Showing 81 - 90 of 685
Persistent link: https://www.econbiz.de/10007643327
Persistent link: https://www.econbiz.de/10009986341
We estimate a dynamic model of mortgage default for a cohort of Colombian debtors between 1997 and 2004. We use the estimated model to study the effects on default of a class of policies that affected the evolution of mortgage balances in Colombia during the 1990's. We propose a framework for...
Persistent link: https://www.econbiz.de/10014194037
This paper extends the widely used ordered choice model by introducing stochastic thresholds and interval-specific outcomes. The model can be interpreted as a general- ization of the GAFT (MPH) framework for discrete duration data that jointly models durations and outcomes associated with...
Persistent link: https://www.econbiz.de/10005113002
Persistent link: https://www.econbiz.de/10005285371
This paper develops and applies a method for decomposing cross section variability of earnings into components that are forecastable at the time students decide to go to college (heterogeneity) and components that are unforecastable. About 60% of variability in returns to schooling is...
Persistent link: https://www.econbiz.de/10005822068
This paper considers semiparametric identiÞcation of structural dynamic discrete choice models and models for dynamic treatment effects. Time to treatment and counterfactual outcomes associated with treatment times are jointly analyzed. We examine the implicit assumptions of the dynamic...
Persistent link: https://www.econbiz.de/10005822506
Persistent link: https://www.econbiz.de/10006956196
This paper develops and applies a method for decomposing cross section variability of earnings into components that are forecastable at the time students decide to go to college (heterogeneity) and components that are unforecastable. About 60 % of variability in returns to schooling is...
Persistent link: https://www.econbiz.de/10005190980
This paper develops and applies a method for decomposing cross section variability of earnings into components that are forecastable at the time students decide to go to college (heterogeneity) and components that are unforecastable. About 60% of variability in returns to schooling is...
Persistent link: https://www.econbiz.de/10005579906