Yabu, Tomoyoshi

写真a

Affiliation

Faculty of Business and Commerce ( Mita )

Position

Professor

Related Websites

External Links

Career 【 Display / hide

  • 2005.09
    -
    2007.06

    日本銀行金融研究所

  • 2007.07
    -
    2009.03

    University of Tsukuba

Academic Background 【 Display / hide

  • 1999.03

    Hitotsubashi University, Graduate School, Division of Economics, 応用経済

    Graduate School, Completed, Master's course

  • 2006.01

    Boston University, Graduate School, Division of Economics

    United States, Graduate School, Completed, Doctoral course

Academic Degrees 【 Display / hide

  • MA, Hitotsubashi University, Coursework, 1999.03

  • Ph.D., Boston University, 2006.01

 

Research Areas 【 Display / hide

  • Humanities & Social Sciences / Economic statistics (Economic Statistics)

Research Keywords 【 Display / hide

  • International Finance

  • Time Series Econometrics

 

Books 【 Display / hide

  • 入門 実践する計量経済学

    藪友良, 東洋経済新報社, 2023.04,  Page: 426

  • 入門 実践する統計学

    藪友良, 東洋経済新報社, 2012.09,  Page: 358

Papers 【 Display / hide

  • The demand for money at the zero interest rate bound

    Watanabe T., Yabu T.

    Journal of Applied Econometrics 38 ( 6 ) 968 - 976 2023.09

    ISSN  08837252

     View Summary

    This paper undertakes both a narrow and wide replication of the estimation of a money demand function conducted by Ireland (American Economic Review, 2009). Using US data from 1980 to 2013, we show that the substantial increase in the money-income ratio during the period of near-zero interest rates is captured well by the log–log specification but not by the semi-log specification, contrary to the result obtained by Ireland (2009). Our estimate of the interest elasticity of money demand over the 1980–2013 period is about one-tenth that of Lucas's paper published in 2000, which used a log–log specification. Finally, neither specification satisfactorily fits post-2015 US data.

  • Japan’s voluntary lockdown: further evidence based on age-specific mobile location data

    Watanabe T., Yabu T.

    Japanese Economic Review 72 ( 3 ) 333 - 370 2021.07

    ISSN  13524739

     View Summary

    Changes in people’s behavior during the COVID-19 pandemic can be regarded as the result of two types of effects: the “intervention effect” (changes resulting from government orders for people to change their behavior) and the “information effect” (voluntary changes in people’s behavior based on information about the pandemic). Using age-specific mobile location data, we examine how the intervention and information effects differ across age groups. Our main findings are as follows. First, the age profile of the intervention effect shows that the degree to which people refrained from going out was smaller for older age groups, who are at a higher risk of serious illness and death, than for younger age groups. Second, the age profile of the information effect shows that the degree to which people stayed at home tended to increase with age for weekends and holidays. Thus, while Acemoglu et al. (2020) proposed targeted lockdowns requiring stricter lockdown policies for the oldest group in order to protect those at a high risk of serious illness and death, our findings suggest that Japan’s government intervention had a very different effect in that it primarily reduced outings by the young, and what led to the quarantining of older groups at higher risk instead was people’s voluntary response to information about the pandemic. Third, the information effect has been on a downward trend since the summer of 2020. It is relatively more pronounced among the young, so that the age profile of the information effect remains upward sloping.

  • Japan’s voluntary lockdown

    Watanabe T., Yabu T.

    Plos One 16 ( 6 June )  2021.06

     View Summary

    Japan’s government has taken a number of measures, including declaring a state of emergency, to combat the spread COVID-19. We examine the mechanisms through which the government’s policies have led to changes in people’s behavior. Using smartphone location data, we construct a daily prefecture-level stay-at-home measure to identify the following two effects: (1) the effect that citizens refrained from going out in line with the government’s request, and (2) the effect that government announcements reinforced awareness with regard to the seriousness of the pandemic and people voluntarily refrained from going out. Our main findings are as follows. First, the declaration of the state of emergency reduced the number of people leaving their homes by 8.5% through the first channel, which is of the same order of magnitude as the estimates obtained for lockdowns in the United States. Second, a 1% increase in new infections in a prefecture reduces people’s outings in that prefecture by 0.027%. Third, the government’s requests are responsible for about one quarter of the decrease in outings in Tokyo, while the remaining three quarters are the result of citizens obtaining new information through government announcements and the daily release of the number of infections. The findings suggest that what mattered for containing the spread of COVID-19 was not strong, legally binding measures but the provision of appropriate information that encouraged people to change their behavior.

  • Japanese Foreign Exchange Interventions, 1971-2018: Estimating a Reaction Function Using the Best Proxy

    Takatoshi Ito, Tomoyoshi Yabu

    Journal of the Japanese and International Economies  58 2020.12

    Research paper (scientific journal), Accepted

  • 為替介入と外貨準備―運用損益の長期推計

    伊藤隆敏、藪友良

    日本経済研究 (公益社団法人日本経済研究センター)  74   98 - 127 2017.03

    Research paper (scientific journal), Accepted

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Papers, etc., Registered in KOARA 【 Display / hide

Research Projects of Competitive Funds, etc. 【 Display / hide

  • 非線形時系列手法を用いたマクロ経済分析

    2020.04
    -
    2024.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Principal investigator

  • 非線形時系列手法を用いた為替レートの分析

    2017.04
    -
    2020.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Principal investigator

  • Time Series Analysis of Financial Data

    2014.04
    -
    2018.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Principal investigator

 

Courses Taught 【 Display / hide

  • STATISTICS 1

    2025

  • SEMINAR (QD)

    2025

  • SEMINAR (QC)

    2025

  • SEMINAR (QB)(PAST YEARS)

    2025

  • SEMINAR (QB)

    2025

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