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Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models
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Cited by:
- Eli Ben‐Michael & Avi Feller & Jesse Rothstein, 2022.
"Synthetic controls with staggered adoption,"
Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 351-381, April.
- Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2019. "Synthetic Controls with Staggered Adoption," Papers 1912.03290, arXiv.org, revised Jan 2021.
- Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2021. "Synthetic Controls with Staggered Adoption," NBER Working Papers 28886, National Bureau of Economic Research, Inc.
- Tarun M. Khanna & Diana Danilenko & Mark Andor & Max Callaghan & Julian H. Elliott & Tim Repke & Luke A. Smith & Jorge Sanchez & T. V. Bhumika & Jan C. Minx, 2024. "PROTOCOL: Behavioral, information and monetary interventions to reduce energy consumption in households: A “living” systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 20(3), September.
- MacKinnon, James G., 2023.
"Fast cluster bootstrap methods for linear regression models,"
Econometrics and Statistics, Elsevier, vol. 26(C), pages 52-71.
- James G. MacKinnon, 2021. "Fast cluster bootstrap methods for linear regression models," Working Paper 1465, Economics Department, Queen's University.
- Niklas M. Witzig, 2024. "Cognitive Noise and Altruistic Preferences," Working Papers 2415, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
- 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.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust," Working Paper 1483, Economics Department, Queen's University.
- James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust," Papers 2205.03288, arXiv.org, revised Nov 2023.
- 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.
- Harris, Douglas N. & Liu, Lihan & Barrett, Nathan & Li, Ruoxi, 2023. "Is the rise in high school graduation rates real? High-stakes school accountability and strategic behavior," Labour Economics, Elsevier, vol. 82(C).
- Thomas S. Dee & Emily K. Penner, 2021.
"My Brother's Keeper? The Impact of Targeted Educational Supports,"
Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(4), pages 1171-1196, September.
- Thomas Dee & Emily Penner, 2019. "My Brother’s Keeper? The Impact of Targeted Educational Supports," NBER Working Papers 26386, National Bureau of Economic Research, Inc.
- 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.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference," Working Paper 1485, Economics Department, Queen's University.
- James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2023. "Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference," Papers 2301.04527, arXiv.org, revised Feb 2023.
- 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.
- James G. MacKinnon & Morten Ø. Nielsen & Matthew D. Webb, 2019. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," Working Paper 1415, Economics Department, Queen's University.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2020. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," CREATES Research Papers 2020-06, Department of Economics and Business Economics, Aarhus University.
- 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.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2018. "Asymptotic Theory And Wild Bootstrap Inference With Clustered Errors," Working Paper 1399, Economics Department, Queen's University.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," CREATES Research Papers 2019-05, Department of Economics and Business Economics, Aarhus University.
- 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.
- Matthew D. Webb & James MacKinnon & Morten Nielsen, 2021. "Cluster–robust inference: A guide to empirical practice," Economics Virtual Symposium 2021 6, Stata Users Group.
- James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Papers 2205.03285, arXiv.org.
- James MacKinnon & Morten Ørregaard Nielsen, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," CREATES Research Papers 2022-08, Department of Economics and Business Economics, Aarhus University.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Working Paper 1456, Economics Department, Queen's University.
- James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls When Estimating Treatment Effects Using Clustered Data," Working Paper 1387, Economics Department, Queen's University.
- D'hert, Liam & Baert, Stijn & Lippens, Louis, 2024.
"Unemployment, Inactivity, and Hiring Chances: A Systematic Review and Meta-Analysis,"
IZA Discussion Papers
17141, Institute of Labor Economics (IZA).
- Liam D'hert & Stijn Baert & Louis Lippens, 2024. "Unemployment, inactivity, and hiring chances: A systematic review and meta-analysis," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 24/1089, Ghent University, Faculty of Economics and Business Administration.
- Niklas M. Witzig, 2024. "Cognitive Noise and Altruistic Preferences," Papers 2410.07647, arXiv.org, revised Jan 2025.
- Mamine, Fateh & Fares, M'hand & Minviel, Jean Joseph, 2020. "Contract Design for Adoption of Agrienvironmental Practices: A Meta-analysis of Discrete Choice Experiments," Ecological Economics, Elsevier, vol. 176(C).
- Lukas Delgado-Prieto, 2024. "Immigration, wages, and employment under informal labor markets," Journal of Population Economics, Springer;European Society for Population Economics, vol. 37(2), pages 1-34, June.
- Weiss, Amanda, 2024. "How Much Should We Trust Modern Difference-in-Differences Estimates?," OSF Preprints bqmws, Center for Open Science.
- Baule, Rainer & Münchhalfen, Patrick & Shkel, David & Tallau, Christian, 2023. "Fair-washing in the market for structured retail products? Voluntary self-regulation versus government regulation," Journal of Banking & Finance, Elsevier, vol. 148(C).
- Adam C. Sales & Ben B. Hansen, 2020. "Limitless Regression Discontinuity," Journal of Educational and Behavioral Statistics, , vol. 45(2), pages 143-174, April.
- Salvatore Nunnari & Massimiliano Pozzi, 2022. "Meta-Analysis of Inequality Aversion Estimates," CESifo Working Paper Series 9851, CESifo.
- Welz, Thilo & Viechtbauer, Wolfgang & Pauly, Markus, 2023. "Cluster-robust estimators for multivariate mixed-effects meta-regression," Computational Statistics & Data Analysis, Elsevier, vol. 179(C).
- John O'Trakoun, 2018. "The impact of trade on growth in the Great Lakes states," Economics Bulletin, AccessEcon, vol. 38(4), pages 1845-1856.
- 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.
- James G. MacKinnon, 2019. "How cluster‐robust inference is changing applied econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(3), pages 851-881, August.
- James G. MacKinnon, 2019. "How cluster-robust inference is changing applied econometrics," Working Paper 1413, Economics Department, Queen's University.
- Minnich, Aljoscha & Rau, Holger A. & Schlüter, Jan, 2020. "The effects of financial and non-financial incentives on the demand for a sustainable DRT system," University of Göttingen Working Papers in Economics 394, University of Goettingen, Department of Economics.
- Jeffrey D. Michler & Anna Josephson, 2022.
"Recent developments in inference: practicalities for applied economics,"
Chapters, in: A Modern Guide to Food Economics, chapter 11, pages 235-268,
Edward Elgar Publishing.
- Jeffrey D. Michler & Anna Josephson, 2021. "Recent Developments in Inference: Practicalities for Applied Economics," Papers 2107.09736, arXiv.org.
- Lambotte, Mathieu & Mathy, Sandrine & Risch, Anna & Treibich, Carole, 2023.
"Disentangling peer effects in transportation mode choice: The example of active commuting,"
Journal of Environmental Economics and Management, Elsevier, vol. 121(C).
- Mathieu Lambotte & Sandrine Mathy & Anna Risch & Carole Treibich, 2023. "Disentangling peer effects in transportation mode choice: The example of active commuting," Post-Print hal-04194873, HAL.
- Lluc Puig-Codina & Jaime Pinilla & Jaume Puig-Junoy, 2021. "The impact of taxing sugar-sweetened beverages on cola purchasing in Catalonia: an approach to causal inference with time series cross-sectional data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(1), pages 155-168, February.
- Latha Velayudhan & Katie McGoohan & Sagnik Bhattacharyya, 2021. "Safety and tolerability of natural and synthetic cannabinoids in adults aged over 50 years: A systematic review and meta-analysis," PLOS Medicine, Public Library of Science, vol. 18(3), pages 1-42, March.
- David Blazar & Blake Heller & Thomas J. Kane & Morgan Polikoff & Douglas O. Staiger & Scott Carrell & Dan Goldhaber & Douglas N. Harris & Rachel Hitch & Kristian L. Holden & Michal Kurlaender, 2020. "Curriculum Reform in The Common Core Era: Evaluating Elementary Math Textbooks Across Six U.S. States," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(4), pages 966-1019, September.
- Niklas Döbbeling-Hildebrandt & Klaas Miersch & Tarun M. Khanna & Marion Bachelet & Stephan B. Bruns & Max Callaghan & Ottmar Edenhofer & Christian Flachsland & Piers M. Forster & Matthias Kalkuhl & Ni, 2024. "Systematic review and meta-analysis of ex-post evaluations on the effectiveness of carbon pricing," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
- Yuki Takahashi, 2020. "The Role of Gender and Cognitive Skills on Other People's Generosity," Papers 2012.04591, arXiv.org, revised Oct 2021.
- Francis L. Huang, 2022. "Analyzing Cross-Sectionally Clustered Data Using Generalized Estimating Equations," Journal of Educational and Behavioral Statistics, , vol. 47(1), pages 101-125, February.
- 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.
- Áine Aventin & Martin Robinson & Jennifer Hanratty & Ciara Keenan & Jayne Hamilton & Eimear Ruane McAteer & Mark Tomlinson & Mike Clarke & Friday Okonofua & Chris Bonell & Maria Lohan, 2023. "Involving men and boys in family planning: A systematic review of the effective components and characteristics of complex interventions in low‐ and middle‐income countries," Campbell Systematic Reviews, John Wiley & Sons, vol. 19(1), March.
- Harold Doran, 2023. "A Collection of Numerical Recipes Useful for Building Scalable Psychometric Applications," Journal of Educational and Behavioral Statistics, , vol. 48(1), pages 37-69, February.
- Tyler E. Smith & Aaron M. Thompson & Brandy R. Maynard, 2022. "Self‐management interventions for reducing challenging behaviors among school‐age students: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(1), March.