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How cluster‐robust inference is changing applied econometrics

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As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Back to School Reading
    by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2019-09-01 13:40:00

Citations

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Cited by:

  1. McLaughlin, Darragh & McLaughlin, Eoin & Kenny, Sean, 2025. "Taking a punt: Monetary experimentation and the Irish macroeconomic crisis of 1955-56," QUCEH Working Paper Series 25-02, Queen's University Belfast, Queen's University Centre for Economic History.
  2. Lampe, Ryan & McRae, Shaun, 2021. "Self-regulation vs state regulation: Evidence from cinema age restrictions," International Journal of Industrial Organization, Elsevier, vol. 75(C).
  3. 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).
  4. 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.
  5. Hao Shi & Bing Ye, 2024. "Unfunded mandates and taxation," Fiscal Studies, John Wiley & Sons, vol. 45(1), pages 77-106, March.
  6. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2024. "Cluster-Robust Jackknife and Bootstrap Inference for Binary Response Models," Working Paper 1515, Economics Department, Queen's University.
  7. Harold D. Chiang & Kengo Kato & Yukun Ma & Yuya Sasaki, 2022. "Multiway Cluster Robust Double/Debiased Machine Learning," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1046-1056, June.
  8. Gerling, Lena & Kellermann, Kim Leonie, 2019. "The impact of election information shocks on populist party preferences: Evidence from Germany," CIW Discussion Papers 3/2019, University of Münster, Center for Interdisciplinary Economics (CIW).
  9. 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.
  10. Hirschauer, Norbert & Grüner, Sven & Mußhoff, Oliver & Becker, Claudia & Jantsch, Antje, 2020. "Can p-values be meaningfully interpreted without random sampling?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14, pages 71-91.
  11. David Aristei & Cristiano Perugini, 2022. "Credit and income mobility in Russia," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(3), pages 639-669, September.
  12. Jian Chen & Xiaohui Tian & Jialing Yu, 2024. "How a price‐support policy can hurt the environment: Empirical evidence from Northeast China," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 72(2), pages 131-148, June.
  13. 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.
  14. Ruonan Xu & Luther Yap, 2024. "Clustering with Potential Multidimensionality: Inference and Practice," Papers 2411.13372, arXiv.org.
  15. Navarro, Salvador & Zhou, Jin, 2024. "Human capital and migration: A cautionary tale," Journal of Econometrics, Elsevier, vol. 243(1).
  16. Weilun Wu & Jianhua Duan & W. Robert Reed & Elizabeth Tipton, 2025. "What Can We Learn From 1000 Meta-Analyses Across 10 Different Disciplines?," Working Papers in Economics 25/07, University of Canterbury, Department of Economics and Finance.
  17. 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.
  18. Gerling, Lena & Kellermann, Kim Leonie, 2022. "Contagious populists: The impact of election information shocks on populist party preferences in Germany," European Journal of Political Economy, Elsevier, vol. 72(C).
  19. Segundo Camino‐Mogro, 2023. "Tax incentives, private investment and employment: Evidence from an Ecuadorian reform," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(7), pages 2129-2156, October.
  20. Andreas Hagemann, 2019. "Permutation inference with a finite number of heterogeneous clusters," Papers 1907.01049, arXiv.org, revised Feb 2023.
  21. repec:osf:socarx:yazr8_v1 is not listed on IDEAS
  22. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2024. "Cluster-robust jackknife and bootstrap inference for logistic regression models," Papers 2406.00650, arXiv.org, revised May 2025.
  23. Fraser Summerfield & Livio Di Matteo, 2024. "Influenza pandemics and macroeconomic fluctuations 1871–2016," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 18(2), pages 405-451, May.
  24. Asresu Yitayew & Awudu Abdulai & Yigezu A Yigezu, 2022. "Improved agricultural input delivery systems for enhancing technology adoption: evidence from a field experiment in Ethiopia," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(3), pages 527-556.
  25. 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.
  26. Sanghyun Hong & W. Robert Reed, 2019. "Towards an Experimental Framework for Assessing Meta-Analysis Methods, with a Focus on Andrews-Kasy Estimators," Working Papers in Economics 19/13, University of Canterbury, Department of Economics and Finance.
  27. Samantha Rawlings & Zahra Siddique, 2020. "Domestic Violence and Child Mortality in the Developing World," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 723-750, August.
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