本課程旨在探討迴歸模型之設定、估計及檢定，首先針對常使用的計量方法做一廣泛及理論上的介紹，提供學生了解計量模型的使用；此外，本課程亦使用 Stata 統計軟體進行實務分析，藉此培養學生能具備經濟數據資料之分析能力。

This course aims to explore the setting, estimation and calibration of regression models. It first provides a broad and theoretical introduction to commonly used measurement methods to provide students with an understanding of the use of measurement models. In addition, this course also uses Stata statistical software for practical analysis, thereby cultivating students' ability to analyze economic data.

本課程主要是提供學生在計量經濟學基本的理論及應用有更深入的探討。希望學生在學習的過程中能培養對計量經濟的能力及興趣，更進一步能活用計量經濟這個工具。主要內容包括線性迴歸模型，小樣本線性模型估計，大樣本線性模型估計，一致性估計、工具變數的使用，概似函數估計，非線性模型估計，一般動差法模型估計(GMM)等。

This course mainly provides students with a more in-depth discussion of the basic theories and applications of econometrics. It is hoped that students can develop their ability and interest in econometrics during the learning process, and further be able to make full use of the tool of econometrics. The main contents include linear regression model, small sample linear model estimation, large sample linear model estimation, consistency estimation, use of instrumental variables, approximate function estimation, nonlinear model estimation, general dynamic method model estimation (GMM), etc.

R. Carter Hill, William E. Griffiths, Guay C. Lim/黃智聰, 梁儀盈 合譯, Principles of Econometrics, 5th Edition/ 計量經濟學 中譯本 第二版，2022年，雙葉書廊代理

R. Carter Hill, William E. Griffiths, Guay C. Lim/Huang Zhicong, Liang Yiying co-translation, Principles of Econometrics, 5th Edition/ Econometrics Chinese translation second edition, 2022, agent of Shuangye Bookstore