We consider cross-validation strategies for the SNP nonparametric density estimator, which is a truncation (or sieve) estimator based upon a Hermite series expansion. Our main focus is on the use of SNP density estimators as an adjunct to EMM structural estimation. It is known that for this...

The goal of this paper is to analyze consumer demand in markets with large price uncertainty. We develop a demand model for goods that are subject to habit formation. We show that consumption plans of forward looking individuals depend not only on preferences and current period prices, but also...

Consumption of addictive goods is subject to habit formation. Forward-looking individuals must, therefore, be concerned about future prices when making current consumption decisions. We study prices for tobacco products based on a unique data set provided by the Bureau of Labor Statistics. Our...

In this paper, we derive nonparametric average difference estimators. We show that this estimator is consistent and root-$N$ asymptotically normally distributed. Furthermore, the average difference estimator converges to the well-known average derivative estimator as the increment used to...

We develop a demand model for goods that are subject to habit formation. We show that consumption plans of forward looking individuals depend on preferences, current period prices, and individual beliefs about the evolution of future prices. Moreover, an increase in price uncertainty reduces...

The purpose of this paper is to explore and evaluate smooth approximation methods for value functions. These approximation methods are increasingly important in numerical dynamic programming since they allow researchers to solve models with a multitude of continuous state variables. In this...

We develop a demand model for goods that are subject to habit formation. We show that consumption plans of forward-looking individuals depend on preferences, current period prices, and individual beliefs about the evolution of future prices. Moreover, an increase in price uncertainty reduces...