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 01AN3506
Instructor(s)
草処 基   [KUSADOKORO Motoi]
Facility affiliation Faculty of Agriculture Office   Email address

Course description
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. 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.

Expected Learning
Students are expected to learn fundamental theory and methods of statistics and regression models and have greater confidence in its application on real problems in agriculture.
Course schedule
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. 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
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
Shirasago, T. (2007) Econometrics, 2nd edition. Nihon hyouron sya (in Japanese).
References
Assessment/Grading
Grades will be given with the following weights:
Ordinal(20%), Midterm examination (30%), Term paper (50%)
Message from instructor(s)
Course keywords
Office hours
Remarks 1
Remarks 2
Related URL
Lecture Language
Japanese
Language Subject
Last update
2/26/2019 7:23:44 PM