Many phenomena are correlated and spatially dependent. In addition, some of them ordinal discrete responses. Thus, a model is needed to capture the interactions multivariate outcomes spatial dependences. Following Smith LeSage (2004) Jeliazkov et al. (2008), this study proposes new algorithm for ordered probit (MSOP) address need. applying model, parameters calculated using Bayesian inference b...

In the current paper, we propose a new utility-consistent modeling framework to explicitly link a count data model with an event type multinomial choice model. The proposed framework uses a multinomial probit kernel for the event type choice model and introduces unobserved heterogeneity in both the count and discrete choice components. Additionally, this paper establishes important new results ...

http://www.jstor.org A Correlated Probit Model for Joint Modeling of Clustered Binary and Continuous Responses Author(s): Ralitza V. Gueorguieva and Alan Agresti Source: Journal of the American Statistical Association, Vol. 96, No. 455 (Sep., 2001), pp. 11021112 Published by: on behalf of the Taylor & Francis, Ltd. American Statistical Association Stable URL: http://www.jstor.org/stable/2670256...

The study identified the socio-economic and demographic factors of both married and unmarried females in third world countries. Almost all the countries have same problems but we have selected Pakistan as a sample country. The main purpose of this study was to examine which factors forced women to participate in labor market. So the best technique of data collection was survey of both married a...

This research employs probit analysis to examine the selection criteria governing nonuniform application of concentrated housing code enforcement in the city of St. Louis. The study has three specific objectives: (1) to identify the goals and geographic selection criteria characteristic of St. Louis' concentrated code enforcement program during the twenty years that it was in effect; (2) to est...

In this paper we develop a dynamic discrete-time bivariate probit model, in which the conditions for Granger non-causality can be represented and tested. The conditions for simultaneous independence are also worked out. The model is extended in order to allow for covariates, representing individual as well as time heterogeneity. The proposed model can be estimated by Maximum Likelihood. Granger...

This paper presents a new method for predicting turning points. The paper formally defines a turning point; develops a probit model for estimating the probability of a turning point; and then examines both the in-sample and out-of-sample forecasting performance of the model. The model performs better than some other methods for predicting turning points. *While working on this paper, all three ...

Acknowledgements I would like to thank my faculty advisor, Professor Edward Tower, for his invaluable assistance and guidance at every stage of this paper's creation. I would also like to acknowledge Professor Kent Kimbrough for the useful feedback he provided as instructor of my Honors Seminar. Finally, I would like to thank my colleagues in that seminar for their comments and feedback: Abstra...

The purpose of this paper is to examine the determinants of a firm’s strategy to invest in a conflict location. To the best of our knowledge, this has not been done before. We examine this using a standard model of international business, overlaid with the fundamental approach to corporate social responsibility. We start with the population of multinationals who have chosen to invest in low inc...