chapter 4, I examines some binary model applications in XploRe. Chapter 5 presents the logit model estimation for the … discriminant analysis [MDA], conditional logit regression analysis, artificial neural network models and support vector machines … logit analysis as an easily implemented analytical procedure to a bankruptcy data with the use of the XploRe software. The …

In this paper, we consider estimation of discrete response models exhibiting conditional heteroskedasticity of a … term. It is first shown that for estimation of the slope coefficients in a binary choice model under this type of … estimated at the parametric rate under the multiplicative heteroskedasticity assumption. Two estimation procedures are proposed …

adoption decision could be identified. The adoption decision is treated as a binary choice problem and therefore a probit model …

significance. A probit-based predictive model is used to forecast the probability that the 1 month ahead excess market return will …

bivariate probit estimation techniques are used to estimate the likelihood that GPs are satisfied with the financial and non … specifically, the recursive bivariate probit selection model is used as a means of handling potential sources of sample selection …

Sicherungssystemen und die Bereitschaft f?r private Altersvorsorge mittels Ordered Probit Modellen f?r das Jahr 2002 analysiert. Es zeigt …

standard and international trade. The estimation results allow us to formulate some interesting policy conclusions. …