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 14,000 papers, IZA's publication flagship is the most influential working paper series in labor economics. 

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22 IZA Discussion Papers
IZA Discussion Paper No. 14392
Urban Economics in a Historical Perspective: Recovering Data with Machine Learning
Pierre-Philippe Combes, Laurent Gobillon, Yanos Zylberberg
IZA Discussion Paper No. 14377
Using Machine Learning to Create an Early Warning System for Welfare Recipients
Dario Sansone, Anna Zhu
IZA Discussion Paper No. 14259
The Effect of Sport in Online Dating: Evidence from Causal Machine Learning
Daniel Boller, Michael Lechner, Gabriel Okasa
IZA Discussion Paper No. 14128
The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?
Anthony Strittmatter, Conny Wunsch
IZA Discussion Paper No. 13884
Measuring Financial Wellbeing with Self-Reported and Bank-Record Data
Carole Comerton-Forde, John de New, Nicolás Salamanca, David C. Ribar, Andrea Nicastro, James Ross
IZA Discussion Paper No. 13613
Two-Stage Least Squares Random Forests with an Application to Angrist and Evans (1998)
Martin Biewen, Philipp Kugler
IZA Discussion Paper No. 13582
The Role of Beliefs in Long Sickness Absence: Experimental Evidence from a Psychological Intervention
Gabriel Pons Rotger, Michael Rosholm
IZA Discussion Paper No. 13506
Older Workers Need Not Apply? Ageist Language in Job Ads and Age Discrimination in Hiring
Ian Burn, Patrick Button, Luis Munguia Corella, David Neumark
IZA Discussion Paper No. 13099
Using Machine Learning to Predict Nosocomial Infections and Medical Accidents in a NICU
Marc Beltempo, Georges Bresson, Guy Lacroix
IZA Discussion Paper No. 13051
Double Machine Learning Based Program Evaluation under Unconfoundedness
Michael C. Knaus
IZA Discussion Paper No. 12989
Efficient Targeting in Childhood Interventions
Alexander Paul, Dorthe Bleses, Michael Rosholm
IZA Discussion Paper No. 12875
Priority to Unemployed Immigrants? A Causal Machine Learning Evaluation of Training in Belgium
Bart Cockx, Michael Lechner, Joost Bollens
IZA Discussion Paper No. 12826
Is 'First in Family' a Good Indicator for Widening University Participation?
Anna Adamecz-Völgyi, Morag Henderson, Nikki Shure
IZA Discussion Paper No. 12526
Does the Estimation of the Propensity Score by Machine Learning Improve Matching Estimation? The Case of Germany's Programmes for Long Term Unemployed
Daniel Goller, Michael Lechner, Andreas Moczall, Joachim Wolff
IZA Discussion Paper No. 12290
Opting out of Workers' Compensation: Non-Subscription in Texas and Its Effects
Lu Jinks, Thomas J. Kniesner, John D. Leeth, Anthony T. Lo Sasso
published in: Journal of Risk and Uncertainty, 2020, 60(1), 53-76
IZA Discussion Paper No. 12242
New Digital Technologies and Heterogeneous Employment and Wage Dynamics in the United States: Evidence from Individual-Level Data
Frank M. Fossen, Alina Sorgner
IZA Discussion Paper No. 12040
Modified Causal Forests for Estimating Heterogeneous Causal Effects
Michael Lechner
IZA Discussion Paper No. 12039
Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence
Michael C. Knaus, Michael Lechner, Anthony Strittmatter
forthcoming in: The Econometrics Journal
IZA Discussion Paper No. 11741
What Do Parents Value in a Child Care Provider? Evidence from Yelp Consumer Reviews
Chris M. Herbst, Kevin C. Desouza, Saud Alashri, Srinivasa Srivatsav Kandala, Mayank Khullar, Vikash Bajaj
IZA Discussion Paper No. 11738
Occupational Classifications: A Machine Learning Approach
Akina Ikudo, Julia Lane, Joseph Staudt, Bruce A. Weinberg
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