Matching estimation of dynamic treatment models: Some practical issues

Abstract

Lechner and Miquel (2001) approached the causal analysis of sequences of interventions from a potential outcome perspective based on selection-on-observables-type assumptions (sequential conditional independence assumptions). Lechner (2004) proposed matching estimators for this framework. However, many practical issues that might have substantial consequences for the interpretation of the results have not been thoroughly investigated so far. This chapter discusses some of these practical issues. The discussion is related to estimates based on an artificial data set for which the true values of the parameters are known and that shares many features of data that could be used for an empirical dynamic matching analysis.

Citation

Lechner, M. (2008), "Matching estimation of dynamic treatment models: Some practical issues", Fomby, T., Carter Hill, R., Millimet, D.L., Smith, J.A. and Vytlacil, E.J. (Ed.) Modelling and Evaluating Treatment Effects in Econometrics (Advances in Econometrics, Vol. 21), Emerald Group Publishing Limited, Leeds, pp. 289-333. https://doi.org/10.1016/S0731-9053(07)00010-2