Jochen Kluve
Economics and Econometrics · 2002–2019
A researcher in the Science corpus: 13 papers; trusts 51 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 126 citations into it; #3,274 of 23,481 by trust here, #2,676 by citations
- Statistics and Probability — 97 citations into it; #2,330 of 12,932 by trust here, #1,314 by citations
- Gender Studies — 30 citations into it
- General Health Professions — 25 citations into it; #4,710 of 4,781 by trust here, #1,973 by citations
- Safety Research — 23 citations into it
- Sociology and Political Science — 17 citations into it
- Demography — 16 citations into it
- Political Science and International Relations — 12 citations into it; #894 of 4,701 by trust here, #1,009 by citations
Whom Jochen Kluve trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- M. Lechner
- T. Stanley
- Richard Blundell
- Guido W. Imbens
- Donald B. Rubin
- Gerard J. van den Berg
- James J. Heckman
- B. Sianesi
- Rafael Lalive
- Paul R. Rosenbaum
Who trusts Jochen Kluve overall
- Yoonyoung Cho
- G. Betcherman
- Marco Caliendo
- M. Lechner
- Maddalena Honorati
- David J. McKenzie
- David Card
- Susana Puerto
- H. Immervoll
- J. Baker
Papers from Jochen Kluve's perspective
Ordered by how strongly the researchers Jochen Kluve trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- The central role of the propensity score in observational studies for causal effects
- Statistics and Causal Inference
- The Role of the Propensity Score in Estimating Dose-Response Functions
- Evaluating the Econometric Evaluations of Training Programs with Experimental Data
- Efficient estimation of average treatment effects using the estimated propensity score
- Empirical Strategies in Labor Economics
- Identification and Estimation of Causal Effects of Multiple Treatments Under the Conditional Independence Assumption
- [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
- On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
Their papers
- Assessing the Performance of Matching Algorithms When Selection into Treatment is Strong (2007) — 56 citations
- What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations (2015) — 909 citations
- The effectiveness of European active labor market programs (2010) — 690 citations
- Can training and employment subsidies combat European unemployment (2002) — 243 citations
- Do youth employment programs improve labor market outcomes? A quantitative review (2019) — 181 citations
- Evaluating continuous training programmes by using the generalized propensity score (2012) — 205 citations
- Interventions to Improve the Labour Market Outcomes of Youth: A Systematic Review of Training, Entrepreneurship Promotion, Employment Services and Subsidized Employment Interventions (2017) — 154 citations
- Parental leave regulations, mothers’ labor force attachment and fathers’ childcare involvement: evidence from a natural experiment (2013) — 213 citations
- Impacts of rural electrification in Rwanda (2011) — 154 citations
- Active Labor Market Policy Evaluations: A Meta-Analysis (2010) — 536 citations
- Active Labor Market Policies in Europe: Performance and Perspectives (2007) — 167 citations
- The Effectiveness of European Active Labor Market Policy (2006) — 369 citations
- Before and after the Hartz Reforms: The Performance of Active Labour Market Policy in Germany (2006) — 147 citations