Document Type
Discussion Paper
Publication Date
10-1-1990
CFDP Number
957
CFDP Pages
35
Abstract
This paper introduces a semiparametric method of estimating multinomial models that imposes extremely weak monotonicity assumptions about a function of observable characteristics. Previous methods have imposed stronger, typically parametric, conditions on this function. The only assumptions made in this paper about the function of characteristics are its monotonicity, upper-semicontinuity, and uniform boundedness. The method is applicable, among others, to polychotomous choice models. The estimation method is shown to be strongly consistent. A technique to calculate the estimator is provided.
Recommended Citation
Matzkin, Rosa L., "Estimation of Multinomial Models Using Weak Monotonicity Assumptions" (1990). Cowles Foundation Discussion Papers. 1200.
https://elischolar.library.yale.edu/cowles-discussion-paper-series/1200