基本素養 Basic Literacy

人文素養
Spirit of Humanism
公民素養
Civil literacy
社會關懷
Social concern
經世濟民
Benefit people and the society
國際視野
International Perspective

核心能力 Competence

具備系定專業知識
Professional knowledge in economics
具備跨領域應用能力
Cultivate students to have ability of interdisciplinary application
具有批判及推理之能力
Abilities of Critique and Reasoning
具有建構經濟模型及分析之能力
Abilities to Construct Economic Models and Analysis
具有研讀及撰寫專業論文之能力
Abilities to Read and Write Professional Thesis
具備團體合作協調能力
Abilities of Cooperationa and Coordination
具備創新思維及分析經濟相關議題之能力
Innovative and the Ability to Analyze Economy-Related Issues

課程概述 Course Description

此課程針對研一同學所開設之系列課程,本系列為一學年兩學期之計量理論及方法,著重於統計方法及計量模型的證明,但學生將學習如何使用計量分析工具進行基本的實證研究,講題主要以簡單迴歸及複迴歸模型為主。除了理論推導之外,同學將學習如何使用統計軟體EViews做計量模型估計。
This is an advanced course intended to serve as a first econometrics course for economics graduate students. Econometrics (I) is half of a two semester sequence which concludes in the second semester with Econometrics (II). Econometrics (I) covers regression analysis. Econometrics (I) does not attempt to survey econometrics and students who take Econometrics (I) should under normal circumstances take Econometrics (II) as well. The course is largely theoretical, but yet students will learn how to make use of these tools to conduct basic empirical study. Thus, the class will be proceeded in two ways: lectures and computer hands-on (take place at Computer and Network center). We will use EViews with data examples for data analysis and modeling.

課程學習目標 Course Objectives

  • the use of regression and consequences of failure of the analysis
  • how to estimate the regression coefficients
  • how to test hypotheses
  • 課程進度 Course Outline

    週次 Week進度說明 Progress Description
    1Preparation and Reviews
    2The Simple Linear Regression
    3The Simple Linear Regression
    4The Simple Linear Regression
    5Quiz
    6The Multiple Regression
    7The Multiple Regression
    8The Multiple Regression
    9The Multiple Regression
    10Midterm
    11Violations of the Classical Regression Assumptions
    12Violations of the Classical Regression Assumptions
    13Violations of the Classical Regression Assumptions
    14Quiz
    15Violations of the Classical Regression Assumptions
    16Violations of the Classical Regression Assumptions
    17Violations of the Classical Regression Assumptions
    18Final Exam
     以上每週進度教師可依上課情況做適度調整。The schedule may be subject to change.

    有關課程其他調查 Other Surveys of Courses

    1.本課程是否規劃業界教師參與教學或演講? 否
    Is there any industry specialist invited in this course? How many times? No
    2.本課程是否規劃內含校外實習 (並非參訪)? 否
    Is there any in (out of) school practicum involved in this course? How many hours? No