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 ...

Investigation of the anomalies associated with crashes and jackpots in the Chinese stock market. Design/methodology/approach – We propose a logit model to predict the events of crashes and jackpots in ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation We compare how logit (fixed effects) and probit early warning systems (EWS) predict insample and out-of-sample currency ...

This is a preview. Log in through your library . Abstract Longitudinal studies of a binary outcome are common in the health, social, and behavioral sciences. In general, a feature of random effects ...