This is a preview. Log in through your library . Abstract This paper presents methods for computing aggregate change in probabilities of a binary dependent variable from changes in distributions of ...

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 ...

"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count data. The most ...

I propose a Lagrange multiplier test for the multinomial logit model against the dogit model (Gaudry and Dagenais 1979) as the alternative hypothesis. In view of the well-known drawback of the ...

Factors that contribute to the growth status of informal enterprises in India are explored using data on the unincorporated non-agricultural enterprises from the National Sample Survey Office. A ...