The file household_dataset.csv contains data regarding a sample of 500 households randomly selected in a certain province. For these households, the following variables were obtained: 1) income – ...

The logit and probit models have become critical parts of the management researcher's analytical arsenal, growing rapidly from almost no use in the 1980s to appearing in 15% of all articles published ...

Abstract: The Logit model and the Probit model are statistical models of Logistic regression and probability-based pattern recognition algorithms. The cases in which the Logit model and the Probit ...

See if the logit model fits the data, treating the redemption rate as the dependent variable and price discount as the explanatory variable. b. See if the probit model does as well as the logit model.

The Canadian Journal of Statistics / La Revue Canadienne de Statistique We consider optimal designs for a class of symmetric models for binary data which includes the common probit and logit models.

ABSTRACT: We put forward a model based on item response theory that highlights the role of latent features called “proficiency” and “propensity”. The model is adjusted to data from the decisions made ...

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 ...