Abstract
I argue for thinking of program evaluation as a decision problem. There are two steps. First, a counselor determines which program (treatment or control) each individual joins, based for example on maximizing the probability of employment or expected earnings. Second, the policymaker decides whether: to assign all individuals to treatment or to control, or to allow the counselor to choose. This framework has two advantages. Individualized assignment rules (known as profiling) can raise the average impact, improving cost effectiveness by exploiting treatment-impact heterogeneity. Second, it accounts system-atically for inequality and uncertainty, and the policymaker's attitude toward these, in the evaluation.
Original language | English (US) |
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Pages (from-to) | 141-173 |
Number of pages | 33 |
Journal | Journal of Econometrics |
Volume | 125 |
Issue number | 1-2 SPEC. ISS. |
DOIs | |
State | Published - Mar 2005 |
Keywords
- Bayesian econometric
- Profiling
- Program evaluation
ASJC Scopus subject areas
- Economics and Econometrics