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Collective Household Consumption Behavior : Revealed Preference Analysis. 集合世帯の消費行動-顕示選好分析
・ISBN 978-1-60198-536-1 paper
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| 著者・編者 | Cherchye, Laurens / De Rock, B. / Vermeulen, F., |
|---|---|
| シリーズ | Foundations and Trends in Econometrics |
| 出版社 | (Now Publishers, US) |
| 出版年月 | 2012 |
| ページ数 | 90 pp. |
| 言語 | ENG |
| ニュース番号 | <599-205 599-L38> |
解説
Collective Household Consumption Behavior presents a nonparametric `revealed preference' methodology for analyzing collective consumption behavior in practical applications, while possibly accounting for externalities, public consumption and the use of assignable quantity information. It considers two types of collective models: The general collective model considers general preferences of the individual household members, which allow for externalities and public consumption within the household. The special collective models that do not allow for consumption externalities.
After the introduction, section 2 sets the stage by introducing the revealed preference characterizations of the unitary model. Section 3 presents a collective model that allows for general individual preferences and discusses its revealed preference characterization. Sections 4 and 5 show how to bring this theoretical characterization to observational data. More specifically, Section 4 introduces the mixed integer programming characterizations for special collective models that impose restrictions on the household members' preferences. Section 5 does the same for the general collective model. Throughout Section 2 to Section 5, the authors illustrate the most relevant concepts by means of numerical examples. In Section 6 we subsequently illustrate our main results for data drawn from the Russian Longitudinal Monitoring Survey.
After the introduction, section 2 sets the stage by introducing the revealed preference characterizations of the unitary model. Section 3 presents a collective model that allows for general individual preferences and discusses its revealed preference characterization. Sections 4 and 5 show how to bring this theoretical characterization to observational data. More specifically, Section 4 introduces the mixed integer programming characterizations for special collective models that impose restrictions on the household members' preferences. Section 5 does the same for the general collective model. Throughout Section 2 to Section 5, the authors illustrate the most relevant concepts by means of numerical examples. In Section 6 we subsequently illustrate our main results for data drawn from the Russian Longitudinal Monitoring Survey.