Updated on 2024/09/28

Information

 

写真a

 
YAMAZAKI DAISUKE
 
Organization
Faculty of Economics Department of Economic Engineering Associate Professor
School of Economics Department of Economic Engineering(Concurrent)
Graduate School of Economics Department of Economic Engineering(Concurrent)
Joint Graduate School of Mathematics for Innovation (Concurrent)
Title
Associate Professor
Contact information
メールアドレス
External link

Degree

  • Ph.D. in Economics

Research Interests・Research Keywords

  • Research theme: Research on structural breaks for time series and panel data models

    Keyword: structural break, long-run variance

    Research period: 2012.4

Papers

  • Improved confidence sets for the date of a structural break Reviewed International journal

    Daisuke Yamazaki

    Econometric Reviews   40   257 - 289   2021.4

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    Language:English   Publishing type:Research paper (scientific journal)  

    Prior studies have proposed constructing confidence sets for the break date by inverting a sequence of tests for the date of a structural break. In this study, we improve these confidence sets by taking the direction of the break into account. Even when the break direction is unknown, we can consistently estimate it, enabling us to use the proposed method. Simulation results show that the proposed method effectively reduces the length of the confidence sets, while maintaining a good coverage rate. An empirical example illustrates the usefulness of the proposed method.

    DOI: https://doi.org/10.1080/07474938.2020.1780730

    Other Link: https://www.tandfonline.com/doi/full/10.1080/07474938.2020.1780730

  • Improving the finite sample performance of tests for a shift in mean Reviewed International journal

    Daisuke Yamazaki, Eiji Kurozumi

    Journal of Statistical Planning and Inference   167   144 - 173   2015.12

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    Language:English   Publishing type:Research paper (scientific journal)  

    It is widely known that structural break tests based on the long-run variance estimator, which is estimated under the alternative, suffer from serious size distortion when the errors are serially correlated. In this paper, we propose bias-corrected tests for a shift in mean by correcting the bias of the long-run variance estimator up to O(1/T). Simulation results show that the proposed tests have good size and high power.

    DOI: http://doi.org/10.1016/j.jspi.2015.05.002

    Other Link: http://www.sciencedirect.com/science/article/pii/S0378375815000968

  • 世界178カ国・地域の携帯電話普及に関する構造変化点分析 ―グローバルな普及加速期の特定― Reviewed International journal

    山崎 大輔, 篠﨑 彰彦

    社会情報学   11 ( 2 )   15 - 28   2022.6

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: https://doi.org/10.14836/ssi.11.2_15

  • A Note on Asymptotic Properties of Time Series Models With a Trend Break International journal

    Daisuke Yamazaki

    SSRN   2021.11

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    Language:English  

    In this paper, we consider the asymptotic properties of time series models with a break in trend. We show that, for the model with a joint broken trend with stationary errors, the asymptotic properties depend on the break magnitude. When the break magnitude is greater than $O(T^{-1/2})$, the break date estimator is super-consistent, and the asymptotic properties of the estimators of the intercept and trend coefficients do not depend on whether the break date is known or estimated. These results indicate that the previously established results hold only under the "shrinking shift" asymptotic framework, in which the break magnitude shrinks to zero sufficiently fast. Simulation results illustrate that the finite sample approximation based on the proposed asymptotic theory works well.

    DOI: http://dx.doi.org/10.2139/ssrn.3917796

  • Testing for shifts in mean with monotonic power against multiple structural changes Reviewed International journal

    Daisuke Yamazaki

    Journal of Statistical Computation and Simulation   89 ( 11 )   2006 - 2030   2019.4

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    Language:English   Publishing type:Research paper (scientific journal)  

    It is known that several widely used structural change tests have non-monotonic power because the long-run variance is poorly estimated under the alternative hypothesis. In this paper, we propose a modified long-run variance estimator to alleviate this problem. We theoretically show that the tests with our long-run variance estimator are consistent against large multiple structural changes. Simulation results show that the proposed test performs well in finite samples.

    DOI: https://doi.org/10.1080/00949655.2019.1606916

    Other Link: https://www.tandfonline.com/doi/full/10.1080/00949655.2019.1606916

  • Synergy between an Improved Covariate Unit Root Test and Cross-sectionally Dependent Panel Data Unit Root Tests Reviewed International journal

    Kaddour Hadri, Eiji Kurozumi, Daisuke Yamazaki

    The Manchester School   83 ( 6 )   676 - 700   2015.12

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    Language:English   Publishing type:Research paper (scientific journal)  

    This paper proposes the use of an improved covariate unit root test which exploits the cross-sectional dependence information when the panel data null hypothesis of a unit root is rejected. More explicitly, to increase the power of the test, we suggest the utilization of more than one covariate and offer several ways to select the ‘best’ covariates from the set of potential covariates represented by the individuals in the panel. Employing our methods, we investigate the Prebish-Singer hypothesis for nine commodity prices. Our results show that this hypothesis holds for all but the price of petroleum.

    DOI: https://doi.org/10.1111/manc.12080

    Other Link: http://onlinelibrary.wiley.com/doi/10.1111/manc.12080/abstract

  • Testing for parameter constancy in the time series direction in panel data models Reviewed International journal

    Daisuke Yamazaki, Eiji Kurozumi

    Journal of Statistical Computation and Simulation   85 ( 14 )   2874 - 2902   2015.8

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    Language:English   Publishing type:Research paper (scientific journal)  

    We propose tests for parameter constancy in the time series direction in panel data models. We construct a locally best invariant test based on Tanaka [Time series analysis: nonstationary and noninvertible distribution theory. New York: Wiley; 1996] and an asymptotically point optimal test based on Elliott and Müller [Efficient tests for general persistent time variation in regression coefficients. Rev Econ Stud. 2006;73:907–940]. We derive the limiting distributions of the test statistics as T→∞ while N is fixed, and calculate the critical values by applying numerical integration and response surface regression. Simulation results show that the proposed tests perform well if we apply them appropriately.

    DOI: http://dx.doi.org/10.1080/00949655.2014.945089

    Other Link: http://www.tandfonline.com/doi/abs/10.1080/00949655.2014.945089

  • レベル・シフトの検定と検出力の非単調性 Reviewed

    山崎 大輔, 黒住 英司

    日本統計学会誌(シリーズJ)   44 ( 1 )   61 - 74   2014.9

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    本稿では,誤差項に系列相関が存在する場合の定数項シフトの検定について考察する.先行研究により,LMタイプの検定の検出力は,誤差項に系列相関がある場合には,構造変化の度合いが大きくなるほど検出力が下がってしまうという「検出力の非単調性問題」が存在することが知られている.一方,ワルド・タイプの検定では,検出力の非単調性問題は存在しないものの,検定のサイズが大幅に歪む場合がある.先行研究ではこれらの問題を回避する方法が提案されており,本稿でも,既存の方法をさらに修正することにより,有限標本特性がより優れている検定方法を提案する.新たな手法の有限標本特性は,モンテ・カルロ実験で分析され,サイズ・検出力の両面で,既存の検定よりも優れていてることが確認された.

    DOI: http://doi.org/10.11329/jjssj.44.61

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Presentations

  • Testing for a structural break in panel data models under general form of cross-section dependence

    山崎 大輔

    関西計量経済学研究会  2024.1 

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    Event date: 2024.1

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  • Testing for a structural break in panel data models under general form of cross-section dependence International conference

    山崎 大輔

    統計関連学会連合大会  2023.9 

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    Event date: 2023.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  • 世界178カ国・地域のICT普及に関する構造変化点分析 ―モバイル技術のグローバルな普及加速期の特定―

    山崎 大輔

    2021.9 

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    Event date: 2021.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン   Country:Japan  

    Repository Public URL: https://hdl.handle.net/2324/4067783

  • Re-analysis of asymptotic properties for time series models with a trend break

    山崎 大輔

    2021年度統計関連学会連合大会  2021.9 

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    Event date: 2021.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン   Country:Japan  

  • A modified sequential procedure to estimate the number of breaks in trend International conference

    Daisuke Yamazaki

    4th International Conference on Econometrics and Statistics (EcoSta 2021)  2021.6 

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    Event date: 2021.6

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Online  

  • Modified sequential procedure to estimate the number of breaks in trend

    山崎 大輔

    関西計量経済学研究会  2020.1 

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    Event date: 2020.1

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:一橋大学   Country:Japan  

  • Consistent sequential estimation of the number of breaks in trend

    山崎 大輔

    統計関連学会連合大会  2019.9 

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    Event date: 2019.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:滋賀大学   Country:Japan  

  • Improved Confidence Sets for the Date of a Structural Break

    山崎 大輔

    関西計量経済学研究会  2019.1 

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    Event date: 2019.1

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:宮崎公立大学   Country:Japan  

  • An improved confidence set for the break date of a single parameter

    山崎 大輔

    統計関連学会連合大会  2018.9 

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    Event date: 2018.9 - 2019.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:中央大学   Country:Japan  

  • An Improved Test for Multiple Mean Shifts of a Time Series

    山崎 大輔

    統計関連学会連合大会  2017.9 

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    Event date: 2017.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:南山大学   Country:Japan  

  • An Improved Test for Multiple Mean Shifts of a Time Series Invited International conference

    Daisuke Yamazaki

    The 26th South Taiwan Statistics Conference and 2017 Chinese Institute of Probability and Statistics Annual Meeting  2017.6 

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    Event date: 2017.6

    Language:English   Presentation type:Oral presentation (general)  

    Venue:National Taipei University   Country:Taiwan, Province of China  

    In order to test for shifts in the mean of a time series, we need to estimate the long-run variance of the error term for the scale adjustment. If we estimate the long-run variance under the null hypothesis of no mean shifts, the tests have non-monotonic power. On the other hand, if we estimate the long-run variance assuming mean shifts, the tests have serious size distortion. In order to cope with the problems associated with the estimation of the long-run variance, we develop an improved test for multiple mean shifts by using the bias-corrected long-run variance estimator based on Yamazaki and Kurozumi (2015). We find through simulations that the proposed test has good finite sample properties.

  • An Improved Test for Cross-Section Independence in Panel Data Models with Serially Correlated Errors

    山崎 大輔

    関西計量経済学研究会  2017.1 

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    Event date: 2017.1

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:広島大学   Country:Japan  

  • An Improved Test for Cross-Section Independence in Panel Data Models with Serially Correlated Errors International conference

    Daisuke Yamazaki

    The 2016 Japan-Korea Allied Conference in Econometrics  2016.11 

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    Event date: 2016.11

    Language:English   Presentation type:Oral presentation (general)  

    Venue:一橋大学   Country:Japan  

  • Testing for Shifts in Mean with Monotonic Power against Multiple Structural Changes

    山崎 大輔

    関西計量経済学研究会  2016.1 

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    Event date: 2016.1

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:東京大学   Country:Japan  

  • Testing for Shifts in Mean with Monotonic Power against Multiple Structural Changes

    山崎 大輔

    統計関連学会連合大会  2015.9 

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    Event date: 2015.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:岡山大学   Country:Japan  

  • Testing for Shifts in Mean with Monotonic Power against Multiple Structural Changes International conference

    Daisuke Yamazaki

    The 11th International Symposium on Econometric Theory and Applications (SETA 2015)  2015.5 

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    Event date: 2015.5

    Language:English   Presentation type:Oral presentation (general)  

    Venue:一橋大学   Country:Japan  

  • Improving the Finite Sample Performance of Tests for a Shift in Mean International conference

    Daisuke Yamazaki

    The 2014 Hitotsubashi-Sogang Conference on Econometrics  2014.12 

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    Event date: 2014.12

    Language:English   Presentation type:Oral presentation (general)  

    Venue:西江大学   Country:Korea, Republic of  

  • Improving the Finite Sample Performance of Tests for a Shift in Mean

    山崎 大輔

    統計関連学会連合大会  2014.9 

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    Event date: 2014.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:東京大学   Country:Japan  

  • Improving the Finite Sample Performance of Tests for a Shift in Mean International conference

    Daisuke Yamazaki

    The 10th International Symposium on Econometric Theory and Applications (SETA 2014)  2014.5 

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    Event date: 2014.5

    Language:English   Presentation type:Oral presentation (general)  

    Venue:中央研究院   Country:Taiwan, Province of China  

  • Improving the Finite Sample Performance of Tests for a Shift in Mean

    山崎 大輔

    関西計量経済学研究会  2014.1 

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    Event date: 2014.1

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:京都大学   Country:Japan  

  • Testing for Parameter Constancy in the Time-Series Direction in Fixed-Effect Panel Data Models

    Daisuke Yamazaki

    The 9th International Symposium on Econometric Theory and Applications (SETA 2013)  2013.7 

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    Event date: 2013.7

    Language:English   Presentation type:Oral presentation (general)  

    Venue:成均館大学   Country:Korea, Republic of  

  • Testing for Parameter Constancy in the Time-Series Direction in Fixed-Effect Panel Data Models

    山崎 大輔

    日本経済学会春季大会  2013.6 

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    Event date: 2013.6

    Language:Japanese  

    Venue:富山大学   Country:Japan  

  • Testing for Parameter Constancy in the Time-Series Direction in Fixed-Effect Panel Data Models

    山崎 大輔

    関西計量経済学研究会  2013.1 

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    Event date: 2013.1

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:一橋大学   Country:Japan  

  • Testing for Parameter Constancy in the Time-Series Direction in Fixed-Effect Panel Data Models

    Daisuke Yamazaki

    The 2012 Hitotsubashi-Sogang Conference on Econometrics  2012.11 

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    Event date: 2012.11

    Language:English   Presentation type:Oral presentation (general)  

    Venue:西江大学   Country:Korea, Republic of  

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MISC

  • 世界178カ国・地域のICT普及に関する構造変化点分析 -モバイル技術のグローバルな普及加速期の特定-

    山崎大輔、根本大輝、篠﨑彰彦

    InfoCom Economic Study Discussion Paper No.15   2020.9

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    Language:Japanese  

Professional Memberships

  • 社会情報学会

  • Kyushu Association of Economic Science

  • Japan Statistical Society

  • Japanese Economic Association

Academic Activities

  • 『経済学研究』

    2017.4 - 2021.6

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    Type:Academic society, research group, etc. 

Research Projects

  • クロスセクション間の相関や異質性を考慮した構造変化分析手法の構築

    Grant number:21K13272  2021 - 2024

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Early-Career Scientists

    山崎 大輔

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    Authorship:Principal investigator  Grant type:Scientific research funding

    マクロ経済データを用いた実証分析を行う際には、構造変化についての考察を行う必要がある。また、近年ではパネルデータを用いることが可能になっている。パネルデータでは、クロスセクション間(個体間)の相関や異質性がある場合が多く、このことを考慮せずに実証分析を行った場合には、信頼できる分析結果が得られなくなる。そこで本研究では、クロスセクション間の相関や異質性を考慮した上で、パネルデータモデルにおける構造変化の分析手法(構造変化の検定方法や、構造変化が起きた時点の推定方法など)を開発する。

    CiNii Research

  • 構造変化や複雑な相関構造に対して頑健な統計理論の構築

    2016

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for JSPS Fellows

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    Authorship:Principal investigator  Grant type:Scientific research funding

  • 非定常パネルデータ分析に関する理論の研究

    2012 - 2014

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for JSPS Fellows

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    Authorship:Principal investigator  Grant type:Scientific research funding

Educational Activities

  • 経済学部では、計量経済学に関連した講義・演習を担当している。基本科目「基礎計量経済学Ⅰ」・「基礎計量経済学Ⅱ」では、実証分析を行う上で必要な計量経済学の内容を扱っている。選択必修科目「上級計量経済学」では、さらに発展的な計量経済学のトピックを扱っている。演習(ゼミ)では、統計学・計量経済学のテキストの輪読や、コンピュータを用いた実習を行っている。経済学府の「計量分析Ⅰ/ Econometrics I」および「計量経済学特研・Topics in Economics」では、大学院レベルの計量経済学に関するトピックを扱っている。

Class subject

  • 基礎計量経済学Ⅱ

    2024.12 - 2025.2   Winter quarter

  • 計量経済学特研Ⅱ

    2024.10 - 2025.3   Second semester

  • 計量分析Ⅰ/Econometrics I

    2024.10 - 2024.12   Fall quarter

  • 基礎計量経済学Ⅰ

    2024.10 - 2024.12   Fall quarter

  • 経済工学演習

    2024.4 - 2025.3   Full year

  • 計量経済学特研Ⅰ/Topics in Economics (Econometric Analysis)

    2024.4 - 2024.9   First semester

  • 上級計量経済学

    2024.4 - 2024.9   First semester

  • 基礎計量経済学Ⅱ

    2023.12 - 2024.2   Winter quarter

  • 基礎計量経済学Ⅰ

    2023.10 - 2023.12   Fall quarter

  • 計量分析Ⅰ / Econometrics I

    2023.10 - 2023.12   Fall quarter

  • 経済工学演習

    2023.4 - 2024.3   Full year

  • 計量経済学特研Ⅱ

    2023.4 - 2023.9   First semester

  • 上級計量経済学

    2023.4 - 2023.9   First semester

  • 計量経済学特研Ⅰ / Topics in Economics (Econometric Analysis)

    2023.4 - 2023.9   First semester

  • 経済工学基礎セミナー

    2022.12 - 2023.2   Winter quarter

  • 基礎計量経済学Ⅱ

    2022.12 - 2023.2   Winter quarter

  • 計量経済学特研Ⅱ

    2022.10 - 2023.3   Second semester

  • 計量分析Ⅰ / Econometrics I

    2022.10 - 2022.12   Fall quarter

  • 経済工学演習

    2022.4 - 2023.3   Full year

  • 上級計量経済学

    2022.4 - 2022.9   First semester

  • 計量経済学特研Ⅰ / Topics in Economics (Econometric Analysis)

    2022.4 - 2022.9   First semester

  • 基礎計量経済学Ⅱ

    2021.12 - 2022.2   Winter quarter

  • 計量経済学特研Ⅱ

    2021.10 - 2022.3   Second semester

  • 上級計量経済学

    2021.10 - 2022.3   Second semester

  • 計量分析Ⅰ / Econometrics I

    2021.10 - 2021.12   Fall quarter

  • 経済工学プレセミナー

    2021.6 - 2021.8   Summer quarter

  • 経済工学演習

    2021.4 - 2022.3   Full year

  • 計量経済学特研Ⅰ / Topics in Economics (Econometric Analysis)

    2021.4 - 2021.9   First semester

  • 基礎計量経済学Ⅱ

    2020.12 - 2021.2   Winter quarter

  • 上級計量経済学

    2020.10 - 2021.3   Second semester

  • 計量経済学特研Ⅱ

    2020.10 - 2021.3   Second semester

  • 計量分析Ⅰ / Econometrics I

    2020.10 - 2020.12   Fall quarter

  • 経済工学演習

    2020.4 - 2021.3   Full year

  • リサーチ・ワークショップ

    2020.4 - 2021.3   Full year

  • 計量経済学特研Ⅰ/Topics in Economics (Econometric Analysis)

    2020.4 - 2020.9   First semester

  • Econometrics Ⅰ

    2019.10 - 2020.3   Second semester

  • 基礎計量経済学Ⅱ

    2019.10 - 2020.3   Second semester

  • 計量経済学特研Ⅱ

    2019.10 - 2020.3   Second semester

  • 経済工学演習

    2019.4 - 2020.3   Full year

  • リサーチ・ワークショップ

    2019.4 - 2020.3   Full year

  • 上級計量経済学

    2019.4 - 2019.9   First semester

  • 計量経済学特研Ⅰ

    2019.4 - 2019.9   First semester

  • Econometrics Ⅰ

    2018.10 - 2019.3   Second semester

  • 計量経済学特研Ⅱ

    2018.10 - 2019.3   Second semester

  • 計量経済学Ⅱ

    2018.10 - 2019.3   Second semester

  • 経済工学演習

    2018.4 - 2019.3   Full year

  • 計量経済学特研Ⅰ

    2018.4 - 2018.9   First semester

  • 上級計量経済学

    2018.4 - 2018.9   First semester

  • 計量経済学特研Ⅱ

    2017.10 - 2018.3   Second semester

  • 計量経済学Ⅱ

    2017.10 - 2018.3   Second semester

  • 経済工学演習

    2017.4 - 2018.3   Full year

  • 計量経済学特研Ⅰ

    2017.4 - 2017.9   First semester

  • 経済工学基本演習

    2017.4 - 2017.9   First semester

  • 上級計量経済学

    2017.4 - 2017.9   First semester

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FD Participation

  • 2023.11   Role:Participation   Title:経済学研究院FD研修会

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2023.2   Role:Participation   Title:経済学研究院FD研修会

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2022.10   Role:Participation   Title:経済学研究院FD研修会

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2021.9   Role:Participation   Title:経済学研究院FD研修会

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2020.10   Role:Participation   Title:経済学研究院FD研修会

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2020.7   Role:Participation   Title:経済学研究院FD研修会

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2020.4   Role:Participation   Title:経済学研究院FD研修会

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2019.11   Role:Participation   Title:経済学研究院FD研修会

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2019.7   Role:Participation   Title:経済学研究院FD研修会

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2018.10   Role:Participation   Title:経済学研究院FD研修会

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2018.6   Role:Participation   Title:経済学研究院FD研修会

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2017.11   Role:Participation   Title:経済学研究院FD研修会

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2017.6   Role:Participation   Title:経済学研究院FD研修会

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2017.4   Role:Participation   Title:第1回全学FD

    Organizer:University-wide

▼display all

Visiting, concurrent, or part-time lecturers at other universities, institutions, etc.

  • 2015  神奈川大学経済学部  Classification:Part-time lecturer  Domestic/International Classification:Japan