The DOI matches its Crossref record; 18 of the 19 references it cites were found in a registry or an index.
Inference with Difference-in-Differences and Other Panel Data
Abstract
We examine inference in panel data when the number of groups is small, as is typically the case for difference-in-differences estimation and when some variables are fixed within groups. In this case, standard asymptotics based on the number of groups going to infinity provide a poor approximation to the finite sample distribution. We show that in some cases the t-statistic is distributed as t and propose simple two-step estimators for these cases. We apply our analysis to two well-known papers. We confirm our theoretical analysis with Monte Carlo simulations.
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In the citing paper
“The disadvantage is the strong parametric assumption of homoskedastic Gaussian errors, which will often be hard to justify in practice.”
From What's trending in difference-in-differences? A synthesis of the recent econometrics literature (2023) · cites this paper as Donald and Lang (2007)
In the citing paper
“A nice feature of this approach is that it allows for valid inference when both the number of treated and untreated clusters is small.”
From What's trending in difference-in-differences? A synthesis of the recent econometrics literature (2023) · cites this paper as Donald and Lang (2007)
In the citing paper
“They then show that one can obtain valid inference by using critical values from a t -distribution with J ´ 2 degrees of freedom, where J is the total number of clusters.”
From What's trending in difference-in-differences? A synthesis of the recent econometrics literature (2023) · cites this paper as Donald and Lang (2007)
Citations
Cites
Longitudinal data analysis using generalized linear models
LIANG, K.-Y., & ZEGER, S. L. (1986) · Biometrika · doi:10.1093/biomet/73.1.13 · Cited by 18,550
An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Units
Moulton, B. R. (1990) · The Review of Economics and Statistics · doi:10.2307/2109724 · Cited by 2,567
Semiparametric Difference-in-Differences Estimators
Abadie, A. (2005) · The Review of Economic Studies · doi:10.1111/0034-6527.00321 · Cited by 2,286
Card, D., & Krueger, A. B. (2000) · American Economic Review · doi:10.1257/aer.90.5.1397 · Cited by 2,228
MacKinnon, J. G., & White, H. (1985) · Journal of Econometrics · doi:10.1016/0304-4076(85)90158-7 · Cited by 1,879
The Impact of the Mariel Boatlift on the Miami Labor Market
Card, D. (1989) · Industrial and Labor Relations Review · doi:10.2307/2523702 · Cited by 1,878
Empirical Strategies in Labor Economics
Angrist, J. D., & Krueger, A. B. (1999) · Handbook of Labor Economics · doi:10.1016/s1573-4463(99)03004-7 · Cited by 1,628
Random group effects and the precision of regression estimates
Moulton, B. R. (1986) · Journal of Econometrics · doi:10.1016/0304-4076(86)90021-7 · Cited by 1,574
Labor Supply Response to the Earned Income Tax Credit
Eissa, N., & Liebman, J. B. (1995) · National Bureau of Economic Research · doi:10.3386/w5158 · Cited by 717
Imbens, G. W., Rubin, D. B., & Sacerdote, B. I. (2001) · American Economic Review · doi:10.1257/aer.91.4.778 · Cited by 512
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1 of the 19 references couldn’t be matched to a known paper.
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Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches
Petersen, M. A. (2008) · Review of Financial Studies · doi:10.1093/rfs/hhn053 · Cited by 10,804
Abadie, A., Diamond, A., & Hainmueller, J. (2010) · Journal of the American Statistical Association · doi:10.1198/jasa.2009.ap08746 · Cited by 5,513
A Practitioner’s Guide to Cluster-Robust Inference
Colin Cameron, A., & Miller, D. L. (2015) · Journal of Human Resources · doi:10.3368/jhr.50.2.317 · Cited by 5,037
Recent Developments in the Econometrics of Program Evaluation
Imbens, G. W., & Wooldridge, J. M. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.1.5 · Cited by 4,926
Bootstrap-Based Improvements for Inference With Clustered Errors
Cameron, A. C., Gelbach, J. B., & Miller, D. L. (2008) · Review of Economics and Statistics · doi:10.1162/rest.90.3.414 · Cited by 4,417
Metadata
- Authors
- Donald, S. G., & Lang, K.
- Affiliations
- The University of Texas at Austin (US)
- Boston University (US)
- ORCID
- Lang, Kevin
- Venue
- Review of Economics and Statistics
- Publisher
- MIT Press
- Published
- 2007-05
- Volume
- 89
- Issue
- 2
- Pages
- 221-233
- ISSN
- 0034-6535 (ISSN-L)
- 1530-9142
- OpenAlex
- W2154062944
- Cited by
- 1,324
- References
- 19
- Citations by year
- 2026: 50 · 2025: 62 · 2024: 56 · 2023: 55 · 2022: 81 · 2021: 66 · 2020: 71 · 2019: 82 · 2018: 81 · 2017: 70 · 2016: 83 · 2015: 104 · 2014: 93 · 2013: 77 · 2012: 62
- FWCI
- 112.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Review of Economics and Statistics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- difference-in-differences, panel data, finite-sample inference, fixed effects, two-step estimator, asymptotic approximation, Monte Carlo simulation
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