Recent research shows that the dramatic rise in obesity in the United States is due more to the overconsumption of unhealthy foods than underactivity. This study tests for an addiction to food nutrients as a potential explanation for the apparent excessive consumption. A random coefficients (mixed) logit model is used to test a multivariate rational addiction model. The results reveal a particu...

This paper investigates factors likely to increase a person’s risk of social exclusion, drawing on survey data specifically framed for this purpose. We use a generalised ordered logit model that accounts for observed and unobserved heterogeneity and derive the marginal effects for each influencing attribute. We find that people are less likely to be at risk of social exclusion if they have regu...

Immigrant flows to Spain have increased in the last decade, but little is known about the composition and role of personal support networks of immigrants to Spain. Our research questions are 1) to what extent are Spaniards, (more settled Spanish residents) present in an immigrants’ network, compared with non-Spaniards, such as other recent immigrants? 2) Which factors are associated with ties b...

Modelling repeated ordinal score data is a common statistical problem, across many application areas. The proportional-odds model is widely applied to such repeated ordinal scores and can be fitted in the repolr package (repeated measures proportional odds logistic regression) in R using the method of generalized estimating equations (GEE). The GEE approach specifies a model for the mean of the...

This paper explores the relationship between author-level bibliometric indicators and the researchers they “measure”, exemplified across five academic seniorities and four academic domains. Using cluster methodology, the disciplinary and seniority appropriateness of author-level indicators is examined. Publication and citation data for 741 researchers across Astronomy, Environmental Science, Ph...

In this paper we consider a retailer's product line selection and pricing problem. We use a consumer choice model in which individuals have stochastic utility for each product and act to maximize their consumer surplus. We consider three basic problems: (1) A retailer who has a current product line with xed prices and who is considering the addition of a new model to the product line. The retai...

This paper proposes a forecasting method for court auction information system using logistic regression model with heterogeneity across the multiple round. The goal is to predict whether an individual auction item in a certain round will be sold or not. A simple linear regression and the least angle regression (LARS) containing random effect terms were used to select meaningful variables for ou...

Understanding land-expropriated farmers’ welfare change and the determinants of their willingness to change is very important for sustainable urbanization and social stability in developing countries. However, this issue has been seldom explored in previous studies, especially in China. This paper aims to enrich this field by conducting an empirical study using a household survey in 2014 in Nan...

Parking policy is an important component of contemporary travel demand management policies. The effectiveness of many parking policy measures depends on influencing parking type choice, so that understanding the factors affecting these choices is of considerable practical importance. Yet, academic interest in this issue has been, at best, intermittent. This paper reports the results of an analy...

The mixed logit model is considered to be the most promising state of the art discrete choice model currently available. Increasingly researchers and practitioners are estimating mixed logit models of various degrees of sophistication with mixtures of revealed preference and stated preference data. It is timely to review progress in model estimation since the learning curve is steep and the unw...