Direct Estimation of Policy Impacts / Hidehiko Ichimura, Christopher R. Taber.

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Ichimura, Hidehiko

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Material type: Text

TextSeries: Technical Working Paper Series (National Bureau of Economic Research) ; no. t0254.Publication details: Cambridge, Mass. National Bureau of Economic Research 2000.Description: 1 online resource: illustrations (black and white)Online resources:

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Abstract: This paper specifies a general set of conditions under which the impacts of a policy can be identified using data generated under a different policy regime. We show that some of the policy impacts can be identified under relatively weak conditions on the data and structure of a model. Based on the identification results we develop estimators of policy impacts. We discuss a nonparametric method to implement the estimation but also discuss semiparametric methods in order to reduce the conditioning dimension. We then provide an empirical example of the impact of tuition subsidies using the ideas. While the framework used in this paper is fairly narrow, we believe this approach can be applied to a broad set of problems.

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Previous	nber t0251 Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score /	nber t0252 Local Instrumental Variables /	nber t0253 Estimating Euler Equations /	nber t0254 Direct Estimation of Policy Impacts /	nber t0255 Robust Covariance Matrix Estimation with Data-Dependent VAR Prewhitening Order /	nber t0256 Encompassing Tests When No Model Is Encompassing /	nber t0257 Bias from Classical and Other Forms of Measurement Error /	Next

June 2000.

This paper specifies a general set of conditions under which the impacts of a policy can be identified using data generated under a different policy regime. We show that some of the policy impacts can be identified under relatively weak conditions on the data and structure of a model. Based on the identification results we develop estimators of policy impacts. We discuss a nonparametric method to implement the estimation but also discuss semiparametric methods in order to reduce the conditioning dimension. We then provide an empirical example of the impact of tuition subsidies using the ideas. While the framework used in this paper is fairly narrow, we believe this approach can be applied to a broad set of problems.