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Evaluation methods for non-experimental data

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Author Info
Richard Blundell () (Institute for Fiscal Studies and University College London)
Monica Costa Dias () (Institute for Fiscal Studies)

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Abstract

This paper presents a review of non-experimental methods for the evaluation of social programmes. We consider matching and selection methods and analyse each for cross-section, repeated cross-section and longitudinal data. The methods are assessed drawing on evidence from labour market programmes in the UK and in the US.

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Publisher Info
Article provided by Institute for Fiscal Studies in its journal Fiscal Studies.

Volume (Year): 21 (2000)
Issue (Month): 4 (January)
Pages: 427-468
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Handle: RePEc:ifs:fistud:v:21:y:2000:i:4:p:427-468

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January. [Downloadable!] (restricted)
  2. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-20, September. [Downloadable!] (restricted)
  3. Gary Burtless, 1985. "Are targeted wage subsidies harmful? Evidence from a wage voucher experiment," Industrial and Labor Relations Review, ILR Review, ILR School, Cornell University, vol. 39(1), pages 105-114, October.
  4. Eissa, Nada & Liebman, Jeffrey B, 1996. "Labor Supply Response to the Earned Income Tax Credit," The Quarterly Journal of Economics, MIT Press, vol. 111(2), pages 605-37, May. [Downloadable!] (restricted)
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  5. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February. [Downloadable!] (restricted)
  6. Jinyong Hahn, 1998. "On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects," Econometrica, Econometric Society, vol. 66(2), pages 315-332, March.
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