Evaluating Social Policy by Experimental and Nonexperimental Methods
AbstractEstablishing 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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Bibliographic InfoPaper provided by Department of Economics, University of Bergen in its series Norway; Department of Economics, University of Bergen with number 1700.
Length: 30 pages
Date of creation: 2000
Date of revision:
Contact details of provider:
Postal: Department of Economics, University of Bergen Fosswinckels Gate 6. N-5007 Bergen, Norway
Web page: http://www.uib.no/econ/
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STATISTICS ; SOCIAL POLICY ; EXPERIMENTS;
Other versions of this item:
- Bratberg, Espen & Grasdal, Astrid & Risa, Alf Erling, 2002. " Evaluating Social Policy by Experimental and Nonexperimental Methods," Scandinavian Journal of Economics, Wiley Blackwell, vol. 104(1), pages 147-71.
- H30 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - General
- C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
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