Seminar: Economics of Human Resource Allocation
2023
Instructor: Katsuya Takii:
If you are interested in me, please take a look at
1. https://www.osipp.osaka-u.ac.jp/en/osipp-faculty/takii-katsuya/
2. http://www2.osipp.osaka-u.ac.jp/~takii/
email: takii@osipp.osaka-u.ac.jp.
Time: 16:50-18:20 on Tuesday. (We can change if all patricipants agree.)
Location: Zoom and Seminar Room DO¢ ce Hours: Make an appointment by e-mail.
Prerequirement:
1. Microeconomic Theory, Macroeconomic Theory, and Econometric Methods, Advanced EconometricMethods (Equivalent other courses are acceptable.) In particular, we assume that students have enoughknowledge of microeconoic theory and econometrics to understand the contents of the textbook.
2. Students are prepared to install R and R studio before attending the seminar.
(a) https://www.jaysong.net/RBook/installation.html
3. The basic knowledge of R program is helpful.
Purpose: This seminar is designed for the second year students or Ph.D. students who are interested inwriting papers in this …eld. Students can improve four di¤erent skills: (1) a basic skill to analyze in this…eld, (2) the skill to improve the ability to organize their thought and (3) the skill to deliver their idea toother people.
Contents:
1. Students must present and discuss "Learning Microecoonometrics with R" by Christopher P. Adams
this year.
(a) https://sites.google.com/view/microeconometricswithr(b) Tidyvesrse style: http://iangow.me/lmwr_tidy/(c) Python: https://github.com/amc-econ/learning_microeconometrics_with_python
2. The presentation must include(a) Brief review of the theories: econometrics and microeconomics.
(b) The relevant R code will be explained with an execution demonstration.
R-Markdown is useful for this presentation.
– https://www.jaysong.net/RBook/rmarkdown.html
3. All students should replecate the R-code in the textbook and report it.
Plan:
1. Introduction
2. Statistical Programing in R
3. Measurring Uncertainty
4. Ordinary Least Squrares

5. Multiple Regression
6. Instrumental Variables
7. Bounds Estimation
8. Estimating Demand
9. Estimating Selection Models
10. Demand Estimation with IV
11. Estimating Games
12. Estimating Auction Models
13. Panel Data
14. Synthetic Controls
15. Mixture Models
Grading Policy:
ItemAttendance in this lecture
P resentation in this lecture
R codepoints times T otal sum
11515?
?
[0; 57][0; 2]
14[0; 28]The presentations at this lecture are evaluated by 6 ranks: S, A, B, C, D and E. The following is thestandard of evaluation.
Presentation in this lecture
1. E...Almost no preparations.
2. D...Incomplete and the lack of comprehensiveness.
3. C. The presenter might understand the contents, but audiences cannot understand it at all.
4. B....The audience can understand what the presenter tries to say. However, the signi…cance andlogic of the paper is not clear. (If the presenter thinks that the method is not proper, his/herview must be clear.)
5. A...The audience can perfectly understand the signi…cance and logic of the paper.
6. S. Beyond the comprehensiveness of presentation, the presenter can entertain the audience.
Option: In addition to attending this seminar, students are invited to present their own paper or the recent
theoretical or empirical papers related to the human resource allocation in several …elds at the workshop on
the economics of human resource allocation (https://sites.google.com/site/jinzaihaichinokeizaigaku/). Potential …elds cover corporate governance, political election, bureaucracy, internal and external labor market,
school choice, marriage market and so on.

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