A Dual Approach to Estimation With Constant Prices
Quirino Paris and
Michael Caputo
No 93740, Working Papers from University of California, Davis, Department of Agricultural and Resource Economics
Abstract:
In a recent paper, Mundlak assumes that the price-taking, risk-neutral and profit-maximizing entrepreneur makes his decisions on the basis of a planning model that maximizes expected profit using expected prices. In the same paper, the author asserts that when there is no sample price variation across competitive firms, it is impossible to estimate the supply and factor demand functions from cross-section data using a dual approach. In a famous paper, titled “To Dual or not to Dual,” Pope asserted a similar opinion. This paper shows that, using Mundlak’s assumption about planning decisions based upon expected profit, it is possible to use a dual estimator to estimate supply and factor demand functions. This objective is achieved by using Mundlak’s assumption about the individuality of the firm’s expectation process. A two-phase procedure is suggested to obtain consistent estimates of the expected quantities and prices which are then used, in phase II, in a nonlinear seemingly unrelated equations problem to obtain efficient estimates of the technological parameters.
Keywords: Demand and Price Analysis; Research Methods/Statistical Methods (search for similar items in EconPapers)
Pages: 21
Date: 2003-11
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/93740/files/03-005.pdf (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:ucdavw:93740
DOI: 10.22004/ag.econ.93740
Access Statistics for this paper
More papers in Working Papers from University of California, Davis, Department of Agricultural and Resource Economics Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().