This talk considers the special case of binomial data where repeated measurements are available for identical covariate patterns. Our method is based on various Bayesian approaches for estimating binary logit models. To carry out MCMC sampling with data augmentation, logit models are rewritten as random utility models (RUM) or difference RUM (dRUM). Following earlier papers (Frühwirth-Schnatter...

February 19, 2015 Type Package Title Nonparametric spatial data analysis Version 2.0 Date 2013-5-20 Author Daniel McMillen Maintainer Daniel McMillen Description Locally weighted regression, semiparametric and conditionally parametric regression, fourier and cubic spline functions, GMM and linearized spatial logit and probit, k-density functions and counterfactuals, nonp...

This paper studies the role of online ratings for the choice of multihoming on third-party O2O platforms. Specifically, the work investigates the main effect of online ratings and its interaction with operation duration and the number of screens. An ordered logit model is employed with a sample of 1902 cinemas multihoming on O2O platforms. The findings show that online ratings have significantl...

The main purpose of this article is to introduce a new class regression models for bounded continuous data, commonly encountered in applied research. models, named the power logit assume that response variable follows distribution wide, flexible distributions with three parameters, namely, median, dispersion parameter and skewness parameter. offers comprehensive set tools likelihood inference d...

Despite the ordinal nature of Self-Rated Health (SRH) variable, logistic regression models or regression models have been used without adequate justification for these applications. It is shown that ordered-logit regression model is the appropriate statistical strategy to estimate SRH, whereas the Ordinary LeastSquares model leads to biased conclusions.

Balance-sheet data offer a potentially large number of candidate predictors of corporate financial failure. In this paper we provide a novel predictor selection procedure based on non-parametric regression and classification tree method (CART) and test its performance within a standard logit model. We show that a simple logit model with dummy variables created in accordance with the nodes of es...

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The study analyzed farm households’ access and utilization of government health facilities in Kogi State, Nigeria. Specifically, it described the socioeconomic characteristics of farm households, determined the level of accessibility to health facilities by farm households, and determined the factors that drive farm households’ utilization of government health facilities. A two staged random sa...