%0 Report
        %A Heckman, James J.
%A Pinto, Rodrigo
        %T Unordered Monotonicity
        %D 2017
        %8 2017 Jun
        %I Institute of Labor Economics (IZA)
        %C Bonn
        %7 IZA Discussion Paper
        %N 10821
        %U https://www.iza.org/publications/dp10821
        %X This paper presents a new monotonicity condition for unordered discrete choice models with multiple treatments. Unlike a less general version of monotonicity in binary and ordered choice models, monotonicity in unordered discrete choice models along with other standard assumptions does not necessarily identify causal effects defined by variation in instruments, although in some cases it does. 
Our condition implies and is implied by additive separability of the choice equations in terms of observables and unobservables. These results follow from properties of binary matrices developed in this paper. We investigate conditions under which Unordered Monotonicity arises as a consequence of choice behavior. We represent IV estimators of counterfactuals as solutions to discrete mixture problems.

        %K Generalized Roy Model
%K revealed preference
%K monotonicity
%K instrumental variables
%K selection bias
%K identification
%K binary matrices
%K discrete choice
%K discrete mixtures