This paper empirically assesses the relative role of health plan prices, service quality and optional benefits in the decision to choose a health plan. We link representative German SOEP panel data from 2007 to 2010 to (i) health plan service quality indicators, (ii) measures of voluntary benefit provision on top of federally mandated benefits, and (iii) health plan prices for almost all German...

This study analyzes consumer purchasing behavior of organic fresh fruits and vegetables using the 2006 Nielsen Homescan panel. An ordered logit model was estimated to quantify the impacts of economic and socio-demographic factors on the probability of a household belonging to a specific organic user group—devoted, casual, or nonuser. Results suggest that price and income, to some extent, affect...

A multinomial logit model of residence and job change is developed and estimated using U.S. data from the Michigan Panel Study of Income Dynamics. It is found that both housing demand and job search characteristics are significant determinants of the decision to migrate and that both equilibrium and disequilibrium forces induce migration and job change. In addition, "the data do not appear to...

A new approach for analyzing state duration data in brand-choice studies is explored. This approach not only incorporates the correlation among repeated purchases for a subject, it also models the purchase timing and the brand decision jointly. The former is accomplished by applying transition model approaches from longitudinal studies while the latter is done by conditioning on the brand choic...

Relatively little research has been devoted to studying self-employment among older workers although they make up a disproportionate share of the self-employed workforce. This study uses 5 waves of panel data from the Health and Retirement Study to investigate the determinants of labor force transitions to self-employment at older ages. We estimate a multinomial logit model of transitions from ...

This paper develops an air passenger model that deals with city-pair demand generation and demand assignment in a single framework. Using publicly available and regularly collected panel data, the model captures both time series and cross-sectional variation of air travel demand. The empirical analysis finds that pattern of correlations among alternatives can be described by a three-level neste...

This article discusses the use of Bayesian methods for estimating logit demand models using aggregate data. We analyze two different demand systems: independent samples and consumer panel. Under the first system, there is a different and independent random sample of N consumers in each period and each consumer makes only a single purchase decision. Under the second system, the same N consumers ...

I propose a method that aims to learn if and how the effects of predictors depend on moderating variables. The algorithm presented is based on the two-stage cumulative logit mixed model and it builds piecewise constant fixed coefficient functions. Moreover, it is scalable for many moderators of possibly mixed scales, integrates interactions between moderators and can handle nonlinearities. The ...

The generalized nested logit model is a new member of the generalized extreme value family of models. The GNL provides a higher degree of flexibility in the estimation of substitution or cross-elasticity between pairs of alternatives than previously developed generalized extreme value models. The generalized nested logit model includes the paired combinatorial logit and cross-nested logit model...