Teaching
Last update: May 10, 2024
When you have a chance to teach somebody in the future, it would be a good strategy to think about entertaining yourself first, as I do, before pleasing your students. This is how the academic baton is passed on to the next generation, and no matter what happens in this world, this is what education is all about. (T. Adachi, July 2020)
AY2024
Business Economics (Spring/Summer, Thursdays 10:30-12:00)
Information is available at PandA.
Textbook: Gábor Békés and Gábor Kézdi, Data Analysis for Business, Economics, and Policy (Cambridge University Press, 2021)
Companion website: Gabors Data Analysis
AY2023
Business Economics (Spring/Summer, Thursdays 10:30-12:00)
Information is available at PandA.
Textbook: Gábor Békés and Gábor Kézdi, Data Analysis for Business, Economics, and Policy (Cambridge University Press, 2021)
Companion website: Gabors Data Analysis
AY2022
Business Economics (Spring/Summer, Thursdays 10:30-12:00)
Textbook: Gábor Békés and Gábor Kézdi, Data Analysis for Business, Economics, and Policy (Cambridge University Press, 2021)
Companion website: Gabors Data Analysis
Introduction to R (by courtesy of Professor Toyoma; from his course webpage)
(2) Comparison and Correlation (all subsequent files will be uploaded at PandA)
(3) Generalizing from Data
(4) Testing Hypotheses
(5) Simple Regression
(6) Generalizing Results of a Regression
(7) Multiple Linear Regression
(8) Modeling Probabilities
(9) Regression with Time Series Data
(10) Forecasting from Time Series Data
(11) A Framework for Causal Analysis
(12) Difference-in-Differences
(13) Methods for Panel Data
(14) Appropriate Control Groups for Panel Data
AY2021
(Withered Tree at Kiyomizu Temple, Kyoto)
(A lane in the Gion Area, Kyoto)