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are from a logit or probit model. I describe a relatively simple method of performing a decomposition that uses estimates … from a logit or probit model. Expanding on the original application of the technique in Fairlie (1999), I provide a more …
Persistent link: https://www.econbiz.de/10010267328
generates discrete choice outcomes. Pregibit nests logit, approximately nests probit, loglog, cloglog and gosset models, and … yields a linear probability model that is solidly founded on the discrete choice framework that underlies logit and probit. …
Persistent link: https://www.econbiz.de/10010282457
turns out to include a logit formulation as a special case. In general, it has a rich set of implications both for exogenous …
Persistent link: https://www.econbiz.de/10010269842
We model a boundedly rational agent who suffers from limited attention. The agent considers each feasible alternative with a given (unobservable) probability, the attention parameter, and then chooses the alternative that maximises a preference relation within the set of considered alternatives....
Persistent link: https://www.econbiz.de/10010289884
Probit and logit models typically require a normalization on the error variance for model identification. This paper …
Persistent link: https://www.econbiz.de/10011653258
GSOEP and present microeconometric rare events logit, logit and probit results. …
Persistent link: https://www.econbiz.de/10010267669
treatment effect in nonlinear difference-in-differences models such as probit, logit or tobit, because the cross difference is …
Persistent link: https://www.econbiz.de/10010269263
, called betit, nests both logit and probit and allows for various skewed and peaked disturbance densities. Because the shape … paper considers asymptotic biases of the logit and probit models under conditions where betit should have been used. It also …
Persistent link: https://www.econbiz.de/10010276953
The maximum likelihood estimator for the regression coefficients, β, in a panel binary response model with fixed effects can be severely biased if N is large and T is small, a consequence of the incidental parameters problem. This has led to the development of conditional maximum likelihood...
Persistent link: https://www.econbiz.de/10011787032
generates discrete choice outcomes. Pregibit nests logit, approximately nests probit, loglog, cloglog and gosset models, and … yields a linear probability model that is solidly founded on the discrete choice framework that underlies logit and probit. …
Persistent link: https://www.econbiz.de/10009650606