Bayesian Model Averaging in Consumer Demand Systems with Inequality Constraints
AbstractShare equations for the translog and almost ideal demand systems are estimated using Markov Chain Monte Carlo. A common prior on the elasticities and budget shares evaluated at average prices and income is used for both models. It includes equality restrictions (homogeneity, adding up and symmetry) and inequality restrictions (monotonicity and concavity). Posterior densities on the elasticities and shares are obtained; the problem of choosing between the results from the two alternative functional forms is resolved by using Bayesian model averaging. The application is to USDA data for beef, pork and poultry. Estimation of elasticities and shares, evaluated at mean prices and expenditure, is insensitive to model choice. At points away from the means the estimates are sensitive, and model averaging has an impact.
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 Agricultural Economics Society/Societe canadienne d'agroeconomie in its journal Canadian Journal of Agricultural Economics.
Volume (Year): 49 (2001)
Issue (Month): 3 (November)
Contact details of provider:
Web page: http://www.blackwellpublishing.com/journal.asp?ref=0008-3976
More information through EDIRC
Other versions of this item:
- 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.
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- E21 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Griffiths, William E & Chotikapanich, Duangkamon, 1997. "Bayesian Methodology for Imposing Inequality Constraints on a Linear Expenditure System with Demographic Factors," Australian Economic Papers, Wiley Blackwell, vol. 36(69), pages 321-41, December.
- Danilov, D.L. & Magnus, J.R., 2001. "On the Harm that Pretesting Does," Discussion Paper 2001-37, Tilburg University, Center for Economic Research.
- Moschini, GianCarlo, 1999.
"Imposing Local Curvature Conditions in Flexible Demand System,"
Staff General Research Papers
1745, Iowa State University, Department of Economics.
- Moschini, Giancarlo, 1999. "Imposing Local Curvature Conditions in Flexible Demand Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 487-90, October.
- GORDON, Stephen, 1995.
"Using Mixtures of Flexible Functional Forms to Estimate Factor Demand Elasticities,"
Cahiers de recherche
9502, Université Laval - Département d'économique.
- Stephen Gordon, 1996. "Using Mixtures of Flexible Functional Forms to Estimate Factor Demand Elasticities," Canadian Journal of Economics, Canadian Economics Association, vol. 29(3), pages 717-36, August.
- Ryan, David L & Wales, Terence J, 1998.
"A Simple Method for Imposing Local Curvature in Some Flexible Consumer-Demand Systems,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 16(3), pages 331-38, July.
- David L. Ryan & Terence J. Wales, . "A Simple Method For Imposing Local Curvature In Some Flexible Consumer Demand Systems," Old UBC Departmental Papers 9625, UBC Department of Economics.
- Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-26, June.
- Frank Kleibergen, 1997.
"Equality Restricted Random Variables: Densities and Sampling Algorithms,"
Tinbergen Institute Discussion Papers
97-005/4, Tinbergen Institute.
- Kleibergen, F.R., 1996. "Equality Restricted Random Variables: Densities and Sampling Algorithms," Econometric Institute Report EI 9662-/A, Erasmus University Rotterdam, Econometric Institute.
- Griffiths, William E. & Newton, Lisa S. & O'Donnell, Christopher J., 2010. "Predictive densities for models with stochastic regressors and inequality constraints: Forecasting local-area wheat yield," International Journal of Forecasting, Elsevier, vol. 26(2), pages 397-412, April.
- Hendrik Wolff & Thomas Heckelei & Ron C. Mittelhammer, 2004.
"Imposing Curvature and Monotonicity on Flexible Functional Forms: An Efficient Regional Approach,"
Econometric Society 2004 North American Summer Meetings
450, Econometric Society.
- Hendrik Wolff & Thomas Heckelei & Ron Mittelhammer, 2010. "Imposing Curvature and Monotonicity on Flexible Functional Forms: An Efficient Regional Approach," Computational Economics, Society for Computational Economics, vol. 36(4), pages 309-339, December.
- Wolff, Hendrik & Heckelei, Thomas & Mittelhammer, Ronald C., 2004. "Imposing Monotonicity And Curvature On Flexible Functional Forms," 2004 Annual meeting, August 1-4, Denver, CO 20256, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum).
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.