108年第2學期-6283 應用計量分析 課程資訊

評分方式

評分項目 配分比例 說明
Class Participation and Homework 30 配分比例可能視情況進行調整
Class Presentation 30 配分比例可能視情況進行調整
Proposal Writing 40 配分比例可能視情況進行調整

選課分析

本課程名額為 70人,已有5 人選讀,尚餘名額65人。


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教育目標

The course aims to show how economic principles can be applied in practice, by incorporating the theoretical insights together with relevant empirical evidence and programming skills. In particular, students will learn how to make a causal inference when conducting empirical studies. This course introduces the fundamental methods of applied econometric analysis and their applications in a range of topics, such as health, labor, and education. In specific, the course covers the following three parts: 1. Data analysis and statistical programming skills 2. Fundamental methods of applied econometric analysis: linear models, panel data models (fixed effect), binary and multinomial response models, panel data models (random effect), and dynamic models (ARIMA and Markov switching model) 3. Topics in economics: health, labor, education, and industrial organization.

課程概述

The course aims to show how economic principles can be applied in practice, by incorporating the theoretical insights together with relevant empirical evidence. In particular, students will learn how to make a causal inference when conducting empirical studies. This course introduces the fundamental methods of applied econometric analysis and their applications in a range of topics, such as health, labor, and education.

課程資訊

參考書目

授課教師準備之課程講義。
Jeffrey M. Wooldridge (2010), Econometric Analysis of Cross Section and Panel Data, The MIT Press.
Badi H. Baltagi (2005) Econometric Analysis of Panel Data, John Wiley & Sons, Ltd.

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