課程資訊
課程名稱
總體經濟理論
Macroeconomic Theory 
開課學期
112-2 
授課對象
生物資源暨農學院  農業經濟學研究所  
授課教師
林雅淇 
課號
AGEC7022 
課程識別碼
627 M1670 
班次
 
學分
3.0 
全/半年
半年 
必/選修
必修 
上課時間
星期一2,3,4(9:10~12:10) 
上課地點
農經三 
備註
總人數上限:40人 
 
課程簡介影片
 
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課程概述

This course is designed for master students in the field of applied microeconomics with a solid understanding of econometrics and causal inferences. The goal of this course is to showcase how causal inferences can be used to answer some of the most important macroeconomic questions and how macroeconomic theories align with empirical evidence. Throughout the course, we will look at modern evidence on the “effects” of important macroeconomic policy instruments—environmental regulations, minimum wage, unemployment insurances, immigration restrictions, trade barriers, fiscal stimulus, and monetary policy—on outcomes such as employment, inequality, national income, and citizens’ physical well-beings. Toward the end of the course, we will also explore how economists answer some of the “questions of life.”

While walking through the modern empirical literature, the course will spend significant amount of time on practical implementations. Students who are not familiar with (introductory) econometrics or causal inferences and their implementations using Stata (or R) are asked to prepare themselves by reviewing the associated materials. Student are welcomed to consult the instructor for advice.

The class starts at 9:30 with three 40-minute lecture sessions (9:30 - 10:10, 10:20 - 11:00, and 11:10 - 11:50). Lab sessions (12:10 - 13:10) will run occasionally to cover supplementary materials. 

課程目標
As a sequel of applied econometrics (required for students in the AGEC master program), the ultimate objective of this course is again to prepare the students for their thesis projects. By showcasing the modern empirical evidence on some long-standing questions in macroeconomics, students are expected to understand how imperfect (or even wrong) the theories that we have learned in undergrad macro are. By completing the course, students are expected to: (1) appreciate how causal inferences methods can be used in the context of macroeconomics, (2) hone the skill of reading empirical research papers, (3) gain experiences of practical implementation of empirical projects, and (4) understand how little we know about economics and how things work in real life. 
課程要求
(1) Term Project or Paper Review (70%): students in a group of two to four persons are required to conduct an empirical project or lead the review of an empirical paper. Students in the same group will receive the same grade.
The empirical project must have a clearly defined causal question and leverage one or more identification strategies introduced in the course or applied econometrics. The project should cover at least the following components: (1) motivation and research question, (2) data, (3) empirical strategy, (4) results and findings, and (5) limitations and suggestions for future work.
The projects shall be submitted either through an oral presentation or a term paper. If submitting through an oral presentation, students are asked to present their work in class and no written essay is required. If submitting through a term paper, students will submit their paper in written form as if it is a manuscript for academic journals. Students are encouraged to seek instructor's advice throughout the semester. The mixtape session on Doing Applied Research might be helpful for some.

For paper review, the reviewed paper should be (1) one of the papers in the designated reading list or (2) relevant to macroeconomics and published at leading economic journals such as QJE, AER, JPE, ReStud, REStat, AEJ: Applied, AEJ: Economic Policy, AEJ: Macro, JEEA, EJ, JAERE, JEEM, AJAE, JLE, JHR, JHE, JDE, JPubE, and JUE. If students would like to review a paper on other topics or not on the journal list above, please consult the instructor for consent. Students can also review a paper on the designated reading list.
For students who will do a paper review, please declare their selection under the discussion thread on COOL before March 6th. First come first serve. The date of presentation will be allocated in accordance with the course schedule. Note that we might not cover all pre-assigned topics to accommodate students' choices and that the number of presentations per week is capped at 2.
The students are expected to present the selected paper "as if they were the authors." Therefore, in addition to presenting the paper's substance, they should also be able to answer questions from the floor. How the presenters handle the questions will be an important part of the evaluation. The presentations can be in a "conference form" that runs about 20 - 30 minutes, a "seminar form" that runs about an hour, or anything in between.
Example of a conference form presentation: An Alternative Explanation for the "Fed Information Effect"
Example of a seminar form presentation: Is the Phillips Curve Getting Flatter? (the presentation starts from 8:40)

(2) In-class discussion (30%): students are REQUIRED to actively participate in the paper review sessions and term project presentations. Some of the most common ways to engage are asking questions about the content of the papers or potential directions for future extensions. In case the presenters made mistakes or were unclear, clarifying questions or comments are also great ways for contributing to the presentations. Students without any active participation in those sessions will get a zero for this part. Therefore, student will almost certainly fail the course if only sitting in class for the entire semester. A sufficiently insightful question or comment will be enough for getting a passing grade for this part (i.e., 21%). The goal of this requirement is to encourage students to read papers carefully. Very often, the better a student understands a paper, the more insightful her/his questions or comments will be. 
預期每週課前或/與課後學習時數
 
Office Hours
 
指定閱讀
 
參考書目
 
評量方式
(僅供參考)
 
  1. 本校尚無訂定 A+ 比例上限。
  2. 本校採用等第制評定成績,學生成績評量辦法中的百分制分數區間與單科成績對照表僅供參考,授課教師可依等第定義調整分數區間。詳見學習評量專區 (連結)。
 
課程進度
週次
日期
單元主題
無資料