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Inference with dependent data using cluster covariance estimators

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Cited by:

  1. MacKinnon, James G. & Webb, Matthew D., 2020. "Randomization inference for difference-in-differences with few treated clusters," Journal of Econometrics, Elsevier, vol. 218(2), pages 435-450.
  2. Bakker, Jan David & Maurer, Stephan & Pischke, Jörn-Steffen & Rauch, Ferdinand, 2018. "Of mice and merchants: trade and growth in the Iron Age," LSE Research Online Documents on Economics 91679, London School of Economics and Political Science, LSE Library.
  3. Timothy G. Conley & Sílvia Gonçalves & Min Seong Kim & Benoit Perron, 2023. "Bootstrap inference under cross‐sectional dependence," Quantitative Economics, Econometric Society, vol. 14(2), pages 511-569, May.
  4. Natalia Bailey & Sean Holly & M. Hashem Pesaran, 2016. "A Two‐Stage Approach to Spatio‐Temporal Analysis with Strong and Weak Cross‐Sectional Dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 249-280, January.
  5. Alfred Garloff & Carsten Pohl & Norbert Schanne, 2013. "Do small labor market entry cohorts reduce unemployment?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(15), pages 379-406.
  6. 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.
  7. Severen, Christopher & Plantinga, Andrew J., 2018. "Land-use regulations, property values, and rents: Decomposing the effects of the California Coastal Act," Journal of Urban Economics, Elsevier, vol. 107(C), pages 65-78.
  8. Ulrich K. Müller & Mark W. Watson, 2021. "Spatial Correlation Robust Inference," Working Papers 2021-61, Princeton University. Economics Department..
  9. Margherita Comola & Marcel Fafchamps, 2014. "Testing Unilateral and Bilateral Link Formation," Economic Journal, Royal Economic Society, vol. 124(579), pages 954-976, September.
  10. Timothy Conley & Silvia Gonçalves & Christian Hansen, 2018. "Inference with Dependent Data in Accounting and Finance Applications," Journal of Accounting Research, Wiley Blackwell, vol. 56(4), pages 1139-1203, September.
  11. Katja Görlitz & Christina Gravert, 2018. "The effects of a high school curriculum reform on university enrollment and the choice of college major," Education Economics, Taylor & Francis Journals, vol. 26(3), pages 321-336, May.
  12. MacKinnon, James G., 2020. "Wild cluster bootstrap confidence intervals," L'Actualité Economique, Société Canadienne de Science Economique, vol. 96(4), pages 721-743, Décembre.
  13. Gathmann, Christina & Sass, Björn, 2012. "Taxing Childcare: Effects on Family Labor Supply and Children," IZA Discussion Papers 6440, Institute of Labor Economics (IZA).
  14. Guido W. Imbens & Michal Kolesár, 2016. "Robust Standard Errors in Small Samples: Some Practical Advice," The Review of Economics and Statistics, MIT Press, vol. 98(4), pages 701-712, October.
  15. Sunde, Uwe & Cervellati, Matteo & Esposito, Elena & Valmori, Simona, 2016. "Malaria Risk and Civil Violence," CEPR Discussion Papers 11496, C.E.P.R. Discussion Papers.
  16. Guy Michaels & Ferdinand Rauch, 2013. "Resetting the Urban Network: 117-2012," CEP Discussion Papers dp1248, Centre for Economic Performance, LSE.
  17. Vincent Boucher & Yann Bramoullé, 2020. "Binary Outcomes and Linear Interactions," AMSE Working Papers 2038, Aix-Marseille School of Economics, France.
  18. Bazzi, Samuel & Fiszbein, Martin & Gebresilasse, Mesay, 2021. "“Rugged individualism” and collective (in)action during the COVID-19 pandemic," Journal of Public Economics, Elsevier, vol. 195(C).
  19. 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.
  20. Kim, Min Seong & Sun, Yixiao, 2013. "Heteroskedasticity and spatiotemporal dependence robust inference for linear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 177(1), pages 85-108.
  21. Daniel Aaronson & Bhashkar Mazumder, 2011. "The Impact of Rosenwald Schools on Black Achievement," Journal of Political Economy, University of Chicago Press, vol. 119(5), pages 821-888.
  22. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Leverage, influence, and the jackknife in clustered regression models: Reliable inference using summclust," Stata Journal, StataCorp LP, vol. 23(4), pages 942-982, December.
  23. Vincent BOUCHER & Ismael MOURIFIÉ, 2013. "My Friend Far Far Away: Asymptotic Properties of Pairwise Stable Networks," Working Papers tecipa-499, University of Toronto, Department of Economics.
  24. Stephan E. Maurer & Andrei V. Potlogea, 2021. "Male‐biased Demand Shocks and Women's Labour Force Participation: Evidence from Large Oil Field Discoveries," Economica, London School of Economics and Political Science, vol. 88(349), pages 167-188, January.
  25. J. Hidalgo & M. Schafgans, 2020. "Inference without smoothing for large panels with cross-sectional and temporal dependence," Papers 2006.14409, arXiv.org.
  26. Stephan Maurer & Ferdinand Rauch, 2023. "Economic geography aspects of the Panama Canal," Oxford Economic Papers, Oxford University Press, vol. 75(1), pages 142-162.
  27. 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.
  28. James G. MacKinnon & Matthew D. Webb & Morten Ø. Nielsen, 2017. "Bootstrap And Asymptotic Inference With Multiway Clustering," Working Paper 1386, Economics Department, Queen's University.
  29. Sun, Yu & Yan, Karen X., 2019. "Inference on Difference-in-Differences average treatment effects: A fixed-b approach," Journal of Econometrics, Elsevier, vol. 211(2), pages 560-588.
  30. Hagemann, Andreas, 2019. "Placebo inference on treatment effects when the number of clusters is small," Journal of Econometrics, Elsevier, vol. 213(1), pages 190-209.
  31. Samuel Bazzi & Martin Fiszbein & Mesay Gebresilasse, 2017. "Frontier Culture: The Roots and Persistence of “Rugged Individualism†in the United States," Boston University - Department of Economics - Working Papers Series WP2018-004, Boston University - Department of Economics.
  32. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Fast and reliable jackknife and bootstrap methods for cluster‐robust inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 671-694, August.
  33. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2021. "Wild Bootstrap and Asymptotic Inference With Multiway Clustering," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 505-519, March.
  34. Maurer, Stephan E., 2019. "Oil discoveries and education provision in the Postbellum South," Economics of Education Review, Elsevier, vol. 73(C).
  35. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Cluster-robust inference: A guide to empirical practice," Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
  36. David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LP, vol. 19(1), pages 4-60, March.
  37. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
  38. Gupta, Abhimanyu, 2018. "Autoregressive spatial spectral estimates," Journal of Econometrics, Elsevier, vol. 203(1), pages 80-95.
  39. 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.
  40. Jung, Yeonha, 2020. "The long reach of cotton in the US South: Tenant farming, mechanization, and low-skill manufacturing," Journal of Development Economics, Elsevier, vol. 143(C).
  41. Rho, Seunghwa & Vogelsang, Timothy J., 2021. "Inference in time series models using smoothed-clustered standard errors," Journal of Econometrics, Elsevier, vol. 224(1), pages 113-133.
  42. Frank Davenport, 2017. "Estimating standard errors in spatial panel models with time varying spatial correlation," Papers in Regional Science, Wiley Blackwell, vol. 96, pages 155-177, March.
  43. Sun, Yixiao, 2013. "Fixed-smoothing Asymptotics in a Two-step GMM Framework," University of California at San Diego, Economics Working Paper Series qt64x4z265, Department of Economics, UC San Diego.
  44. James G. MacKinnon & Matthew D. Webb, 2017. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 233-254, March.
  45. Sun, Yixiao, 2014. "Let’s fix it: Fixed-b asymptotics versus small-b asymptotics in heteroskedasticity and autocorrelation robust inference," Journal of Econometrics, Elsevier, vol. 178(P3), pages 659-677.
  46. Guy Michaels & Dzhamilya Nigmatulina & Ferdinand Rauch & Tanner Regan & Neeraj Baruah & Amanda Dahlstrand, 2021. "Planning Ahead for Better Neighborhoods: Long-Run Evidence from Tanzania," Journal of Political Economy, University of Chicago Press, vol. 129(7), pages 2112-2156.
  47. Samuel Bazzi & Martin Fiszbein & Mesay Gebresilasse, 2020. "Frontier Culture: The Roots and Persistence of “Rugged Individualism” in the United States," Econometrica, Econometric Society, vol. 88(6), pages 2329-2368, November.
  48. Hwang, Jungbin & Sun, Yixiao, 2018. "Should we go one step further? An accurate comparison of one-step and two-step procedures in a generalized method of moments framework," Journal of Econometrics, Elsevier, vol. 207(2), pages 381-405.
  49. Bellani, Luna & Hager, Anselm & Maurer, Stephan E., 2022. "The Long Shadow of Slavery: The Persistence of Slave Owners in Southern Lawmaking," The Journal of Economic History, Cambridge University Press, vol. 82(1), pages 250-283, March.
  50. Jingnan Zhang & Chengye Li & Junhui Wang, 2023. "A stochastic block Ising model for multi‐layer networks with inter‐layer dependence," Biometrics, The International Biometric Society, vol. 79(4), pages 3564-3573, December.
  51. Vogelsang, Timothy J., 2012. "Heteroskedasticity, autocorrelation, and spatial correlation robust inference in linear panel models with fixed-effects," Journal of Econometrics, Elsevier, vol. 166(2), pages 303-319.
  52. L. Bryan, Mark & P. Jenkins, Stephen, 2013. "Regression analysis of country effects using multilevel data: a cautionary tale," ISER Working Paper Series 2013-14, Institute for Social and Economic Research.
  53. David Powell, 2017. "Inference with Correlated Clusters," Working Papers WR-1137-1, RAND Corporation.
  54. Dustan, Andrew & Ngo, Diana K.L., 2018. "Commuting to educational opportunity? School choice effects of mass transit expansion in Mexico City," Economics of Education Review, Elsevier, vol. 63(C), pages 116-133.
  55. Ulrich K. Müller & Mark W. Watson, 2022. "Spatial Correlation Robust Inference," Econometrica, Econometric Society, vol. 90(6), pages 2901-2935, November.
  56. Andreas Hagemann, 2020. "Inference with a single treated cluster," Papers 2010.04076, arXiv.org.
  57. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Testing for the appropriate level of clustering in linear regression models," Journal of Econometrics, Elsevier, vol. 235(2), pages 2027-2056.
  58. Andreas Hagemann, 2017. "Cluster-Robust Bootstrap Inference in Quantile Regression Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(517), pages 446-456, January.
  59. Jungbin Hwang, 2017. "Simple and Trustworthy Cluster-Robust GMM Inference," Working papers 2017-19, University of Connecticut, Department of Economics, revised Aug 2020.
  60. Görlitz, Katja & Gravert, Christina, 2015. "The Effects of Increasing the Standards of the High School Curriculum on School Dropout," IZA Discussion Papers 8766, Institute of Labor Economics (IZA).
  61. Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2018. "The wild bootstrap with a "small" number of "large" clusters," CeMMAP working papers CWP27/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  62. Brewer Mike & Crossley Thomas F. & Joyce Robert, 2018. "Inference with Difference-in-Differences Revisited," Journal of Econometric Methods, De Gruyter, vol. 7(1), pages 1-16, January.
  63. James G. MacKinnon, 2019. "How cluster-robust inference is changing applied econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 52(3), pages 851-881, August.
  64. Denis Kojevnikov & Kyungchul Song, 2021. "Some Impossibility Results for Inference With Cluster Dependence with Large Clusters," Papers 2109.03971, arXiv.org, revised Jun 2023.
  65. Nafisa Halim & Kathryn Yount & Solveig Cunningham & Rohini Pande, 2016. "Women’s Political Empowerment and Investments in Primary Schooling in India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(3), pages 813-851, February.
  66. Hwang, Jungbin, 2021. "Simple and trustworthy cluster-robust GMM inference," Journal of Econometrics, Elsevier, vol. 222(2), pages 993-1023.
  67. Hoyt Bleakley & Jeffrey Lin, 2012. "Portage and Path Dependence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(2), pages 587-644.
  68. Abhimanyu Gupta & Javier Hidalgo, 2020. "Nonparametric prediction with spatial data," Papers 2008.04269, arXiv.org, revised Nov 2021.
  69. Wenjie Wang & Yichong Zhang, 2021. "Wild Bootstrap for Instrumental Variables Regressions with Weak and Few Clusters," Papers 2108.13707, arXiv.org, revised Jan 2024.
  70. Cory Koedel & Eric Parsons & Michael Podgursky & Mark Ehlert, 2015. "Teacher Preparation Programs and Teacher Quality: Are There Real Differences Across Programs?," Education Finance and Policy, MIT Press, vol. 10(4), pages 508-534, October.
  71. Matz Dahlberg & Karin Edmark & Heléne Lundqvist, 2012. "Ethnic Diversity and Preferences for Redistribution," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 41-76.
  72. Edward L. Glaeser & Sari Pekkala Kerr & William R. Kerr, 2015. "Entrepreneurship and Urban Growth: An Empirical Assessment with Historical Mines," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 498-520, May.
  73. James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
  74. Michael P. Leung, 2022. "Dependence‐robust inference using resampled statistics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 270-285, March.
  75. Moscone, Francesco & Tosetti, Elisa, 2012. "HAC estimation in spatial panels," Economics Letters, Elsevier, vol. 117(1), pages 60-65.
  76. Samuel Bazzi & Martin Fiszbein & Mesay Gebresilasse, 2018. "Frontier Culture: The Roots and Persistence of “Rugged Individualism†in the United States," Boston University - Department of Economics - Working Papers Series dp-302, Boston University - Department of Economics.
  77. Ulrich K. Muller & Mark W. Watson, 2021. "Spatial Correlation Robust Inference," Papers 2102.09353, arXiv.org.
  78. Yong Cai, 2021. "A Modified Randomization Test for the Level of Clustering," Papers 2105.01008, arXiv.org, revised Jan 2022.
  79. Andreas Hagemann, 2023. "Inference on quantile processes with a finite number of clusters," Papers 2301.04687, arXiv.org, revised Jun 2023.
  80. Laurent Davezies & Xavier D'Haultfoeuille & Yannick Guyonvarch, 2018. "Asymptotic results under multiway clustering," Papers 1807.07925, arXiv.org, revised Aug 2018.
  81. Pakel, Cavit, 2019. "Bias reduction in nonlinear and dynamic panels in the presence of cross-section dependence," Journal of Econometrics, Elsevier, vol. 213(2), pages 459-492.
  82. Aman Ullah & Tao Wang & Weixin Yao, 2022. "Nonlinear modal regression for dependent data with application for predicting COVID‐19," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1424-1453, July.
  83. Martin Fiszbein, 2017. "Agricultural Diversity, Structural Change and Long-run Development: Evidence from the U.S," NBER Working Papers 23183, National Bureau of Economic Research, Inc.
  84. Michael P. Leung, 2023. "Network Cluster‐Robust Inference," Econometrica, Econometric Society, vol. 91(2), pages 641-667, March.
  85. Jan David Bakker & Stephan Maurer & Jörn-Steffen Pischke & Ferdinand Rauch, 2021. "Of Mice and Merchants: Connectedness and the Location of Economic Activity in the Iron Age," The Review of Economics and Statistics, MIT Press, vol. 103(4), pages 652-665, October.
  86. Wei, Yao & Anselmi, Laura & Munford, Luke & Sutton, Matt, 2023. "The impact of devolution on experienced health and well-being," Social Science & Medicine, Elsevier, vol. 333(C).
  87. Chami, Goylette F. & Kontoleon, Andreas A. & Bulte, Erwin & Fenwick, Alan & Kabatereine, Narcis B. & Tukahebwa, Edridah M. & Dunne, David W., 2017. "Community-directed mass drug administration is undermined by status seeking in friendship networks and inadequate trust in health advice networks," Social Science & Medicine, Elsevier, vol. 183(C), pages 37-47.
  88. Michael Pollmann, 2020. "Causal Inference for Spatial Treatments," Papers 2011.00373, arXiv.org, revised Jan 2023.
  89. Stephan Heblich & Alex Trew, 2019. "Banking and Industrialization," Journal of the European Economic Association, European Economic Association, vol. 17(6), pages 1753-1796.
  90. Zhang, Xianyang & Shao, Xiaofeng, 2013. "On a general class of long run variance estimators," Economics Letters, Elsevier, vol. 120(3), pages 437-441.
  91. Hansen, Bruce E. & Lee, Seojeong, 2019. "Asymptotic theory for clustered samples," Journal of Econometrics, Elsevier, vol. 210(2), pages 268-290.
  92. Baum-Snow, Nathaniel & Ferreira, Fernando, 2015. "Causal Inference in Urban and Regional Economics," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 3-68, Elsevier.
  93. Matthew Gentzkow & Jesse M. Shapiro & Michael Sinkinson, 2011. "The Effect of Newspaper Entry and Exit on Electoral Politics," American Economic Review, American Economic Association, vol. 101(7), pages 2980-3018, December.
  94. Matthew D. Webb, 2023. "Reworking wild bootstrap‐based inference for clustered errors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(3), pages 839-858, August.
  95. Bruno Ferman, 2023. "Inference in difference‐in‐differences: How much should we trust in independent clusters?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 358-369, April.
  96. David Powell, 2016. "Synthetic Control Estimation Beyond Case Studies Does the Minimum Wage Reduce Employment?," Working Papers WR-1142, RAND Corporation.
  97. Djogbenou, Antoine A. & MacKinnon, James G. & Nielsen, Morten Ørregaard, 2019. "Asymptotic theory and wild bootstrap inference with clustered errors," Journal of Econometrics, Elsevier, vol. 212(2), pages 393-412.
  98. James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls When Estimating Treatment Effects Using Clustered Data," Working Paper 1387, Economics Department, Queen's University.
  99. Previtero, Alessandro, 2014. "Stock market returns and annuitization," Journal of Financial Economics, Elsevier, vol. 113(2), pages 202-214.
  100. Ng Cheuk Fai, 2022. "Robust Inference in High Dimensional Linear Model with Cluster Dependence," Papers 2212.05554, arXiv.org.
  101. Carl Müller-Crepon, 2022. "Local ethno-political polarization and election violence in majoritarian vs. proportional systems," Journal of Peace Research, Peace Research Institute Oslo, vol. 59(2), pages 242-258, March.
  102. Kelly, Morgan, 2020. "Understanding Persistence," CEPR Discussion Papers 15246, C.E.P.R. Discussion Papers.
  103. De Noni, Ivan & Orsi, Luigi & Belussi, Fiorenza, 2018. "The role of collaborative networks in supporting the innovation performances of lagging-behind European regions," Research Policy, Elsevier, vol. 47(1), pages 1-13.
  104. 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.
  105. Thomas Barrios & Rebecca Diamond & Guido W. Imbens & Michal Kolesár, 2012. "Clustering, Spatial Correlations, and Randomization Inference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(498), pages 578-591, June.
  106. Carolina Caetano & Gregorio Caetano & Hao Fe & Eric R. Nielsen, 2021. "A Dummy Test of Identification in Models with Bunching," Finance and Economics Discussion Series 2021-068, Board of Governors of the Federal Reserve System (U.S.).
  107. Stephan Heblich & Alex Trew, 2019. "Banking and Industrialization," Journal of the European Economic Association, European Economic Association, vol. 17(6), pages 1753-1796.
  108. Wang, Wenjie, 2021. "Wild Bootstrap for Instrumental Variables Regression with Weak Instruments and Few Clusters," MPRA Paper 106227, University Library of Munich, Germany.
  109. Zhang, Xianyang, 2016. "Fixed-smoothing asymptotics in the generalized empirical likelihood estimation framework," Journal of Econometrics, Elsevier, vol. 193(1), pages 123-146.
  110. Nick Obradovich, 2017. "Climate change may speed democratic turnover," Climatic Change, Springer, vol. 140(2), pages 135-147, January.
  111. Andreas Hagemann, 2019. "Permutation inference with a finite number of heterogeneous clusters," Papers 1907.01049, arXiv.org, revised Feb 2023.
  112. repec:clg:wpaper:2013-17 is not listed on IDEAS
  113. Anna Gloria Billé & Roberto Benedetti & Paolo Postiglione, 2017. "A two-step approach to account for unobserved spatial heterogeneity," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(4), pages 452-471, October.
  114. Joanne Haddad, 2022. "Settlers and Norms," Working Papers ECARES 2022-02, ULB -- Universite Libre de Bruxelles.
  115. 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.
  116. Moscone, F. & Tosetti, Elisa, 2015. "Robust estimation under error cross section dependence," Economics Letters, Elsevier, vol. 133(C), pages 100-104.
  117. 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.
  118. 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.
  119. Daniel L. Chen, 2015. "Can markets stimulate rights? On the alienability of legal claims," RAND Journal of Economics, RAND Corporation, vol. 46(1), pages 23-65, March.
  120. Hendricks, Nathan P. & Smith, Aaron D., 2012. "Comparing the Bias of Dynamic Panel Estimators in Multilevel Panels: Individual versus Grouped Data," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124548, Agricultural and Applied Economics Association.
  121. Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2017. "Validity Of Wild Bootstrap Inference With Clustered Errors," Working Paper 1383, Economics Department, Queen's University.
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