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Identifier to cite or link to this item: https://hdl.handle.net/10086/18366

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Title
Panel Data Analysis of Japanese Residential Water Demand Using a Discrete/Continuous Choice Approach
Creator
Creator Name
Miyawaki, Koji Miyawaki, Koji
宮脇, 幸治 宮脇, 幸治
Affiliation
Affiliation Name
National Institute for Environmental Studies
Creator Name
Omori, Yasuhiro Omori, Yasuhiro
大森, 裕浩 大森, 裕浩
Affiliation
Affiliation Name
University of Tokyo
Creator Name
Hibiki, Akira Hibiki, Akira
日引, 聡 日引, 聡
Affiliation
Affiliation Name
National Institute for Environmental Studies
Editor
Contributor Name
社会科学の高度統計・実証分析拠点構築 = Research Unit for Statistical and Empirical Analysis in Social Sciences
Affiliation
Affiliation Name
Hitotsubashi University
Key Word
Bayesian analysis
Panel data
Residential water demand
JEL
C11
C23
C24
Q25
Abstract
Block rate pricing is often applied to income taxation, telecommunication services, and brand marketing in addition to its best-known application in public utility services. Under block rate pricing, consumers face piecewise-linear budget constraints. A discrete/continuous choice approach is usually used to account for piecewise-linear budget constraints for demand and price endogeneity. A recent study proposed a methodology to incorporate a separability condition that previous studies ignore, by implementing a Markov chain Monte Carlo simulation based on a hierarchical Bayesian approach. To extend this approach to panel data, our study proposes a Bayesian hierarchical model incorporating the individual effect. The random coefficients model result shows that the price and income elasticities are estimated to be negative and positive, respectively, and the coefficients of the number of members and the number of rooms per household are estimated to be positive. Furthermore, the AR(1) error component model suggests that the Japanese residential water demand does not have serial correlation.
Description
February 17, 2010
Publisher
Institute of Economic Research, Hitotsubashi University
Issued Date
2010-03
Language
English(eng)
Resource Type
technical report
Version Type
VoR
Is Part OfRelation -
Related Title
Global COE Hi-Stat Discussion Paper Series ; No. 123
Relation
Related Identifier
URI
  http://gcoe.ier.hit-u.ac.jp/english/index.html
Sponsorship
グローバルCOEプログラム = Global COE Program
Appears in Collections
Global COE Hi-Stat Discussion Paper Series
URL
https://hdl.handle.net/10086/18366