Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach

Michael C. Knaus; Michael Lechner; Anthony Strittmatter

doi:10.3368/jhr.57.2.0718-9615R1

Research ArticleArticle

Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach

Michael C. Knaus, Michael Lechner and Anthony Strittmatter

Published online before print March 26, 2020, 0718-9615R1; DOI: https://doi.org/10.3368/jhr.57.2.0718-9615R1

Michael C. Knaus

†Michael C. Knaus assistant professor of econometrics at the University St. Gallen and is also affiliated with IZA, Bonn. Email:

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For correspondence: [email protected]

Michael Lechner

‡Michael Lechner is full professor of econometrics at the University St. Gallen and is also affiliated with CEPR, London, CESIfo, Munich, IAB, Nuremberg, and IZA, Bonn. Email:

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For correspondence: [email protected]

Anthony Strittmatter

*Anthony Strittmatter is assistant professor of econometrics at the University St. Gallen. Email:

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For correspondence: [email protected]

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Journal of Human Resources

Vol. 60, Issue 1

1 Jan 2025

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Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach

Michael C. Knaus, Michael Lechner, Anthony Strittmatter

Journal of Human Resources Mar 2020, 0718-9615R1; DOI: 10.3368/jhr.57.2.0718-9615R1

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Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach

Michael C. Knaus, Michael Lechner, Anthony Strittmatter

Journal of Human Resources Mar 2020, 0718-9615R1; DOI: 10.3368/jhr.57.2.0718-9615R1

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Keywords

Causal machine learning
individualized treatment effects
conditional average treatment effects
active labour market policy
J68
H43
C21

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