Nguyen Viet, Cuong (2010): A Matching Method with Panel Data. Published in: Statistics in Medicine , Vol. 32, (15. February 2012): pp. 577-588.
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Difference-in-differences with matching is a popular method to measure the impact of an intervention in health as well as social sciences. This method requires baseline data, i.e., data before interventions, which are not always available in reality. Instead, panel data with two time periods are often collected after interventions begin. In this paper, a simple matching method is proposed to measure impact of an intervention using two-period panel data after the intervention.
|Item Type:||MPRA Paper|
|Original Title:||A Matching Method with Panel Data|
|Keywords:||Impact evaluation, difference-in-differences, matching, propensity score, panel data|
|Subjects:||H - Public Economics > H4 - Publicly Provided Goods > H43 - Project Evaluation; Social Discount Rate
C - Mathematical and Quantitative Methods > C2 - Single Equation Models; Single Variables > C21 - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
|Depositing User:||Cuong Nguyen Viet|
|Date Deposited:||18. Feb 2012 14:02|
|Last Modified:||13. Feb 2013 14:59|
Heckman, J., R. Lalonde and J. Smith, 1999. The Economics and Econometrics of Active Labor Market Programs. Handbook of Labor Economics, Volume 3, Ashenfelter, A. and D. Card, eds., Elsevier Science.
Rosenbaum, P. and R. Rubin, 1983. The Central Role of the Propensity Score in Observational Studies for Causal Effects. Biometrika 70 (1), 41-55.
Rubin, D., 1979. Using Multivariate Sampling and Regression Adjustment to Control Bias in Observational Studies. Journal of the American Statistical Association. 74, 318–328.
Smith, J. and P. Todd, 2005. Does Matching Overcome LaLonde’s Critique of Nonexperimental Estimators? Journal of Econometrics 125 (1–2), 305–353.