Data and Code For: Losing Prosociality in the Quest for Talent
Ashraf, N.
, Bandiera, O.
, Lee, S. S. & Davenport, E.
(2020).
Data and Code For: Losing Prosociality in the Quest for Talent.
[Dataset]. OpenICPSR.
https://doi.org/10.3886/e111683
We embed a field experiment in a nationwide recruitment drive for a new healthcare position in Zambia to test whether career benefits attract talent at the expense of prosocial motivation. In line with common wisdom, offering career opportunities attracts less prosocial applicants. However, the trade-off exists only at low levels of talent; the marginal applicants in treatment are more talented and equally prosocial. These are hired, and perform better at every step of the causal chain: they provide more inputs, increase facility utilization, and improve health outcomes including a 25 percent decrease in child malnutrition.
| Item Type | Dataset |
|---|---|
| Publisher | OpenICPSR |
| DOI | 10.3886/e111683 |
| Date made available | 15 April 2020 |
| Keywords | Asymmetric and Private Information, Mechanism Design, Human Capital, Skills, Occupational Choice, Labor Productivity, Labor Management, Human Resources, Human Development, Income Distribution, Migration |
| Temporal coverage |
From To 2010 2014 |
| Geographic coverage | Zambia |
| Resource language | Other |
| Departments | LSE |
Explore Further
-
Ashraf, N.
, Bandiera, O.
, Davenport, E. & Lee, S. (2020). Losing prosociality in the quest for talent? Sorting, selection, and productivity in the delivery of public services. American Economic Review, 110(5), 1355 - 1394. https://doi.org/10.1257/aer.20180326 (Repository Output)
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ORCID: https://orcid.org/0000-0003-3014-8439
ORCID: https://orcid.org/0009-0002-6817-793X