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SUEISHI NaoyaAssociate Professor
Please make an appointment in advance.
My research interest is in theoretical econometrics. Especially, I'm interested in the following subjects.
1. Empirical likelihood
2. Model selection
Education and Positions
- Assistant Professor, Graduate School of Economics, Kyoto University, 2010-2014
- Ph.D. in Economics, University of Wisconsin-Madison, 2010
Lectures and Seminars
This course is mainly designed for first year students who are not familiar with probabilty and statistics. Basic concepts of statistics are introduced.
This course is designed for first year Ph.D. students. Basic econometric methods that are necessary to conduct empirical research are covered. Familiarity with elemetary statistics and matrix algebra is assumed.
This course covers advanced econometric methods that are helpful to analyze microeconomic data. The following topics will be covered.
1. Conditional expectation
2. Nonparametric regression
3. Program evaluation
4. Oaxaca-Blinder decomposition
5. Quantile regression
6. Panel data analysis
Third year students will study basic methods of macine learning by reading textbooks in turns and using computers. Fourth year students will prepare for writing their graduations thesis. All students are required to write a thesis on either theoretical or applied econometrics.
Subjects of the seminar depend on the interest of participants.
- "Identification Problem of the Exponential Tilting Estimator under Misspecification," Economics Letters, (2013), 118, 509-511.
- "Generalized Empirical Likelihood-Based Focused Information Criterion and Model Averaging, " Econometrics, (2013), 1, 141-156.