You’ve earned it: estimating the impact of human capital on social preferences
Pamela Jakiela,
Edward Miguel and
Vera Velde ()
Experimental Economics, 2015, vol. 18, issue 3, 385-407
Abstract:
We combine data from a randomized evaluation and a laboratory experiment to measure the causal impact of human capital on respect for earned property rights, a component of social preferences with important implications for economic growth and development. We find that higher academic achievement reduces the willingness of young Kenyan women to appropriate others’ labor income, and shifts players toward a 50–50 split norm in a modified dictator game. This study demonstrates that education may have long-run impacts on social preferences, norms and institutions beyond the human capital directly produced. Copyright Economic Science Association 2015
Keywords: Social preferences; Education; Experiment (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://hdl.handle.net/10.1007/s10683-014-9409-9 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: You’ve earned it: estimating the impact of human capital on social preferences (2015) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:expeco:v:18:y:2015:i:3:p:385-407
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10683/PS2
DOI: 10.1007/s10683-014-9409-9
Access Statistics for this article
Experimental Economics is currently edited by David J. Cooper, Lata Gangadharan and Charles N. Noussair
More articles in Experimental Economics from Springer, Economic Science Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().