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Linear probability models of the demand for attributes with an empirical application to estimating the preferences of legislators

Heckman, James J.; Snyder, James M. - 1996

Persistent link: https://www.econbiz.de/10000609246

Linear Probability Models of the Demand for Attributes with an Empirical Application to Estimating the Preferences of Legislators

Heckman, James J. - 1996

This paper formulates and estimates a rigorously-justified linear probability model of binary choices over alternatives characterized by unobserved attributes. The model is applied to estimate preferences of congressmen as expressed in their votes on bills. The effective dimension of the...

Persistent link: https://www.econbiz.de/10012473048

Linear Probability Models of the Demand for Attributes with an Empirical Application to Estimating the Preferences of Legislators

Heckman, James J.; Snyder, James M. - 2022

Persistent link: https://www.econbiz.de/10013323568

Dynamic treatment effects

Heckman, James J.; Humphries, John Eric; Veramendi, Gregory - In: Journal of econometrics 191 (2016) 2, pp. 276-292

Persistent link: https://www.econbiz.de/10011610524

Linear probability models of the demand for attributes with an empirical application to estimating the preferences of legislators

Heckman, James J. - In: The Rand journal of economics 28 (1997), pp. 142-189

Persistent link: https://www.econbiz.de/10001220124

Simulation and estimation of hedonic models

Heckman, James J. - 2003

semiparametric estimation and identification of scalar additive hedonic models (Ekeland, Heckman, and Nesheim, 2002) and scalar … provide evidence on the performance of several estimation techniques. We also simulate examples of equilibria in nonadditive … models and provide evidence on the performance of the nonadditive estimation techniques developed in Heckman, Matzkin, and …

Persistent link: https://www.econbiz.de/10011509388