EconPapers    
Economics at your fingertips  
 

Some models for stochastic frontiers with endogeneity

William Griffiths (wegrif@unimelb.edu.au) and Gholamreza Hajargasht (rhajargasht@swin.edu.au)

Journal of Econometrics, 2016, vol. 190, issue 2, 341-348

Abstract: We consider mostly Bayesian estimation of stochastic frontier models where one-sided inefficiencies and/or the idiosyncratic error term are correlated with the regressors. We begin with a model where a Chamberlain–Mundlak device is used to relate a transformation of time-invariant effects to the regressors. This basic model is then extended in two directions: first an extra one-sided error term is added to allow for time-varying efficiencies. Second, a model with an equation for instrumental variables and a more general error covariance structure is introduced to accommodate correlations between both error terms and the regressors. An application of the first and second models to Philippines rice data is provided.

Keywords: Technical efficiency; Instrumental variables; Gibbs sampling (search for similar items in EconPapers)
JEL-codes: C11 C12 C23 D24 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (32) Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304407615001815
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:econom:v:190:y:2016:i:2:p:341-348

DOI: 10.1016/j.jeconom.2015.06.012

Access Statistics for this article

Journal of Econometrics is currently edited by T. Amemiya, A. R. Gallant, J. F. Geweke, C. Hsiao and P. M. Robinson

More articles in Journal of Econometrics from Elsevier
Bibliographic data for series maintained by Catherine Liu (repec@elsevier.com).

 
Page updated 2024-02-12
Handle: RePEc:eee:econom:v:190:y:2016:i:2:p:341-348