Estimating complex production functions: The importance of starting values
Production functions that take into account uncertainty can be empirically estimated by taking a state contingent view of the world. Where there is no a priori information to allocate data amongst a small number of states, the estimation may be carried out with finite mixtures model. The complexity of the estimation almost guarantees a large number of local maxima for the likelihood function. However, it is shown, with examples, that a variation on the traditional method of finding starting values substantially improves the estimation results. One of the major benefits of the proposed method is the reliable estimation of a decision makerÃ¢s ability to substitute output between states, justifying a preference for the state contingent approach over the use of a stochastic production function.
|Date of creation:||Feb 2007|
|Contact details of provider:|| Postal: Colin Clark Building, no 39, St. Lucia, Qld. 4072|
Phone: +61 7 3365 6601
Fax: +61 7 3365 6601
Web page: http://www.uq.edu.au/rsmg/index.htm
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:rsm:riskun:r07_1. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (David Adamson)
If references are entirely missing, you can add them using this form.