Showing 1 - 10 of 65
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
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
Using firm-level data, this study explores the microeconomic factors affecting global value chain (GVC) participation in Zimbabwe. GVCs are important as a result of the fragmentation of global production across countries. As expected, firm size and credit financing are important determinants in...
Persistent link: https://www.econbiz.de/10014001520
This paper examined a set of over two thousand crypto-coins observed between 2015 and 2020 to estimate their credit risk by computing their probability of death. We employed different definitions of dead coins, ranging from academic literature to professional practice; alternative forecasting...
Persistent link: https://www.econbiz.de/10014332505
Probit and logit models typically require a normalization on the error variance for model identification. This paper …
Persistent link: https://www.econbiz.de/10011653258
We propose several Lagrange Multiplier tests of logit and probit models, which may be inexpensively computed by …
Persistent link: https://www.econbiz.de/10011940421
Using a quasi-experimental design with pooled cross section over time model, this paper explore the effect of the financial crisis known as the Great Recession on the labor supply in Ecuador. The remittances perceived declined due to the economic contraction in the United States and Spain, so...
Persistent link: https://www.econbiz.de/10011966827
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
Persistent link: https://www.econbiz.de/10011994996