Bibliographic Metadata

Title
Peer effect estimation through a covariate-adjusted regression discontinuity design / Simon Zuzek
AuthorZuzek, Simon
CensorPelenis, Justinas
PublishedWien, 2017
Description28 Blätter : Illustrationen
Institutional NoteTechnische Universität Wien, Masterarbeit, 2017
LanguageEnglish
Document typeMaster Thesis
Keywords (EN)Regression Discontinuity Design / Peer effects / Covariate-adjustment / labor market network / coworker effects
URNurn:nbn:at:at-ubtuw:1-100548 Persistent Identifier (URN)
Restriction-Information
 The work is publicly available
Files
Peer effect estimation through a covariate-adjusted regression discontinuity design [0.55 mb]
Links
Reference
Classification
Abstract (English)

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.

Stats
The PDF-Document has been downloaded 23 times.