IDEAS home Printed from https://ideas.repec.org/r/eee/regeco/v40y2010i5p255-271.html
   My bibliography  Save this item

Some recent developments in spatial panel data models

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Junyue Wu & Yasumasa Matsuda, 2021. "A threshold extension of spatial dynamic panel model with fixed effects," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-30, December.
  2. Cabral, Joilson de Assis & Freitas Cabral, Maria Viviana de & Pereira Júnior, Amaro Olímpio, 2020. "Elasticity estimation and forecasting: An analysis of residential electricity demand in Brazil," Utilities Policy, Elsevier, vol. 66(C).
  3. 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.
  4. Zheye Wang & Yeqing Cheng & Xinyue Ye & Y. H. Dennis Wei, 2016. "Analyzing the Space–Time Dynamics of Innovation in China: ESDA and Spatial Panel Approaches," Growth and Change, Wiley Blackwell, vol. 47(1), pages 111-129, March.
  5. Ying Han & Baoling Jin & Xiaoyuan Qi & Huasen Zhou, 2021. "Influential Factors and Spatiotemporal Characteristics of Carbon Intensity on Industrial Sectors in China," IJERPH, MDPI, vol. 18(6), pages 1-18, March.
  6. Pablo Fernández & Marcos Herrera Gómez, 2023. "Regresiones SUR Espaciales. Análisis Espacio-temporal del Empleo Sectorial en Argentina," Working Papers 279, Red Nacional de Investigadores en Economía (RedNIE).
  7. Debarsy, Nicolas & Gnabo, Jean-Yves & Kerkour, Malik, 2017. "Sovereign wealth funds’ cross-border investments: Assessing the role of country-level drivers and spatial competition," Journal of International Money and Finance, Elsevier, vol. 76(C), pages 68-87.
  8. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
  9. Haishi Li & Xiangyi Xu & Shuaishuai Li, 2020. "Does Entrepreneurship Contribute to Innovation Performance When Considering Spatial Spillover Effects? Evidence From the Automobile Industrial Cluster in China," SAGE Open, , vol. 10(4), pages 21582440209, December.
  10. Millo, Giovanni, 2014. "Maximum likelihood estimation of spatially and serially correlated panels with random effects," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 914-933.
  11. Yihua Yu & Li Zhang & Fanghua Li & Xinye Zheng, 2013. "Strategic interaction and the determinants of public health expenditures in China: a spatial panel perspective," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 203-221, February.
  12. Guilherme Mendes Resende & Alexandre Xavier Ywata de Carvalho & Patrícia Alessandra Morita Sakowski, 2013. "Evaluating Multiple Spatial Dimensions of Economic Growth in Brazil Using Spatial Panel Data Models (1970 - 2000)," Discussion Papers 1830a, Instituto de Pesquisa Econômica Aplicada - IPEA.
  13. Baltagi, Badi H. & Yen, Yin-Fang, 2014. "Hospital treatment rates and spillover effects: Does ownership matter?," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 193-202.
  14. Giorgio Prodi & Francesco Nicolli & Federico Frattini, 2017. "State restructuring and subnational innovation spaces across Chinese prefectures," Environment and Planning C, , vol. 35(1), pages 94-112, February.
  15. Atems, Bebonchu, 2013. "The spatial dynamics of growth and inequality: Evidence using U.S. county-level data," Economics Letters, Elsevier, vol. 118(1), pages 19-22.
  16. Masayoshi Hayashi & Wataru Yamamoto, 2017. "Information sharing, neighborhood demarcation, and yardstick competition: an empirical analysis of intergovernmental expenditure interaction in Japan," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(1), pages 134-163, February.
  17. Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2014. "Estimating and Forecasting with a Dynamic Spatial Panel Data Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(1), pages 112-138, February.
  18. Alexander Klemm & Stefan Parys, 2012. "Empirical evidence on the effects of tax incentives," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(3), pages 393-423, June.
  19. Horrace, William C. & Liu, Xiaodong & Patacchini, Eleonora, 2016. "Endogenous network production functions with selectivity," Journal of Econometrics, Elsevier, vol. 190(2), pages 222-232.
  20. A. Mahabbati & A. Izady & M. Mousavi Baygi & K. Davary & S. M. Hasheminia, 2017. "Daily soil temperature modeling using ‘panel-data’ concept," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(8), pages 1385-1401, June.
  21. Hans Dewachter & Romain Houssa & Priscilla Toffano, 2012. "Spatial propagation of macroeconomic shocks in Europe," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 148(2), pages 377-402, June.
  22. Júlia Gallego Ziero Uhr & André Luis Squarize Chagas, Daniel de Abreu Pereira Uhr, Renan Porn Peres, 2017. "A study on environmental infractions for Brazilian municipalities: a spatial dynamic panel approach," Working Papers, Department of Economics 2017_13, University of São Paulo (FEA-USP).
  23. Leopoldo Catania & Anna Gloria Billé, 2017. "Dynamic spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(6), pages 1178-1196, September.
  24. Debarsy, Nicolas & Dossougoin, Cyrille & Ertur, Cem & Gnabo, Jean-Yves, 2018. "Measuring sovereign risk spillovers and assessing the role of transmission channels: A spatial econometrics approach," Journal of Economic Dynamics and Control, Elsevier, vol. 87(C), pages 21-45.
  25. Parent, Olivier & LeSage, James P., 2012. "Spatial dynamic panel data models with random effects," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 727-738.
  26. Tokgoz, Simla & Traoré, Fousseini, 2023. "Understanding E10 markets in the U.S.: Evidence from spatial data," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1267-1281.
  27. Wang Lu & Hao Yu & Wei Yi-Ming, 2017. "How Do Regional Interactions in Space Affect China’s Mitigation Targets and Economic Development?," Working Papers 2017.21, Fondazione Eni Enrico Mattei.
  28. Anil K. Bera & Osman Doğan & Süleyman Taşpınar & Monalisa Sen, 2020. "Specification tests for spatial panel data models," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-39, December.
  29. Shew Fan Liu & Zhenlin Yang, 2015. "Asymptotic Distribution and Finite Sample Bias Correction of QML Estimators for Spatial Error Dependence Model," Econometrics, MDPI, vol. 3(2), pages 1-36, May.
  30. Borck, Rainald & Fossen, Frank M. & Freier, Ronny & Martin, Thorsten, 2015. "Race to the debt trap? — Spatial econometric evidence on debt in German municipalities," Regional Science and Urban Economics, Elsevier, vol. 53(C), pages 20-37.
  31. Gao, Zhaoxing & Ma, Yingying & Wang, Hansheng & Yao, Qiwei, 2019. "Banded spatio-temporal autoregressions," Journal of Econometrics, Elsevier, vol. 208(1), pages 211-230.
  32. Zhang, Yue-Jun & Liu, Zhao & Zhou, Si-Ming & Qin, Chang-Xiong & Zhang, Huan, 2018. "The impact of China's Central Rise Policy on carbon emissions at the stage of operation in road sector," Economic Modelling, Elsevier, vol. 71(C), pages 159-173.
  33. Michaela Fuchs & Antje Weyh, 2014. "Demographic change and unemployment in East Germany: how close are the ties?," ERSA conference papers ersa14p220, European Regional Science Association.
  34. Lottmann, Franziska, 2012. "Spatial dependencies in German matching functions," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 27-41.
  35. Samantha Leorato & Maura Mezzetti, 2015. "Spatial Panel Data Model with error dependence: a Bayesian Separable Covariance Approach," CEIS Research Paper 338, Tor Vergata University, CEIS, revised 09 Apr 2015.
  36. Hanen Ragoubi & Zouheir Mighri, 2021. "Spillover effects of trade openness on CO2 emissions in middle‐income countries: A spatial panel data approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 835-877, June.
  37. Riccardo Crescenzi & Fabrizio De Filippis & Fabio Pierangeli, 2015. "In Tandem for Cohesion? Synergies and Conflicts between Regional and Agricultural Policies of the European Union," Regional Studies, Taylor & Francis Journals, vol. 49(4), pages 681-704, April.
  38. Blasques, Francisco & Koopman, Siem Jan & Lucas, Andre & Schaumburg, Julia, 2016. "Spillover dynamics for systemic risk measurement using spatial financial time series models," Journal of Econometrics, Elsevier, vol. 195(2), pages 211-223.
  39. Guilherme Resende & Alexandre Carvalho & Patrícia Sakowski & Túlio Cravo, 2016. "Evaluating multiple spatial dimensions of economic growth in Brazil using spatial panel data models," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 1-31, January.
  40. Debarsy, Nicolas & Ertur, Cem, 2010. "Testing for spatial autocorrelation in a fixed effects panel data model," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 453-470, November.
  41. Lionel Vedrine & Julie Le Gallo, 2021. "Does EU Cohesion Policy affect territorial inequalities and regional development?," Post-Print hal-03327693, HAL.
  42. Chien-Yuan Sher & Ho Ting Wong & Yu-Chun Lin, 2020. "The Impact of Dengue on Economic Growth: The Case of Southern Taiwan," IJERPH, MDPI, vol. 17(3), pages 1-12, January.
  43. Vincent, Rose Camille & Osei Kwadwo, Victor, 2022. "Spatial interdependence and spillovers of fiscal grants in Benin: Static and dynamic diffusions," World Development, Elsevier, vol. 158(C).
  44. Kazuhiko Hayakawa & M. Hashem Pesaran & L. Vanessa Smith, 2014. "Transformed Maximum Likelihood Estimation of Short Dynamic Panel Data Models with Interactive Effects," CESifo Working Paper Series 4822, CESifo.
  45. Celbis, Mehmet Guney & Wong, Pui-hang & Guznajeva, Tatjana, 2018. "The Eurasian customs union and the economic geography of Belarus: A panel convergence approach," MERIT Working Papers 2018-029, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  46. Giulio Cainelli & Sandro Montresor & Giuseppe Vittucci Marzetti, 2014. "Spatial agglomeration and firm exit: a spatial dynamic analysis for Italian provinces," Small Business Economics, Springer, vol. 43(1), pages 213-228, June.
  47. James Wolter, 2015. "Kernel Estimation Of Hazard Functions When Observations Have Dependent and Common Covariates," Economics Series Working Papers 761, University of Oxford, Department of Economics.
  48. Carmelo Algeri & Antonio F. Forgione & Carlo Migliardo, 2022. "Do spatial dependence and market power matter in the diversification of cooperative banks?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(3), November.
  49. 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.
  50. Giuseppe Arcuri & Marc Brunetto & Nadine Levratto, 2019. "Spatial patterns and determinants of firm exit: an empirical analysis on France," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(1), pages 99-118, February.
  51. Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
  52. Maté-Sánchez-Val, Mariluz & López-Hernandez, Fernando & Mur-Lacambra, Jesús, 2017. "How do neighboring peer companies influence SMEs’ financial behavior?," Economic Modelling, Elsevier, vol. 63(C), pages 104-114.
  53. Gabriel S. Lee & Stefanie Braun, 2021. "Agglomeration Spillover Effects in German Land and House Prices at the City and County Levels," Working Papers 207, Bavarian Graduate Program in Economics (BGPE).
  54. Wang, Luya & Li, Kunpeng & Wang, Zhengwei, 2014. "Quasi maximum likelihood estimation for simultaneous spatial autoregressive models," MPRA Paper 59901, University Library of Munich, Germany.
  55. Fossen, Frank M. & Martin, Thorsten, 2018. "Entrepreneurial dynamics over space and time," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 204-214.
  56. Hsiao, Cheng, 2018. "Panel models with interactive effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 645-673.
  57. Alexander Chudik & M. Hashem Pesaran, 2013. "Large Panel Data Models with Cross-Sectional Dependence: A Survey," CESifo Working Paper Series 4371, CESifo.
  58. Jiao, Xiaoying & Li, Gang & Chen, Jason Li, 2020. "Forecasting international tourism demand: a local spatiotemporal model," Annals of Tourism Research, Elsevier, vol. 83(C).
  59. Xinye Zheng & Feng Song & Yihua Yu & Shunfeng Song, 2015. "In Search of Fiscal Interactions: A Spatial Analysis of Chinese Provincial Infrastructure Spending," Review of Development Economics, Wiley Blackwell, vol. 19(4), pages 860-876, November.
  60. Mengqi Zhang & Boping Tian, 2023. "Profile Maximum Likelihood Estimation of Single-Index Spatial Dynamic Panel Data Model," Mathematics, MDPI, vol. 11(13), pages 1-16, July.
  61. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2022. "Bayesian estimation of multivariate panel probits with higher‐order network interdependence and an application to firms' global market participation in Guangdong," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1356-1378, November.
  62. J. Paul Elhorst & Pim Heijnen & Anna Samarina & Jan P. A. M. Jacobs, 2017. "Transitions at Different Moments in Time: A Spatial Probit Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 422-439, March.
  63. Katharina Pijnenburg, 2013. "The Spatial Dimension of US House Price Developments," Discussion Papers of DIW Berlin 1270, DIW Berlin, German Institute for Economic Research.
  64. Lin, Boqiang & Zhou, Yicheng, 2022. "Measuring the green economic growth in China: Influencing factors and policy perspectives," Energy, Elsevier, vol. 241(C).
  65. Paul Elhorst & Solmaria Halleck Vega, 2013. "On spatial econometric models, spillover effects, and W," ERSA conference papers ersa13p222, European Regional Science Association.
  66. Liu, Shuangzhe & Ma, Tiefeng & Polasek, Wolfgang, 2014. "Spatial system estimators for panel models: A sensitivity and simulation study," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 101(C), pages 78-102.
  67. Barthel, Fabian & Neumayer, Eric, 2015. "Spatial dependence in asylum migration," LSE Research Online Documents on Economics 64187, London School of Economics and Political Science, LSE Library.
  68. Li, Jianan & Han, Xiaoyi, 2019. "Bayesian Lassos for spatial durbin error model with smoothness prior: Application to detect spillovers of China's treaty ports," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 38-74.
  69. Li, Hengyun & Chen, Jason Li & Li, Gang & Goh, Carey, 2016. "Tourism and regional income inequality: Evidence from China," Annals of Tourism Research, Elsevier, vol. 58(C), pages 81-99.
  70. James P. LESAGE, 2014. "Software For Bayesian Spatial Model Comparison," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 40, pages 11-24.
  71. Hory, Marie-Pierre, 2018. "Delayed mimicking: the timing of fiscal interactions in Europe," European Journal of Political Economy, Elsevier, vol. 55(C), pages 97-118.
  72. Wang, Chao & Lim, Ming K. & Zhang, Xinyi & Zhao, Longfeng & Lee, Paul Tae-Woo, 2020. "Railway and road infrastructure in the Belt and Road Initiative countries: Estimating the impact of transport infrastructure on economic growth," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 288-307.
  73. Alexandra SCHAFFAR, 2012. "La Loi De Zipf Sous Le Prisme De L’Auto-Correlation Spatiale - Les Cas De La Chine Et De L’Inde," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 36, pages 189-204.
  74. Sorin Daniel Manole & Antonio Tache & Monica Tache, 2014. "Regional Development Survey by Data Panel Models," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 62(8), pages 19-33, August.
  75. Stefan Brehm & Jesper Svensson, 2020. "Environmental governance with Chinese characteristics: are environmental model cities a good example for other municipalities?," Asia-Pacific Journal of Regional Science, Springer, vol. 4(1), pages 111-134, February.
  76. Gianfranco Piras, 2013. "Efficient GMM Estimation of a Cliff and Ord Panel Data Model with Random Effects," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(3), pages 370-388, September.
  77. Acedański, Jan & Karkowska, Renata, 2022. "Instability spillovers in the banking sector: A spatial econometrics approach," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
  78. Xiaodong Gong & Jiti Gao & Xuan Liang & Xin Meng, 2018. "Inter-regional spillover and intra-regional agglomeration effects among local labour markets in China," Monash Econometrics and Business Statistics Working Papers 20/18, Monash University, Department of Econometrics and Business Statistics.
  79. Jin Seo Cho & Matthew Greenwood‐Nimmo & Yongcheol Shin, 2023. "Recent developments of the autoregressive distributed lag modelling framework," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 7-32, February.
  80. Li, Liyao & Yang, Zhenlin, 2021. "Spatial dynamic panel data models with correlated random effects," Journal of Econometrics, Elsevier, vol. 221(2), pages 424-454.
  81. Ricardo Carvalho De Andrade Lima & Raul Da Mota Silveira Neto, 2016. "Physical and Human Capital and Brazilian Regional Growth: A Spatial Econometric Approach for the Period 1970–2010," Regional Studies, Taylor & Francis Journals, vol. 50(10), pages 1688-1701, October.
  82. Burridge, Peter & Iacone, Fabrizio & Lazarová, Štěpána, 2015. "Spatial effects in a common trend model of US city-level CPI," Regional Science and Urban Economics, Elsevier, vol. 54(C), pages 87-98.
  83. Costa de Arguibel Facundo & Sánchez Vargas Isabela & González Fernando Antonio Ignacio & Dip Juan Antonio, 2023. "Convergencia entre distritos argentinos: Un enfoque de econometría espacial," Asociación Argentina de Economía Política: Working Papers 4638, Asociación Argentina de Economía Política.
  84. Ma, Yingying & Guo, Shaojun & Wang, Hansheng, 2023. "Sparse spatio-temporal autoregressions by profiling and bagging," Journal of Econometrics, Elsevier, vol. 232(1), pages 132-147.
  85. Kwok, Hon Ho, 2019. "Identification and estimation of linear social interaction models," Journal of Econometrics, Elsevier, vol. 210(2), pages 434-458.
  86. Clemens Possnig & Andreea Rotu{a}rescu & Kyungchul Song, 2022. "Estimating Dynamic Spillover Effects along Multiple Networks in a Linear Panel Model," Papers 2211.08995, arXiv.org.
  87. Andrew Ojede & Bebonchu Atems & Steven Yamarik, 2018. "The Direct and Indirect (Spillover) Effects of Productive Government Spending on State Economic Growth," Growth and Change, Wiley Blackwell, vol. 49(1), pages 122-141, March.
  88. Attila Varga & Tamás Sebestyén, 2017. "Does EU Framework Program Participation Affect Regional Innovation? The Differentiating Role of Economic Development," International Regional Science Review, , vol. 40(4), pages 405-439, July.
  89. Nicolas Debarsy & Jean-Yves Gnabo & Malik Kerkour, 2016. "Sovereign Wealth Funds’ cross-border investments: assessing the role of country-level drivers and spatial competition," Working Papers hal-01251243, HAL.
  90. Ciccarelli, Carlo & Elhorst, J.Paul, 2018. "A dynamic spatial econometric diffusion model with common factors: The rise and spread of cigarette consumption in Italy," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 131-142.
  91. Anna Gloria Billé & Marco Rogna, 2022. "The effect of weather conditions on fertilizer applications: A spatial dynamic panel data analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 3-36, January.
  92. Achim Ahrens & Arnab Bhattacharjee, 2015. "Two-Step Lasso Estimation of the Spatial Weights Matrix," Econometrics, MDPI, vol. 3(1), pages 1-28, March.
  93. Semerikova, Elena, 2014. "Unemployment in East and West Germany: Spatial panel data analysis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 35(3), pages 107-132.
  94. Yu, Dalei & Bai, Peng & Ding, Chang, 2015. "Adjusted quasi-maximum likelihood estimator for mixed regressive, spatial autoregressive model and its small sample bias," Computational Statistics & Data Analysis, Elsevier, vol. 87(C), pages 116-135.
  95. 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.
  96. Wang, Yongpei & Yan, Qing & Yang, Jieru & Komonpipat, Supak & Zhang, Qian, 2024. "Can inter-provincial transmission reduce regional carbon emissions? Evidence from China," Energy Policy, Elsevier, vol. 184(C).
  97. Kadiyali, Vrinda & Kosová, Renáta, 2013. "Inter-industry employment spillovers from tourism inflows," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 272-281.
  98. Fingleton Bernard & Gardiner Ben & Martin Ron & Barbieri Luca, 2023. "The impact of brexit on regional productivity in the UK," ZFW – Advances in Economic Geography, De Gruyter, vol. 67(2-3), pages 142-160, August.
  99. Halleck Vega, Solmaria & Elhorst, J. Paul, 2016. "A regional unemployment model simultaneously accounting for serial dynamics, spatial dependence and common factors," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 85-95.
  100. Varga, Attila & Sebestyén, Tamás, 2015. "Innováció Kelet-Közép-Európában. Az EU keretprogramjaiban való részvétel szerepe az innovációs teljesítményben [Innovation in Central East Europe. The role played in innovation performance by parti," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 881-908.
  101. Abbey Steele, 2018. "IDP resettlement and collective targeting during civil wars," Journal of Peace Research, Peace Research Institute Oslo, vol. 55(6), pages 810-824, November.
  102. James LeSage, 2015. "Software for Bayesian cross section and panel spatial model comparison," Journal of Geographical Systems, Springer, vol. 17(4), pages 297-310, October.
  103. Gong, Xiaodong & Gao, Jiti & Liang, Xuan, 2019. "Inter-City Spillover and Intra-City Agglomeration Effects among Local Labour Markets in China," IZA Discussion Papers 12329, Institute of Labor Economics (IZA).
  104. Wolter, James Lewis, 2016. "Kernel estimation of hazard functions when observations have dependent and common covariates," Journal of Econometrics, Elsevier, vol. 193(1), pages 1-16.
  105. Brady, Ryan R., 2014. "The spatial diffusion of regional housing prices across U.S. states," Regional Science and Urban Economics, Elsevier, vol. 46(C), pages 150-166.
  106. Munteanu Irina-Denisa, 2023. "Analysis of the Educational System - An Econometric and Managerial Perspective," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 2172-2183, July.
  107. 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.
  108. Kubis, Alexander & Schneider, Lutz, 2012. "Human capital mobility and convergence : a spatial dynamic panel model of the German regions," IAB-Discussion Paper 201223, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  109. Katharina Pijnenburg, 2017. "The spatial dimension of US house prices," Urban Studies, Urban Studies Journal Limited, vol. 54(2), pages 466-481, February.
  110. Qu, Xi & Lee, Lung-fei & Yu, Jihai, 2017. "QML estimation of spatial dynamic panel data models with endogenous time varying spatial weights matrices," Journal of Econometrics, Elsevier, vol. 197(2), pages 173-201.
  111. Dou, Baojun & Parrella, Maria Lucia & Yao, Qiwei, 2016. "Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients," Journal of Econometrics, Elsevier, vol. 194(2), pages 369-382.
  112. Sun, Yiguo & Malikov, Emir, 2018. "Estimation and inference in functional-coefficient spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 203(2), pages 359-378.
  113. Burnett, J. Wesley & Bergstrom, John C. & Dorfman, Jeffrey H., 2013. "A spatial panel data approach to estimating U.S. state-level energy emissions," Energy Economics, Elsevier, vol. 40(C), pages 396-404.
  114. Katharina Pijnenburg, 2014. "The Spatial Dimension of US House Price Developments," ERSA conference papers ersa14p127, European Regional Science Association.
  115. Solmaria Halleck Vega & J. Paul Elhorst, 2017. "Regional labour force participation across the European Union: a time–space recursive modelling approach with endogenous regressors," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(2-3), pages 138-160, July.
  116. Maza, Adolfo & Hierro, María & Villaverde, José, 2012. "Income distribution dynamics across European regions: Re-examining the role of space," Economic Modelling, Elsevier, vol. 29(6), pages 2632-2640.
  117. Dechun Liu & Xinye Zheng & Yihua Yu, 2022. "Public Debt Competition in Local China: Evidence and Mechanism of Spatial Interactions," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S2), pages 91-105, November.
  118. J. Paul Elhorst, 2014. "Matlab Software for Spatial Panels," International Regional Science Review, , vol. 37(3), pages 389-405, July.
  119. B. Fingleton & C. Ertur, 2012. "Editorial," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(1), pages 1-8, March.
  120. Yang, Zhenlin & Yu, Jihai & Liu, Shew Fan, 2016. "Bias correction and refined inferences for fixed effects spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 52-72.
  121. Philipp Otto & Wolfgang Schmid, 2018. "Spatiotemporal analysis of German real-estate prices," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 41-72, January.
  122. Chakir, Raja & Le Gallo, Julie, 2013. "Predicting land use allocation in France: A spatial panel data analysis," Ecological Economics, Elsevier, vol. 92(C), pages 114-125.
  123. Marynia Kolak & Luc Anselin, 2020. "A Spatial Perspective on the Econometrics of Program Evaluation," International Regional Science Review, , vol. 43(1-2), pages 128-153, January.
  124. Pei Liu & Jiajun Xu & Xiaojun Yang, 2023. "Spatial Difference and Convergence of Ecological Common Prosperity: Evidence from the Yellow River Basin in China," IJERPH, MDPI, vol. 20(4), pages 1-22, February.
  125. Elhorst, J. Paul & Madre, Jean-Loup & Pirotte, Alain, 2020. "Car traffic, habit persistence, cross-sectional dependence, and spatial heterogeneity: New insights using French departmental data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 614-632.
  126. Michael Pfaffermayr, 2013. "The Cliff and Ord Test for Spatial Correlation of the Disturbances in Unbalanced Panel Models," International Regional Science Review, , vol. 36(4), pages 492-506, October.
  127. Celbis M.G. & Crombrugghe D.P.I. de, 2014. "Can internet infrastructure help reduce regional disparities? : evidence from Turkey," MERIT Working Papers 2014-078, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  128. Yan, Bin & Wang, Feng & Chen, Tian & Liu, Siyu & Bai, Xiaoxuan, 2023. "Digital finance, environmental regulation and emission reduction in manufacturing industry: New evidence incorporating dynamic spatial-temporal correlation and competition," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 750-763.
  129. Yang, Kai & Lee, Lung-fei, 2021. "Estimation of dynamic panel spatial vector autoregression: Stability and spatial multivariate cointegration," Journal of Econometrics, Elsevier, vol. 221(2), pages 337-367.
  130. Wang, Xuliang & Xu, Lulu & Ye, Qin & He, Shi & Liu, Yi, 2022. "How does services agglomeration affect the energy efficiency of the service sector? Evidence from China," Energy Economics, Elsevier, vol. 112(C).
  131. Paula Puškárová, 2015. "Analýza vplyvu ľudského kapitálu na celkovú produktivitu faktorov v regiónoch EÚ s využitím priestorového Durbinovho modelu [Analysis of the Human Capital Impacts on the Total Factor Productivity i," Politická ekonomie, Prague University of Economics and Business, vol. 2015(5), pages 658-676.
  132. Eduardo A. Souza-Rodrigues, 2016. "Nonparametric Regression with Common Shocks," Econometrics, MDPI, vol. 4(3), pages 1-17, September.
  133. Han, Xiaoyi & Hsieh, Chih-Sheng & Lee, Lung-fei, 2017. "Estimation and model selection of higher-order spatial autoregressive model: An efficient Bayesian approach," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 97-120.
  134. Shi, Wei & Lee, Lung-fei, 2017. "Spatial dynamic panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 197(2), pages 323-347.
  135. Hiller, Norbert & Lerbs, Oliver W., 2016. "Aging and urban house prices," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 276-291.
  136. Dou, Baojun & Parrella, Maria Lucia & Yao, Qiwei, 2016. "Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients," LSE Research Online Documents on Economics 67151, London School of Economics and Political Science, LSE Library.
  137. Michaela Fuchs, 2016. "Unemployment decline in East Germany: the role of demography," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 36(2), pages 145-168, October.
  138. Xu, Xingbai & Lee, Lung-fei, 2015. "A spatial autoregressive model with a nonlinear transformation of the dependent variable," Journal of Econometrics, Elsevier, vol. 186(1), pages 1-18.
  139. Ryan R. Brady, 2021. "Direct Forecasting for Applied Regional Analysis," Departmental Working Papers 67, United States Naval Academy Department of Economics.
  140. Patacchini, Eleonora & Hsieh, Chih-Sheng & Lin, Xu, 2019. "Social Interaction Methods," CEPR Discussion Papers 14141, C.E.P.R. Discussion Papers.
  141. Fuchs, Michaela & Weyh, Antje, 2014. "Demography and unemployment in East Germany : how close are the ties?," IAB-Discussion Paper 201426, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  142. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2012. "Estimation for spatial dynamic panel data with fixed effects: The case of spatial cointegration," Journal of Econometrics, Elsevier, vol. 167(1), pages 16-37.
  143. Bernard Fingleton, 2023. "Estimating dynamic spatial panel data models with endogenous regressors using synthetic instruments," Journal of Geographical Systems, Springer, vol. 25(1), pages 121-152, January.
  144. Solmaria Halleck Vega & J. Paul Elhorst, 2015. "The Slx Model," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 339-363, June.
  145. Alice Barreca, 2022. "Architectural Quality and the Housing Market: Values of the Late Twentieth Century Built Heritage," Sustainability, MDPI, vol. 14(5), pages 1-24, February.
  146. Moscone, Francesco & Tosetti, Elisa & Canepa, Alessandra, 2014. "Real estate market and financial stability in US metropolitan areas: A dynamic model with spatial effects," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 129-146.
  147. Magnus Söderberg & Makoto Tanaka, 2012. "Spatial price homogeneity as a mechanism to reduce the threat of regulatory intervention in locally monopolistic sectors," Working Papers hal-00659458, HAL.
  148. Cuong Nguyen & Ilan Noy, 2018. "Measuring the Impact of Insurance on Urban Recovery with Light: The 2010-2011 New Zealand Earthquakes," CESifo Working Paper Series 7031, CESifo.
  149. Anna Gloria Billé & Massimiliano Caporin, 2022. "Impact of COVID-19 on financial returns: a spatial dynamic panel data model with random effects," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-21, December.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.