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This course is one-semester advanced level econometrics. The prerequisites are Econometrics I, II, and Advanced Econometrics I. This course should be regarded as the second PhD level econometrics course and will cover various asymptotic theories, with an emphasis in dependent samples. Time series econometric models will be covered.
This course is one-semester advanced level econometrics. The prerequisites are Econometrics I, II, and Advanced Econometrics I. This course should be regarded as the second PhD level econometrics course and will cover various asymptotic theories, with an emphasis in dependent samples. Time series econometric models will be covered.
This course is one-semester advanced level econometrics. The prerequisites are Econometrics I and II. This course should be regarded as the entry level econometrics course for PhD program. Students are required to complete the two courses before enrolling in this one. In this course, we will study econometrics in greater depth with both old topics (such as linear regression) and new topics (such as panel data model). Mathematical tools, for example, vector and matrix, are extensively used in deriving estimations and inferences. Random sample (independence) is assumed in most of the topics. Dependent sample will be covered in Advanced Econometrics II.
This course is one-semester advanced level econometrics. The prerequisites are Econometrics I and II. This course should be regarded as the entry level econometrics course for PhD program. Students are required to complete the two courses before enrolling in this one. In this course, we will study econometrics in greater depth with both old topics (such as linear regression) and new topics (such as panel data model). Mathematical tools, for example, vector and matrix, are extensively used in deriving estimations and inferences. Random sample (independence) is assumed in most of the topics. Dependent sample will be covered in Advanced Econometrics II.
This course is a one-semester introduction to econometrics. The course will cover fundamental knowledge of linear regression in economic data analysis. Necessary probability and statistic concepts will be taught and reviewed. Empirical applications, rather than theoretical proofs, will be emphasized. Empirical examples will be demonstrated in class. The R program will be taught and used throughout the course.
Textbook
Wooldridge, J. M. (2020). Introductory econometrics: A modern approach, 7th ed., Cengage.
(E-Book available from the university library website)
This course is a one-semester introduction to econometrics. The course will cover fundamental knowledge of linear regression in economic data analysis. Necessary probability and statistic concepts will be taught and reviewed. Empirical applications, rather than theoretical proofs, will be emphasized. Empirical examples will be demonstrated in class. The R program will be taught and used throughout the course.
Textbook
Wooldridge, J. M. (2020). Introductory econometrics: A modern approach, 7th ed., Cengage.
(E-Book available from the university library website)
This course is a one-semester introduction to econometrics. The course will cover fundamental knowledge of linear regression in economic data analysis. Necessary probability and statistic concepts will be taught and reviewed. Empirical applications, rather than theoretical proofs, will be emphasized. Empirical examples will be demonstrated in class. The R program will be taught and used throughout the course.
Textbook
Wooldridge, J. M. (2020). Introductory econometrics: A modern approach, 7th ed., Cengage.
(E-Book available from the university library website)
This course focus on elementary econometrics and is the preparation of subsequent advanced econometrics courses.The first few classes will cover the elementary probability and statistics theory for studying elementary econometric models. The rest of classes will include estimation and inference of elementary regression models, with an emphasis on cross-sectional data. Simple R programs will be used and taught.
このコースは基礎計量経済学に焦点を当て、高度な計量経済学のコースへの準備となります。初回の数回の授業では、基礎計量経済モデルを学習するための基礎的な確率論と統計学を扱います。その後の授業では、断面データに重点を置きながら、基礎的な回帰モデルの推定と推論を含む内容が予定されています。簡単なRプログラムが使用および指導されます。This course focus on elementary econometrics and is the preparation of subsequent advanced econometrics courses.The first few classes will cover the elementary probability and statistics theory for studying elementary econometric models. The rest of classes will include estimation and inference of elementary regression models, with an emphasis on cross-sectional data. Simple R programs will be used and taught.
このコースは基礎計量経済学に焦点を当て、高度な計量経済学のコースへの準備となります。初回の数回の授業では、基礎計量経済モデルを学習するための基礎的な確率論と統計学を扱います。その後の授業では、断面データに重点を置きながら、基礎的な回帰モデルの推定と推論を含む内容が予定されています。簡単なRプログラムが使用および指導されます。This course focus on elementary econometrics and is the preparation of subsequent advanced econometrics courses.The first few classes will cover the elementary probability and statistics theory for studying elementary econometric models. The rest of classes will include estimation and inference of elementary regression models, with an emphasis on cross-sectional data. Simple R programs will be used and taught.