IV methods for Tobit models
This paper studies models of processes generating censored outcomes with endogenous explanatory variables and instrumental variable restrictions. Tobit-type left censoring at zero is the primary focus in the exposition. Extension to stochastic censoring is sketched. The models do not specify the process determining endogenous explanatory variables and they do not embody restrictions justifying control function approaches. Consequently, they can be partially or point identifying. Identified sets are characterized and it is shown how inference can be performed on scalar functions of partially identified parameters when exogenous variables have rich support. In an application using data on UK household tobacco expenditures inference is conducted on the co-efficient of an endogenous total expenditure variable with and without a Gaussian distributional restriction on the unobservable and compared with the results obtained using a point identifying complete triangular model.
Year of publication: |
2022
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Authors: | Chesher, Andrew ; Kim, Dongwoo ; Rosen, Adam M. |
Publisher: |
London : Centre for Microdata Methods and Practice (cemmap) |
Subject: | censored outcomes | endogeneity | incomplete models | instrumental variables | partial identiÖcation | stochastic censoring |
Saved in:
freely available
Series: | cemmap working paper ; CWP16/22 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 10.47004/wp.cem.2022.1622 [DOI] 1818347792 [GVK] hdl:10419/272828 [Handle] |
Classification: | C10 - Econometric and Statistical Methods: General. General ; C24 - Truncated and Censored Models ; c26 ; C51 - Model Construction and Estimation |
Source: |
Persistent link: https://www.econbiz.de/10014302508