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 more than 17,000 papers, IZA's publication flagship is the most influential working paper series in labor economics.

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29 IZA Discussion Papers
IZA Discussion Paper No. 3387
Sources of Earnings Instability: Estimates from an On-the-Job Search Model of the U.S. Labor Market
Luca Flabbi, Marco Leonardi
published in: European Economic Review, 2010, 54 (6), 832-854
IZA Discussion Paper No. 3219
International Job Search: Mexicans In and Out of the US
Silvio Rendon, Alfredo Cuecuecha
published in: Review of Economics of the Household, 2010, 8 (1), 53-82
IZA Discussion Paper No. 3045
Structural Estimation of Search Intensity: Do Non-Employed Workers Search Enough?
Pieter A. Gautier, José L. Moraga-González, Ronald P. Wolthoff
published in: European Economic Review, 2016, 84, 123-139
IZA Discussion Paper No. 2780
The Rate of Learning-by-Doing: Estimates from a Search-Matching Model
Julien Prat
published in: Journal of Applied Econometrics, 2010, 25 (6), 929-962
IZA Discussion Paper No. 2006
On-the-Job Search, Productivity Shocks and the Individual Earnings Process
Fabien Postel-Vinay, Hélène Turon
published in: International Economic Review, 2010, 51 (3), 599 - 629
IZA Discussion Paper No. 1764
Gender Discrimination Estimation in a Search Model with Matching and Bargaining
Luca Flabbi
published in: International Economic Review, 2010, 51(3), 745-783
IZA Discussion Paper No. 1176
Labor Market Prospects, Search Intensity and the Transition from College to Work
Bas van der Klaauw, Aico van Vuuren, Peter Berkhout
published in: European Economic Review, 2010, 54 (2), 294-316
IZA Discussion Paper No. 997
Job Search and Hyperbolic Discounting: Structural Estimation and Policy Evaluation
M. Daniele Paserman
published in: Economic Journal, 2008, 118 (531), 1418–1452
IZA Discussion Paper No. 807
Testing for Employee Discrimination Using Matched Employer-Employee Data: Theory and Evidence
Paul Frijters, Michael A. Shields, Nikolaos Theodoropoulos, Stephen Wheatley Price
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