Abstract
We model complexity in social programs as a by-product of the screening process. While a more rigorous screening process may improve targeting efficiency, the associated complexity is costly to applicants and induces incomplete take-up. We integrate the study of take-up with the study of rejection (Type I) and award (Type II) errors, and characterize optimal programs when policy makers choose screening intensity (and complexity), an eligibility rule, and a benefit level. Consistent with many real-world programs, optimal programs feature high complexity, incomplete take-up, classification errors of both Type I and II and, in some cases, "excessive" benefits.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 54-90 |
| Number of pages | 37 |
| Journal | American Economic Journal: Economic Policy |
| Volume | 3 |
| Issue number | 1 |
| DOIs | |
| State | Published - Feb 2011 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- General Economics, Econometrics and Finance
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