Program Heterogeneity and Propensity Score Matching: An Application to the Evaluation of Active Labor Market Policies
By M. Lechner. Review of Economics and Statistics, 2002
524 citations recorded by the source corpus.
Subfields: Sociology and Political Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c4b23567c79a1958054c6ef121ee85fc8e20f904
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In Sociology and Political Science
- Markus Frölich
- Mingxiang Li
- M. Eliason
- Marco Caliendo
- Peter Fredriksson
- Jeffrey A. Smith
- Michael J. Lopez
- Per-Olov Johansson
In Statistics and Probability
- Marco Caliendo
- M. Lechner
- Markus Frölich
- Martin Huber
- Guido W. Imbens
- Mingxiang Li
- Alfonso Flores-Lagunes
- Carlos A Flores
Citations in the corpus
- Assessing the Impact of Crop Diversification on Farm Poverty in India (2015, background): “These include multivalued treatments (Imbens, 2000; Lechner, 2002) and continuous treatments (Hirano & Imbens, 2004; Imai & van Dyk, 2004; Imbens, 2000).”
- Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand (2006, unknown): “See discussions in Hahn (1998), Heckman, Ichimura, and Todd (1998), Hirano, Imbens, and Ridder (2003), Lechner (2002a), and others.”
- Using the Propensity Score Method to Estimate Causal Effects (2013, methodology): “, Dehejia & Wahba, 1999; Lechner, 2002). Early implementation of the PSM intended to examine whether this technique effectively reduces bias stemming from the heterogeneity of participants. Economists generally agreed that the PSM is appropriate for examining causal effects using observational data.”
- Estimation of causal effects with multiple treatments: a review and new ideas (2017, methodology): “Although a multinomial model is more intuitive, in practice, Lechner (2002) identified correlation coefficients of roughly 0.”
- Does Child Abuse Cause Crime (2006, unknown): “Once the propensity score is estimated and the balancing property is satisfied, the average treatment effect on the treated can be calculated (Leuven and Sianesi, 2003; Becker and Ichino, 2002).”
- Research on the Environmental Effect of Green Finance Policy Based on the Analysis of Pilot Zones for Green Finance Reform and Innovations (2021, background): “tual s pport test can also avoid the subset effect put forward by Lechner [24].”
- A note on endogenous control variables in causal studies (2008, background): “Such variables may contain valuable information about the selection process as considered in Rosenbaum (1984), they may be in the 'causal pathway' of the treatment, as in Rubin (2005), or they may be intermediate outcomes of a dynamic treatment not yet completed (Lechner and Miquel, 2005).”
- What Do Social Scientists Know About the Benefits of Marriage? A Review of Quantitative Methodologies (2004, unknown): “Imbens (2000) and Lechner (2001) have recently extended propensity score matching methods to examine differences in outcomes across multiple groups.”
- Limitations of Contract Farming as a Pro-poor Strategy: The Case of Maize Outgrower Schemes in Upper West Ghana (2018, methodology): “(7) Following Lechner (2002), the resulting pairwise propensity scores are 𝑃𝑃�𝑖𝑖/𝑖𝑖𝑖𝑖(𝑥𝑥) = 𝑃𝑃�𝑗𝑗(𝑥𝑥) 𝑃𝑃�𝑗𝑗(𝑥𝑥)+𝑃𝑃�𝑚𝑚(𝑥𝑥) ∀𝑚𝑚 ≠ 𝑗𝑗; 𝑗𝑗,𝑚𝑚𝑗𝑗𝑗𝑗 = {0, 1, . . .3), (8) where 𝑃𝑃�𝑖𝑖/𝑖𝑖𝑖𝑖(𝑥𝑥) is the predicted conditional propensity score of a plot under sch”
- Does knowledge diffusion between university and industry increase innovativeness? (2008, background): “…much discredited linear model of innovation v Partly at variance with Deheija and Wahba (1999), Heckman, et al.(1998), Heckman, Ichimura and Todd (1999), Lechner (2002) and Smith and Todd (2004) find that the matching estimates can be quite sensitive to the variables needed to construct P(X). vi…”
- The Impact of Public Funds on Private R&D Investment: New Evidence from a Firm Level Innovation Study ∗ (2005, background): “6 Partly at variance with Deheija and Wahba (1999), Heckman, et al. (1998), Heckman, Ichimura and Todd (1999), Lechner (2002) and Smith and Todd (2004) find that the matching estimates can be quite sensitive to the variables needed to construct P(X).”
- A Primer for Applying Propensity-Score Matching (2010, methodology): “An additional problem with bootstrapping is the intensive computer resources required to estimate them; with large samples, it is not always feasible to calculate bootstrap standard errors for all estimates (see e.g., Lechner, 2001).”
- The Effectiveness of Public-Sponsored Training Revisited: The Importance of Data and Methodological Choices (2014, unknown): “We further compare the results obtained in our benchmark approach to an alternative approach suggested by Lechner ð1999Þ.”