Starjournal Quotation Jacobi, Liana, Wagner, Helga, Frühwirth-Schnatter, Sylvia. 2016. Bayesian Treatment Effects Models with Variable Selection for Panel Outcomes with an Application to Earnings Effects of Maternity Leave. Journal of Econometrics 193, 234-250.


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Abstract

We propose two alternative Bayesian treatment effect modeling and inferential frameworks for panel outcomes to estimate dynamic earnings effects of a long maternity leave on mothers’ subsequent earnings. Modeling of the endogeneity of the treatment and the panel structure of the earnings are based on the modeling tradition of the Roy switching regression model and the shared factor approach, respectively. We implement stochastic variable selection to test, for example, for the presence of different dynamics under the treatment. Exploiting a change in maternity leave policy and Austrian registry data we identify substantial negative but steadily decreasing earnings effects over a 5 years period.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Journal of Econometrics
Citation Index SSCI
WU Journalrating 2009 A+
Starjournal Y
Language English
Title Bayesian Treatment Effects Models with Variable Selection for Panel Outcomes with an Application to Earnings Effects of Maternity Leave
Volume 193
Year 2016
Page from 234
Page to 250
Reviewed? Y
URL http://www.sciencedirect.com/science/article/pii/S0304407616300197
DOI http://dx.doi.org/10.1016/j.jeconom.2016.01.005
JEL JEL C11, C31, C33, C38, C52, J31, J13, J16

Associations

People
Frühwirth-Schnatter, Sylvia (Details)
External
Jacobi, Liana (University of Melbourne, Australia)
Wagner, Helga (Johannes Kepler Universität Linz, Austria)
Organization
Institute for Statistics and Mathematics IN (Details)
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