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Cross-section Regression with Common Shocks

Citations

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Cited by:

  1. Rustam Ibragimov & Johan Walden, 2011. "Value at risk and efficiency under dependence and heavy-tailedness: models with common shocks," Annals of Finance, Springer, vol. 7(3), pages 285-318, August.
  2. Paulo M.M. Rodrigues & Matei Demetrescu, 2022. "Cross-Sectional Error Dependence in Panel Quantile Regressions," Working Papers w202213, Banco de Portugal, Economics and Research Department.
  3. Demetrescu, Matei & Hosseinkouchack, Mehdi & Rodrigues, Paulo M. M., 2023. "Tests of no cross-sectional error dependence in panel quantile regressions," Ruhr Economic Papers 1041, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  4. Lu, Xun & Su, Liangjun, 2016. "Shrinkage estimation of dynamic panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 190(1), pages 148-175.
  5. Byrne, Joseph P. & Fiess, Norbert & MacDonald, Ronald, 2011. "The global dimension to fiscal sustainability," Journal of Macroeconomics, Elsevier, vol. 33(2), pages 137-150, June.
  6. Eberhardt, Markus & Presbitero, Andrea F., 2015. "Public debt and growth: Heterogeneity and non-linearity," Journal of International Economics, Elsevier, vol. 97(1), pages 45-58.
  7. G. Forchini & Bin Jiang & Bin Peng, 2015. "Common Shocks in panels with Endogenous Regressors," Monash Econometrics and Business Statistics Working Papers 8/15, Monash University, Department of Econometrics and Business Statistics.
  8. Chihwa Kao & Lorenzo Trapani & Giovanni Urga, 2012. "Asymptotics for Panel Models with Common Shocks," Econometric Reviews, Taylor & Francis Journals, vol. 31(4), pages 390-439.
  9. Harold D. Chiang & Kengo Kato & Yuya Sasaki, 2023. "Inference for High-Dimensional Exchangeable Arrays," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 118(543), pages 1595-1605, July.
  10. Qingyan Shang & Lung-fei Lee, 2011. "Two-Step Estimation of Endogenous and Exogenous Group Effects," Econometric Reviews, Taylor & Francis Journals, vol. 30(2), pages 173-207.
  11. Conley, Timothy G. & Topa, Giorgio, 2007. "Estimating dynamic local interactions models," Journal of Econometrics, Elsevier, vol. 140(1), pages 282-303, September.
  12. Agnolucci, Paolo & Arvanitopoulos, Theodoros, 2019. "Industrial characteristics and air emissions: Long-term determinants in the UK manufacturing sector," Energy Economics, Elsevier, vol. 78(C), pages 546-566.
  13. Michael Pollmann, 2020. "Causal Inference for Spatial Treatments," Papers 2011.00373, arXiv.org, revised Jan 2023.
  14. Hidalgo, Javier & Schafgans, Marcia, 2017. "Inference and testing breaks in large dynamic panels with strong cross sectional dependence," Journal of Econometrics, Elsevier, vol. 196(2), pages 259-274.
  15. Gianni Carvelli, 2023. "The long-run effects of government expenditure on private investments: a panel CS-ARDL approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(3), pages 620-645, September.
  16. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2020. "Model uncertainty, nonlinearities and out-of-sample comparison: evidence from international technology diffusion," Working Papers hal-02790523, HAL.
  17. Carrion-i-Silvestre Josep Lluis & Surdeanu Laura, 2011. "Panel Cointegration Rank Testing with Cross-Section Dependence," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(4), pages 1-43, September.
  18. Hjalmarsson, Erik, 2005. "Predictive regressions with panel data," Working Papers in Economics 160, University of Gothenburg, Department of Economics.
  19. Eberhardt, Markus & Vollrath, Dietrich, 2018. "The Effect of Agricultural Technology on the Speed of Development," World Development, Elsevier, vol. 109(C), pages 483-496.
  20. Su, Liangjun & Jin, Sainan & Zhang, Yonghui, 2015. "Specification test for panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 186(1), pages 222-244.
  21. Michael A Stemmer, 2017. "Revisiting Finance and Growth in Transition Economies - A Panel Causality Approach," Post-Print halshs-01524462, HAL.
  22. 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.
  23. Jungyoon Lee & Peter M Robinson, 2013. "Series Estimation under Cross-sectional Dependence," STICERD - Econometrics Paper Series 570, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  24. Matias D. Cattaneo & Richard K. Crump & Weining Wang, 2022. "Beta-Sorted Portfolios," Papers 2208.10974, arXiv.org, revised Nov 2024.
  25. Feng, Guohua & Gao, Jiti & Peng, Bin & Zhang, Xiaohui, 2017. "A varying-coefficient panel data model with fixed effects: Theory and an application to US commercial banks," Journal of Econometrics, Elsevier, vol. 196(1), pages 68-82.
  26. Wang, Hongfei & Liu, Binghui & Feng, Long & Ma, Yanyuan, 2024. "Rank-based max-sum tests for mutual independence of high-dimensional random vectors," Journal of Econometrics, Elsevier, vol. 238(1).
  27. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
  28. Kurt Mitman & Iourii Manovskii & Fatih Karahan & Marcus Hagedorn, 2013. "Unemployment Benefits and Unemployment in the Great Recession: The Role of Macro Effects," 2013 Meeting Papers 1260, Society for Economic Dynamics.
  29. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
  30. Pesaran, M. Hashem & Tosetti, Elisa, 2011. "Large panels with common factors and spatial correlation," Journal of Econometrics, Elsevier, vol. 161(2), pages 182-202, April.
  31. Grigoli, Francesco & Mansilla, Mario & Saldías, Martín, 2018. "Macro-financial linkages and heterogeneous non-performing loans projections: An application to Ecuador," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 130-141.
  32. Al Mamun, Md & Sohag, Kazi & Hassan, M. Kabir, 2017. "Governance, resources and growth," Economic Modelling, Elsevier, vol. 63(C), pages 238-261.
  33. Anatolyev, Stanislav & Mikusheva, Anna, 2021. "Limit Theorems For Factor Models," Econometric Theory, Cambridge University Press, vol. 37(5), pages 1034-1074, October.
  34. Badi H. Baltagi & Chihwa Kao & Bin Peng, 2016. "Testing Cross-Sectional Correlation in Large Panel Data Models with Serial Correlation," Econometrics, MDPI, vol. 4(4), pages 1-24, November.
  35. J. Hidalgo & M. Schafgans, 2020. "Inference without smoothing for large panels with cross-sectional and temporal dependence," Papers 2006.14409, arXiv.org.
  36. Gagliardini, Patrick & Gourieroux, Christian, 2014. "Efficiency In Large Dynamic Panel Models With Common Factors," Econometric Theory, Cambridge University Press, vol. 30(5), pages 961-1020, October.
  37. Ruge-Leiva, Diego-Ivan, 2014. "International R&D Spillovers and Unobserved Common Shocks," MPRA Paper 56718, University Library of Munich, Germany.
  38. Elhorst, J. Paul & Gross, Marco & Tereanu, Eugen, 2018. "Spillovers in space and time: where spatial econometrics and Global VAR models meet," Working Paper Series 2134, European Central Bank.
  39. Cheong, Siew Ann & Fornia, Robert Paulo & Lee, Gladys Hui Ting & Kok, Jun Liang & Yim, Woei Shyr & Xu, Danny Yuan & Zhang, Yiting, 2011. "The Japanese economy in crises: A time series segmentation study," Economics Discussion Papers 2011-24, Kiel Institute for the World Economy (IfW Kiel).
  40. Ercan Yasar & Güray Akalin & Sinan Erdogan & Samuel Asumadu Sarkodie, 2022. "Trading Kuznets curve: empirical analysis for China," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(3), pages 741-768, August.
  41. Javier Hidalgo & Marcia M Schafgans, 2015. "Inference and Testing Breaks in Large Dynamic Panels with Strong Cross Sectional Dependence," STICERD - Econometrics Paper Series /2015/583, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  42. Patrick Gagliardini & Elisa Ossola & O. Scaillet, 2019. "Estimation of Large Dimensional Conditional Factor Models in Finance," Swiss Finance Institute Research Paper Series 19-46, Swiss Finance Institute.
  43. Sun, Yixiao X, 2005. "Estimation and Inference in Panel Structure Models," University of California at San Diego, Economics Working Paper Series qt5tf1231k, Department of Economics, UC San Diego.
  44. Serguey Khovansky & Zhylyevskyy, Oleksandr, 2012. "Estimating Idiosyncratic Volatility and Its Effects on a Cross-Section of Returns," Staff General Research Papers Archive 34990, Iowa State University, Department of Economics.
  45. Andreas Blöchlinger & Markus Leippold, 2011. "A New Goodness-of-Fit Test for Event Forecasting and Its Application to Credit Defaults," Management Science, INFORMS, vol. 57(3), pages 487-505, March.
  46. Lena Boneva (Körber) & Oliver Linton, 2017. "A discrete choice model for large heterogeneous panels with interactive fixed effects with an application to the determinants of corporate bond issuance," CeMMAP working papers CWP02/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  47. Patrick Gagliardini & Elisa Ossola & Olivier Scaillet, 2016. "Time‐Varying Risk Premium in Large Cross‐Sectional Equity Data Sets," Econometrica, Econometric Society, vol. 84, pages 985-1046, May.
  48. Anatolyev, Stanislav & Mikusheva, Anna, 2022. "Factor models with many assets: Strong factors, weak factors, and the two-pass procedure," Journal of Econometrics, Elsevier, vol. 229(1), pages 103-126.
  49. Mao, Guangyu & Shen, Yan, 2019. "Bubbles or fundamentals? Modeling provincial house prices in China allowing for cross-sectional dependence," China Economic Review, Elsevier, vol. 53(C), pages 53-64.
  50. DO ANGO, Simplicio & AMBA OYON, Claude Marius, 2016. "Health expenditure and Real disposable Income in the ECCAS: A Causal Study using spatial panel approach," MPRA Paper 79684, University Library of Munich, Germany.
  51. Kong, Jianning & Phillips, Peter C.B. & Sul, Donggyu, 2019. "Weak σ-convergence: Theory and applications," Journal of Econometrics, Elsevier, vol. 209(2), pages 185-207.
  52. Andersen, Torben G. & Fusari, Nicola & Todorov, Viktor & Varneskov, Rasmus T., 2019. "Unified inference for nonlinear factor models from panels with fixed and large time span," Journal of Econometrics, Elsevier, vol. 212(1), pages 4-25.
  53. Rustam Ibragimov & Johan Walden, 2010. "Optimal Bundling Strategies Under Heavy-Tailed Valuations," Management Science, INFORMS, vol. 56(11), pages 1963-1976, November.
  54. Giovanni Forchini & Bin Jiang & Bin Peng, 2018. "TSLS and LIML Estimators in Panels with Unobserved Shocks," Econometrics, MDPI, vol. 6(2), pages 1-12, April.
  55. Arnab Bhattacharjee & Sean Holly, 2011. "Structural interactions in spatial panels," Empirical Economics, Springer, vol. 40(1), pages 69-94, February.
  56. Rustam Ibragimov, 2005. "Portfolio Diversification and Value At Risk Under Thick-Tailedness," Yale School of Management Working Papers amz2386, Yale School of Management, revised 01 Aug 2005.
  57. J. Paul Elhorst & Marco Gross & Eugen Tereanu, 2021. "Cross‐Sectional Dependence And Spillovers In Space And Time: Where Spatial Econometrics And Global Var Models Meet," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 192-226, February.
  58. Debopam Bhattacharya & Pascaline Dupas & Shin Kanaya, 2024. "Demand and Welfare Analysis in Discrete Choice Models with Social Interactions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(2), pages 748-784.
  59. Westerlund, Joakim, 2019. "Testing additive versus interactive effects in fixed-T panels," Economics Letters, Elsevier, vol. 174(C), pages 5-8.
  60. Dong, Chaohua & Gao, Jiti & Peng, Bin, 2015. "Semiparametric single-index panel data models with cross-sectional dependence," Journal of Econometrics, Elsevier, vol. 188(1), pages 301-312.
  61. Luisa Gagliardi, 2014. "Employment and Technological Change: On the Geography of Labour Market Adjustments," SERC Discussion Papers 0165, Centre for Economic Performance, LSE.
  62. Torben G. Andersen & Nicola Fusari & Viktor Todorov, 2015. "Parametric Inference and Dynamic State Recovery From Option Panels," Econometrica, Econometric Society, vol. 83(3), pages 1081-1145, May.
  63. Arnab Bhattacharjee & Eduardo Castro & João Marques, 2012. "Spatial Interactions in Hedonic Pricing Models: The Urban Housing Market of Aveiro, Portugal," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(1), pages 133-167, March.
  64. 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.
  65. Ohler, Adrienne & Mohammadi, Hassan & Loomis, David G., 2020. "Electricity restructuring and the relationship between fuel costs and electricity prices for industrial and residential customers," Energy Policy, Elsevier, vol. 142(C).
  66. Badi H. Baltagi & Qu Feng & Chihwa Kao, 2009. "Testing for Sphericity in a Fixed Effects Panel Data Model (Revised July 2009)," Center for Policy Research Working Papers 112, Center for Policy Research, Maxwell School, Syracuse University.
  67. Georg Keilbar & Juan M. Rodriguez-Poo & Alexandra Soberon & Weining Wang, 2022. "A semiparametric approach for interactive fixed effects panel data models," Papers 2201.11482, arXiv.org, revised Mar 2023.
  68. Ahn, Seung C. & Lee, Young H. & Schmidt, Peter, 2013. "Panel data models with multiple time-varying individual effects," Journal of Econometrics, Elsevier, vol. 174(1), pages 1-14.
  69. Hjalmarsson, Erik, 2010. "Predicting Global Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(1), pages 49-80, February.
  70. Gagliardini, Patrick & Ossola, Elisa & Scaillet, Olivier, 2019. "A diagnostic criterion for approximate factor structure," Journal of Econometrics, Elsevier, vol. 212(2), pages 503-521.
  71. Christian Hawkesby & Ian W Marsh & Ibrahim Stevens, 2005. "Comovements in the prices of securities issued by large complex financial institutions," Bank of England working papers 256, Bank of England.
  72. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2016. "Estimation of heterogeneous panels with structural breaks," Journal of Econometrics, Elsevier, vol. 191(1), pages 176-195.
  73. Felipa de Mello-Sampayo & Sofia de Sousa-Vale, 2014. "Financing Health Care Expenditure in the OECD Countries: Evidence from a Heterogeneous, Cross-Sectional Dependent Panel," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(2), pages 207-225.
  74. Hidalgo, Javier & Schafgans, Marcia, 2021. "Inference without smoothing for large panels with cross-sectional and temporal dependence," LSE Research Online Documents on Economics 107426, London School of Economics and Political Science, LSE Library.
  75. Mohammad Imdadul Haque, 2021. "Oil price shocks and energy consumption in GCC countries: a system-GMM approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 9336-9351, June.
  76. Tong, Tingting & Yu, T. Edward, 2018. "Transportation and economic growth in China: A heterogeneous panel cointegration and causality analysis," Journal of Transport Geography, Elsevier, vol. 73(C), pages 120-130.
  77. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2021. "Interactive R&D Spillovers: an estimation strategy based on forecasting-driven model selection," Working Papers hal-03224910, HAL.
  78. Guido M. Kuersteiner & Ingmar R. Prucha, 2020. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," Econometrica, Econometric Society, vol. 88(5), pages 2109-2146, September.
  79. You, Yu & Liu, Fangzheng & Yang, Da, 2023. "Macroprudential policy, capital flow management and monetary policy independence," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 116-132.
  80. Nicolas Schneider & Avik Sinha, 2023. "Better clean or efficient? Panel regressions," Climatic Change, Springer, vol. 176(8), pages 1-24, August.
  81. Badi Baltagi & Chihwa Kao & Sanggon Na, 2013. "Testing for cross-sectional dependence in a panel factor model using the wild bootstrap $$F$$ test," Statistical Papers, Springer, vol. 54(4), pages 1067-1094, November.
  82. Kojevnikov, Denis & Song, Kyungchul, 2023. "Econometric inference on a large Bayesian game with heterogeneous beliefs," Journal of Econometrics, Elsevier, vol. 237(1).
  83. Mert Akyuz & Ghislain Nono Gueye & Cagin Karul, 2022. "Long-run dynamics between trade liberalization and income inequality in the European Union: a second generation approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(3), pages 769-792, August.
  84. Declan French, 2012. "Causation between health and income: a need to panic," Empirical Economics, Springer, vol. 42(2), pages 583-601, April.
  85. Evan Totty, 2017. "The Effect Of Minimum Wages On Employment: A Factor Model Approach," Economic Inquiry, Western Economic Association International, vol. 55(4), pages 1712-1737, October.
  86. Baltagi, Badi H. & Moscone, Francesco, 2010. "Health care expenditure and income in the OECD reconsidered: Evidence from panel data," Economic Modelling, Elsevier, vol. 27(4), pages 804-811, July.
  87. Felipa de Mello-Sampayo & Sofia de Sousa-Vale, 2014. "Financing Health Care Expenditure in the OECD Countries: Evidence from a Heterogeneous, Cross-Sectional Dependent Panel," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(2), pages 207-225, March.
  88. Liang Chen & Minyuan Zhang, 2023. "Common Correlated Effects Estimation of Nonlinear Panel Data Models," Papers 2304.13199, arXiv.org.
  89. Lee, Jungyoon & Robinson, Peter M., 2013. "Series estimation under cross-sectional dependence," LSE Research Online Documents on Economics 58188, London School of Economics and Political Science, LSE Library.
  90. Osarumwense Osabuohien-Irabor & Igor Mikhailovich Drapkin, 2022. "The Impact of Technological Innovation on Energy Consumption in OECD Economies: the role of Outward Foreign Direct Investment and International Trade Openness," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 317-333, July.
  91. Ibragimov, Rustam & Walden, Johan, 2007. "The limits of diversification when losses may be large," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2551-2569, August.
  92. Hawkesby, Christian & Marsh, Ian W. & Stevens, Ibrahim, 2007. "Comovements in the equity prices of large complex financial institutions," Journal of Financial Stability, Elsevier, vol. 2(4), pages 391-411, March.
  93. Contessi, Silvio & De Pace, Pierangelo, 2009. "Do European capital flows comove?," The North American Journal of Economics and Finance, Elsevier, vol. 20(2), pages 145-161, August.
  94. Serguey Khovansky, 2018. "Cross-Sectional Data with a Common Shock and Generalized Method of Moments," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 5(5), pages 151-152, March.
  95. Cheng, Yuanyuan & Yao, Xin, 2021. "Carbon intensity reduction assessment of renewable energy technology innovation in China: A panel data model with cross-section dependence and slope heterogeneity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
  96. Vanessa Boese-Schlosser & Markus Eberhardt, 2023. "How does democracy cause growth?," Discussion Papers 2023-13, Nottingham Interdisciplinary Centre for Economic and Political Research (NICEP).
  97. Hidalgo, Javier & Schafgans, Marcia, 2017. "Inference and testing breaks in large dynamic panels with strong cross sectional dependence," LSE Research Online Documents on Economics 68839, London School of Economics and Political Science, LSE Library.
  98. Ibragimov, Rustam & Jaffee, Dwight & Walden, Johan, 2011. "Diversification disasters," Journal of Financial Economics, Elsevier, vol. 99(2), pages 333-348, February.
  99. 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.
  100. Yunlong Gong & Peter Boelhouwer & Jan de Haan, 2014. "Spatial Dependence in House Prices: Evidence from China's Interurban Housing Market," ERSA conference papers ersa14p448, European Regional Science Association.
  101. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
  102. Eberhardt, Markus, 2022. "Democracy, growth, heterogeneity, and robustness," European Economic Review, Elsevier, vol. 147(C).
  103. MacKinnon, James G., 2023. "Using large samples in econometrics," Journal of Econometrics, Elsevier, vol. 235(2), pages 922-926.
  104. Francesco Moscone & Elisa Tosetti, 2009. "A Review And Comparison Of Tests Of Cross‐Section Independence In Panels," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 528-561, July.
  105. Rustam Ibragimov, 2005. "Portfolio Diversification and Value At Risk Under Thick-Tailedness," Yale School of Management Working Papers amz2386, Yale School of Management, revised 01 Aug 2005.
  106. Trapani, Lorenzo, 2012. "On the asymptotic t-test for large nonstationary panel models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3286-3306.
  107. Chen, Mingli, 2016. "Estimation of Nonlinear Panel Models with Multiple Unobserved Effects," Economic Research Papers 269326, University of Warwick - Department of Economics.
  108. Moscone, F. & Tosetti, E., 2010. "Testing for error cross section independence with an application to US health expenditure," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 283-291, September.
  109. Marcus Hagedorn & Iourii Manovskii & Kurt Mitman, 2015. "The Impact of Unemployment Benefit Extensions on Employment: The 2014 Employment Miracle?," NBER Working Papers 20884, National Bureau of Economic Research, Inc.
  110. Gioldasis, Georgios & Musolesi, Antonio & Simioni, Michel, 2023. "Interactive R&D spillovers: An estimation strategy based on forecasting-driven model selection," International Journal of Forecasting, Elsevier, vol. 39(1), pages 144-169.
  111. Kiendrebeogo, Youssouf, 2023. "Competition, reallocation, and growth: Theory and evidence from Africa," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 301-313.
  112. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg, 2020. "Characteristic-Sorted Portfolios: Estimation and Inference," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 531-551, July.
  113. Hamit-Haggar, Mahamat, 2016. "Clean energy-growth nexus in sub-Saharan Africa: Evidence from cross-sectionally dependent heterogeneous panel with structural breaks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1237-1244.
  114. Asane-Otoo, Emmanuel, 2015. "Carbon footprint and emission determinants in Africa," Energy, Elsevier, vol. 82(C), pages 426-435.
  115. Josep Lluís Carrion-i-Silvestre & Laura Surdeanu, 2016. "Productivity, Infrastructure and Human Capital in the Spanish Regions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(4), pages 365-391, October.
  116. Hamit-Haggar, Mahamat, 2012. "Greenhouse gas emissions, energy consumption and economic growth: A panel cointegration analysis from Canadian industrial sector perspective," Energy Economics, Elsevier, vol. 34(1), pages 358-364.
  117. Bai, Jushan & Kao, Chihwa & Ng, Serena, 2009. "Panel cointegration with global stochastic trends," Journal of Econometrics, Elsevier, vol. 149(1), pages 82-99, April.
  118. Alexander Chudik & M. Hashem Pesaran, 2013. "Large Panel Data Models with Cross-Sectional Dependence: A Survey," CESifo Working Paper Series 4371, CESifo.
  119. 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.
  120. Kaddoura, Yousef & Westerlund, Joakim, 2021. "Estimation of Panel Data Models with Interactive Effects and Multiple Structural Breaks When T Is Fixed," Working Papers 2021:15, Lund University, Department of Economics.
  121. Lee, Jungyoon & Robinson, Peter M., 2016. "Series estimation under cross-sectional dependence," Journal of Econometrics, Elsevier, vol. 190(1), pages 1-17.
  122. Gueye, Ghislain Nono, 2021. "Pitfalls in the cointegration analysis of housing prices with the macroeconomy: Evidence from OECD countries," Journal of Housing Economics, Elsevier, vol. 51(C).
  123. Erti Jiaduo & Md. Golam Kibria & Nazhat Nury Aspy & Ehsan Ullah & Md. Emran Hossain, 2023. "The Impact of Agricultural Employment and Technological Innovation on the Environment: Evidence from BRICS Nations Considering a Novel Environmental Sustainability Indicator," Sustainability, MDPI, vol. 15(20), pages 1-21, October.
  124. Kalouptsidi, Myrto & Scott, Paul T. & Souza-Rodrigues, Eduardo, 2021. "Linear IV regression estimators for structural dynamic discrete choice models," Journal of Econometrics, Elsevier, vol. 222(1), pages 778-804.
  125. Ibragimov, Rustam & Walden, Johan, 2007. "The limits of diversification when losses may be large," Scholarly Articles 2624460, Harvard University Department of Economics.
  126. Hwang, Jungbin, 2021. "Simple and trustworthy cluster-robust GMM inference," Journal of Econometrics, Elsevier, vol. 222(2), pages 993-1023.
  127. Huang, Yongfu, 2014. "Drivers of rising global energy demand: The importance of spatial lag and error dependence," Energy, Elsevier, vol. 76(C), pages 254-263.
  128. repec:cep:stiecm:/2013/570 is not listed on IDEAS
  129. Robinson, P.M., 2011. "Asymptotic theory for nonparametric regression with spatial data," Journal of Econometrics, Elsevier, vol. 165(1), pages 5-19.
  130. Ye, Xiaoqing & Xu, Juan & Wu, Xiangjun, 2018. "Estimation of an unbalanced panel data Tobit model with interactive effects," Journal of choice modelling, Elsevier, vol. 28(C), pages 108-123.
  131. Marcus Hagedorn & Fatih Karahan & Iourii Manovskii & Kurt Mitman, 2013. "Unemployment Benefits and Unemployment in the Great Recession: The Role of Equilibrium Effects," Staff Reports 646, Federal Reserve Bank of New York.
  132. Balli, Faruk & de Bruin, Anne & Chowdhury, Md Iftekhar Hasan, 2019. "Spillovers and the determinants in Islamic equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
  133. Lena Boneva (Körber) & Oliver Linton, 2017. "A discrete choice model for large heterogeneous panels with interactive fixed effects with an application to the determinants of corporate bond issuance," CeMMAP working papers 02/17, Institute for Fiscal Studies.
  134. repec:asg:wpaper:1013 is not listed on IDEAS
  135. Kalouptsidi, Myrto & Scott, Paul T. & Souza-Rodrigues, Eduardo, 2018. "Linear IV Regression Estimators for Structural Dynamic Discrete Choice Models," CEPR Discussion Papers 13240, C.E.P.R. Discussion Papers.
  136. Elisabet Rodriguez Llorian & Janelle Mann, 2022. "Exploring the technology–healthcare expenditure nexus: a panel error correction approach," Empirical Economics, Springer, vol. 62(6), pages 3061-3086, June.
  137. Chaieb, Ines & Langlois, Hugues & Scaillet, Olivier, 2021. "Factors and risk premia in individual international stock returns," Journal of Financial Economics, Elsevier, vol. 141(2), pages 669-692.
  138. Giovanni Forchini & Bin Peng, 2016. "A Conditional Approach to Panel Data Models with Common Shocks," Econometrics, MDPI, vol. 4(1), pages 1-12, January.
  139. Sadorsky, Perry, 2014. "The effect of urbanization on CO2 emissions in emerging economies," Energy Economics, Elsevier, vol. 41(C), pages 147-153.
  140. Myrto Kalouptsidi & Paul T. Scott & Eduardo Souza-Rodrigues, 2018. "Linear IV Regression Estimators for Structural Dynamic Discrete Choice Models," NBER Working Papers 25134, National Bureau of Economic Research, Inc.
  141. Costantini, Mauro & Gutierrez, Luciano, 2013. "Capital mobility and global factor shocks," Economics Letters, Elsevier, vol. 120(3), pages 513-515.
  142. Bin Peng & Giovanni Forchini, 2014. "Consistent Estimation of Panel Data Models with a Multifactor Error Structure when the Cross Section Dimension is Large," Working Paper Series 20, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
  143. Juodis, Arturas & Sarafidis, Vasilis, 2020. "Online Supplement to An Incidental Parameters Free Inference Approach for Panels with Common Shocks," MPRA Paper 104908, University Library of Munich, Germany.
  144. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2021. "Interactive R&D Spillovers: An estimation strategy based on forecasting-driven model selection," SEEDS Working Papers 0621, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jun 2021.
  145. Hidalgo, Javier & Schafgans, Marcia M. A., 2017. "Inference without smoothing for large panels with cross-sectional and temporal dependence," LSE Research Online Documents on Economics 87748, London School of Economics and Political Science, LSE Library.
  146. Eduardo A. Souza-Rodrigues, 2016. "Nonparametric Regression with Common Shocks," Econometrics, MDPI, vol. 4(3), pages 1-17, September.
  147. Özbuğday, Fatih Cemil & Erbas, Bahar Celikkol, 2015. "How effective are energy efficiency and renewable energy in curbing CO2 emissions in the long run? A heterogeneous panel data analysis," Energy, Elsevier, vol. 82(C), pages 734-745.
  148. Saud, Shah & Haseeb, Abdul & Zafar, Muhammad Wasif & Li, Huiyun, 2023. "Articulating natural resource abundance, economic complexity, education and environmental sustainability in MENA countries: Evidence from advanced panel estimation," Resources Policy, Elsevier, vol. 80(C).
  149. Hadj, Tarek Bel & Ghodbane, Adel, 2021. "Do natural resources rents and institutional development matter for financial development under quantile regression approach?," Resources Policy, Elsevier, vol. 73(C).
  150. Mebratu Seyoum & Renshui Wu & Jihong Lin, 2014. "Foreign Direct Investment and Trade Openness in Sub-Saharan Economies: A Panel Data Granger Causality Analysis," South African Journal of Economics, Economic Society of South Africa, vol. 82(3), pages 402-421, September.
  151. Jungyoon Lee & Peter Robinson, 2016. "Series estimation under cross-sectional dependence," LSE Research Online Documents on Economics 63380, London School of Economics and Political Science, LSE Library.
  152. Rodolphe Desbordes & Markus Eberhardt, 2019. "Gravity," Discussion Papers 2019-02, University of Nottingham, GEP.
  153. Javier Hidalgo & Marcia M Schafgans, 2017. "Inference Without Smoothing for Large Panels with Cross- Sectional and Temporal Dependence," STICERD - Econometrics Paper Series 597, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  154. Kojevnikov, Denis & Song, Kyungchul, 2023. "Econometric inference on a large bayesian game with heterogeneous beliefs," Other publications TiSEM aca0631e-4f8a-45c7-af3a-4, Tilburg University, School of Economics and Management.
  155. De Vos, Ignace & Stauskas, Ovidijus, 2024. "Cross-section bootstrap for CCE regressions," Journal of Econometrics, Elsevier, vol. 240(1).
  156. Lili Guo & Shuang Zhao & Yuting Song & Mengqian Tang & Houjian Li, 2022. "Green Finance, Chemical Fertilizer Use and Carbon Emissions from Agricultural Production," Agriculture, MDPI, vol. 12(3), pages 1-18, February.
  157. Valizadeh, Pourya & Fischer, Bart L. & Bryant, Henry L., 2022. "Investigating the Differential Effects of the Economy on SNAP Participation: A Factor Model Approach," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322367, Agricultural and Applied Economics Association.
  158. Adolfo Maza & Paula Gutiérrez-Portilla, 2022. "Outward FDI and exports relation: A heterogeneous panel approach dealing with cross-sectional dependence," International Economics, CEPII research center, issue 170, pages 174-189.
  159. Khovansky, Serguey & Zhylyevskyy, Oleksandr, 2017. "On the consistency of a cross-sectional GMM estimator in the presence of an observable stochastic common data shock," Statistics & Probability Letters, Elsevier, vol. 129(C), pages 196-202.
  160. Eberhardt, Markus, 2019. "Democracy Does Cause Growth: Comment," CEPR Discussion Papers 13659, C.E.P.R. Discussion Papers.
  161. Rustam Ibragimov & Paul Kattuman & Anton Skrobotov, 2021. "Robust Inference on Income Inequality: $t$-Statistic Based Approaches," Papers 2105.05335, arXiv.org, revised Nov 2021.
  162. Hidalgo, Javier & Schafgans, Marcia, 2021. "Inference without smoothing for large panels with cross-sectional and temporal dependence," Journal of Econometrics, Elsevier, vol. 223(1), pages 125-160.
  163. Muhammad Arshad Khan & Muhammad Iftikhar Ul Husnain, 2019. "Is health care a luxury or necessity good? Evidence from Asian countries," International Journal of Health Economics and Management, Springer, vol. 19(2), pages 213-233, June.
  164. Arnab Bhattacharjee & Sean Holly, 2011. "Structural interactions in spatial panels," Empirical Economics, Springer, vol. 40(1), pages 69-94, February.
  165. Schneider, Nicolas & Strielkowski, Wadim, 2023. "Modelling the unit root properties of electricity data—A general note on time-domain applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
  166. Cheong, Siew Ann & Fornia, Robert Paulo & Lee, Gladys Hui Ting & Kok, Jun Liang & Yim, Woei Shyr & Xu, Danny Yuan & Zhang, Yiting, 2012. "The Japanese economy in crises: A time series segmentation study," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-81.
  167. Giampaolo Arachi & Valeria Bucci & Alessandra Casarico, 2015. "Tax structure and macroeconomic performance," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(4), pages 635-662, August.
  168. Munir, Qaiser & Lean, Hooi Hooi & Smyth, Russell, 2020. "CO2 emissions, energy consumption and economic growth in the ASEAN-5 countries: A cross-sectional dependence approach," Energy Economics, Elsevier, vol. 85(C).
  169. Ibragimov, Rustam, 2014. "On the robustness of location estimators in models of firm growth under heavy-tailedness," Journal of Econometrics, Elsevier, vol. 181(1), pages 25-33.
  170. repec:gnv:wpaper:unige:76321 is not listed on IDEAS
  171. Markus Eberhardt & Dietrich Vollrath, 2014. "Agricultural Technology and Structural Change," CSAE Working Paper Series 2014-21, Centre for the Study of African Economies, University of Oxford.
  172. Inoue, Atsushi, 2008. "Efficient estimation and inference in linear pseudo-panel data models," Journal of Econometrics, Elsevier, vol. 142(1), pages 449-466, January.
  173. Naoto Jinji & Xingyuan Zhang, 2015. "International Knowledge Flows and Productivity: Intra- vs. Inter-Industry Spillovers," International Economic Journal, Taylor & Francis Journals, vol. 29(3), pages 451-474, September.
  174. Feng, Long & Zhao, Ping & Ding, Yanling & Liu, Binghui, 2021. "Rank-based tests of cross-sectional dependence in panel data models," Computational Statistics & Data Analysis, Elsevier, vol. 153(C).
  175. Zhang, Yiting & Lee, Gladys Hui Ting & Wong, Jian Cheng & Kok, Jun Liang & Prusty, Manamohan & Cheong, Siew Ann, 2011. "Will the US economy recover in 2010? A minimal spanning tree study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2020-2050.
  176. Anwar, Ahsan & Siddique, Muhammad & Eyup Dogan, & Sharif, Arshian, 2021. "The moderating role of renewable and non-renewable energy in environment-income nexus for ASEAN countries: Evidence from Method of Moments Quantile Regression," Renewable Energy, Elsevier, vol. 164(C), pages 956-967.
  177. Kuersteiner, Guido M. & Prucha, Ingmar R., 2013. "Limit theory for panel data models with cross sectional dependence and sequential exogeneity," Journal of Econometrics, Elsevier, vol. 174(2), pages 107-126.
  178. Ibragimov, Rustam, 2007. "Efficiency of linear estimators under heavy-tailedness: convolutions of [alpha]-symmetric distributions," Scholarly Articles 2623749, Harvard University Department of Economics.
  179. repec:asg:wpaper:1045 is not listed on IDEAS
  180. Harry Seldadyo & J. Paul Elhorst & Jakob De Haan, 2010. "Geography and governance: Does space matter?," Papers in Regional Science, Wiley Blackwell, vol. 89(3), pages 625-640, August.
  181. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2020. "Model uncertainty, nonlinearities and out-of-sample comparison: evidence from international technology diffusion," SEEDS Working Papers 0120, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jan 2020.
  182. Jushan Bai & Chihwa Kao, 2005. "On the Estimation and Inference of a Panel Cointegration Model with Cross-Sectional Dependence," Center for Policy Research Working Papers 75, Center for Policy Research, Maxwell School, Syracuse University.
  183. Mohammadi, Hassan & Parvaresh, Shahrokh, 2014. "Energy consumption and output: Evidence from a panel of 14 oil-exporting countries," Energy Economics, Elsevier, vol. 41(C), pages 41-46.
  184. Kingsley E. Dogah & Hao Lan & Sheng Zhao & Boqiang Lin, 2024. "Does Declining Air Pollution Levels Always Signal Higher Premium for Housing Market?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(11), pages 2967-2992, November.
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