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課程名稱 |
農業政策量化評估
Quantitative Assessment of Agricultural Policy |
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開課學期 |
112-1 |
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授課對象 |
生物資源暨農學院 農業經濟學研究所 |
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授課教師 |
石曜合 |
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課號 |
AGEC3034 |
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課程識別碼 |
627 M3360 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期二3,4,5(10:20~13:10) |
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上課地點 |
公共接待室 |
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備註 |
限碩士班以上
總人數上限：4人 |
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課程簡介影片 |
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核心能力關聯 |
本課程尚未建立核心能力關連 |
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課程大綱
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課程概述 |
** THE COURSE WILL BE TAUGHT IN ENGLISH **
** This is a PhD-level course. Students are expected to have well-define research ideas in mind. **
The optimal design of any policies requires evidence-based assessments of both costs and benefits arising from the policies. This course aims to equip students with the knowledge and skills to analyze and evaluate the impacts of agricultural and environmental policies with modern program evaluation tools. The course will first “review” the most widely adopted causal inference strategies: difference-in-differences, synthetic control, instrumental variable, and regression discontinuity design. The first half of the course concludes with overviews of cost-benefit analysis and nonmarket valuation methods. In the second half of the course, students will delve into empirical research papers that address various aspects concerning agricultural policies. Topics will include, but are not limited to, the food-water-energy nexus, food poverty, climate and agricultural production, and rural development.
Tentative schedule:
Week 01. Course overview
Week 02. Review of causal inference methods: difference-in-differences and synthetic control
Week 03. Review of causal inference methods: instrumental variable and regression discontinuity
Week 04. Welfare analysis
Week 05. Nonmarket valuation methods
Week 06. National holiday (no class)
Week 07. Cost-benefit analysis
Week 08. Midterm (no class)
Week 09. Empirical case 1: agricultural conservation programs
Week 10. Empirical case 2: agriculture and renewable energy
Week 11. Empirical case 3: agricultural labor market
Week 12. Empirical case 4: production and food
Week 13. Spatial data analysis
Week 14. Term project presentations (1)
Week 15. Term project presentations (2)
Week 16. Final (term project revision)
Prerequisite knowledge in econometrics, causal inference, and environmental economics is recommended to fully benefit from this advanced course. Students should be comfortable with data analysis using Stata (or R) and have a basic understanding of agricultural and environmental issues. |
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課程目標 |
Throughout the course, students will engage in hands-on exercises and projects using actual data to evaluate the impacts of different agricultural and environmental policies. By the end of the course, students are expected to acquire the necessary skills to assess policy effectiveness, quantify policy impacts, provide evidence-based recommendations to inform decision-making processes, and understand the limitations of program evaluation. |
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課程要求 |
In-class participation: 20%. Students are expected to actively engage in class discussions.
Paper review: 30%. Students are required to lead the review of one empirical paper in the selected topics covered in the course.
Term Project: 50%. Students are required to conduct an original project evaluating the impacts of a particular agricultural or environmental policy or program. The deliverables include a presentation of the project and a term paper summarizing the research question, data and empirical method, and results. To support the students for better preparing the project, students are expected to submit a project proposal by week 8. |
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預期每週課後學習時數 |
6 |
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Office Hours |
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指定閱讀 |
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參考書目 |
Angrist, J. D., & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton university press.
Cunningham, S. (2021). Causal Inference: The Mixtape. Yale university press.
Phaneuf, D. J., & Requate, T. (2017). A Course in Environmental Economics: Theory, Policy, and Practice. Cambridge University Press. |
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評量方式
(僅供參考) |
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