Showing 1 - 10 of 22
Many structural econometric models include latent variables on whose probability distributions one may wish to place minimal restrictions. Leading examples in panel data models are individual-specific variables sometimes treated as "fixed effects" and, in dynamic models, initial conditions. This...
Persistent link: https://www.econbiz.de/10014480416
Many structural econometric models include latent variables on whose probability distributions one may wish to place minimal restrictions. Leading examples in panel data models are individual-specific variables sometimes treated as "fixed effects" and, in dynamic models, initial conditions. This...
Persistent link: https://www.econbiz.de/10014380646
Persistent link: https://www.econbiz.de/10003908260
We provide new conditions for identification of accelerated failure time competing risks models. These include Roy models and some auction models. In our set up, unknown regression functions and the joint survivor function of latent disturbance terms are all nonparametric. We show that this...
Persistent link: https://www.econbiz.de/10010288383
Persistent link: https://www.econbiz.de/10008666382
We provide new conditions for identification of accelerated failure time competing risks models. These include Roy models and some auction models. In our set up, unknown regression functions and the joint survivor function of latent disturbance terms are all nonparametric. We show that this...
Persistent link: https://www.econbiz.de/10003989975
Persistent link: https://www.econbiz.de/10010248323
We develop a multi-risk SIR model (MR-SIR) where infection, hospitalization and fatality rates vary between groups-in particular between the "young", "the middleaged" and the "old". Our MR-SIR model enables a tractable quantitative analysis of optimal policy similar to those already developed in...
Persistent link: https://www.econbiz.de/10012621091
In this paper we study post-penalized estimators which apply ordinary, unpenalized linear regression to the model selected by first-step penalized estimators, typically LASSO. It is well known that LASSO can estimate the regression function at nearly the oracle rate, and is thus hard to improve...
Persistent link: https://www.econbiz.de/10010288394
Persistent link: https://www.econbiz.de/10002025732