Does it Pay to Work for Free? Negative Selection and the Wage Returns to Volunteer Experience
Research output: Contribution to journal › Article › peer-review
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In: Oxford Bulletin of Economics and Statistics, Vol. 79, No. 6, 12.2017, p. 1018-1045.
Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Does it Pay to Work for Free?
T2 - Negative Selection and the Wage Returns to Volunteer Experience
AU - Cozzi, Guido
AU - Mantovan, Noemi
AU - Sauer, Robert M
PY - 2017/12
Y1 - 2017/12
N2 - This paper offers the first instrumental variables estimates of the wagereturns to volunteer experience. The returns are substantial and dierconsiderably by gender. The results imply that the unequal valuationof volunteer experience by gender is more important in explaining thegender earnings gap than is the unequal valuation of part-time paid workexperience. The results also indicate negative selection into unpaid work.In a simple model of optimal volunteering, negative selection implies thata lower cost of volunteering would produce both an expanded and higher-skilled pool of volunteers, and greater societal benets from volunteerwork.
AB - This paper offers the first instrumental variables estimates of the wagereturns to volunteer experience. The returns are substantial and dierconsiderably by gender. The results imply that the unequal valuationof volunteer experience by gender is more important in explaining thegender earnings gap than is the unequal valuation of part-time paid workexperience. The results also indicate negative selection into unpaid work.In a simple model of optimal volunteering, negative selection implies thata lower cost of volunteering would produce both an expanded and higher-skilled pool of volunteers, and greater societal benets from volunteerwork.
KW - Volunteering
KW - Unpaid work
KW - Gender Differences
KW - Instrumental variables
KW - Negarive Selection
U2 - 10.1111/obes.12183
DO - 10.1111/obes.12183
M3 - Article
VL - 79
SP - 1018
EP - 1045
JO - Oxford Bulletin of Economics and Statistics
JF - Oxford Bulletin of Economics and Statistics
SN - 1468-0084
IS - 6
ER -