107年第2學期-6286 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

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. 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 two parts: 1. 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) 2. 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.

基本資料

選修課，學分數：0-3
上課時間：五/2,3,4[SS422]
修課班級：經濟碩1,2
修課年級：年級以上
選課備註：

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.