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Instrumental variables methods for the correlated random coefficient model : estimating the average rate of return to schooling when the return is correlated with schooling

Heckman, James J.; Vytlacil, Edward - In: Journal of human resources : JHR 33 (1998) 4, pp. 974-987

Persistent link: https://www.econbiz.de/10001256149

Identifying the role of cognitive ability in explaining the level of and change in the return to schooling

Heckman, James J.; Vytlacil, Edward - In: The review of economics and statistics 83 (2001) 1, pp. 1-12

Persistent link: https://www.econbiz.de/10001562947

Local instrumental variables

Heckman, James J.; Vytlacil, Edward - In: Nonlinear statistical modeling : proceedings of the …, (pp. 1-46). 2000

Persistent link: https://www.econbiz.de/10001586817

Policy-relevant treatment effects

Heckman, James J.; Vytlacil, Edward - In: The American economic review 91 (2001) 2, pp. 107-111

Persistent link: https://www.econbiz.de/10001585051

Evaluating marginal policy changes and the average effect of treatment for individuals at the margin

Carneiro, Pedro; Heckman, James J.; Vytlacil, Edward - 2009

This paper develops methods for evaluating marginal policy changes. We characterize how the effects of marginal policy changes depend on the direction of the policy change, and show that marginal policy effects are fundamentally easier to identify and to estimate than conventional treatment...

Persistent link: https://www.econbiz.de/10003879358

Instrumental variables in models with multiple outcomes : the general unordered case

Heckman, James J. (contributor); Urzua, Sergio (contributor) - 2008

This paper develops the method of local instrumental variables for models with multiple, unordered treatments when treatment choice is determined by a nonparametric version of the multinomial choice model. Responses to interventions are permitted to be heterogeneous in a general way and agents...