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.

Submission guidelines for authors

Subscribe to new paper alerts

Search by:

Please provide a valid Search.
Search tips
Wildcard

The character * can be used as a wildcard. For example: *berg

Filter

Type
Type
9 IZA Discussion Papers
IZA Discussion Paper No. 15580
Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments
Phillip Heiler, Michael C. Knaus
IZA Discussion Paper No. 15378
Sitting Next to a Dropout: Academic Success of Students with More Educated Peers
Daniel Goller, Andrea Diem, Stefan C. Wolter
published in: Economics of Education Review, 2023, 93, 102372
IZA Discussion Paper No. 15192
Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment
Augustine Denteh, Helge Liebert
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. 13051
Double Machine Learning Based Program Evaluation under Unconfoundedness
Michael C. Knaus
published in: Econometrics Journal, 2022, 25 (3), 602-627
IZA Discussion Paper No. 12875
Priority to Unemployed Immigrants? A Causal Machine Learning Evaluation of Training in Belgium
Bart Cockx, Michael Lechner, Joost Bollens
published in: Labour Economics, 2023, 80, 102306
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
published in: Labour Economics, 2020, 65, 101855
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
published in: Econometrics Journal, 2021, 24 (1), 134-161
Type
Display
20 50 100
Type