This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Bayesian Estimation of Demand Functions under Block Rate Pricing

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Koji Miyawaki (Graduate School of Economics, University of Tokyo)
Yasuhiro Omori (Faculty of Economics, University of Tokyo)
Akira Hibiki (National Institute for Environmental Studies and Department of Social Engineering, Tokyo Insitute of Technology)

Additional information is available for the following registered author(s):

Abstract

This article proposes a Bayesian estimation method of the demand function under block rate pricing, mainly focusing on increasing block rat epricing. Block rate pricing is often observed in public sectors, such as water and electricity. Under this price structure, price changes when consumption exceeds a certain threshold, and the demand function is subject to a piece wise-linear budget constraint. We apply a discrete/continuous choice model to analyze household behavior with such a price system and take a hierarchical Bayesian approach to estimate its demand function. Moreover, a separability condition is additionally considered to obtain proper estimates. The model is extended to allow random coefficients for panel data and spatial correlation to account for consumer heterogeneity of spatial data. The proposed method is applied to estimate the Japanese residential water demand function under increasing block rate pricing.

Download Info
To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Publisher Info
Paper provided by CIRJE, Faculty of Economics, University of Tokyo in its series CIRJE F-Series with number CIRJE-F-424.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 29pages
Date of creation: May 2006
Date of revision:
Handle: RePEc:tky:fseres:2006cf424

Contact details of provider:
Web page: http://www.e.u-tokyo.ac.jp/cirje/index.htm

For technical questions regarding this item, or to correct its listing, contact: ().

Related research
Keywords:

Other versions of this item:

This paper has been announced in the following NEP Reports: References listed on IDEAS
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.:
  1. Chib, Siddhartha, 2001. "Markov chain Monte Carlo methods: computation and inference," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 57, pages 3569-3649 Elsevier. [Downloadable!] (restricted)
  2. Herriges, Joseph A & King, Kathleen Kuester, 1994. "Residential Demand for Electricity under Inverted Block Rates: Evidence from a Controlled Experiment," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 419-30, October.
  3. Kunitomo, Naoto & Sato, Seisho, 1996. "Asymmetry in economic time series and the simultaneous switching autoregressive model," Structural Change and Economic Dynamics, Elsevier, vol. 7(1), pages 1-34, March. [Downloadable!] (restricted)
  4. John Geweke, 2004. "Getting It Right: Joint Distribution Tests of Posterior Simulators," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 799-804, January. [Downloadable!] (restricted)
  5. Jasper M. Dalhuisen & Raymond J. G. M. Florax & JHenri L. F. de Groot & Peter Nijkamp, 2003. "Price and Income Elasticities of Residential Water Demand: A Meta-Analysis," Land Economics, University of Wisconsin Press, vol. 79(2), pages 292-308. [Downloadable!] (restricted)
  6. Barnett, A H, 1980. "The Pigouvian Tax Rule under Monopoly," American Economic Review, American Economic Association, vol. 70(5), pages 1037-41, December. [Downloadable!] (restricted)
  7. De Jong, G. C., 1990. "An indirect utility model of car ownership and private car use," European Economic Review, Elsevier, vol. 34(5), pages 971-985, July. [Downloadable!] (restricted)
  8. Olmstead, Sheila & Hanemann, Michael & Stavins, Robert, 2005. "Do Consumers React to the Shape of Supply? Water Demand Under Heterogeneous Price Structures," Working Paper Series rwp05-039, Harvard University, John F. Kennedy School of Government. [Downloadable!]
    Other versions:
  9. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika van der Linde, 2002. "Bayesian measures of model complexity and fit," Journal Of The Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639. [Downloadable!] (restricted)
  10. Burtless, Gary & Hausman, Jerry A, 1978. "The Effect of Taxation on Labor Supply: Evaluating the Gary Negative Income Tax Experiments," Journal of Political Economy, University of Chicago Press, vol. 86(6), pages 1103-30, December. [Downloadable!] (restricted)
    Other versions:
  11. Sheila Olmstead & W. Michael Hanemann & Robert N. Stavins, 2007. "Water Demand Under Alternative Price Structures," NBER Working Papers 13573, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  12. Misiolek, Walter S., 1980. "Effluent taxation in monopoly markets," Journal of Environmental Economics and Management, Elsevier, vol. 7(2), pages 103-107, June. [Downloadable!] (restricted)
  13. Chib, Siddhartha, 1992. "Bayes inference in the Tobit censored regression model," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 79-99. [Downloadable!] (restricted)
Full references

Statistics
Access and download statistics

Did you know? Over 80% of the top 1000 economists are registered on RePEc.

This page was last updated on 2009-12-18.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.