MINIMUM SAMPLE SIZE REQUIREMENTS FOR MAXIMUM LIKELIHOOD ESTIMATION OF SOME DEMAND MODELS
R. Harkema
No 272292, Econometric Institute Archives from Erasmus University Rotterdam
Abstract:
The method of maximum likelihood is rather demanding, in the sense that a large number of observations is required in order to prevent the likelihood function from becoming unbounded. In this paper precise conditions are formulated such that the likelihood function associated with the Rotterdam model will be bounded under (a) conditions of homogeneity and symmetry and (b) the negativity condition. In addition it is shown that, surprisingly enough, the number of observations that is required to estimate the linear expenditure system is not smaller than the number that is required to estimate the Rotterdam model.
Keywords: Demand and Price Analysis; Research Methods/Statistical Methods (search for similar items in EconPapers)
Pages: 28
Date: 1985
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/272292/files/erasmus168.pdf (application/pdf)
https://ageconsearch.umn.edu/record/272292/files/erasmus168.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:272292
DOI: 10.22004/ag.econ.272292
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 ().