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Evaluating Social Policy by Experimental and Nonexperimental Methods

  • Bratberg, E.
  • Grasdal, A.
  • Risa, A.E.

Establishing causal relationships in social policy evaluation is important, but difficult due to sample selection. To evaluate the performance of estimators designed to handle sample selection bias we analyse data from a Norwegian rehabilitation project with a randomised experimental design. The data permit us to compare the performance of different nonexperimental estimators with the experimental results. In our case study we find that nonexperimental evaluation based on sample selection estimators with selection terms which fails to meet conventional levels of statistical significance is highly unreliable. The difference in difference estimator and stratification on propensity scores perform better in our context.

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Paper provided by Department of Economics, University of Bergen in its series Norway; Department of Economics, University of Bergen with number 1700.

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Length: 30 pages
Date of creation: 2000
Date of revision:
Handle: RePEc:fth:bereco:1700
Contact details of provider: Postal: Department of Economics, University of Bergen Fosswinckels Gate 6. N-5007 Bergen, Norway
Phone: (+47)55589200
Fax: (+47)55589210
Web page: http://www.uib.no/econ/
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