Using Mixtures of Flexible Functional Forms to Estimate Factor Demand Elasticities
AbstractResearchers who wish to estimate factor demands using flexible functional forms may now choose from several candidates supplied by the theoretical literature. Unfortunately, the criteria for a priori model selection are not clear. This paper adopts the use of Bayesian methods and argues that there is in fact no need to choose; the optimal strategy is to use a mixture of functional forms to estimate the parameters of interest. Problems of overfitting are avoided by the imposition of the appropriate regulatory conditions. Practical implementation is greatly simplified by the use of Markov chain Monte Carlo techniques. In an example, three well-known functional forms for cost functions are applied to estimate factor demand elasticities in the Canadian manufacturing sector.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Canadian Economics Association in its journal Canadian Journal of Economics.
Volume (Year): 29 (1996)
Issue (Month): 3 (August)
Contact details of provider:
Postal: Canadian Economics Association Prof. Steven Ambler, Secretary-Treasurer c/o Olivier Lebert, CEA/CJE/CPP Office C.P. 35006, 1221 Fleury Est Montréal, Québec, Canada H2C 3K4
Web page: http://economics.ca/cje/
More information through EDIRC
Other versions of this item:
- GORDON, Stephen, 1995. "Using Mixtures of Flexible Functional Forms to Estimate Factor Demand Elasticities," Cahiers de recherche 9502, Université Laval - Département d'économique.
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Hanrahan, Kevin F. & Westhoff, Patrick C. & Young, Robert E., II, 2001. "Trade Allocation Modeling: Comparing The Results From Armington And Locally Regular Ai Demand System Specifications Of A Uk Beef Import Demand Allocation Model," 2001 Annual meeting, August 5-8, Chicago, IL 20510, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Chua, C.L. & Griffiths, W.E. & O'Donnell, C.J., 2001.
"Bayesian Model Averaging in Consumer Demand Systems with Inequality Constraints,"
Department of Economics - Working Papers Series
806, The University of Melbourne.
- C. L Chua & W. E. Griffiths & C. J O'Donnell, 2001. "Bayesian Model Averaging in Consumer Demand Systems with Inequality Constraints," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 49(3), pages 269-291, November.
- Keane, Michael, 2003. "Comment on “Simulation and Estimation of Hedonic Models” by Heckman, Matzkin and Nesheim," MPRA Paper 55141, University Library of Munich, Germany.
- McCausland, William J., 2008. "On Bayesian analysis and computation for functions with monotonicity and curvature restrictions," Journal of Econometrics, Elsevier, vol. 142(1), pages 484-507, January.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Prof. Werner Antweiler).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.