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Curriculum

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Ph.D.

http://www.acad.tku.edu.tw/admiss/super_pages.php?ID=OAA401#1

ADVANCED ECONOMETRICS (B0712)

This course aims at providing the first-year Ph.D. student with a comprehensive coverage of modern econometric methods.

 

ADVANCED MICROECONOMICS (I) (B0981)

In this course, we will explore the developing frontier of microeconomics. Participant will select two or more interested topics and present the related materials. Any cross-fertilization ideas are welcome in class. Participants are encouraged to develop their own thinking and perspective of economic issue. Our topics of interest include but are not limited to: Game Theory, Behavior Economics, Experimental Economics, Neuroeconomics, Learning, Agent-Based Computational Economics.

 

ADVANCED INDUSTRIAL ECONOMICS (I) (B0983)

This course aims to teach the students industrial economic theories and their applications, to promote the students to have the ability to engage in researches. This course includes the following issues: Price discrimination, Quality Model, Technology Innovation and Licensing, International Trade, and so on.

 

METHODS FOR ECONOMIC ANALYSIS (M1513)

This course will provide students in the P.h. D. program the basic tools for advanced study and research in economics. These tools include the math used in theoretical analysis and the regression methods in empirical study. The students will be benefited in either literature reading or future research.

 

APPLICATION ECONOMETRICS (II) (B1356)

Teach students techniques on conducting econometrics empirical studies using various econometric methods and software and introduce the newest research topics on applied econometrics in attempt to find potential subject for their thesis. Through the requirement of writing a term paper, students are expected to learn some skills on preparing an academic paper.

 

TOPICS IN TAIWAN INDSTRY AND METHODS (B1565)

This course is a advanced one, in which the issues on Taiwan industries will be studied via recent theoretical and empirical journal articals.

 

SPECIAL TOPICS IN LABOR MARKET (III) (B1577)

By studying past literature in labor economics, we introduce issues in wage structure, unemployment, discrimination, migration and human capital. Government policies related labor market are also investigated in this course.

 

ADVANCED MICROECONOMICS (II) (B0982)

This course aims to introduce the theoretical foundation of Microeconomics and provide some basic tools for you to develop a formal treatment of these subjects and apply them to relevant issues. This course mainly covers some fundamental theories on firms' behavior and game theory. We will also include consumer theory if possible.

 

ADVANCED MICROECONOMICS (II) (B0984)

This course aims to introduce the theoretical foundation of Microeconomics and provide some basic tools for you to develop a formal treatment of these subjects and apply them to relevant issues. This course mainly covers some fundamental theories on firms' behavior and game theory. We will also include consumer theory if possible.

 

ADVANCED INTERMEDIATE MACROECONOMICS (B0985)

This lecture discusses the main mathematical methods of optimization and dynamics in the macroeconomics and the modern growth theory. We will begin with a very thorough introduction of mathematics and discussion of the consumption/saving problem of households, investment behavior of firms and small open economy. We move next to a discussion of endogenous growth models.

 

APPLIED MICRO-ECONOMETRICS (II) (B1137)

This course is designed to provide an introduction to microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods applied to cross-section and panel data. It will discuss core methods of microeconometrics, including maximum likelihood method, quantile regression, GMM,and nonparametric and semiparametric methods, and it is not only oriented to theorist but also to the practitioner.

 

ECONOMICS OF ARIFICIAL INTELLIGENCE (B1359)

This course discusses human behaviors in selection. Based on assumptions of each individual's behavior, we will build a dynamically interactive model. Free from the assumption of homogeneity and perfect rationale, we will look at a market of various artificial intelligent agents.
 

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