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...

Non-responses leading to missing data are common in most studies and causes inefficient biased statistical inferences if ignored. When faced with data, many choose employ complete case analysis approach estimate the parameters of model. This however compromises on susceptibility estimates reduced bias minimum variance as expected. Several classical model based techniques imputing values have be...

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...

Many observational studies have shown an association between income and health. However, much less research has assessed how changes in income influence health over time. This could help illuminate the issue of whether income is causally related to health, if longitudinal survey data were analysed with methods to account for bias from both measured and unmeasured time-invariant confounders. The...

Abstract Logit Model is an important method for empirical analysis of multi-source data. In order to explore the traffic safety mechanism, The Paper taked behavior data as example, researched personal characteristics truck drivers, Analyzed influence driver’s traits on violations. Based binary logistics regression model, model violations was established. results show that personality, license l...

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...

This paper empirically assesses the relative role of health plan prices, service quality and optional benefi ts 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 benefi t provision on top of federally mandated benefi ts, and (iii) health plan prices for almost all Ger...