ベイズ型統計モデルによる日本経済の地域分析 Regional Analysis of the Japanese Economy Based on Bayesian Modeling

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Author(s)

    • 姜 興起 KYO Koki
    • 帯広畜産大学 畜産学部 Department of Agro-Environmental Science, Obihiro University of Agriculture and Veterinary Medicine

Abstract

This paper aims to develop an alternative framework for empirical analysis of regional economic growth. We apply our proposed method to analyzing the Total Factor Productivity (TFP) changes in regional economies and structural characteristics among the regions in Japan. Conventional approaches to empirical analysis of regional economic growth are insufficient for an appropriate description of the complicated behavior of TFP. Accordingly, we assume that TFP is a time-varying parameter and estimate it using a Bayesian method that employs a smoothness priors approach. Compared with conventional approaches, this application of the Bayesian method facilitates a more detailed and sophisticated analysis of TFP. A major finding of the analysis is a significant change in the TFP trends of the Japanese economy, beginning around the time of the first oil shock. Furthermore, our analytical results suggest a meaningful direction for government policies to promote economic growth in Japan. <br>

Journal

  • Transactions of the Institute of Systems, Control and Information Engineers

    Transactions of the Institute of Systems, Control and Information Engineers 23(2), 19-28, 2010-02-15

    THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)

References:  15

Codes

  • NII Article ID (NAID)
    10026358852
  • NII NACSIS-CAT ID (NCID)
    AN1013280X
  • Text Lang
    ENG
  • Article Type
    ART
  • ISSN
    13425668
  • NDL Article ID
    10549443
  • NDL Source Classification
    ZM11(科学技術--科学技術一般--制御工学)
  • NDL Call No.
    Z14-195
  • Data Source
    CJP  NDL  J-STAGE 
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