Updated on 2024/07/28

Information

 

写真a

 
SUGA FUMIHIKO
 
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)
Title
Associate Professor
Profile
My research interests include labor economics and applied micro-econometrics. Especially, I am specialized in empirical research using micro-data on households and individuals.
External link

Degree

  • Ph.D. in Economics

Research Interests・Research Keywords

  • Research theme: Impact of Real Asset Price Bubble on Household Resource Allocation and Utility over the Lifecycle

    Keyword: Housing, Life cycle, Credit constraints

    Research period: 2018.4 - 2021.3

  • Research theme: Research on income inequality in Japan for the 1990s and 2000s

    Keyword: income inequality

    Research period: 2016.12

  • Research theme: Estimation of the effect of postgraduate education in Japan

    Keyword: Postgraduate education, wage function, instrumental variable, local average treatment effect

    Research period: 2016.6 - 2019.12

Papers

  • The Impact of the Rise and Collapse of Japan’s Housing Price Bubble on Households’ Lifetime Utility Reviewed International journal

    Takeshi Niizeki, @Fumihiko Suga

    Journal of the Japanese and International Economies   2021.4

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

    DOI: https://doi.org/10.1016/j.jjie.2021.101136

    Repository Public URL: https://hdl.handle.net/2324/7174483

  • The Returns to Postgraduate Education in Japan Reviewed International journal

    @Fumihiko Suga

    The Japanese Economic Review   1 - 26   2020.10

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

    The number of graduate students in Japan has increased substantially over the past few decades. Figure 1, which presents the number of students enrolled in master's programs in private and public universities, illustrates this trend: graduate enrollment followed a steady upward trend from the 1970s until the first decade of the 21st century, although this trend has declined to a certain extent in recent years (reflecting overall population trends).

    DOI: https://doi.org/10.1007/s42973-019-00014-x

    Repository Public URL: https://hdl.handle.net/2324/7177948

  • Do the Rich Save More in Japan? Evidence Based on two Micro Data Sets for the 2000s Reviewed International journal

    Masahiro Hori, Koichiro Iwamoto, Takeshi Niizeki, @Fumihiko Suga

    Japanese Economic Review   67 ( 4 )   474 - 494   2016.12

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

    DOI: https://doi.org/10.1111/jere.12107

  • Measuring Income Inequality in Japan Using Accurate Sampling Weights

    堀 雅博、前田 佐恵子、@菅 史彦

    ESRI Discussion Paper Series   2023.5

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    Language:English   Publishing type:Research paper (bulletin of university, research institution)  

    This study attempts to provide an overview of income inequality in Japan for the 1990s and the 2000s, using the Comprehensive Survey of Living Conditions (CSLC) data. We calculate four income inequality measures based on eight income definitions. To measure the income inequality with a precision greater than that of the previous studies, we create the sampling weights using micro-data from the Population Census. We find that income inequality measures calculated using
    Population-Census weights are higher than those without weighting adjustment and those adjusted with provided weights. Although the levels of inequality measures are higher, weighting adjustments do not seem to have a significant impact on the trend of inequality measures. We also find that the level and the upward trend are less pronounced if imputed rent is considered. Moreover, we attempt to find the cause of the rise in inequality. We find that, on an equivalized disposable income basis, 31.6 to 57.4% of the rise in income inequality can be explained by the changes in the demographic structure and the composition of households for the 1990s. Among others, the aging of the population, changes in household composition, and a decrease in the number of workers had a large impact on the rise in income inequality.

  • The Gender Gap in the Returns From College Education in Japan: The Impact of Attending a High-Ranking College. Reviewed International journal

    @浦川邦夫、@李文

    Social Science Japan Journal   ( 26 )   61 - 75   2023.5

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

  • 日本における大学院賃金プレミアム Invited

    @浦川邦夫,@李文

    日本労働研究雑誌   ( 742 )   2022.5

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

    日本では,政府の政策によって大学院定員の拡充が行われ,その結果大学院進学者数は過去40年の間に4倍に増加した。大学院教育によって人的資本が蓄積されるのであれば,このような大学院拡充は経済成長にプラスの効果を持つと期待できる。しかし,大学院教育によってどのくらい人的資本は蓄積されるのかを知ることは容易ではない。それを知るためのおそらく最も簡単な方法は,学部卒の労働者と大学院卒の労働者の賃金を比較することであるが,そのような賃金格差には,労働者の「自己選択」によって生じるバイアスが含まれる。そのため,本研究では,自己選択に関係の深い変数を含む,『消費生活に関するパネル調査』『ワーキングパーソン調査』『国際成人力調査』『地域の生活環境と幸福感に関するアンケート』の4つ調査から得られたデータを用いて,大学院賃金プレミアムを推定した。追加で回帰式に含められた変数は,労働者の学部での専攻,卒業した大学の種類(国公立/私立)とランク,認知能力指標,および両親の教育レベルである。分析の結果,これらの要因は,推定された大学院賃金プレミアムのうち,男性で最大34.4%,女性で最大26.2%程度を説明するが,これらの要因を考慮しても大学院賃金プレミアムは正で有意であった。推定された大学院賃金プレミアムは,男性で14.7%~23.7%,女性で13.5%~26.4%ほどであった。

  • Are Social Norms Associated with Married Women’s Labor Force Participation? A Comparison of Japan and the United States Reviewed International journal

    @浦川邦夫,@李文

    Journal of Family and Economic Issues   1 - 13   2022.1

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

    Although the social-economic status of women has improved worldwide, with several factors reducing gender differences in labor participation and income equality, a substantial gender gap persists. The goal of this study is to determine how the gender gap is associated with social norms. Specifically, within the context of gender roles, we examine the social norm that wives should not earn more than their husbands. We estimate a model that explains wives’ labor force participation in terms of the probability of wives earning more than their husbands by applying an estimation procedure that accounts for potential bias arising from self-selection into employment. Since the impact of social norms can vary in different cultural contexts, we compare the estimation results using datasets obtained from surveys conducted in Japan and the US—representing Eastern and Western cultures, respectively. Our results indicate that a 10 percentage point increase in the probability of wives earning more than their husbands is associated with an 8 percentage point decrease in their labor force participation rate in Japan, whereas the probability of wives earning more is not significant when the model is estimated using U.S. data. Thus, wives’ labor force participation decisions can be related to the social norm more closely in Japan than in the US, reflecting the different social status of women in these countries.

    DOI: https://doi.org/10.1007/s10834-021-09815-y

    Other Link: https://link.springer.com/article/10.1007/s10834-021-09815-y

  • In Search of Accurate Measures of Income Inequality across Japanese Households

    堀 雅博、前田佐恵子、@菅 史彦

    ESRI Discussion Paper Series   2020.12

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    Language:English   Publishing type:Research paper (bulletin of university, research institution)  

    Using microdata from the National Survey on Family Income and Expenditure (NSFIE), this study tries to provide new accurate measures of income inequality across households in Japan from the 1990s to the 2000s. In order to correct for potential biases in conventional measures, we use microdata from the Population Census to construct original sampling weights. We calculate multiple income inequality measures, such as the Gini coefficient, the relative poverty rate, the mean log deviation (MLD) of income, and the log variance (LV) of income, with our original sampling weights and find that actual income inequality across Japanese households likely is larger than suggested in earlier studies. Further, while our new estimates confirm the findings of previous studies that income inequality increased throughout the 1990s and 2000s, the rate of increase for disposable income was quite moderate due to the redistributive effects of the tax and social security system. We also find that approximately 40-50% of the increase in income inequality in the 1990s and 30-40% of the increase in the 2000s resulted from changes in household compositions, such as a decrease in the number of family members living together and increases in the shares of jobless households and dual-income households.

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Presentations

  • Heterogeneous Preference and Insurance Role of Income Redistribution Systems International conference

    @菅 史彦

    Asian and Australasian Society of Labour Economics (AASLE)  2023.5 

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    Event date: 2023.12

    Language:English   Presentation type:Oral presentation (general)  

    Venue:国立台湾大学   Country:Taiwan, Province of China  

    This study aims to evaluate how income redistribution, achieved through progressive income tax and the social security system, functions as an insurance mechanism. We examine the extent to which income redistribution can mitigate the fluctuations in lifetime income/utility resulting from unexpected income shocks. In order to separate the variability stemming from differences in individual efforts, we develop a lifecycle model that incorporates heterogeneity in time preferences. We estimate the model using the data from the Japan Household Panel Survey (JHPS/KHPS). Using the estimated model, we conduct counterfactual simulations in which we adjust the progressivity of income tax to shrink the gap between the 25th and 75th percentile of overall income distribution by 5% while keeping tax revenue constant. We find that, even among those with the same time preference, the gap between the 25th and 75th percentile of lifetime income shrinks. When considering preference heterogeneity, the amount of shrinkage ranges from 68.97% to 92.30% of shrinkage of the gap in the overall distribution. Furthermore, we observe that approximately 80% of households experience an increase in the 25th percentile of lifetime utility, demonstrating an enhanced insurance effect, while 60% experience a decrease in the 75th percentile of lifetime utility.

  • Impact of Real Asset Price Bubble on Household Resource Allocation and Utility over a Lifecycle International conference

    菅 史彦

    The Econometric Society 2019 Asia Meeting  2019.6 

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    Event date: 2019.6

    Language:English   Presentation type:Oral presentation (general)  

    Venue:厦門大学   Country:China  

    This study estimates the impact of the dramatic changes in housing prices during Japan’s bubble from the late 1980s to the 1990s on households’ asset accumulation and utility over their life cycle. We construct a life-cycle model explaining households’ consumption/saving and housing decisions under collateral and borrowing constraints. We estimate this model using data from the Family Income and Expenditure Survey (FIES), which includes data on households’ housing wealth estimated from objective information. Using the estimated model, we then conduct a counterfactual simulation in which we assume that housing prices remained constant during the bubble period. Doing so allows us to quantify the gains/losses of lifetime utility due to the housing price boom and bust. We find that 72.2% of the households experienced an average decrease in lifetime utility equivalent to 5.7% of lifetime income. On average, Japan’s housing price boom and bust caused a loss in lifetime utility equivalent to 4.7% of lifetime income. Moreover, we compare the impact of the housing price bubble across cohorts and find that the impact was greatest for those who experienced the bubble at ages 35–45.

  • The Returns to Postgraduate Education in Japan International conference

    菅 史彦

    Asian and Australasian Society of Labour Economics 2018 conference  2018.12 

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    Event date: 2018.12

    Language:English   Presentation type:Oral presentation (general)  

    Venue:ソウル   Country:Korea, Republic of  

    Using three household surveys, the Japanese Panel Survey of Consumers (JPSC), the Working Person Survey (WPS) and the Survey of Adult Skills (PIAAC), this study estimates the returns to postgraduate education in Japan, considering potential self-selection bias. To mitigate the bias, workers’ undergraduate majors, types of university and level of cognitive skills are controlled for. These factors explain 6.3 to 29.2% of the postgraduate wage premium for women but at most 10.9% for men. Even after controlling for these factors, the postgraduate wage premium remains positive and significant, ranging from 16.5 to 23.7% for men and 13.5 to 26.4% for women.

Professional Memberships

  • Japanese Economic Association

Academic Activities

  • Screening of academic papers

    Role(s): Peer review

    2023

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    Type:Peer review 

    Number of peer-reviewed articles in foreign language journals:1

  • Screening of academic papers

    Role(s): Peer review

    2022

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    Type:Peer review 

    Number of peer-reviewed articles in foreign language journals:1

    Number of peer-reviewed articles in Japanese journals:1

  • Screening of academic papers

    Role(s): Peer review

    2021

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    Type:Peer review 

    Number of peer-reviewed articles in foreign language journals:2

  • Screening of academic papers

    Role(s): Peer review

    2019

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    Type:Peer review 

    Number of peer-reviewed articles in foreign language journals:2

  • プログラム委員

    日本経済学会 2018年度 春季大会  ( Japan ) 2018.6

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    Type:Competition, symposium, etc. 

    Number of participants:640

Research Projects

  • 選好の異質性を導入したDSGEモデルの推定、および推定されたモデルを用いた制度分析

    Grant number:23K01437  2023 - 2025

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

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    Authorship:Principal investigator  Grant type:Scientific research funding

  • 構造推定の手法を用いた格差分析

    Grant number:20K13513  2020 - 2022

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

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    Authorship:Principal investigator  Grant type:Scientific research funding

  • ライフサイクルモデルの構造推定と、推定したモデルを用いた制度・政策分析

    Grant number:17H06925  2017 - 2018

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Research Activity start-up

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    Authorship:Principal investigator  Grant type:Scientific research funding

Educational Activities

  • 学部では経済工学演習(ゼミ、通年、3~4年生対象)、経済工学基礎セミナー(秋学期、2年生対象)、および外国書講読(夏学期)を担当している。
    経済工学演習では、受講者によるパワーポイントを用いた発表や統計ソフトを用いた演習を行い、データ分析に関する実践的な知識とプレゼンテーション技術の習得に重きを置いている。
    経済工学基礎セミナーでは、ゼミ選びに役立つ参考知識を身に着けてもらうことを目的として、データ分析に関する入門的な講義を行っている。
    外国書講読では、計量経済学の入門書を輪読し、英語文献に親しんでもらうとともに、因果推論に関する理解を深めてもらうことを目指している。2022年度からは学部で応用計量経済学Ⅱを担当し、ミクロ計量経済学に関する講義を行っている。
    大学院ではミクロ計量経済学(Econometrics III、英語)を担当している。講義が中心だが、受講生が修士・博士論文の執筆に際してデータ分析を行うことを前提に、統計ソフトを使った演習と課題を組み込んだ授業を行っている。

Class subject

  • (IP)Japanese Economy

    2024.12 - 2025.2   Winter quarter

  • 応用計量経済学Ⅱ

    2024.10 - 2025.3   Second semester

  • (IP)Topics in Economics2 (LDV models) (PE)

    2024.10 - 2025.3   Second semester

  • (IP)Research Workshop (IPPE, IPFBE)

    2024.10 - 2025.3   Second semester

  • ミクロ計量経済学特研Ⅱ

    2024.10 - 2025.3   Second semester

  • 経済工学プレセミナー

    2024.6 - 2024.8   Summer quarter

  • 経済工学演習③

    2024.4 - 2025.3   Full year

  • (IP)Research Workshop (IPPE, IPFBE)

    2024.4 - 2025.3   Full year

  • リサーチ・ワークショップII

    2024.4 - 2025.3   Full year

  • 経済工学演習④

    2024.4 - 2025.3   Full year

  • ミクロ計量経済学特研Ⅰ

    2024.4 - 2024.9   First semester

  • (IP)Topics in Economics2 (Causal Inference) (PE)

    2024.4 - 2024.9   First semester

  • 計量分析Ⅲ

    2024.4 - 2024.6   Spring quarter

  • (IP)Econometrics III

    2024.4 - 2024.6   Spring quarter

  • (IP)Research Workshop

    2023.10 - 2024.3   Second semester

  • 応用計量経済学Ⅱ

    2023.10 - 2024.3   Second semester

  • ミクロ計量経済学特研Ⅱ

    2023.10 - 2024.3   Second semester

  • (IP)Topics in Economics2 (LDV models) (PE)

    2023.10 - 2024.3   Second semester

  • (IP)Research Workshop

    2023.4 - 2024.3   Full year

  • 経済工学演習①

    2023.4 - 2024.3   Full year

  • 経済工学演習②

    2023.4 - 2024.3   Full year

  • リサーチ・ワークショップⅠ

    2023.4 - 2024.3   Full year

  • (IP)Topics in Economics2 (Causal Inference) (PE)

    2023.4 - 2023.9   First semester

  • ミクロ計量経済学特研Ⅰ

    2023.4 - 2023.9   First semester

  • (IP)Econometrics III

    2023.4 - 2023.6   Spring quarter

  • 計量分析Ⅲ

    2023.4 - 2023.6   Spring quarter

  • Topics in Economics2 (LDV models) (PE)

    2022.10 - 2023.3   Second semester

  • 応用計量経済学Ⅱ

    2022.10 - 2023.3   Second semester

  • ミクロ計量経済学特研Ⅱ

    2022.10 - 2023.3   Second semester

  • 経済工学特論2(Japanese Economy)

    2022.10 - 2023.3   Second semester

  • 経済システム特論2(Japanese Economy)

    2022.10 - 2023.3   Second semester

  • Japanese Economy

    2022.10 - 2023.3   Second semester

  • 外国書講読1(英語経済)①

    2022.6 - 2022.8   Summer quarter

  • 経済工学プレセミナー

    2022.6 - 2022.8   Summer quarter

  • 経済工学演習④

    2022.4 - 2023.3   Full year

  • 経済工学演習③

    2022.4 - 2023.3   Full year

  • Topics in Economics2 (Causal Inference) (PE)

    2022.4 - 2022.9   First semester

  • ミクロ計量経済学特研Ⅰ

    2022.4 - 2022.9   First semester

  • Econometrics III

    2022.4 - 2022.6   Spring quarter

  • 計量分析Ⅲ

    2022.4 - 2022.6   Spring quarter

  • 経済工学基礎セミナー

    2021.10 - 2021.12   Fall quarter

  • 外国書講読1(英語経済)⑤

    2021.6 - 2021.8   Summer quarter

  • 外国書講読1(英語経済)①

    2021.6 - 2021.8   Summer quarter

  • 外国書講読1(英語経済)②

    2021.6 - 2021.8   Summer quarter

  • 外国書講読1(英語経済)③

    2021.6 - 2021.8   Summer quarter

  • 外国書講読1(英語経済)④

    2021.6 - 2021.8   Summer quarter

  • 経済工学演習②

    2021.4 - 2022.3   Full year

  • 経済工学演習①

    2021.4 - 2022.3   Full year

  • 経済工学演習①

    2021.4 - 2022.3   Full year

  • 経済工学演習②

    2021.4 - 2022.3   Full year

  • 計量分析Ⅲ

    2021.4 - 2021.6   Spring quarter

  • Econometrics Ⅲ

    2021.4 - 2021.6   Spring quarter

  • 経済工学基礎セミナー

    2020.10 - 2020.12   Fall quarter

  • 経済工学演習③

    2020.4 - 2021.3   Full year

  • 経済工学演習④

    2020.4 - 2021.3   Full year

  • Econometrics Ⅲ

    2020.4 - 2020.6   Spring quarter

  • 計量分析Ⅲ

    2020.4 - 2020.6   Spring quarter

  • 経済工学基礎セミナー

    2019.10 - 2019.12   Fall quarter

  • 経済工学演習①

    2019.4 - 2020.3   Full year

  • 経済工学演習②

    2019.4 - 2020.3   Full year

  • Econometrics Ⅲ

    2019.4 - 2019.9   First semester

  • 経済工学基本演習

    2018.10 - 2019.3   Second semester

  • 経済工学演習③

    2018.4 - 2019.3   Full year

  • 経済工学演習④

    2018.4 - 2019.3   Full year

  • Econometrics Ⅲ

    2018.4 - 2018.9   First semester

  • 経済工学基本演習

    2017.10 - 2018.3   Second semester

  • 経済工学演習①

    2017.4 - 2018.3   Full year

  • 経済工学演習②

    2017.4 - 2018.3   Full year

  • EconometricsⅢ

    2017.4 - 2017.9   First semester

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Social Activities

  • 経済学やデータ分析は何の役に立つのか?

    公益社団法人直方法人会  福岡県宮若市  2020.12

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    Audience:General, Scientific, Company, Civic organization, Governmental agency

    Type:Seminar, workshop

  • キャリア教育/経済学者のキャリアについて

    東筑紫学園照曜館中学校  2017.12

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    Audience:Infants, Schoolchildren, Junior students, High school students

    Type:Seminar, workshop