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Direct Estimation of Policy Impacts Author info | Abstract | Publisher info | Download info | Related research | Statistics Hidehiko Ichimura
Christopher R. Taber
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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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Paper provided by National Bureau of Economic Research, Inc in its series NBER Technical Working Papers with number
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Date of creation: Jun 2000Date of revision:
Handle: RePEc:nbr:nberte:0254Note: TWPContact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A. Phone: 617-868-3900 Email: Web page: http://www.nber.org More information through EDIRC
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Christopher Ferrall, 2002.
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Pedro Carneiro & Sokbae 'Simon' Lee, 2009.
"Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality ,"
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Hidehiko Ichimura & Christopher Taber, 2002.
"Semiparametric Reduced-Form Estimation of Tuition Subsidies ,"
American Economic Review ,
American Economic Association, vol. 92(2), pages 286-292, May.
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