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229 IZA Discussion Papers
IZA Discussion Paper No. 13776
COVID-19 and the Future of US Fertility: What Can We Learn from Google?
Joshua Wilde, Wei Chen, Sophie Lohmann
IZA Discussion Paper No. 13613
Two-Stage Least Squares Random Forests with an Application to Angrist and Evans (1998)
Martin Biewen, Philipp Kugler
shorter version published in: Economics Letters, 2021, 204, 109893
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. 13574
Social Learning along International Migrant Networks
Yuan Tian, Maria Esther Caballero, Brian K. Kovak
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
published as 'Does Ageist Language in Job Ads Predict Age Discrimination in Hiring?' in: Journal of Labor Economics, 2022, 40 (3), 613-667.
IZA Discussion Paper No. 13129
The Effect of Labor Market Conditions at Entry on Workers' Long-Term Skills
Jaime Arellano-Bover
published in: Review of Economics and Statistics, 2022, 104(5), 1028-1045
IZA Discussion Paper No. 13099
Using Machine Learning to Predict Nosocomial Infections and Medical Accidents in a NICU
Marc Beltempo, Georges Bresson, Guy Lacroix
published in: Health & Technology, 2023, 13, 75–87
IZA Discussion Paper No. 13080
Isolating the 'Tech' from EdTech: Experimental Evidence on Computer Assisted Learning in China
Robert W. Fairlie, Prashant Loyalka, Scott Rozelle, Yue Ma
published in: Economic Development and Cultural Change, 2024, 72 (4), 1923–1962
IZA Discussion Paper No. 13080
Isolating the 'Tech' from EdTech: Experimental Evidence on Computer Assisted Learning in China
Robert W. Fairlie, Prashant Loyalka, Scott Rozelle, Yue Ma
published in: Economic Development and Cultural Change, 2024, 72 (4), 1923–1962
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. 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. 12989
Efficient Targeting in Childhood Interventions
Alexander Paul, Dorthe Bleses, Michael Rosholm
published online in: Journal of Human Resources, 06 September 2023
IZA Discussion Paper No. 12953
Signaling and Employer Learning with Instruments
Gaurab Aryal, Manudeep Bhuller, Fabian Lange
published in: American Economic Review, 2022, 112 (5), 1669-1702
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. 12826
Is 'First in Family' a Good Indicator for Widening University Participation?
Anna Adamecz, Morag Henderson, Nikki Shure
published in: Economics of Education Review, 2020, 78, 102038.
IZA Discussion Paper No. 12708
'O Youth and Beauty:' Children's Looks and Children's Cognitive Development
Daniel S. Hamermesh, Rachel A. Gordon, Robert Crosnoe
published in: Journal of Economic Behavior and Organization, 2023, 212, 275–289
IZA Discussion Paper No. 12543
Instruction Time, Information, and Student Achievement: Evidence from a Field Experiment
Simon Calmar Andersen, Thorbjørn Sejr Guul, Maria Knoth Humlum
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. 12509
Immigration and the Evolution of Local Cultural Norms
Sophia Schmitz, Felix Weinhardt
An updated version of this paper is available as IZA DP No. 16428.
IZA Discussion Paper No. 12508
One Step at a Time: Does Gradualism Build Coordination?
Maoliang Ye, Jie Zheng, Plamen Nikolov, Samuel Asher
published in: Management Science, 2019, 66 (1), 113-129.
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