Functional Forms in Discrete/Continuous Choice Models With General Corner Solution
AbstractIn this paper we present a new utility model that serves as the basis for modeling discrete/continuous consumer choices with a general corner solution. The new model involves a more flexible representation of preferences than what has been used in the previous literature and, unlike most of this literature, it is not additively separable. This functional form can handle richer substitution patterns such as complementarity as well as substitution among goods. We focus in part on the Quadratic Box-Cox utility function and examine its properties from both theoretical and empirical perspectives. We identify the significance of the various parameters of the utility function, and demonstrate an estimation strategy that can be applied to demand systems involving both a small and large number of commodities.
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.
Bibliographic InfoPaper provided by Department of Agricultural & Resource Economics, UC Berkeley in its series Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series with number qt7z25t659.
Date of creation: 30 Dec 2008
Date of revision:
Contact details of provider:
Postal: 207 Giannini Hall #3310, Berkeley, CA 94720-3310
Phone: (510) 642-3345
Fax: (510) 643-8911
Web page: http://www.escholarship.org/repec/are_ucb/
More information through EDIRC
choice modeling; Quadratic Box-Cox utility function; statistical analysis;
Other versions of this item:
- Felipe Vásquez & Michael Hanemann, 2009. "Functional Forms in Discrete/Continuous Choice Models with General Corner Solution," Working Papers 08-2009, Departamento de Economía, Universidad de Concepción.
- Vasquez Lavin, Felipe & Hanemann, W. Michael, 2008. "Functional forms in discrete/continuous choice models with general corner solution," CUDARE Working Paper Series 1078, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy.
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.:
- Hausman, Jerry A. & Leonard, Gregory K. & McFadden, Daniel, 1995. "A utility-consistent, combined discrete choice and count data model Assessing recreational use losses due to natural resource damage," Journal of Public Economics, Elsevier, vol. 56(1), pages 1-30, January.
- Daniel J. Phaneuf & Catherine L. Kling & Joseph A. Herriges, 2000.
"Estimation and Welfare Calculations in a Generalized Corner Solution Model with an Application to Recreation Demand,"
The Review of Economics and Statistics,
MIT Press, vol. 82(1), pages 83-92, February.
- Phaneuf, Daniel J. & Kling, Catherine L. & Herriges, Joseph A., 2000. "Estimation and Welfare Calculations in a Generalized Corner Solution Model with an Application to Recreation Demand," Staff General Research Papers 1355, Iowa State University, Department of Economics.
- Daniel J. Phaneuf & Catherine L. Kling & Joseph A. Herriges, 1998. "Estimation and Welfare Calculations in a Generalized Corner Solution Model with an Application to Recreation Demand," Center for Agricultural and Rural Development (CARD) Publications 99-wp207, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- Parsons, George R. & Jakus, Paul M. & Tomasi, Ted, 1999. "A Comparison of Welfare Estimates from Four Models for Linking Seasonal Recreational Trips to Multinomial Logit Models of Site Choice," Journal of Environmental Economics and Management, Elsevier, vol. 38(2), pages 143-157, September.
- Wales, T. J. & Woodland, A. D., 1983. "Estimation of consumer demand systems with binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 21(3), pages 263-285, April.
- Lee, Lung-Fei & Pitt, Mark M, 1986. "Microeconometric Demand Systems with Binding Nonnegativity Constraints: The Dual Approach," Econometrica, Econometric Society, vol. 54(5), pages 1237-42, September.
- Chiang, J. & Lee, L-F., 1990.
"Discrete/Continuous Models of Consumer Demand with Binding Non-Negativity Constraints,"
261, Minnesota - Center for Economic Research.
- Chiang, Jeongwen & Lee, Lung-Fei, 1992. "Discrete/continuous models of consumer demand with binding nonnegativity constraints," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 79-93.
- Phaneuf, Daniel J. & Smith, V. Kerry, 2006. "Recreation Demand Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 15, pages 671-761 Elsevier.
- Parsons George R. & Kealy Mary Jo, 1995. "A Demand Theory for Number of Trips in a Random Utility Model of Recreation," Journal of Environmental Economics and Management, Elsevier, vol. 29(3), pages 357-367, November.
- von Haefen, Roger H., 2007. "Empirical strategies for incorporating weak complementarity into consumer demand models," Journal of Environmental Economics and Management, Elsevier, vol. 54(1), pages 15-31, July.
- von Haefen R.H. & Phaneuf D.J. & Parsons G.R., 2004. "Estimation and Welfare Analysis With Large Demand Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 194-205, April.
- Herriges, Joseph A. & Kling, Catherine L. & Phaneuf, Daniel J., 1999. "Corner Solution Models of Recreation Demand: A Comparison of Competing Frameworks," Staff General Research Papers 1513, Iowa State University, Department of Economics.
- Hendel, Igal, 1999. "Estimating Multiple-Discrete Choice Models: An Application to Computerization Returns," Review of Economic Studies, Wiley Blackwell, vol. 66(2), pages 423-46, April.
- Castro, Marisol & Bhat, Chandra R. & Pendyala, Ram M. & Jara-Díaz, Sergio R., 2012. "Accommodating multiple constraints in the multiple discrete–continuous extreme value (MDCEV) choice model," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 729-743.
- Sikder, Sujan & Pinjari, Abdul Rawoof, 2013. "The benefits of allowing heteroscedastic stochastic distributions in multiple discrete-continuous choice models," Journal of choice modelling, Elsevier, vol. 9(C), pages 39-56.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Lisa Schiff).
If references are entirely missing, you can add them using this form.