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Author: Koji Miyawaki
Publisher: Springer Nature
ISBN: 9811518572
Category : Business & Economics
Languages : en
Pages : 120
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Book Description
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.
Author: Koji Miyawaki
Publisher: Springer Nature
ISBN: 9811518572
Category : Business & Economics
Languages : en
Pages : 120
Get Book Here
Book Description
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.
Author: Richard Michael Cyert
Publisher: Rowman & Littlefield
ISBN: 9780847674718
Category : Business & Economics
Languages : en
Pages : 234
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Book Description
No descriptive material is available for this title.
Author: Nicholas M. Kiefer
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 36
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Book Description
Author: William James McCausland
Publisher: Montréal : Centre interuniversitaire de recherche en économie quantitative
ISBN: 9782893824871
Category :
Languages : en
Pages : 27
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Book Description
Author: George F. Brown (Jr.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 28
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Book Description
Often the analysis of demand for spare parts fails to take into consideration the uncertainty of such demand in making inventory procurement and stockage decisions. The model developed in the paper provides for unified treatment of the related problems of statistical estimation of demand and resource allocation within the inventory system. Incorporated in the model are forms of uncertainty such as varying missions, unpredictability of environments and the variety of maintenance procedures and the resulting rates of demand. An application of the model and analysis procedure to a number of parts currently being provisioned for the F-14 is described. (Author).
Author: Nguyen Ngoc Thach
Publisher: Springer Nature
ISBN: 3030986896
Category : Technology & Engineering
Languages : en
Pages : 865
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Book Description
This book overviews latest ideas and developments in financial econometrics, with an emphasis on how to best use prior knowledge (e.g., Bayesian way) and how to best use successful data processing techniques from other application areas (e.g., from quantum physics). The book also covers applications to economy-related phenomena ranging from traditionally analyzed phenomena such as manufacturing, food industry, and taxes, to newer-to-analyze phenomena such as cryptocurrencies, influencer marketing, COVID-19 pandemic, financial fraud detection, corruption, and shadow economy. This book will inspire practitioners to learn how to apply state-of-the-art Bayesian, quantum, and related techniques to economic and financial problems and inspire researchers to further improve the existing techniques and come up with new techniques for studying economic and financial phenomena. The book will also be of interest to students interested in latest ideas and results.
Author:
Publisher:
ISBN:
Category : Water resources development
Languages : en
Pages : 408
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Book Description
Author:
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 1272
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Author: Laura L.R. Rifo
Publisher:
ISBN:
Category :
Languages : en
Pages : 16
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Book Description
Author: Garrett Sonnier
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 290
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Book Description
