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.

a r t i c l e i n f o Modeling of transportation mode choices has in the past primarily dealt with everyday short-distance travel and long-distance business travel. The present paper adds to this research in examining the long-distance transportation mode choices of tourists. The empirical setting is the domestic tourism market in Norway, and the analyses refer to Norwegians' winter vacation tr...

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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