京都大学 大学院経済学研究科・経済学部

KONO, Hisaki

Associate Professor (PhD in Economics, the University of Tokyo)

external link Activity Database on Education and Research / Personal Website

 

 

Fields of Research: Development Economics, Poverty Reduction, Microfinance, Education, Insurance, Trade

 

Education:

2006           Ph.D., Graduate School of Economics, University of Tokyo, 2006

2001           M.A., Graduate School of Economics, University of Tokyo, 2001

1999           B.A. summa cum laude, Department of Southeast Asian Studies (Major in Vietnamese),

                   Tokyo University of Foreign Studies,

 

Affiliations:

2013-present                Associate Professor, Graduate School of Economics, Kyoto University

2019-2020                    Visiting Scholar, Institute of Fiscal Studies

2010-2012                    Visiting Scholar, Department of Economics, Harvard University

2006-2013                    Research Economist, IDE-JETRO,

2003-2005                    Visiting Scholar, National University of Ho Chi Minh City

 

Research Activities: My research focuses on quantitative analyses on poverty reduction, design of microcredit and insurance for the poor, education, market integration, and trade. Both of economic theory and econometrics are quite helpful to identify the impact of poverty reduction programs, to evaluate the effectiveness of market system, and to consider better program design.

 

Courses in Charge: Development Economics I, II

 

Skills and Qualities Required for Prospective Students: I require students to have strong knowledge of economic theory and statistics. The prerequisite knowledge for the Ph.D. course includes

– Graduate-level microeconomics (e.g. Mas-Colell, Whinston & Green, or Kreps) and at least intermediate level of macroeconomics (e.g. Adda & Cooper)

– Graduate-level econometrics (e.g. Wooldridge’s Econometric Analysis of Cross Section and Panel Data, or Angrist & Pischke’s Mostly Harmless Econometrics)

– Good programming skills for data management, statistical analysis, and numerical analysis (such as Stata, Python, R, Julia)

while the prerequisites for the Master’s course are:

– Advanced undergraduate microeconomics and macroeconomics

– Advanced undergraduate econometrics (e.g. Stock & Watson)

– Programming skills for data management and statistical analysis (such as Stata, R…).

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