The IZA Discussion Paper Series (ISSN: 2365-9793) disseminates high-quality research by IZA network members to the scientific community and the interested public worldwide before they are later published in academic journals. Comprising over 16,000 papers, IZA's publication flagship is the most influential working paper series in labor economics.

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9 IZA Discussion Papers
IZA Discussion Paper No. 15314
Regime and Treatment Effects in Duration Models: Decomposing Expectation and Transplant Effects on the Kidney Waitlist
Stephen Kastoryano
IZA Discussion Paper No. 12839
Understanding Program Complementarities: Estimating the Dynamic Effects of a Training Program with Multiple Alternatives
Antonio Dalla-Zuanna, Kai Liu
IZA Discussion Paper No. 9692
The Effectiveness of Medical and Vocational Interventions for Reducing Sick Leave of Self-Employed Workers
Stijn Baert, Bas van der Klaauw, Gijsbert van Lomwel
revised version published in: Health Economics, 2018, 27 (3), e139 - e152
IZA Discussion Paper No. 9617
Opening the Blackbox: How Does Labor Market Policy Affect the Job Seekers' Behavior? A Field Experiment
Patrick Arni
IZA Discussion Paper No. 4638
Quick Job Entry or Long-Term Human Capital Development? The Dynamic Effects of Alternative Training Schemes
Aderonke Osikominu
revised version published in: Review of Economic Studies, 2013, 80 (1), 313-342
IZA Discussion Paper No. 3882
Estimating Complementarity between Education and Training
Christian Belzil, Jörgen Hansen, Nicolai Kristensen
IZA Discussion Paper No. 2885
Which Program for Whom? Evidence on the Comparative Effectiveness of Public Sponsored Training Programs in Germany
Martin Biewen, Bernd Fitzenberger, Aderonke Osikominu, Marie Waller
substantially revised version published in: Journal of Labor Economics, 2014, 32 (4), 837-897
IZA Discussion Paper No. 1790
Dynamic Discrete Choice and Dynamic Treatment Effects
James J. Heckman, Salvador Navarro
published in: Journal of Econometrics, 2007, 136 (2), 341-396
IZA Discussion Paper No. 1042
Sequential Matching Estimation of Dynamic Causal Models
Michael Lechner
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