This paper develops maximum score estimation of preference parameters in the binary choice model under uncertainty in which the decision rule is affected by conditional expectations. The preference parameters are estimated in two stages: we estimate conditional expectations nonparametrically in...

In the paper, we test the effect of local development, regional and local policies on the location decisions and productivity of firms. Development indicators include local research and development activity or education while policy decisions used in this study encompass for example tax rates,...

In discrete choice models the marginal effect of a variable of interest that is interacted with another variable differs from the marginal effect of a variable that is not interacted with any variable. The magnitude of the interaction effect is also not equal to the marginal effect of the...

This paper analyzes the higher-order properties of nested pseudo-likelihood (NPL) estimators and their practical implementation for parametric discrete Markov decision models in which the probability distribution is defined as a fixed point. We propose a new NPL estimator that can achieve...

Background How to communicate uncertainty is a major concern in medicine and in health economics. We aimed at studying the framing effects of risk communication on stated preferences in a discrete choice experiment (DCE) performed to elicit women's preferences for Hormone Replacement Therapy....

Discrete choice models of household location assume local public finance variables remain the same within a given taxing jurisdiction. Thus far, no such model has tested the validity of this assumption. This study employs McFadden's (1978, 2001) discrete choice model to test for the significance...

The random utility model (RUM, McFadden and Richter (1990)) has been the standard tool to describe the behavior of a population of decision makers. RUM assumes that decision makers behave as if they maximize a rational preference over a choice set. This assumption may fail when consideration of...

We investigate the sensitivity of consumer surplus estimates to parametric assumptions on individual preference heterogeneity in a discrete choice framework. We compare results from a parametric random coefficients logit model and a recently proposed nonparametric sieve estimator. In particular,...

This paper considers the estimation problem of structural models for which empirical restrictions are characterized by a fixed point constraint, such as structural dynamic discrete choice models or models of dynamic games. We analyze the conditions under which the nested pseudo-likelihood (NPL)...