The parameters of logit models are typically difficult to interpret, and the applied literature is replete with interpretive computational mistakes. In this article, I review a menu options interpret results logistic regressions correctly effectively using Stata. consider marginal effects, partial (contrasts of) predictive margins, elasticities, odds risk ratios. also show that interaction term...

Estimation of disaggregate mode choice models to estimate the ridership share on a proposed new (or improved) intercity travel service and to identify the modes from which existing intercity travelers will be diverted to the new or upgraded service constitutes a critical part of evaluating alternative travel service proposals to alleviate intercity travel congestion. This paper develops a new h...

Inspired by the interactive discrete choice logit models [Aggarwal, 2019], this paper presents the advanced families of discrete choice models, such as nested logit, mixed logit, and probit models to consider the interaction among the attributes. Besides the DM's attitudinal character is also taken into consideration in the computation of choice probabilities. The proposed choice models make us...

Residential location choices are analyzed to determine the significance of local attributes in the moving decision. A unique data set consisting of 602 recent movers in Maine is used to perform the analysis. Additionally, municipality-level data for 531 municipalities in Maine are used in the analysis. The comnlunity-level data are fiscal, social, and environmental in nature. A conditional logi...

— Caussinus’s loglinear model of quasi symmetry has interesting connections with models for within-subject effects with repeated categorical measurement. For binary responses, Tjur (1982) showed that estimates of main effect parameters in the quasi-symmetry model are also conditional maximum likelihood estimates of item parameters for a fixed effects treatment of subject terms in the Rasch item...

With a firm-level data set, we study the location decision of South Korean multinationals across China’s regions. Our conditional logit estimates confirm agglomeration effects along industry and along national lines.We add an upstream and downstream (backward and forward) linkage effect. We find that the presence of upstream and downstream South Korean affiliates significantly increases the lik...

In a study comparing the effects of two treatments, the propensity score is the probability of assignment to one treatment conditional on a subject's measured baseline covariates. Propensity-score matching is increasingly being used to estimate the effects of exposures using observational data. In the most common implementation of propensity-score matching, pairs of treated and untreated subjec...

BACKGROUND/AIMS The Korean government has expanded the coverage of the national insurance scheme for four major diseases: cancers, cardiovascular diseases, cerebrovascular diseases, and rare diseases. This policy may have a detrimental effect on the budget of the national health insurance agency. Like taxes, national insurance premiums are levied on the basis of the income or wealth of the insu...

The main feature of the CoIL challenge data is that the observed response is discrete: we only observe whether or not the customers buy caravan insurance. Models for such data were developed in the 1940s and 1950s in the Bio-statistics literature (see references in Cox and Snell, 1989), in particular LOGIT and PROBIT. In the 1970s such techniques became popular in Economics, where a utility max...