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Multivariate econometric analysis of time series data of foreign exchange rates and domestic prices in the presence of structural breaks (Fostering Joint International Research)

Research Project

Project/Area Number 15KK0141
Research Category

Fund for the Promotion of Joint International Research (Fostering Joint International Research)

Allocation TypeMulti-year Fund
Research Field Economic policy
Research InstitutionFukuoka University

Principal Investigator

Kurita Takamitsu  福岡大学, 経済学部, 教授 (20454928)

Research Collaborator Nielsen Bent  University of Oxford, Nuffield College and the Department of Economics, Professor of Econometrics
Jennifer L. Castle  University of Oxford, Magdalen College and the Institute for New Economic Thinking at the Oxford Martin School, Senior Research Fellow
Project Period (FY) 2016 – 2018
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Keywords経済政策 / 為替レート・物価 / 時系列データ / 時系列分析 / ルーカス批判 / 超外生性 / 弱外生性
Outline of Final Research Achievements

I pursued advanced econometric research on cointegrated vector autoregressive (CVAR) models allowing for structural breaks so as to address various issues related to the Lucas critique, a well-known critique against the use of econometric models in evaluating economic policies. The research project consisted of the following three stages: (1) developing required mathematical econometric theories, (2) conducting a series of Monte Carlo simulation analyses and (3) modeling and analyzing real-life time series data. I clarified the importance of a class of exogenous variables in drawing inference for quantitative policy evaluations using CVAR models. I presented the outcome of the research at various conferences and seminars. I also wrote a series of research papers and submitted them to academic peer-reviewed journals.

Academic Significance and Societal Importance of the Research Achievements

構造変化に配慮した多変量時系列分析手法の開発とそれを用いた様々な実証研究により、金融政策をはじめとしたマクロ経済政策に関してデータに基づく知見を得ることができ、開放経済における今後のマクロ経済政策の決定等において有益な定量的研究を行うことができた。

Report

(4 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • 2016 Research-status Report
  • Research Products

    (12 results)

All 2019 2018

All Int'l Joint Research (1 results) Journal Article (3 results) (of which Int'l Joint Research: 2 results,  Open Access: 3 results) Presentation (8 results) (of which Int'l Joint Research: 1 results)

  • [Int'l Joint Research] オックスフォード大学(英国)2018

    • Year and Date
      2018-03-01
    • Related Report
      2018 Annual Research Report
  • [Journal Article] On useful implications of super exogeneity for small-sample inference in a cointegrated vector autoregression2019

    • Author(s)
      Kurita, T.
    • Journal Title

      CAES Working Paper, Fukuoka University

      Volume: WP-2019-001 Pages: 1-22

    • Related Report
      2018 Annual Research Report
    • Open Access
  • [Journal Article] Modelling and forecasting the dollar-pound exchange rate in the presence of structural breaks2019

    • Author(s)
      Castle, J. L. and Kurita, T.
    • Journal Title

      Department of Economics Discussion Paper, University of Oxford

      Volume: Ref: 866 Pages: 1-35

    • Related Report
      2018 Annual Research Report
    • Open Access / Int'l Joint Research
  • [Journal Article] Partial cointegrated vector autoregressive models with structural breaks in deterministic terms2018

    • Author(s)
      Kurita, T. and Nielsen, B.
    • Journal Title

      Nuffield College Economics Discussion Paper, University of Oxford

      Volume: 2018-W03 Pages: 1-38

    • Related Report
      2018 Annual Research Report
    • Open Access / Int'l Joint Research
  • [Presentation] Partial cointegrated vector autoregressive models with structural breaks in deterministic terms2019

    • Author(s)
      Kurita, T.
    • Organizer
      21st Dynamic Econometrics Conference, Washington DC
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Partial cointegrated vector autoregressive models with structural breaks in deterministic terms2019

    • Author(s)
      Kurita, T.
    • Organizer
      Research Seminar, ESSEC Business School
    • Related Report
      2018 Annual Research Report
  • [Presentation] On useful implications of super exogeneity for small-sample inference in a cointegrated vector autoregression2018

    • Author(s)
      Kurita, T.
    • Organizer
      Nuffield Econometrics/INET Seminar, Department of Economics, University of Oxford
    • Related Report
      2018 Annual Research Report
  • [Presentation] On useful implications of super exogeneity for small-sample inference in a cointegrated vector autoregression2018

    • Author(s)
      Kurita, T.
    • Organizer
      Economics Seminar, Department of Economics, University of Reading
    • Related Report
      2018 Annual Research Report
  • [Presentation] Partial cointegrated vector autoregressive models with structural breaks in deterministic terms2018

    • Author(s)
      Kurita, T.
    • Organizer
      Department Seminar, Department of Economics, Norwegian University of Science and Technology (NTNU), Dragvoll
    • Related Report
      2018 Annual Research Report
  • [Presentation] Partial cointegrated vector autoregressive models with structural breaks in deterministic terms2018

    • Author(s)
      Kurita, T.
    • Organizer
      Research Seminar, Statistics Norway
    • Related Report
      2018 Annual Research Report
  • [Presentation] Partial cointegrated vector autoregressive models with structural breaks in deterministic terms2018

    • Author(s)
      Kurita, T.
    • Organizer
      Department Seminar, Department of Economics, University of Copenhagen
    • Related Report
      2018 Annual Research Report
  • [Presentation] Partial cointegrated vector autoregressive models with structural breaks in deterministic terms2018

    • Author(s)
      Kurita, T.
    • Organizer
      第26回関西計量経済学研究会
    • Related Report
      2018 Annual Research Report

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Published: 2016-10-04   Modified: 2020-03-30  

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