| Course title | |||||
| 農業数量経済分析 [Economic analysis of agricalture] | |||||
| Course category | Requirement | Credit | 2 | ||
| Department | Year | 3～ | Semester | 3rd | |
| Course type | 3rd | Course code | 01an3043 | ||
| Instructor(s) | |||||
| 草処 基 [KUSADOKORO Motoi] | |||||
| Facility affiliation | Faculty of Agriculture | Office | 2-209 | Email address | |
| Course description |
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The goal of this course is to understand fundamental theory and methods to conduct quantitative and statistical analyses on the topics related to agricultural economics and farm management. It is a subject of agricultural economics and management in the Department of Biological Production. Modern agriculture has various problems to be solved such as changes in economic environment and policy, environment issues, poverty of farmers in developing countries and etc. The aims of agricultural economics are to extract fundamental factors of a problem in agriculture and to propose and evaluate policies to solve the problem. Statistical analysis can be an effective analytical tool, because it affords us to present objective evidence obtained from data. Outline of this course is as follows. First, fundamental theory of statistics and descriptive statistics will be introduced. Second, students will learn linear regression models and the ordinary least squares (OLS) as a favorable estimation technique. Third, students will learn various statistical tests which can be used for testing your hypothesis based on the estimated model and how to treat with violation of some assumptions necessary for the OLS to be a good estimator. Finally, some application examples of regression models in agricultural economics will be introduced. Students will discuss the results and learn how to start doing independent research using economic data. Google Classroom lo6rhry |
| Expected Learning |
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Students are expected to learn fundamental theory of statistics and regression models and have greater confidence in its application on real problems in agriculture. |
| Course schedule |
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1. Guidance, quantitative analysis in agricultural economics 2. Fundamentals of statistics 1: representative value 3. Fundamentals of statistics 2：distribution of data and correlation 4. Fundamentals of statistics 3: Gini coefficient and contribution 5. Single linear regression models 6. Multiple linear regression models 7. Hypothesis testing for linear regression models 8. Summary and midterm examination 9. Dummy variables in regression models 10 Time series data and serial correlation 11 Structural equation and endogeneity 12 Qualitative variables and non-linear regressions 13 Input-output analysis 14 Application of regression model with economic theory 1: Case of Japanese agrictulre 15 Application of regression model with economic theory 2: Case of overseas agriculture ** The above schedule may change depending on the progress. |
| Prerequisites |
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This is part of the Courses of Agricultural economics and management. In addition to 30 hours that students spend in the class, students are recommended to prepare for and revise the lectures, spending the standard amount of time as specified by the University. |
| Required Text(s) and Materials |
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Shirasago, T. (2007) Econometrics, 2nd edition. Nihon hyouron sya (in Japanese). |
| References |
| Assessment/Grading |
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Grades will be given with the following weights: Assignment (as needed) 20% To deepen understanding of lectures. Midterm examination (at the 8th lecture), 30% Be able to estimate simple regression models using Excel. Term paper (50%) Be able to apply regression models and discuss the results. |
| Message from instructor(s) |
| Course keywords |
| Office hours |
| After each lecture |
| Remarks 1 |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Japanese |
| Language Subject |
| Last update |
| 9/21/2022 11:16:45 AM |