Estimating Marginal Treatment Effects in Heterogeneous Populations
By Robert A. Moffitt. 2008
70 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/fe37ce9c427e77ff22de7eaa20056b15baa2ed54
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Pedro Carneiro
- S. Lee
- Victor Chernozhukov
- Xiaohong Chen
- Joel L. Horowitz
- D. Chetverikov
- Liangjun Su
- Demian Pouzo
Citations in the corpus
- Using Instrumental Variables for Inference About Policy Relevant Treatment Effects (2018, unknown): “Polynomials are widely used as a parameterization in empirical work using MTEs (Moffitt, 2008; French and Song, 2014; Brinch et al., 2017), but our method allows for other parameterizations as well.”
- Trends in Quality-Adjusted Skill Premia in the United States, 1960-2000 (2009, background): “For example, see Carneiro et al. (2007) and Moffitt (2008).”
- Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality (2009, unknown): “Moffitt (2008) proposed a nonparametric series estimation method of estimating marginal treatment effects in heterogeneous populations.”