This paper presents new models for simultaneous relationships among endogenous categorical variables. Previous investigators have argued that the loglinear/logit framework is insufficiently rich for ...

An estimation procedure is presented that may be used to simultaneously estimate the parameters in a multiple equation regression model. The regression models considered are shown to arise from ...

Learn how hedonic regression helps estimate factors affecting prices in real estate and consumer goods, aiding in precise ...

Beside the model, the other input into a regression analysis is some relevant sample data, consisting of the observed values of the dependent and explanatory variables for a sample of members of the ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...