Statistical Inference for Single-index Panel Data Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(3), pages 830-843, September.
    100. Govindapuram Suresh, 2023. "Financial Inclusion and Its Impact on Fertility: An Empirical Investigation," Indian Journal of Human Development, , vol. 17(2), pages 344-358, August.
    101. Sukhdeep Singh, 2024. "Investments in Innovations and Market Structure: A Semi-parametric Approach," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 25(1), pages 26-44, March.
    102. Venkata Mrudula Bhimavarapu & Shailesh Rastogi & Jagjeevan Kanoujiya & Aashi Rawal, 2023. "Repercussion of financial distress and corporate disclosure on the valuation of non-financial firms in India," Future Business Journal, Springer, vol. 9(1), pages 1-19, December.
    103. Costantini, Mauro & Paradiso, Antonio, 2018. "What do panel data say on inequality and GDP? New evidence at US state-level," Economics Letters, Elsevier, vol. 168(C), pages 115-117.
    104. Wang, Yuan & Han, Rong & Kubota, Jumpei, 2016. "Is there an Environmental Kuznets Curve for SO2 emissions? A semi-parametric panel data analysis for China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1182-1188.
    105. Sergei Guriev & Elena Vakulenko, 2015. "Breaking Out of Poverty Traps," SciencePo Working papers Main hal-03392969, HAL.
    106. Goldberg, Andrew & Romalis, John, 2015. "Public Debt and Growth in U.S. States," Working Papers 2015-10, University of Sydney, School of Economics.
    107. Fell, Harrison & Maniloff, Peter, 2018. "Leakage in regional environmental policy: The case of the regional greenhouse gas initiative," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 1-23.
    108. Bang-Qiang He & Xing-Jian Hong & Guo-Liang Fan, 2020. "Penalized empirical likelihood for partially linear errors-in-variables panel data models with fixed effects," Statistical Papers, Springer, vol. 61(6), pages 2351-2381, December.
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    114. Maria Giuseppina Bruna & Rey Dang & L'Hocine Houanti & Jean-Michel Sahut & Michel Simioni, 2022. "By what way women on corporate boards influence corporate social performance? Evidence from a semiparametric panel model," Post-Print hal-03693781, HAL.
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Articles

  1. Wukki Kim & Dong Li & Todd Sandler, 2021. "Resident Terrorist Groups, Military Aid, and Moral Hazard: Further Empirical Analysis," Defence and Peace Economics, Taylor & Francis Journals, vol. 32(1), pages 1-17, January.

    Cited by:

    1. Khusrav Gaibulloev & Todd Sandler, 2023. "Common myths of terrorism," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 271-301, April.
    2. Wukki Kim & Todd Sandler, 2021. "Foreign aid and terrorist groups: incidents, ideology, and survival," Public Choice, Springer, vol. 189(1), pages 139-160, October.

  2. Dong Li & Luya Wang & Ximing Wu, 2021. "Bayesian estimation of bidding process and bidder’s preference under shape restrictions," Empirical Economics, Springer, vol. 60(1), pages 157-176, January.

    Cited by:

    1. Qi Li & Vasilis Sarafidis & Joakim Westerlund, 2021. "Essays in honor of Professor Badi H Baltagi," Empirical Economics, Springer, vol. 60(1), pages 1-11, January.
    2. Li, Qi & Sarafidis, Vasilis & Westerlund, Joakim, 2020. "Essays in Honor of Professor Badi H Baltagi: Editorial," MPRA Paper 104751, University Library of Munich, Germany.

  3. Dennis L. Weisman & Dong Li, 2017. "Weeds in the Ivy: college admissions under preference constraints," Applied Economics, Taylor & Francis Journals, vol. 49(3), pages 303-312, January.

    Cited by:

    1. Philippe Cyrenne, 2020. "Elite Universities, Program Capacities and the Student Admission Decision," Departmental Working Papers 2020-02, The University of Winnipeg, Department of Economics.
    2. Weisman, Dennis L., 2017. "How to integrate economic analysis into classroom discussions of diversity?," International Review of Economics Education, Elsevier, vol. 25(C), pages 8-14.

  4. Na Wang & Dong Li, 2012. "Impact of the Securities Transaction Tax on Stock Markets," Chinese Economy, Taylor & Francis Journals, vol. 45(5), pages 26-49, September.

    Cited by:

    1. Hayashida, Minoru & Ono, Hiroyuki, 2016. "Tax reforms and stock return volatility: The case of Japan," Journal of Asian Economics, Elsevier, vol. 45(C), pages 1-14.

  5. Li, Dong & Weisman, Dennis L., 2011. "Why preferences in college admissions may yield a more-able student body," Economics of Education Review, Elsevier, vol. 30(4), pages 724-728, August.

    Cited by:

    1. Philippe Cyrenne, 2020. "Elite Universities, Program Capacities and the Student Admission Decision," Departmental Working Papers 2020-02, The University of Winnipeg, Department of Economics.
    2. Dennis L. Weisman & Dong Li, 2017. "Weeds in the Ivy: college admissions under preference constraints," Applied Economics, Taylor & Francis Journals, vol. 49(3), pages 303-312, January.
    3. Weisman, Dennis L., 2017. "How to integrate economic analysis into classroom discussions of diversity?," International Review of Economics Education, Elsevier, vol. 25(C), pages 8-14.
    4. Pastine, Ivan & Pastine, Tuvana, 2012. "Student incentives and preferential treatment in college admissions," Economics of Education Review, Elsevier, vol. 31(1), pages 123-130.

  6. James F Ragan & Dong Li & Horacio Matos-Díaz, 2011. "Using Admission Tests to Predict Success in College — Evidence from the University of Puerto Rico," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(4), pages 470-487.

    Cited by:

    1. By Vincenzo Carrieri & Marcello D’Amato & Roberto Zotti, 2015. "On the causal effects of selective admission policies on students’ performances: evidence from a quasi-experiment in a large Italian university," Oxford Economic Papers, Oxford University Press, vol. 67(4), pages 1034-1056.
    2. Alejandro Abarca & Rolando Leiva & Juan Robalino & Milagro Saborio-Rodriguez, 2016. "Diferencias en la permanencia y el desempeño en la educación superior entre estudiantes provenientes de colegios públicas y privadas," Working Papers 201603, Universidad de Costa Rica, revised Jun 2016.
    3. CARRIERI, Vincenzo & D'AMATO, Marcello & ZOTTI, Roberto, 2013. "Selective Admission Tests and Students' Performances. Evidence from a Natural Experiment in a Large Italian University," CELPE Working Papers 0/00, CELPE - Centre of Labour Economics and Economic Policy, University of Salerno, Italy.

  7. Li, Dong & Li, Qi, 2010. "Nonparametric/semiparametric estimation and testing of econometric models with data dependent smoothing parameters," Journal of Econometrics, Elsevier, vol. 157(1), pages 179-190, July.

    Cited by:

    1. Jun Ma & Vadim Marmer & Zhengfei Yu, 2021. "Inference on Individual Treatment Effects in Nonseparable Triangular Models," Papers 2107.05559, arXiv.org, revised Feb 2023.
    2. Escanciano, Juan Carlos & Jacho-Chávez, David T. & Lewbel, Arthur, 2014. "Uniform convergence of weighted sums of non and semiparametric residuals for estimation and testing," Journal of Econometrics, Elsevier, vol. 178(P3), pages 426-443.
    3. Xu, Ke-Li, 2013. "Powerful tests for structural changes in volatility," Journal of Econometrics, Elsevier, vol. 173(1), pages 126-142.
    4. Berndt Jesenko & Christian Schlögl, 2021. "The effect of web of science subject categories on clustering: the case of data-driven methods in business and economic sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6785-6801, August.
    5. Chen, Xirong & Li, Degui & Li, Qi & Li, Zheng, 2019. "Nonparametric estimation of conditional quantile functions in the presence of irrelevant covariates," Journal of Econometrics, Elsevier, vol. 212(2), pages 433-450.
    6. Lin, Zhongjian & Li, Qi & Sun, Yiguo, 2014. "A consistent nonparametric test of parametric regression functional form in fixed effects panel data models," Journal of Econometrics, Elsevier, vol. 178(P1), pages 167-179.
    7. Jingping Gu & Qi Li & Jui-Chung Yang, 2015. "Multivariate Local Polynomial Kernel Estimators: Leading Bias and Asymptotic Distribution," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 979-1010, December.
    8. Juan Carlos Escanciano & Lin Zhu, 2015. "A Simple Data-Driven Estimator for the Semiparametric Sample Selection Model," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 734-762, December.
    9. Qi Gao & Long Liu & Jeffrey S. Racine, 2015. "A Partially Linear Kernel Estimator for Categorical Data," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 959-978, December.
    10. Li, Xiaofeng & Shang, Ying & Su, Zhi, 2015. "Semiparametric estimation of default probability: Evidence from the Prosper online credit market," Economics Letters, Elsevier, vol. 127(C), pages 54-57.
    11. Liang, Zhongwen & Li, Qi, 2012. "Functional coefficient regression models with time trend," Journal of Econometrics, Elsevier, vol. 170(1), pages 15-31.
    12. Li, Cong & Wang, Yanfei, 2016. "Gradient-based bandwidth selection for estimating average derivatives," Economics Letters, Elsevier, vol. 140(C), pages 19-22.
    13. Racine, Jeffrey S. & Li, Kevin, 2017. "Nonparametric conditional quantile estimation: A locally weighted quantile kernel approach," Journal of Econometrics, Elsevier, vol. 201(1), pages 72-94.
    14. Rafael Weißbach & Wladislaw Poniatowski & Walter Krämer, 2013. "Nearest neighbor hazard estimation with left-truncated duration data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(1), pages 33-47, January.
    15. Li, Hongjun & Li, Qi & Liu, Ruixuan, 2016. "Consistent model specification tests based on k-nearest-neighbor estimation method," Journal of Econometrics, Elsevier, vol. 194(1), pages 187-202.

  8. Li Dong & Le Canh, 2010. "Nonlinearity and Spatial Lag Dependence: Tests Based on Double-Length Regressions," Journal of Time Series Econometrics, De Gruyter, vol. 2(1), pages 1-18, June.

    Cited by:

    1. 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.

  9. Le, Canh Quang & Li, Dong, 2008. "Double-Length Regression tests for testing functional forms and spatial error dependence," Economics Letters, Elsevier, vol. 101(3), pages 253-257, December.

    Cited by:

    1. Badi H. Baltagi & Long Liu, 2012. "Testing for Spatial Lag and Spatial Error Dependence Using Double Length Artificial Regressions," Center for Policy Research Working Papers 147, Center for Policy Research, Maxwell School, Syracuse University.
    2. Badi H. Baltagi & Long Liu, 2015. "Testing for Spacial Lag and Spatial Error Dependence in a Fixed Effects Panel Data Model Using Double Length Artificial Regressions," Center for Policy Research Working Papers 183, Center for Policy Research, Maxwell School, Syracuse University.
    3. Patrick Walsh & J. Walter Milon & David Scrogin, 2010. "The Spatial Extent of Water Quality Benefits in Urban Housing Markets," NCEE Working Paper Series 201002, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Mar 2010.
    4. Li Dong & Le Canh, 2010. "Nonlinearity and Spatial Lag Dependence: Tests Based on Double-Length Regressions," Journal of Time Series Econometrics, De Gruyter, vol. 2(1), pages 1-18, June.

  10. Shane Sanders & Dennis L. Weisman & Dong Li, 2008. "Child Safety Seats on Commercial Airliners: A Demonstration of Cross-Price Elasticities," The Journal of Economic Education, Taylor & Francis Journals, vol. 39(2), pages 135-144, April.

    Cited by:

    1. Justin A. Ehrlich & Shankar Ghimire & Thomas R. Sadler & Shane D. Sanders, 2023. "Policy and Policy Response on the Court: A Theoretical and Empirical Examination of the Three-Point Line Extension in Basketball," Journal of Sports Economics, , vol. 24(2), pages 159-173, February.

  11. Desheng Ouyang & Dong Li & Qi Li, 2006. "Cross-validation and non-parametric k nearest-neighbour estimation," Econometrics Journal, Royal Economic Society, vol. 9(3), pages 448-471, November.

    Cited by:

    1. Zheng Li & Guannan Liu & Qi Li, 2017. "Nonparametric Knn estimation with monotone constraints," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 988-1006, October.
    2. David Jacho-Chávez, 2008. "k nearest-neighbor estimation of inverse density weighted expectations," Economics Bulletin, AccessEcon, vol. 3(48), pages 1-6.
    3. Dominique Guegan & Patrick Rakotomarolahy, 2010. "Alternative methods for forecasting GDP," Post-Print halshs-00505165, HAL.
    4. Emir Malikov & Jingfang Zhang & Shunan Zhao & Subal C. Kumbhakar, 2023. "Accounting for Cross-Location Technological Heterogeneity in the Measurement of Operations Efficiency and Productivity," Papers 2302.13430, arXiv.org.
    5. Dominique Guegan & Patrick Rakotomarolahy, 2010. "Alternative methods for forecasting GDP," Post-Print halshs-00511979, HAL.
    6. Dominique Guegan & Patrick Rakotomarolahy, 2010. "Alternative methods for forecasting GDP," PSE-Ecole d'économie de Paris (Postprint) halshs-00511979, HAL.
    7. Dominique Guegan & Patrick Rakotomarolahy, 2009. "The Multivariate k-Nearest Neighbor Model for Dependent Variables : One-Sided Estimation and Forecasting," Post-Print halshs-00423871, HAL.
    8. Li, Hongjun & Li, Qi & Liu, Ruixuan, 2016. "Consistent model specification tests based on k-nearest-neighbor estimation method," Journal of Econometrics, Elsevier, vol. 194(1), pages 187-202.

  12. Badi Baltagi & Dong Li, 2006. "Prediction in the Panel Data Model with Spatial Correlation: the Case of Liquor," Spatial Economic Analysis, Taylor & Francis Journals, vol. 1(2), pages 175-185.
    See citations under working paper version above.
  13. Gan, Li & Li, Dong & Song, Shunfeng, 2006. "Is the Zipf law spurious in explaining city-size distributions?," Economics Letters, Elsevier, vol. 92(2), pages 256-262, August.

    Cited by:

    1. Michel DIMOU & Alexandra SCHAFFAR & Zhihong CHEN & Shihe FU, 2008. "LA CROISSANCE URBAINE CHINOISE RECONSIDeReE," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 27, pages 109-131.
    2. Kristian GIESEN & Jens SÜDEKUM, 2012. "The French Overall City Size Distribution," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 36, pages 107-126.
    3. Chen, Yanguang, 2021. "Exploring the level of urbanization based on Zipf’s scaling exponent," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    4. Sebastien TERRA, 2009. "Zipf's Law for Cities: On a New Testing Procedure," Working Papers 200920, CERDI.
    5. Montebruno, Piero & Bennett, Robert J. & van Lieshout, Carry & Smith, Harry, 2019. "A tale of two tails: Do Power Law and Lognormal models fit firm-size distributions in the mid-Victorian era?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 858-875.
    6. Gilberto Seravalli, 2016. "Dimensioni e crescita delle citt? in Europa: l?incertezza danneggia soprattutto le citt? medie," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2016(2), pages 91-108.
    7. Kurt Schmidheiny & Jens Suedekum, 2015. "The pan-European population distribution across consistently defined functional urban areas," ERSA conference papers ersa15p349, European Regional Science Association.
    8. Hasan Engin Duran & Andrzej Cieślik, 2021. "The distribution of city sizes in Turkey: A failure of Zipf’s law due to concavity," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(5), pages 1702-1719, October.
    9. Angelina Hackmann & Torben Klarl, 2020. "The evolution of Zipf's Law for U.S. cities," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 841-852, June.
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    1. Leonardo Becchetti & Massimo Ferrari, 2013. "The impact of the French Tobin tax," Econometica Working Papers wp47, Econometica.
    2. Giuliana Passamani & Roberto Tamborini & Matteo Tomaselli, 2016. "Taxing financial transactions in fundamentally heterogeneous markets," DEM Working Papers 2016/10, Department of Economics and Management.
    3. Iryna Veryzhenko & Arthur Jonath & Etienne Harb, 2020. "Non-Value-Added Tax to Improve Market Fairness," Working Papers hal-02881064, HAL.
    4. Sinha, Pankaj & Mathur, Kritika, 2012. "Evolution of security transaction tax in India," MPRA Paper 40165, University Library of Munich, Germany.
    5. Cappelletti, Giuseppe & Guazzarotti, Giovanni & Tommasino, Pietro, 2017. "The stock market effects of a securities transaction tax: Quasi-experimental evidence from Italy," Journal of Financial Stability, Elsevier, vol. 31(C), pages 81-92.
    6. Tianbao Zhou & Zhixin Liu & Yingying Xu, 2024. "How do financial variables impact public debt growth in China? An empirical study based on Markov regime-switching model," Papers 2407.02183, arXiv.org.
    7. Yok-Yong Lee & M. H. Yahya & A. M. Bany-Ariffin & S. Aslam, 2018. "Leverage Effect and Switching of Market Efficiency Post Goods and Services Tax (GST) Imposition," International Business Research, Canadian Center of Science and Education, vol. 11(3), pages 162-178, March.
    8. Gunther Capelle-Blancard & Olena Havrylchyk, 2013. "The Impact of the French Securities Transaction Tax on Market Liquidity and Volatility," Post-Print halshs-00940251, HAL.
    9. Huber, Jürgen & Kleinlercher, Daniel & Kirchler, Michael, 2012. "The impact of a financial transaction tax on stylized facts of price returns—Evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1248-1266.
    10. Ms. Thornton Matheson, 2011. "Taxing Financial Transactions: Issues and Evidence," IMF Working Papers 2011/054, International Monetary Fund.
    11. European Commission, 2010. "Innovative Financing at a Global Level," Taxation Studies 0031, Directorate General Taxation and Customs Union, European Commission.
    12. Veryzhenko, Iryna & Harb, Etienne & Louhichi, Waël & Oriol, Nathalie, 2017. "The impact of the French financial transaction tax on HFT activities and market quality," Economic Modelling, Elsevier, vol. 67(C), pages 307-315.
    13. Thomas Hemmelgarn & Gaetan Nicodeme, 2010. "The 2008 Financial Crisis and Taxation Policy," Taxation Papers 20, Directorate General Taxation and Customs Union, European Commission.
    14. Luigi Bonatti & Lorenza Lorenzetti, 2016. "The co-evolution of tax evasion, social capital and policy responses: A theoretical approach," DEM Working Papers 2016/08, Department of Economics and Management.
    15. Carlos Contreras & Mónica Contreras, 2015. "Estimación de la recaudación del Impuesto sobre Transacciones Financieras: el caso español," Hacienda Pública Española / Review of Public Economics, IEF, vol. 213(2), pages 109-143, June.
    16. Thornton Matheson, 2012. "Security transaction taxes: issues and evidence," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(6), pages 884-912, December.
    17. Chaudhry, Sajid Mukhtar & Mullineux, Andrew & Agarwal, Natasha, 2015. "Balancing the regulation and taxation of banking," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 38-52.
    18. Eichfelder, Sebastian & Lau, Mona, 2016. "Financial transaction taxes: Announcement effects, short-run effects, and long-run effects," arqus Discussion Papers in Quantitative Tax Research 211, arqus - Arbeitskreis Quantitative Steuerlehre.
    19. Zsolt Darvas & Jakob von Weizs„cker, 2010. "Financial Transaction Tax: Small is Beautiful," CERS-IE WORKING PAPERS 1019, Institute of Economics, Centre for Economic and Regional Studies.
    20. Deng, Yongheng & Liu, Xin & Wei, Shang-Jin, 2018. "One fundamental and two taxes: When does a Tobin tax reduce financial price volatility?," Journal of Financial Economics, Elsevier, vol. 130(3), pages 663-692.
    21. Stephan Schulmeister & Margit Schratzenstaller-Altzinger & Oliver Picek, 2008. "A General Financial Transaction Tax. Motives, Revenues, Feasibility and Effects," WIFO Studies, WIFO, number 31819, August.
    22. Veronika Solilová & Danuše Nerudová, 2015. "Financial Transaction Tax: Determination of Economic Impact Under DSGE Model," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(2), pages 627-637.
    23. Priti Dubey & Rishika Shankar, 2020. "Determinants of the Commodity Futures Market Performance: An Indian Perspective," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 21(2), pages 239-257, September.
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    25. Lillo, Felipe & Valdés, Rodrigo, 2016. "Dynamics of financial markets and transaction costs: A graph-based study," Research in International Business and Finance, Elsevier, vol. 38(C), pages 455-465.
    26. Cano Berlanga, Sebastian & Giménez Gómez, José M. (José Manuel), 2016. "On Chinese stock markets: How have they evolved along time?," Working Papers 2072/267085, Universitat Rovira i Virgili, Department of Economics.
    27. Rudolf Alvise Lennkh & Florian Walch, 2015. "Collateral Damage? Micro-Simulation of Transaction Cost Shocks on the Value of Central Bank Collateral," Working Papers 6, European Stability Mechanism.
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    29. Iryna Veryzhenko & Lise Arena & Etienne Harb & Nathalie Oriol, 2017. "Time to Slow Down for High‐Frequency Trading? Lessons from Artificial Markets," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 24(2-3), pages 73-79, April.
    30. Atanas Pekanov & Margit Schratzenstaller-Altzinger, 2019. "A Global Financial Transaction Tax. Theory, Practice and Potential Revenues," WIFO Working Papers 582, WIFO.
    31. Sanjay Sehgal & Tarunika Jain Agrawal, 2019. "Impact of Commodity Transaction Tax on Market Liquidity, Volatility, and Government Revenues: An Empirical Study for India," Vikalpa: The Journal for Decision Makers, , vol. 44(1), pages 12-29, March.
    32. S. Kalaiselvi, 2010. "A Buoyancy in the Commodity Trading – A Road Map," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 1(1), pages 30-42, November.
    33. Hayashida, Minoru & Ono, Hiroyuki, 2016. "Tax reforms and stock return volatility: The case of Japan," Journal of Asian Economics, Elsevier, vol. 45(C), pages 1-14.
    34. Lendvai, Julia & Raciborski, Rafal & Vogel, Lukas, 2013. "Macroeconomic effects of an equity transaction tax in a general-equilibrium model," Journal of Economic Dynamics and Control, Elsevier, vol. 37(2), pages 466-482.
    35. Alena Andrejovska & Jozef Glova & Martina Regaskova & Natalia Slyvkanyc, 2024. "The impact of the effective tax rate change on financial assets of commercial banks: The case of Visegrad group countries," E&M Economics and Management, Technical University of Liberec, Faculty of Economics, vol. 27(1), pages 175-191, March.
    36. Jürgen Huber & Michael Kirchler & Daniel Kleinlercher & Matthias Sutter, 2014. "Market vs. residence principle : experimental evidence on the effects of a financial transaction tax," Economics Working Papers ECO2014/03, European University Institute.
    37. Michele Dell’Era, 2018. "Financial Transaction Taxes and Expert Advice," Working and Discussion Papers WP 4/2018, Research Department, National Bank of Slovakia.
    38. Anna Pomeranets & Daniel G. Weaver, 2011. "Security Transaction Taxes and Market Quality," Staff Working Papers 11-26, Bank of Canada.
    39. Iryna Veryzhenko & Arthur Jonath & Etienne Harb, 2022. "Non-Value-Added Tax to improve market fairness and quality," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-30, December.
    40. Hvozdyk, Lyudmyla & Rustanov, Serik, 2016. "The effect of financial transaction tax on market liquidity and volatility: An Italian perspective," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 62-78.
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    43. Fricke, Daniel & Lux, Thomas, 2013. "The effects of a financial transaction tax in an artificial financial market," Kiel Working Papers 1868, Kiel Institute for the World Economy (IfW Kiel).
    44. Neil McCulloch & Grazia Pacillo, 2010. "The Tobin Tax A Review of the Evidence," Working Paper Series 1611, Department of Economics, University of Sussex Business School.
    45. Lepone, Andrew & Wen, Jun & Yang, Jin Young, 2018. "Message traffic restrictions and relative pricing efficiency: Evidence from index futures contracts and exchange-traded funds," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 366-375.
    46. Walch, Florian & Lennkh, Rudolf Alvise, 2015. "Collateral damage? Micro-simulation of transaction cost shocks on the value of central bank collateral," Working Paper Series 1793, European Central Bank.
    47. Minoru Hayashida & Hiroyuki Ono, 2011. "Turnover tax, transaction cost and stock trading volume revisited: investigation of the Japanese case," Applied Financial Economics, Taylor & Francis Journals, vol. 21(24), pages 1809-1817, December.
    48. Katircioglu, Setareh & Katircioglu, Salih, 2023. "The effects of environmental taxation on stock returns of renewable energy producers: Evidence from Turkey," Renewable Energy, Elsevier, vol. 208(C), pages 311-323.
    49. Dean Baker, 2010. "Responses to Criticisms of Taxes on Financial Speculation," CEPR Reports and Issue Briefs 2010-01, Center for Economic and Policy Research (CEPR).
    50. Sebastián Cano-Berlanga & José-Manuel Giménez-Gómez, 2018. "On Chinese stock markets: How have they evolved over time?," Annals of Operations Research, Springer, vol. 266(1), pages 499-510, July.
    51. Stefan Haigner & Friedrich Schneider & Florian Wakolbinger, 2012. "Combating Money Laundering and the Financing of Terrorism: A Survey," Economics of Security Working Paper Series 65, DIW Berlin, German Institute for Economic Research.
    52. Thomas Hemmelgarn & Gaëtan Nicodème & Bogdan Tasnadi & Pol Vermote, 2016. "Financial Transaction Taxes in the European Union," Taxation Papers 62, Directorate General Taxation and Customs Union, European Commission.
    53. He, Eric & Jacob, Martin & Vashishtha, Rahul & Venkatachalam, Mohan, 2022. "Does differential taxation of short-term relative to long-term capital gains affect long-term investment?," Journal of Accounting and Economics, Elsevier, vol. 74(1).
    54. Sinha, Pankaj & Mathur, Kritika, 2015. "Impact of Commodities Transaction Tax on Indian Commodity Futures," MPRA Paper 63677, University Library of Munich, Germany.
    55. Alonso, Miguel A. & Rallo, Juan Ramón & Romero, Alberto, 2013. "El efecto de los impuestos a las transacciones financieras en la estabilidad de los mercados de capital. Un debate sin resolver," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(317), pages 207-231, enero-mar.
    56. Peter Gomber & Martin Haferkorn & Kai Zimmermann, 2016. "Securities Transaction Tax and Market Quality – the Case of France," European Financial Management, European Financial Management Association, vol. 22(2), pages 313-337, March.
    57. Jürgen Huber & Michael Kirchler & Daniel Kleinlercher & Matthias Sutter, 2017. "Market versus Residence Principle: Experimental Evidence on the Effects of a Financial Transaction Tax," Economic Journal, Royal Economic Society, vol. 127(605), pages 610-631, October.
    58. Massimo Milevoj, 2016. "Financial transactions taxation in the European Union and Croatia," Financial Theory and Practice, Institute of Public Finance, vol. 40(3), pages 319-336.
    59. Veronika Solilová & Danuše Nerudová & Marian Dobranschi, 2017. "Sustainability-oriented future EU funding: a financial transaction tax," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(4), pages 687-731, November.
    60. Matthias Kalkuhl & Mekbib Haile & Lukas Kornher & Marta Kozicka, 2015. "Cost-benefit framework for policy action to navigate food price spikes. FOODSECURE Working Paper No 33," FOODSECURE Working papers 33, LEI Wageningen UR.
    61. Michler Albrecht F. & Penatzer Markus, 2012. "Finanztransaktionssteuer: Zielsetzungen und potenzielle Auswirkungen / Financial transaction tax: Objectives and potential effects," ORDO. Jahrbuch für die Ordnung von Wirtschaft und Gesellschaft, De Gruyter, vol. 63(1), pages 85-108, January.
    62. Copenhagen Economics, 2011. "Elasticities of Financial Instruments, Profits and Remuneration," Taxation Papers 30, Directorate General Taxation and Customs Union, European Commission.
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    64. Jürgen Antony & Michiel Bijlsma & Adam Elbourne & Marcel Lever & Gijsbert Zwart, 2012. "Financial transaction tax: review and assessment," CPB Discussion Paper 202, CPB Netherlands Bureau for Economic Policy Analysis.
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    67. Andrea Morone & Pasquale Marcello Falcone & Simone Nuzzo & Piergiuseppe Morone, 2020. "Does a ‘financial transaction tax’ drive out information mirages? An experimental analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 793-820, October.
    68. Karolina Puławska, 2022. "Taxation of the financial sector: Is a bank levy the answer to the financial crisis?," Journal of Banking Regulation, Palgrave Macmillan, vol. 23(4), pages 390-404, December.
    69. Paulo Pereira Silva, 2023. "Securities transaction taxes and stock price informativeness: evidence for France and Italy," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(3), pages 325-345, September.
    70. Ferdinand Fichtner & Kerstin Bernoth & Franziska Bremus & Karl Brenke & Christian Dreger & Burcu Erdogan & Hendrik Hagedorn & Vladimir Kuzin & Katharina Moll & Maximilian Podstawski & Jasper Scheppe &, 2010. "Sommergrundlinien 2010," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 77(26), pages 2-28.
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    1. Saten Kumar, 2016. "Is the US Consumer Credit Asymmetric?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(2), pages 194-215, May.
    2. Paradiso, Antonio & Kumar, Saten & Lucchetta, Marcella, 2014. "Investigating the US consumer credit determinants using linear and non-linear cointegration techniques," Economic Modelling, Elsevier, vol. 42(C), pages 20-28.
    3. Hupfeld, Stefan, 2009. "Rich and healthy--better than poor and sick?: An empirical analysis of income, health, and the duration of the pension benefit spell," Journal of Health Economics, Elsevier, vol. 28(2), pages 427-443, March.

  16. Badi H. Baltagi & Dong Li, 2002. "Series Estimation of Partially Linear Panel Data Models with Fixed Effects," Annals of Economics and Finance, Society for AEF, vol. 3(1), pages 103-116, May.
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    1. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    2. Wen, Mei, 2004. "Bankruptcy, sale, and mergers as a route to the reform of Chinese SOEs," China Economic Review, Elsevier, vol. 15(3), pages 249-267.
    3. Chunrong Ai & Mei Wen, 2005. "Ownership and Sector Performance in Current China -- A Regional Study," Annals of Economics and Finance, Society for AEF, vol. 6(2), pages 303-317, November.
    4. Illukpitiya, Prabodh & Yanagida, John F., 2010. "Farming vs forests: Trade-off between agriculture and the extraction of non-timber forest products," Ecological Economics, Elsevier, vol. 69(10), pages 1952-1963, August.
    5. Wu, Zai Bin & Yeung, Godfrey & Mok, Vincent & Han, Zhaozhou, 2007. "Firm-specific knowledge and technical efficiency of watch and clock manufacturing firms in China," International Journal of Production Economics, Elsevier, vol. 107(2), pages 317-332, June.
    6. Xunpeng Shi & R. Grafton, 2010. "Efficiency impacts of the Chinese industrial transition: a quantitative evaluation of reforms in the coal industry," Economic Change and Restructuring, Springer, vol. 43(1), pages 1-19, February.

  18. Li, Qi, et al, 2002. "Semiparametric Smooth Coefficient Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 412-422, July.

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    1. Thanasis Stengos & Eleftherios Zaharias, 2002. "Intertemporal Pricing and Price Discrimination: A Semiparametric Hedonic Analysis of the Personal Computer Market," University of Cyprus Working Papers in Economics 0211, University of Cyprus Department of Economics.
    2. Delgado, Michael S. & McCloud, Nadine & Kumbhakar, Subal C., 2014. "A generalized empirical model of corruption, foreign direct investment, and growth," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 298-316.
    3. Hu, Xuemei, 2017. "Semi-parametric inference for semi-varying coefficient panel data model with individual effects," Journal of Multivariate Analysis, Elsevier, vol. 154(C), pages 262-281.
    4. Sun, Kai & Kumbhakar, Subal C., 2013. "Semiparametric smooth-coefficient stochastic frontier model," Economics Letters, Elsevier, vol. 120(2), pages 305-309.
    5. Sotirios Kokas & Dmitri Vinogradov & Marios Zachariadis, 2018. "Which Banks Smooth and at What Price?," Working Papers 2018_03, Business School - Economics, University of Glasgow.
    6. Shengjie Hong & Yu-Chin Hsu & Yuanyuan Wan, 2023. "Subvector inference for Varying Coefficient Models with Partial Identification," Working Papers tecipa-756, University of Toronto, Department of Economics.
    7. Taining Wang & Jinjing Tian & Feng Yao, 2021. "Does high debt ratio influence Chinese firms’ performance? A semiparametric stochastic frontier approach with zero inefficiency," Empirical Economics, Springer, vol. 61(2), pages 587-636, August.
    8. Du, Kerui & Cheng, Yuanyuan & Yao, Xin, 2021. "Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities," Energy Economics, Elsevier, vol. 98(C).
    9. Zhang, Jingfang & Malikov, Emir & Miao, Ruiqing & Ghosh, Prasenjit N., 2024. "Geography of Climate Change Adaptation in U.S. Agriculture: Evidence from Spatially Varying Long-Differences Approach," 2024 Annual Meeting, July 28-30, New Orleans, LA 343758, Agricultural and Applied Economics Association.
    10. Gu, Jingping & Li, Qi & Yang, Jian, 2013. "Fiscal deficits and mean reversion in real exchange rates," Economics Letters, Elsevier, vol. 118(2), pages 300-303.
    11. Li, Gaorong & Feng, Sanying & Peng, Heng, 2011. "A profile-type smoothed score function for a varying coefficient partially linear model," Journal of Multivariate Analysis, Elsevier, vol. 102(2), pages 372-385, February.
    12. Im, Hyun Joong & Park, Young Joon & Shon, Janghoon, 2015. "Product market competition and the value of innovation: Evidence from US patent data," Economics Letters, Elsevier, vol. 137(C), pages 78-82.
    13. Fan, Guo-Liang & Liang, Han-Ying & Shen, Yu, 2016. "Penalized empirical likelihood for high-dimensional partially linear varying coefficient model with measurement errors," Journal of Multivariate Analysis, Elsevier, vol. 147(C), pages 183-201.
    14. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
    15. Price, Sarah & Zhang, Xiaohui & Spencer, Anne, 2020. "Measuring the impact of national guidelines: What methods can be used to uncover time-varying effects for healthcare evaluations?," Social Science & Medicine, Elsevier, vol. 258(C).
    16. Thomas P. Triebs & Subal C. Kumbhakar, 2018. "Management in production: from unobserved to observed," Journal of Productivity Analysis, Springer, vol. 49(2), pages 111-121, June.
    17. Öztürk, Serda Selin & Stengos, Thanasis, 2014. "Testing for structural breaks with local smoothers: A simulation study," Economics Letters, Elsevier, vol. 125(1), pages 119-122.
    18. Peixin Zhao & Liugen Xue, 2009. "Empirical likelihood inferences for semiparametric varying-coefficient partially linear errors-in-variables models with longitudinal data," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 21(7), pages 907-923.
    19. Kai Sun & Ruhul Salim, 2020. "A semiparametric stochastic input distance frontier model with application to the Indonesian banking industry," Journal of Productivity Analysis, Springer, vol. 54(2), pages 139-156, December.
    20. Dong, Hao & Otsu, Taisuke & Taylor, Luke, 2022. "Estimation of varying coefficient models with measurement error," Journal of Econometrics, Elsevier, vol. 230(2), pages 388-415.
    21. Zhang, Rui & Sun, Kai & Delgado, Michael S. & Kumbhakar, Subal C., 2012. "Productivity in China's high technology industry: Regional heterogeneity and R&D," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 127-141.
    22. Samuele Centorrino & Jean-Pierre Florens & Jean-Michel Loubes, 2022. "Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables," Papers 2202.08977, arXiv.org.
    23. Cai, Zongwu & Li, Qi, 2008. "Nonparametric Estimation Of Varying Coefficient Dynamic Panel Data Models," Econometric Theory, Cambridge University Press, vol. 24(5), pages 1321-1342, October.
    24. Sun, Yiguo & Hsiao, Cheng & Li, Qi, 2011. "Measuring correlations of integrated but not cointegrated variables: A semiparametric approach," Journal of Econometrics, Elsevier, vol. 164(2), pages 252-267, October.
    25. Theofanis P. Mamuneas & Andreas Savvides & Thanasis Stengos, 2006. "Economic development and the return to human capital: a smooth coefficient semiparametric approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 111-132, January.
    26. Arteaga-Molina, Luis A., 2019. "Testing Constancy in Varying Coefficient Models," UC3M Working papers. Economics 27981, Universidad Carlos III de Madrid. Departamento de Economía.
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    Cited by:

    1. Jieun Lee, 2022. "Testing Endogeneity of Spatial Weights Matrices in Spatial Dynamic Panel Data Models," Papers 2209.05563, arXiv.org.
    2. Julie Le Gallo, 2004. "Hétérogénéité spatiale : principes et méthodes," Économie et Prévision, Programme National Persée, vol. 162(1), pages 151-172.
    3. Kato, Takafumi, 2012. "Prediction in the lognormal regression model with spatial error dependence," Journal of Housing Economics, Elsevier, vol. 21(1), pages 66-76.
    4. 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.
    5. 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.
    6. David M. Drukker & Peter Egger & Ingmar R. Prucha, 2013. "On Two-Step Estimation of a Spatial Autoregressive Model with Autoregressive Disturbances and Endogenous Regressors," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 686-733, August.
    7. Peter Robinson, 2007. "Correlation testing in time series, spatial and cross-sectional data," CeMMAP working papers CWP01/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Le, Canh Quang & Li, Dong, 2008. "Double-Length Regression tests for testing functional forms and spatial error dependence," Economics Letters, Elsevier, vol. 101(3), pages 253-257, December.
    9. 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.
    10. Li, Haiqi & Fan, Rui & Park, Sung Y., 2018. "Generalized empirical likelihood specification test robust to local misspecification," Economics Letters, Elsevier, vol. 171(C), pages 149-153.
    11. 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.
    12. Peter M Robinson, 2009. "Developments in the Analysis of Spatial Data," STICERD - Econometrics Paper Series 531, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    13. Bera Anil K. & Bilias Yannis & Yoon Mann J. & Taşpınar Süleyman & Doğan Osman, 2020. "Adjustments of Rao’s Score Test for Distributional and Local Parametric Misspecifications," Journal of Econometric Methods, De Gruyter, vol. 9(1), pages 1-29, January.
    14. 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.
    15. Malikov, Emir & Sun, Yiguo, 2017. "Semiparametric Estimation and Testing of Smooth Coefficient Spatial Autoregressive Models," MPRA Paper 77253, University Library of Munich, Germany.
    16. Peter M Robinson, 2009. "Correlation Testing in Time Series, SpatialandCross-Sectional Data," STICERD - Econometrics Paper Series 530, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    17. 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.
    18. 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.
    19. Savage, Jeffrey & Ifft, Jennifer, 2013. "Does Pumping Pay: Groundwater Management Institutions and Cropland Values in Nebraska?," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150581, Agricultural and Applied Economics Association.
    20. 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.
    21. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    22. Michael Brady & Elena Irwin, 2011. "Accounting for Spatial Effects in Economic Models of Land Use: Recent Developments and Challenges Ahead," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(3), pages 487-509, March.
    23. 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.
    24. Boxall, Peter C. & Chan, Wing H. & McMillan, Melville L., 2005. "The impact of oil and natural gas facilities on rural residential property values: a spatial hedonic analysis," Resource and Energy Economics, Elsevier, vol. 27(3), pages 248-269, October.
    25. Doğan, Osman & Taşpınar, Süleyman & Bera, Anil K., 2021. "A Bayesian robust chi-squared test for testing simple hypotheses," Journal of Econometrics, Elsevier, vol. 222(2), pages 933-958.
    26. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    27. 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.

  20. Badi Baltagi & Dong Li, 2001. "Double Length Artificial Regressions For Testing Spatial Dependence," Econometric Reviews, Taylor & Francis Journals, vol. 20(1), pages 31-40.

    Cited by:

    1. Mur, Jesús & Angulo, Ana, 2009. "Model selection strategies in a spatial setting: Some additional results," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 200-213, March.
    2. Badi H. Baltagi & Long Liu, 2012. "Testing for Spatial Lag and Spatial Error Dependence Using Double Length Artificial Regressions," Center for Policy Research Working Papers 147, Center for Policy Research, Maxwell School, Syracuse University.
    3. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    4. Le, Canh Quang & Li, Dong, 2008. "Double-Length Regression tests for testing functional forms and spatial error dependence," Economics Letters, Elsevier, vol. 101(3), pages 253-257, December.
    5. Benjamin Born & Jörg Breitung, 2011. "Simple regression‐based tests for spatial dependence," Econometrics Journal, Royal Economic Society, vol. 14(2), pages 330-342, July.
    6. Li Dong & Le Canh, 2010. "Nonlinearity and Spatial Lag Dependence: Tests Based on Double-Length Regressions," Journal of Time Series Econometrics, De Gruyter, vol. 2(1), pages 1-18, June.
    7. Joachim Möller & Alisher Aldashev, 2007. "Wage Inequality, Reservation Wages and Labor Market Participation," International Regional Science Review, , vol. 30(2), pages 120-151, April.
    8. Wolfgang Keller & Carol H. Shiue, 2003. "The Origins of Spatial Interaction," NBER Working Papers 10069, National Bureau of Economic Research, Inc.
    9. Stratford M. Douglas & Julia N. Popova, 2011. "Econometric Estimation of Spatial Patterns in Electricity Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 81-106.
    10. 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.
    11. 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.
    12. 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.
    13. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    14. Joachim Möller & Alisher Aldashev, 2006. "Interregional differences in labor market participation," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 26(1), pages 25-50, March.
    15. Simlai, Prodosh, 2014. "Estimation of variance of housing prices using spatial conditional heteroskedasticity (SARCH) model with an application to Boston housing price data," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 17-30.
    16. Deng, Mingyu & Wang, Mingxi, 2022. "Artificial regression test diagnostics for impact measures in spatial models," Economics Letters, Elsevier, vol. 217(C).
    17. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    18. Donou-Adonsou, Ficawoyi, 2019. "Technology, education, and economic growth in Sub-Saharan Africa," Telecommunications Policy, Elsevier, vol. 43(4), pages 353-360.
    19. Joachim Möller, 2009. "Regional variations in the price of building land: a spatial econometrics approach for West Germany," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(1), pages 113-132, March.

  21. Baltagi, Badi H. & Li, Dong, 2000. "Double-length regressions for the Box-Cox difference model with heteroskedasticity or autocorrelation," Economics Letters, Elsevier, vol. 69(1), pages 9-14, October.

    Cited by:

    1. Badi H. Baltagi & Long Liu, 2012. "Testing for Spatial Lag and Spatial Error Dependence Using Double Length Artificial Regressions," Center for Policy Research Working Papers 147, Center for Policy Research, Maxwell School, Syracuse University.
    2. Le, Canh Quang & Li, Dong, 2008. "Double-Length Regression tests for testing functional forms and spatial error dependence," Economics Letters, Elsevier, vol. 101(3), pages 253-257, December.
    3. Li Dong & Le Canh, 2010. "Nonlinearity and Spatial Lag Dependence: Tests Based on Double-Length Regressions," Journal of Time Series Econometrics, De Gruyter, vol. 2(1), pages 1-18, June.
    4. Z. L. Yang Y. K. Tse, 2004. "Tests of Functional Form and Heteroscedasticity," Econometric Society 2004 Australasian Meetings 302, Econometric Society.

  22. Dong Li & Shao-King Lin & Chulin Li, 1997. "The impact of settlement time on the volatility of stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 7(6), pages 689-694.

    Cited by:

    1. Yongyang Su & Lan Zheng, 2011. "The Impact of Securities Transaction Taxes on the Chinese Stock Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(0), pages 32-46, January.
    2. Isabel Parra-Frutos, 2009. "The behaviour of the modified Levene’s test when data are not normally distributed," Computational Statistics, Springer, vol. 24(4), pages 671-693, December.

Chapters

  1. An Yonghong & Hsiao Cheng & Li Dong, 2016. "Semiparametric Estimation of Partially Linear Varying Coefficient Panel Data Models," Advances in Econometrics, in: Essays in Honor of Aman Ullah, volume 36, pages 47-65, Emerald Group Publishing Limited.

    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. Du, Kerui & Yu, Ying & Wei, Chu, 2020. "Climatic impact on China's residential electricity consumption: Does the income level matter?," China Economic Review, Elsevier, vol. 63(C).
    3. Li, Jianglong & Liu, Hongxun & Du, Kerui, 2019. "Does market-oriented reform increase energy rebound effect? Evidence from China's regional development," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
    4. Du, Kerui & Yu, Ying & Li, Jing, 2020. "Does international trade promote CO2 emission performance? An empirical analysis based on a partially linear functional-coefficient panel data model," Energy Economics, Elsevier, vol. 92(C).

  2. Badi H. Baltagi & Dong Li, 2004. "Prediction in the Panel Data Model with Spatial Correlation," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax & Sergio J. Rey (ed.), Advances in Spatial Econometrics, chapter 13, pages 283-295, Springer.

    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. Michael Beenstock & Daniel Felsenstein, 2010. "Spatial error correction and cointegration in nonstationary panel data: regional house prices in Israel," Journal of Geographical Systems, Springer, vol. 12(2), pages 189-206, June.
    3. Riccardo Corradini, 2006. "Advanced estimates of regional accounts: an alternative approach by spatial panels," Computing in Economics and Finance 2006 287, Society for Computational Economics.
    4. Hampel, Katharina & Kunz, Marcus & Schanne, Norbert & Wapler, Rüdiger & Weyh, Antje, 2007. "Regional employment forecasts with spatial interdependencies," IAB-Discussion Paper 200702, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Shiyun Cao & Qiankun Zhou, 2022. "Common Correlated Effects Estimation for Dynamic Heterogeneous Panels with Non-Stationary Multi-Factor Error Structures," Econometrics, MDPI, vol. 10(3), pages 1-27, August.
    6. Mollah, Sabur & Skully, Michael & Liljeblom, Eva, 2021. "Strong Boards and Risk-taking in Islamic Banks," Review of Corporate Finance, now publishers, vol. 1(1-2), pages 135-180, April.
    7. Matteo Manera & Cristina Cattaneo & Elisa Scarpa, 2008. "Industrial Coal Demand in China: A Provincial Analysis," Working Papers 2008.8, Fondazione Eni Enrico Mattei.
    8. Laila Al-Harthy & Revenio Jalagat, Jr. & Karima Sayari, 2021. "Determinants of bank profitability during oil price decline: Evidence from selected banks in Oman," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(8), pages 200-217, December.
    9. 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.
    10. Nicolas DEBARSY (CERPE De Namur) & Cem ERTUR & James P. LeSAGE, 2010. "Interpreting Dynamic Space-Time Panel Data Models," LEO Working Papers / DR LEO 800, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    11. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    12. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 995-1024, Elsevier.
    13. Baltagi B-H & Bresson G. & Pirotte A., 2007. "Forecasting with Spatial Panel Data," Working Papers ERMES 0710, ERMES, University Paris 2.
    14. Baltagi, Badi H., 2006. "Forecasting with panel data," Discussion Paper Series 1: Economic Studies 2006,25, Deutsche Bundesbank.
    15. Longhi, Simonetta & Nijkamp, Peter, 2006. "Forecasting regional labor market developments under spatial heterogeneity and spatial correlation," Serie Research Memoranda 0015, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    16. Ana Angulo & F. Trívez, 2010. "The impact of spatial elements on the forecasting of Spanish labour series," Journal of Geographical Systems, Springer, vol. 12(2), pages 155-174, June.
    17. Anna Gloria Billé & Alessio Tomelleri & Francesco Ravazzolo, 2021. "Forecasting Regional GDPs: a Comparison with Spatial Dynamic Panel Data Models," FBK-IRVAPP Working Papers 2021-02, Research Institute for the Evaluation of Public Policies (IRVAPP), Bruno Kessler Foundation.
    18. Baltagi, Badi H. & Pirotte, Alain, 2014. "Prediction in a spatial nested error components panel data model," International Journal of Forecasting, Elsevier, vol. 30(3), pages 407-414.
    19. Bell, Kathleen P. & Dalton, Timothy J., 2006. "Spatial Economic Analysis in Data-Rich Environments," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25241, International Association of Agricultural Economists.
    20. 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.
    21. 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.
    22. Harald Badinger & Peter Egger, 2009. "Estimation of Higher-Order Spatial Autoregressive Panel Data Error Component Models," CESifo Working Paper Series 2556, CESifo.
    23. Nikolas Kuschnig, 2022. "Bayesian spatial econometrics: a software architecture," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-25, December.
    24. Takafumi Kato, 2020. "Likelihood-based strategies for estimating unknown parameters and predicting missing data in the simultaneous autoregressive model," Journal of Geographical Systems, Springer, vol. 22(1), pages 143-176, January.
    25. Mark V. JANIKAS & Sergio J. REY, 2008. "On The Relationships Between Spatial Clustering, Inequality, And Economic Growth In The United States : 1969-2000," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 27, pages 13-34.
    26. Simonetta Longhi & Peter Nijkamp, 2005. "Forecasting Regional Labour Market Developments Under Spatial Heterogeneity and Spatial Autocorrelation," Tinbergen Institute Discussion Papers 05-041/3, Tinbergen Institute.
    27. Harry H. Kelejian & Gianfranco Piras, 2012. "Estimation of Spatial Models with Endogenous Weighting Matrices and an Application to a Demand Model for Cigarettes," Working Papers Working Paper 2013-02, Regional Research Institute, West Virginia University.
    28. Qian Zhang & Decai Tang & Brandon J. Bethel, 2021. "Impact of Urbanization on the Environmental Regulation Efficiency in the Yangtze River Basin Based on the Empirical Analysis of Spatial Econometrics," IJERPH, MDPI, vol. 18(17), pages 1-20, August.
    29. Yang, Zhenlin & Li, Chenwei & Tse, Y.K., 2006. "Functional form and spatial dependence in dynamic panels," Economics Letters, Elsevier, vol. 91(1), pages 138-145, April.
    30. Ana Angulo & Jesús Mur & Javier Trivez, 2014. "Measure of the resilience to Spanish economic crisis: the role of specialization," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 263-275.
    31. Konstantin A. Kholodilin & Boriss Siliverstovs & Stefan Kooths, 2007. "A Dynamic Panel Data Approach to the Forecasting of the GDP of German Länder," Discussion Papers of DIW Berlin 664, DIW Berlin, German Institute for Economic Research.
    32. Herrera Gómez, Marcos, 2017. "Fundamentos de Econometría Espacial Aplicada [Fundamentals of Applied Spatial Econometrics]," MPRA Paper 80871, University Library of Munich, Germany.
    33. A. M. Angulo & J. Mur & F. J. Trívez, 2018. "Measuring resilience to economic shocks: an application to Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(2), pages 349-373, March.
    34. Aparna Sengupta, 2017. "Testing for a Structural Break in a Spatial Panel Model," Econometrics, MDPI, vol. 5(1), pages 1-17, March.
    35. Matías Mayor & Roberto Patuelli, 2012. "Short-Run Regional Forecasts: Spatial Models through Varying Cross-Sectional and Temporal Dimensions," Working Paper series 15_12, Rimini Centre for Economic Analysis, revised Oct 2012.
    36. W. Saart, Patrick & Kim, Namhyun & Bateman, Ian, 2021. "Understanding spatial heterogeneity in GB agricultural land-use for improved policy targeting," Cardiff Economics Working Papers E2021/8, Cardiff University, Cardiff Business School, Economics Section.
    37. 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.
    38. Fonseca Morello, Thiago & Marchetti Ramos, Rossano & O. Anderson, Liana & Owen, Nathan & Rosan, Thais Michele & Steil, Lara, 2020. "Predicting fires for policy making: Improving accuracy of fire brigade allocation in the Brazilian Amazon," Ecological Economics, Elsevier, vol. 169(C).
    39. W. Saart, Patrick & Kim, Namhyun & Bateman, Ian, 2021. "Modeling and predicting agricultural land use in England based on spatially high-resolution data," Cardiff Economics Working Papers E2021/7, Cardiff University, Cardiff Business School, Economics Section.
    40. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    41. Giuseppe Arbia & Gianfranco Piras, 2005. "Convergence in per-capita GDP across European regions using panel data models extended to spatial autocorrelation effects," ISAE Working Papers 51, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    42. Ousmane Traoré, 2020. "Economic Growth and Human Capital Accumulation across Countries: Evidence from WAEMU Region," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 26(2), pages 147-159, May.
    43. Semerikova, Elena & Demidova, Olga, 2016. "Using spatial econometric models for regional unemployment forecasting," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 43, pages 29-51.
    44. J. Paul Elhorst, 2014. "Matlab Software for Spatial Panels," International Regional Science Review, , vol. 37(3), pages 389-405, July.
    45. Ana Angulo & Jesús Mur & Javier Trívez, 2013. "Forecasting heterogeneous regional data: the case of European employment," ERSA conference papers ersa13p953, European Regional Science Association.
    46. Ignacio Sacristán López-Bravo & Carlos San Juan Mesonada, 2022. "Effects of Policy Mix on European Regional Convergence," EconPol Working Paper 73, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.

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