EconPapers    
Economics at your fingertips  
 

Estimation with overidentifying inequality moment conditions

Hyungsik Moon () and Frank Schorfheide

Journal of Econometrics, 2009, vol. 153, issue 2, 136-154

Abstract: This paper derives limit distributions of empirical likelihood estimators for models in which inequality moment conditions provide overidentifying information. We show that the use of this information leads to a reduction of the asymptotic mean-squared estimation error and propose asymptotically uniformly valid tests and confidence sets for the parameters of interest. While inequality moment conditions arise in many important economic models, we use a dynamic macroeconomic model as a data generating process and illustrate our methods with instrumental variable estimators of monetary policy rules. The results obtained in this paper extend to conventional GMM estimators.

Keywords: Empirical; likelihood; estimation; Generalized; method; of; moments; Inequality; moment; conditions; Instrumental; variable; estimation; Monetary; policy; rules (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (52)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304-4076(09)00140-7
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:153:y:2009:i:2:p:136-154

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 ().

 
Page updated 2025-03-31
Handle: RePEc:eee:econom:v:153:y:2009:i:2:p:136-154