<div class="csl-bib-body">
<div class="csl-entry">Zuzek, S. (2017). <i>Peer effect estimation through a covariate-adjusted regression discontinuity design</i> [Master Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2017.46247</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2017.46247
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/6849
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dc.description.abstract
This thesis uses data on the Austrian labor market to obtain an estimate of a peer effect in parental leave decisions among young fathers. Identification arises through a reform of parental leave, when higher benefits led to an increase in the participation rate of 4.7 - 6.6 percentage points. I use the resulting discontinuity around the implementation date of the reform to implement a fuzzy Regression Discontinuity Design (RDD), which allows to obtain estimates of a peer effect of reform-window fathers on their coworkers. I include additional covariates on the observations in order to increase the precision of the estimator and discuss relevant theoretical results on asymptotic inference. The results indicate a quantitatively large increase of the coworker participation rate of 13 - 28 percentage points, however statistical significance of the peer effect is weak.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
Regression Discontinuity Design
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dc.subject
Peer effects
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dc.subject
Covariate-adjustment
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dc.subject
labor market network
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dc.subject
coworker effects
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dc.title
Peer effect estimation through a covariate-adjusted regression discontinuity design