The A.C. Nielson household scanner panel is used to analyze factors affecting brand-size choices for spaghetti. These data link product purchases, which are scanned, with household demographics and market information on the store where purchased. A multinominal logit model and a nested logit model are specified and estimated. In addition to the effects of inventory and brand loyalty, the most i...

This paper reports the findings from a discrete choice experiment study designed to estimate the economic benefits associated with rural landscape improvements in Ireland. Using a mixed logit model, the panel nature of the dataset is exploited to retrieve willingness to pay values for every individual in the sample. This departs from customary approaches in which the willingness to pay estimate...

The paper considers panel data methods for estimating ordered logit models with individual-specific correlated unobserved heterogeneity. We show that a popular approach is inconsistent, whereas some consistent and efficient estimators are available, including minimum distance and generalized method-of-moment estimators. A Monte Carlo study reveals the good properties of an alternative estimator...

This paper describes an empirical study of the dynamics of consumer switching behavior across major Internet portal Websites. The study methodology is based on a multinomial Logit-Markov model framework that characterizes consumer switching-behavior. We propose a tractable Maximum Likelihood procedure to estimate the switching model’s parameters on the basis of online panel data. This empirical...

The determinants of transitions between di erent states of nancial distress are analyzed using two versions of Markov chain models: a multinomial logit model without random e ects and a multinomial logit model capturing such unobservable factors. The empirical analysis is based on a panel data set containing information on 15,538 East German rms founded between 1994 and 1999. The estimation res...

Logit Kernel is a discrete choice model that has both probit-like disturbances as well as an additive i.i.d. extreme value (or Gumbel) disturbance à la multinomial logit. The result is an intuitive, practical, and powerful model that combines the flexibility of probit (and more) with the tractability of logit. For this reason, logit kernel has been deemed the “model of the future” and is becomi...

In each stated choice (SC) survey, there is an underlying experimental design from which the hypothetical choice situations are determined. These designs are constructed by the analyst, with several different ways of constructing these designs having been proposed in the past. Recently, there has been a move from so-called orthogonal designs to more efficient designs. Efficient designs optimize...

New panel data estimators are proposed for logit and complementary loglog fractional regression models. The standard specifications of these models are transformed into a form of exponential regression with multiplicative individual effects and time-variant heterogeneity, from which six alternative estimators that do not require assumptions on the distribution of the unobservables are developed...

We estimate revealed willingness to pay for animal welfare using a panel mixed logit model. We utilize a unique household level panel, combining real purchases with survey data on perceived public and private good attributes of different types of eggs. We estimate willingness to pay for organic eggs controlling for trust in a positive connection between the public good animal welfare and the or...