Special Lecture on Natural Resources Economics VIIB
| Numbering Code | G-AGR06 7FC19 LE82 | Year/Term | 2022 ・ Second semester | |
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| Number of Credits | 1 | Course Type | Lecture | |
| Target Year | Target Student | |||
| Language | Japanese and English | Day/Period | ||
| Instructor name | MIURA KEN (Graduate School of Agriculture Assistant Professor) | |||
| Outline and Purpose of the Course |
This course is the second part of the Econometrics coursework for first-year graduate students in Agricultural Economics. This course will give you the theoretical grounds for the modern econometric methods in applied microeconomics (including Agricultural Economics, Development, Environmental Economics, etc.). The empirical methods introduced include field experiments and randomized control trials (RCT), difference-in-differences (DID), and regression discontinuity designs (RD). This class will be taught in English. In class, any questions/comments are welcome in either English or Japanese. Lecture slides are in English. 本講義は、生物資源経済学専攻の計量経済学コースワークの後半です。本講義は、農業経済学、開発経済学、環境経済学などの応用経済学分野において因果推論を実施する方法論とその理論的基礎を学びます。扱う手法は、RCT,DID,RDなどです。またSTATA演習を通じてデータ構築および計量分析を経験することで、実証分析を独自に行う能力を養います。講義は英語で行います。講義中の質問は日本語、英語どちらでも構いません。講義スライドは英語です。 |
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| Course Goals |
1. To understand basic concepts for each research design and identification assumptions required to achieve causal inference 2. To acquire working knowledge to interpret specifications, figures, and estimation tables in empirical research papers 3. To acquire working knowledge to choose an appropriate econometric method, depending on the natures of data and contexts 4. To obtain practical skills to carry out empirical projects with Stata/R |
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| Schedule and Contents |
This course consists of lectures, class discussions, take-home assignments, and the classroom written exam. The lectures provide an overview of empirical methods. The take-home assignments help students better understand the key issues. On the first day, the lecture will start after the brief orientation. Week 1: Introduction to program evaluation (SW Ch.13) Week 2: RCT and LATE (SW Ch.13) Week 3: RCT Week 4: RCT Week 5: Stata tutorial (RCT) Week 6: Regression discontinuity designs Week 7: Spatial degression discontinuity designs Week 8: Stata tutorial (RDD) Week 9: Panel data (SW Ch.10) Week 10: DID Week 11: Stata tutorial (DID) Week 12: Matching Week 13: Standard errors and re-sampling methods Week 14: Introduction to structural estimation Week 15: Feedback |
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| Evaluation Methods and Policy |
Grades are based on 5 problem sets and the Final exam. 10% for each PS and 50% for the Final. My grading policy follows the department guidelines current year's“Guide to Degree Programs.” 評価基準及び達成度については、当該年度農学研究科学修要覧記載の［評価基準及び達成度］による. |
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| Course Requirements |
This course is the second half of the Econometrics coursework sequence for first-year graduate students in Agricultural Economics. Take "Special Lecture on Natural Resources Economics VIIA" in the first semester. 本講義は大学院レベルの計量経済学のコースワークの後半です。春学期に開講される"Special Lecture on Natural Resources Economics VIIA"を受講してください。 |
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| Study outside of Class (preparation and review) | Lecture slides and exercise materials will be distributed by PandA. Check emails regularly. All students must write up their problem sets individually. However, you may work in groups of up to 2 people, though you are not required to work in groups at all. | |||
| Textbooks | Textbooks/References |
Introduction to Econometrics, 4th Edition, Stock, J. H., & Watson, M. W., (Pearson Education Inc., 2018), SW
The lecture slides/notes and assigned papers will serve as the primary class material. The reading list will be provided on the first day of the course. |
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| References, etc. |
The Effect, Nick Huntington-Klein, (Routledge, 2021) 計量経済学, 西山 慶彦，新谷 元嗣，川口 大司，奥井 亮, (有斐閣、2019年) |
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