A new methodology that estimates attitudes semiparametrically and estimates actions nonparametrically, as a function of the resulting attitudinal measures, is used to examine the behavioral effects of ѣultural' and ѥconomic' preferences in the Presidential elections of 1984 and 1992. The...

This paper (i) formalizes conditions under which a population distribution of categorical responses to attitudinal questions (Ñ©temsÒ© has a scale representation; (ii) develops tests for whether a particular sample of item responses is consistent with a scale representation; (iii) develops...

<p><p><p>We model attitudes as latent variables that induce stochastic dominance relations in (item) responses. Observable characteristics that affect attitudes can be incorporated into the analysis to improve the measurement of the attitudes; the measurements are posterior distributions that condition...</p></p></p>

The authors formulate a simultaneous-equation model to explain the wages, output, education, and quit propensities of a sample of production workers. Their principal finding is that individuals that choose more education than they would expect from their observed characteristics have lower than...

This paper explores the identifiability of ratios of derivatives of the index function in a model of a duration process in which the impact of covariates on the hazard function passes through a single index. The model allows duration and the index to appear in a nonseparable form in the hazard...

In additive error models with a discrete endogenous variable identification cannot be achieved under a marginal covariation condition when the support of instruments is sparse relative to the support of the endogenous variable. An iterated covariation condition with a weak montonicity...

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In this paper, we study a random‐coefficients model for a binary outcome. We allow for the possibility that some or even all of the explanatory variables are arbitrarily correlated with the random coefficients, thus permitting endogeneity. We assume the existence of observed instrumental...

We compare nonparametric instrumental variables (IV) models with linear models and 2SLS methods when dependent variables are discrete. A 2SLS method can deliver a consistent estimator of a Local Average Treatment Effect but is not informative about other treatment effect parameters. The IV...