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Bayesian Analysis of Demand Under Block Rate Pricing / by Koji Miyawaki
(JSS Research Series in Statistics. ISSN:23640065)
版 | 1st ed. 2019. |
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出版者 | Singapore : Springer Nature Singapore : Imprint: Springer |
出版年 | 2019 |
本文言語 | 英語 |
大きさ | IX, 112 p. 33 illus., 11 illus. in color : online resource |
著者標目 | *Miyawaki, Koji author SpringerLink (Online service) |
件 名 | LCSH:Statistics LCSH:Financial engineering LCSH:Economic development FREE:Statistics in Business, Management, Economics, Finance, Insurance FREE:Statistical Theory and Methods FREE:Bayesian Inference FREE:Financial Engineering FREE:Economic Development, Innovation and Growth |
一般注記 | 1. Introduction -- 2. Demand under Increasing Block Rate Pricing -- 3. Demand under Decreasing Block Rate Pricing -- 4. Extensions to Panel Data -- 5. Extensions to Areal Data -- 6. Block Normal Simulator This book focuses on the structural analysis of demand under block rate pricing, a type of nonlinear pricing used mainly in public utility services. In this price system, consumers are presented with several unit prices, which makes a naive analysis biased. However, the response to the price schedule is often of interest in economics and plays an important role in policymaking. To address this issue, the book adopts a structural approach, referred to as the discrete/continuous choice approach in the literature, to develop corresponding statistical models for analysis.The resulting models are extensions of the Tobit model, a well-known statistical model in econometrics, and their hierarchical structure fits well in Bayesian methodology. Thus, the book takes the Bayesian approach and develops the Markov chain Monte Carlo method to conduct statistical inferences. The methodology derived is then applied to real-world datasets, microdata collected in Tokyo and the neighboring Chiba Prefecture, as a useful empirical analysis for prediction as well as policymaking HTTP:URL=https://doi.org/10.1007/978-981-15-1857-7 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9789811518577 |
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EB00239752 |
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