The DOI matches its Crossref record.
Are Training Programs More Effective When Unemployment Is High?
Open accessAbstract
We estimate short‐run, medium‐run, and long‐run individual labor market effects of training programs for the unemployed by following program participation on a monthly basis over a 10‐year period. Since analyzing the effectiveness of training over such a long period is impossible with experimental data, we use an administrative database compiled for evaluating German training programs. Based on matching estimation adapted to address the various issues that arise in this particular context, we find a clear positive relation between the effectiveness of the programs and the unemployment rate over time.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations
Card, D., Kluve, J., & Weber, A. (2018) · Journal of the European Economic Association · doi:10.1093/jeea/jvx028 · Cited by 990
The effectiveness of European active labor market programs
Kluve, J. (2010) · Labour Economics · doi:10.1016/j.labeco.2010.02.004 · Cited by 712
What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations
Card, D., Kluve, J., & Weber, A. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2706536 · Cited by 269
What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations
Card, D., Kluve, J., & Weber, A. (2015) · doi:10.3386/w21431 · Cited by 136
Mozart or Pelé? The effects of adolescents' participation in music and sports
Cabane, C., Hille, A., & Lechner, M. (2016) · Labour Economics · doi:10.1016/j.labeco.2016.05.012 · Cited by 51
Self-citation
Metadata
- Authors
- Lechner, M., & Wunsch, C.
- Venue
- Journal of Labor Economics
- Publisher
- University of Chicago Press
- Published
- 2009-10
- Volume
- 27
- Issue
- 4
- Pages
- 653-692
- ISSN
- 0734-306X (ISSN-L)
- 1537-5307
- OpenAlex
- W3125746711
- Cited by
- 161
- References
- 0
- FWCI
- 31.07
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Are Training Programs More Effective When Unemployment Is High? https://app.cochat.ai/papers/10.1086/644976
- The paper
- Lechner, M., & Wunsch, C. (2009). Are Training Programs More Effective When Unemployment Is High? Journal of Labor Economics. https://doi.org/10.1086/644976
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.