Mathematics for Economics II

科目授業名: Mathematics for Business and Economics II

授業内容: To study the theoretical side of social science, knowledge and technique of mathematics are seriously needed. This course is devoted to understanding the mathematics necessary for the further studies in advanced undergraduate courses and graduate school. The main aims are to learn the theoretical concepts of mathematics and at the same time to practice the applications in economics.

授業の狙い: The main objective of this course is to get used to manipulate linear algebra and to learn the theoretical concepts of the expected value, random variable, distribution, large sample theory, interval estimation, and estimator as well as to see when and how it can be applied.

教科書:

関連科目や履修上望むこと: Prerequisite: Mathematics for Business and Economics I. Class evaluation includes exercise sessions: students will be asked to solve examples at the blackboard.

授業計画[30回]:

  1. Introduction
  2. Probability – counting techniques
  3. Conditional probability and independence
  4. Random variables
  5. Probability distributions
  6. Expected value
  7. Conditional mean and variance
  8. Binomial random variables
  9. Normal random variables
  10. Modes of convergence
  11. Laws of large numbers and central limit theorems
  12. Distribution theory
  13. Properties of Estimators
  14. Maximum likelihood estimator
  15. Interval estimation 
  16. Bayesian method
  17. Neyman-Pearson lemma
  18. Examples of hypothesis tests
  19. Least squares estimators
  20. Tests of hypotheses in bivariate regressions
  21. Elements of matrix analysis
  22. Properties of the symmetric matrix
  23. Multiple regression model
  24. Selection of regressors
  25. Time series regression
  26. Nonlinear regression model
  27. Qualitative response model
  28. Tobit model
  29. Review
  30. Evaluation

Evaluation Components

  • class evaluation via exercise sessions (60%)
  • Take-home final exam (40%)