Estimating Derivatives in Nonseparable Models with Limited Dependent Variables
By Joseph G. Altonji, Hidehiko Ichimura, Taisuke Otsu. 2008
47 citations recorded by the source corpus.
Subfields: Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/1a1506ecf061cf8a9364bba9b183271ef6723a90
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In Management Science and Operations Research
Citations in the corpus
- Dummy Endogenous Variables in Weakly Separable Models (2007, methodology): “1 Assume that (D,Y ) are generated according to equations (1)-(2).”
- Implementing Nonparametric and Semiparametric Estimators (2006, background): “Stone (1980, 1982) considers a model with some regularity conditions which imply: (1) t does not shift the support of h or some other aspects of the conditional distribution than the mean, (2) the effect of a change in t on the log-density is smooth (3) h is bounded away from 0 at relevant points an”
- Extended Family and Kinship Networks: Economic Insights and Evolutionary Directions (2008, methodology): “A possible reason is that Raut and Tran use the Altonji–Ichimura method for controlling for sample selection bias (Altonji and Ichimura, 2000; Altonji, Hayashi, and Kotlikoff, 1997). This estimator accounts for the inherent nonseparability between incomes and preferences in the altruism model of tra”