This study analyzes Chinese consumer behavior across different retail food store formats and how household demographics affect shopping behavior. A multivariate probit model with four categories of retail food store formats (wet markets, small grocery stores, super markets, and hypermarkets) in Qingdao, China is estimated. The results indicate that the new hypermarkets are substitutes for super...

GENDER AND RACIAL DISCRIMINATION IN PAY AND PROMOTION FOR NHS NURSES For many years the NHS has been subject to allegations that gender and racial discrimination are a feature of the internal labour market for qualified nurses. This paper examines this issue with regard to the promotion process using 1994 survey data. We start by rejecting the assumption of covariate exogeneity inherent in the ...

This paper generalizes the normal probit model of dichotomous choice by introducing mixtures of normals distributions for the disturbance term. By mixing on both the mean and variance parameters and by increasing the number of distributions in the mixture these models effectively remove the normality assumption and are much closer to semiparametric models. When a Bayesian approach is taken, the...

Regression via ordinary least squares (OLS) is a commonly applied statistical technique in political science. However, when the dependent variable is dichotomous (0-1) rather than continuous, ordinary least squares becomes an inefficient estimation technique, and the underlying linear probability model (LPM) that is being estimated represents a poor apriori choice of model specification (Aldric...

Sizes of datasets used in IS research are growing quickly due to data available from digital technologies such as mobile, RFID, sensors, online markets, and more. It is not uncommon to see studies using tens and hundreds of thousands or even millions of records. Linear regression is among the most popular statistical model in social sciences research. Linear probability models, which are linear...

An ordered probit regression model estimated using 15 years’ data is used to model English league football match results. As well as past match results data, the significance of the match for end-ofseason league outcomes; the involvement of the teams in cup competition; the geographical distance between the two teams’ home towns; and the average attendances of the two teams all contribute to th...

asymmetric information in iran’s insurance market: case study for automobile insurance in iran insurance companythis research aims to test the presence of asymmetric information by using the dynamic information of automobile policyholders in the iran insurance company (iic). the conditional independence test is conducted by bivariate probit model, the dynamic properties which are presented for ...