EconPapers    
Economics at your fingertips  
 

LIMITED INFORMATION MAXIMUM LIKELIHOOD ESTIMATION OF A SUBSYSTEM OF NONLINEAR EQUATIONS

S. Schim van der Loeff

No 272294, Econometric Institute Archives from Erasmus University Rotterdam

Abstract: This paper discusses the maximum likelihood estimation of the parameters of a subsystem of nonlinear equations under partial disregard of structural information. It provides a generalization of Godfrey and Wickens' (1982) limited information estimator to subsystems of nonlinear equations and Amemiya's (1975) nonlinear limited information estimator to subsystems containing more than one equation. Some attention is devoted to the asymptotic properties of the estimator and different estimators for the asymptotic covariance matrix are discussed. The estimation method is illustrated by means of an example dealing with the estimation of an aggregate two-level CES production function for The Netherlands' enterprises sector.

Keywords: Agricultural and Food Policy; Research Methods/Statistical Methods (search for similar items in EconPapers)
Pages: 25
Date: 1985-06
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/272294/files/erasmus170.pdf (application/pdf)
https://ageconsearch.umn.edu/record/272294/files/erasmus170.pdf?subformat=pdfa (application/pdf)

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:ags:eureia:272294

DOI: 10.22004/ag.econ.272294

Access Statistics for this paper

More papers in Econometric Institute Archives from Erasmus University Rotterdam Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2025-04-03
Handle: RePEc:ags:eureia:272294