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Bayesian Analysis of Demand Under Block Rate Pricing

Af: Koji Miyawaki Engelsk Paperback

Bayesian Analysis of Demand Under Block Rate Pricing

Af: Koji Miyawaki Engelsk Paperback
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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.

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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.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 112
ISBN-13: 9789811518560
Indbinding: Paperback
Udgave:
ISBN-10: 9811518564
Kategori: Forskningsledelse og udviklingsledelse
Udg. Dato: 21 jan 2020
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Verlag, Singapore
Oplagsdato: 21 jan 2020
Forfatter(e): Koji Miyawaki
Forfatter(e) Koji Miyawaki

Kategori Forskningsledelse og udviklingsledelse

ISBN-13 9789811518560

Sprog Engelsk

Indbinding Paperback

Sider 112

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 21 jan 2020

Oplagsdato 21 jan 2020

Forlag Springer Verlag, Singapore