analyze identification of binary and multinomial choice models when the choice utilities are nonseparable in observed …

We consider a variable selection problem for the prediction of binary outcomes. We study the best subset selection … sample size. We illustrate usefulness of the best subset binary prediction approach via Monte Carlo simulations and an …

Measurement error in historical data distorts descriptive analyses based on binary classifications. Modern replications …

group discussion. Binary logistic regression was employed to identify and analyze the determinants of members' voluntary …

-specific prices) and of binary games of complete information. We show that these two models are quite similar from an identification …

challenging national policy approach. Our micro-econometric analysis with uni- and multivariate binary and ordered probit models …

a less general version of monotonicity in binary and ordered choice models, monotonicity in unordered discrete choice … of observables and unobservables. These results follow from properties of binary matrices developed in this paper. We …

econometric analysis with multivariate binary and ordered probit models is that not only some attitudinal factors like …

environmental behavior and the adoption of ISO 14001. In so doing, it uses binary logistic regression to analyze an international …