Difference-in-Differences

Tài liệu về Difference-in-Differences

Nội dung

• Sharp & Fuzzy Difference-in-Differences (DiD), and Changes-in-Changes (CiC)

Sách

• Angrist, J. D., & Pischke, J. S. (2014). Mastering ‘Metrics: The Path from Cause to Effect. Princeton University Press. (Online resources: https://www.masteringmetrics.com/)

• Angrist, J. D., & Pischke, J. S. (2014). Mastering ‘Metrics: The Path from Cause to Effect. Princeton University Press. (Chapter 5).

• Cunningham, S. (2021). Causal inference: The mixtape. Yale university press. ( Chapter 9)

• Hansen, B. (2022). Econometrics. Princeton University Press (Chapter 18).

Bài báo

• Adda, J., & Cornaglia, F. (2010). The Effect of Bans and Taxes on Passive Smoking. American Economic Journal: Applied Economics, 2(1), 1-32

• Athey, S., & Imbens, G. W. (2006). Identification and Inference in Nonlinear Difference-in-Differences Models. Econometrica, 74(2), 431-497.

• Bertrand, M., Duflo, E., & Mullainathan, S. (2004). How Much Should We Trust Differences-inDifferences Estimates?. The Quarterly Journal of Economics, 119(1), 249-275.

• Callaway, B., & Sant’Anna, P. H. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230.

• Conley, T. G., & Taber, C. R. (2011). Inference with “Difference in Differences” with a Small Number of Policy Changes. The Review of Economics and Statistics, 93(1), 113-125.

• De Chaisemartin, C., & D’Haultfœuille, X. (2017). Fuzzy Differences-in-Differences. The Review of Economic and Studies, 85(2), 999-1028.

• De Chaisemartin, C., & d’Haultfœuille, X. (2020). Two-way fixed effects estimators with heterogeneous treatment effects. The American Economic Review, 110(9), 2964-96.

• Duflo, E. (2001). Schooling and Labor Market Consequences of School Construction in Indonesia: Evidence from an Unusual Policy Experiment. The American Economic Review, 91(4), 795-813.

• Goodman-Bacon, A. (2021). Difference-in-differences with variation in treatment timing. Journal of Econometrics

• Jaeger, D. A., Joyce, T. J., & Kaestner, R. (2020). A cautionary tale of evaluating identifying assumptions: did reality TV really cause a decline in teenage childbearing?. Journal of Business & Economic Statistics, 38(2), 317-326.

• Kahn-Lang, A., & Lang, K. (2020). The promise and pitfalls of differences-in-differences: Reflections on 16 and pregnant and other applications. Journal of Business & Economic Statistics, 38(3), 613-620.

• Lechner, M. (2011). The Estimation of Causal Effects by Difference-in-Difference Methods. Foundations and Trends in Econometrics, 4(3), 165-224.

• Lee, M. J., & Kang, C. (2006). Identification for Difference in Differences with Cross-Section and Panel Data. Economics Letters, 92(2), 270-276

• Kottelenberg, M. J., & Lehrer, S. F. (2017). Targeted or universal coverage? Assessing heterogeneity in the effects of universal child care. Journal of Labor Economics, 35(3), 609-653.

• Muralidharan, K., & Prakash, N. (2017). Cycling to School: Increasing Secondary School Enrollment for Girls in India. American Economic Journal: Applied Economics, 9(3), 321-50.

• Wooldridge, J. (2021). Two-way fixed effects, the two-way Mundlak regression, and difference-indifferences estimators. Available at SSRN 3906345.

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