Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/98269
Title: Measurement errors and censored structural latent variables models
Authors: Chen, Songnian.
Hsiao, Cheng.
Wang, Liqun.
Issue Date: 2011
Source: Chen, S., Hsiao, C., & Wang, L. (2012). Measurement Errors and Censored Structural Latent Variables Models. Econometric Theory, 28(03), 696-703.
Series/Report no.: Econometric theory
Abstract: We consider censored structural latent variables models where some exogenous variables are subject to additive measurement errors. We demonstrate that overidentification conditions can be exploited to provide natural instruments for the variables measured with errors, and we propose a two-stage estimation procedure. The first stage involves substituting available instruments in lieu of the variables that are measured with errors and estimating the resulting reduced form parameters using consistent censored regression methods. The second stage obtains structural form parameters using the conventional linear simultaneous equations model estimators.
URI: https://hdl.handle.net/10356/98269
http://hdl.handle.net/10220/13246
DOI: 10.1017/S0266466611000715
Rights: © 2011 Cambridge University Press. This paper was published in Econometric Theory and is made available as an electronic reprint (preprint) with permission of Cambridge University Press. The paper can be found at the following official DOI: [http://dx.doi.org/10.1017/S0266466611000715]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:HSS Journal Articles

Files in This Item:
File Description SizeFormat 
Measurement errors and censored structural latent variables models.pdf74.79 kBAdobe PDFThumbnail
View/Open

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.