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Enhancing the empirical applicability of structural change analysis in economic research(Fostering Joint International Research)

Research Project

Project/Area Number 15KK0111
Research Category

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

Allocation TypeMulti-year Fund
Research Field Economic statistics
Research InstitutionHitotsubashi University

Principal Investigator

Yamamoto Yohei  一橋大学, 大学院経済学研究科, 教授 (80633916)

Research Collaborator Perron Pierre  ボストン大学, 経済学部, 教授
Project Period (FY) 2016 – 2018
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥8,060,000 (Direct Cost: ¥6,200,000、Indirect Cost: ¥1,860,000)
Keywords構造変化 / 経済予測 / 疑似外挿期間 / 分散の構造変化 / 尤度比検定 / 将来予測 / 外挿期間 / 分散の変化を用いた識別 / 構造VAR / マクロ経済予測 / 投機的バブル
Outline of Final Research Achievements

In this research project, I have developed econometric methodologies and empirical applications pertaining to estimating and testing multiple structural changes. In particular, (A) joint testing for structural changes in the coefficients and those in the error variance and (B) testing for forecasting performance based on pseudo out-of-sample methods. The collaborator Professor Pierre Perron at Boston University is one of the leading researchers in this field and I had a great chance to visit him for extensive discussions and trial-and-errors in the final year. Thanks to this chance, I have produced several useful research outcomes and related future agendas.

Academic Significance and Societal Importance of the Research Achievements

本研究課題で対象とした構造変化分析は、例えば2000年代以降の世界金融危機やそれに続く大規模な経済政策により、経済社会構造が永続的に変化したか否かを理解するうえで、非常に重要な計量経済学手法である。従来から分析の対象となってきた経済モデルの係数だけでなく、予測値や、分散に代表されるより高次のモーメントにも構造変化が想定されるため、本研究課題で得られた成果は、今後とも広く活用されると考えている。

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 2017 2016 Other

All Int'l Joint Research (1 results) Journal Article (5 results) (of which Int'l Joint Research: 3 results,  Open Access: 5 results,  Peer Reviewed: 1 results,  Acknowledgement Compliant: 1 results) Presentation (5 results) (of which Int'l Joint Research: 5 results,  Invited: 1 results) Remarks (1 results)

  • [Int'l Joint Research] ボストン大学(米国)2017

    • Related Report
      2018 Annual Research Report
  • [Journal Article] Pitfalls of Two Step Testing for Changes in the Error Variance and Coefficients of a Linear Regression Model2019

    • Author(s)
      Pierre Perron, Yohei Yamamoto
    • Journal Title

      Graduate School of Economics, Hitotsubashi University Discussion Paper

      Volume: 1 Pages: 1-12

    • Related Report
      2018 Annual Research Report
    • Open Access / Int'l Joint Research
  • [Journal Article] Testing Jointly for Structural Changes in the Error Variance and Coefficients of a Linear Regression Model2019

    • Author(s)
      Pierre Perron, Yohei Yamamoto
    • Journal Title

      HIAS Discussion Paper

      Volume: E-85 Pages: 1-40

    • Related Report
      2018 Annual Research Report
    • Open Access / Int'l Joint Research
  • [Journal Article] Identifying Factor-Augmented Vector Autoregression Models via Changes in Shock Variances2018

    • Author(s)
      Yohei Yamamoto
    • Journal Title

      HIAS Discussion Paper

      Volume: E-72 Pages: 1-38

    • Related Report
      2018 Annual Research Report
    • Open Access
  • [Journal Article] Testing for Changes in Forecasting Performance2018

    • Author(s)
      Pierre Perron, Yohei Yamamoto
    • Journal Title

      Graduate School of Economics, Hitotsubashi University Discussion Paper

      Volume: 3 Pages: 1-38

    • Related Report
      2018 Annual Research Report
    • Open Access / Int'l Joint Research
  • [Journal Article] A Modified Confidence Set for the Structural Break Date in Linear Regression Models2016

    • Author(s)
      Yohei Yamamoto
    • Journal Title

      Econometric Reviews

      Volume: 印刷中 Issue: 9 Pages: 974-999

    • DOI

      10.1080/00927872.2016.1178892

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Presentation] Identifying Factor-Augmented Vector Autoregression Models via Changes in Shock Variances2018

    • Author(s)
      Yohei Yamamoto
    • Organizer
      12th International Conference on Computational and Financial Econometrics
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Identifying Factor-Augmented Vector Autoregression Models via Changes in Shock Variances2018

    • Author(s)
      Yohei Yamamoto
    • Organizer
      Midwest Econometric Conference
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Identifying Factor-Augmented Vector Autoregression Models via Changes in Shock Variances2018

    • Author(s)
      Yohei Yamamoto
    • Organizer
      Econometrics Seminar, Boston University
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Identifying Factor-Augmented Vector Autoregression Models via Changes in Shock Variances2018

    • Author(s)
      Yohei Yamamoto
    • Organizer
      Economics Seminar, McGill University
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Identifying Factor-Augmented Vector Autoregression Models via Changes in Shock Variances2018

    • Author(s)
      Yohei Yamamoto
    • Organizer
      5th Conference of International Association for Applied Econometrics
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Remarks] 研究代表者ホームページ

    • URL

      https://sites.google.com/site/yoheiyama/research

    • Related Report
      2018 Annual Research Report

URL: 

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

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