学部・大学院区分
Undergraduate / Graduate
経・博前
時間割コード
Registration Code
2491106
科目区分
Course Category
科目名 【日本語】
Course Title
エコノメトリックス Ⅱ (E)
科目名 【英語】
Course Title
Econometrics II (E)
コースナンバリングコード
Course Numbering Code
EGLET5312E
担当教員 【日本語】
Instructor
MARTIN RODRIGUEZ Maria ○
担当教員 【英語】
Instructor
MARTIN RODRIGUEZ Maria ○
担当教員所属【日本語】
instructor's belongs
担当教員所属【英語】
instructor's belongs
単位数
Credits
2
配当年次
dividend Yearly
開講期・開講時間帯
Term / Day / Period
春 火曜日 4時限
Spring Tue 4
授業形態
Course style
講義
Lecture


授業の目的 【日本語】
Goals of the Course(JPN)
授業の目的 【英語】
Goals of the Course
The course aims to emphasize the differences across several inferences, so that students can correctly identify the test statistics to be used in each case and to interpret the results.
At the end of the course, students will be able to test hypotheses about different parameters when only one population is involved, to test hypotheses regarding differences and ratios of parameters when two populations are involved, and to test hypotheses concerning the linear correlation coefficient and the slope of the line of best fit.
到達目標 【日本語】
Objectives of the Course(JPN)
授業の内容や構成
Course Content / Plan
1 (April 13)
Review of the Statistical Inference covered in Econometrics I.
2 (April 20)
Inferences Involving One Population: Inferences about the Mean, Variance Unknown.
3 (April 27)
Inferences Involving One Population: Inferences about the Variance.
4 (May 11)
Inferences Involving One Population: Inferences about the Binomial Probability of Success.
5 (May 18)
Review of Problem Set 1.
6 (May 25)
Summary and Partial evaluation 1.
7 (June 1)
Inferences Involving Two Populations: Mean Difference.
8 (June 8)
Inferences Involving Two Populations: Difference Between Proportions.
9 (June 15)
Inferences Involving Two Populations: Ratio of Variances.
10 (June 22)
Linear Correlation and Regression Analysis 1: Linear Correlation Analysis and its Inferences.
11 (June 29)
Linear Correlation and Regression Analysis 2: Linear Correlation Analysis and its Inferences.
12 (July 6)
Linear Correlation and Regression Analysis 3: Confidence Intervals and Interpretations.
13 (July 13)
Review of Problem Set 2.
14 (July 20)
Summary and Partial evaluation 2.
15 (July 27)
FINAL SUMMARY AND EVALUATION.
履修条件・関連する科目
Course Prerequisites and Related Courses
While there are no prerequisites, this course is recommended for students who have taken Econometrics I.
成績評価の方法と基準
Course Evaluation Method and Criteria
2 partial evaluations (30% each) and a final evaluation (40%). Getting a total average above 60% is necessary to pass the course.
教科書・参考書
Textbook/Reference Book
Course materials will be distributed via NUCT.
Texbooks:
Johnson, R., Kuby, P., 2012. Elementary Statistics. International edition of the 11th revised edition, Cengage Learning.
Reference books: to be announced in class if necessary.
課外学習等(授業時間外学習の指示)
Study Load(Self-directed Learning Outside Course Hours)
Students must read the chapter in the book corresponding to each weekly lecture in advance. They should also attempt to solve the problem sets by themselves before the solution is provided.
注意事項
Notice for Students
Office hours are available upon request.
授業開講形態等
Lecture format, etc.
遠隔授業(オンデマンド型)で行う場合の追加措置
Additional measures for remote class (on-demand class)