Academic Transcript

Academic Transcript for Doctoral Course: pdf

Academic Transcript for Master Course: pdf

Highlights on Some Courses in Academic Transcripts

<Department of International Studies at Graduate School of Frontier Sciences>

・Development Economics (by Aya Suzuki)

→ This course covers microeconomic theory and quantitative empirical analyses for development economics (Agricultural Household Model, market competition, industrial development, human capital, microfinance, impact evaluation)

・Introduction to Geoinformatics

→ This course provides methodology for geoinformatics using ArcGIS.

<Department of Agricultural Resource Economics at Graduate School of Agricultural and Life Sciences>

・International Rural Development V (by Takeshi Sakurai)

・International Rural Development VI (by Takeshi Sakurai)

→ Before each lecture, I read in advance three papers recently published by such journals as Journal of Development Economics, American Journal of Agricultural Economics, World Development, Food Policy, Economic Development and Cultural Change. I presented assigned papers and discussed their contributions and methodologies.

<Graduate School of Economics>

・Topics in Mathematical Statistics: Mathematics I

→ This course covers linear algebra (vector space, linear mapping, determinant, eigen value, Jordan normal form, positive/negative definite)

・Topics in Mathematical Statistics: Mathematics II (by Daisuke Oyama) 

→ This course covers mathematics for graduate-level microeconomics (e.g., correspondence, constrained optimization, envelope theorem, separating hyperplane theorem, fixed-point theorem, dynamic programming). Lecture slides are uploaded here.

・Topics in Mathematical Statistics: Bayesian Statistics I

・Topics in Mathematical Statistics: Bayesian Statistics II

→ In this course, I read through "Bayesian Econometric Methods, 2nd edition (Cambridge University Press)" written by Gary Koop, Dale Poirier and Justin Tobias.  I learned the theory on Bayesian statistics and its methodology (e.g., MCMC), and did computer exercises using MATLAB.

<Department of Mathematical Informatics at Graduate School of Information and Technology>

・Advanced Core in Probability

→ This course covers probability theory using measure theory (definitions of random variables and expectation, proofs of Law of large numbers and central limit theorem, stochastic process, stochastic differential equation).

・Advanced Core in Analysis

→ This course covers functional analysis (Banach/Hilbert space, linear operator, uniform boundedness theorem, Fredholm's theorem).

Textbooks used to learn economics and econometrics

To learn economics and econometrics, I read through the following textbooks during the master and doctoral courses, except for courses in the transcripts above.

・David. M. Kreps (2012) "Microeconomic Foundations I: Choice and Competitive Markets" (Princeton University Press)

・Robert Gibbons (1992) "Game Theory for Applied Economists" (Princeton University Press)

・Robert J. Barro and Xavier Sala-i-Martin (2003) "Economic Growth, second edition" (MIT Press)

・Carl E. Walsh (2017) "Monetary Theory and Policy, fourth edition" (MIT Press)

・Jeffrey M. Wooldridge (2012) "Introductory Econometrics: A Modern Approach, fifth edition" (CENGAGE)

・Fumio Hayashi (2000) "Econometrics" (Princeton University Press)