基本素養 Basic Literacy

文化傳承
Culture transition
歷史意識
Historical consciousness
藝術涵養
Artistic literacy
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

鞏固系定基礎知識
Consolidate fundamental knowledge in economics
獲得跨領域的多樣化知識
Acquire diversified knowledge from interdisciplinary fields
熟悉經濟分析工具
Be familiar with tools for economic analysis
擴展經濟應用
Expand economic applications
語文與溝通能力
Language proficiency and communication ability
創新與領導能力
Innovative and Leadership Abilities

課程概述 Course Description

本課程之設計乃是針對具有基礎統計學與經濟學背景的學生,介紹如何利用數量分析方法加以驗證經濟學之理論,因此本課程旨在建立學生對於計量經濟學之分析方法及迴歸模型基本之認知。除了對於基本的機率理論及統計概念會稍作複習外,講授內容包括:(1) 簡單線性迴歸模型之設定及估計;(2) 最小平方估計式之抽樣特性;(3) 簡單線性迴歸模型之區間估計及假設檢定;(4) 簡單線性迴歸模型之函數型式之設定及選擇;(5) 複迴歸模型之估計及統計推論。教學內容除了著重量方法之分析及解釋之外,也會指導同學運用Microsoft Excel之統計分析模組來進行迴歸模型之估計與分析。
We will study basic tools of data analysis including simple and multiple regressions. The purpose of this course is to introduce econometrics models and hypothesis testing. The topics include (1) specification and estimation of the simple linear regression model; (2) properties of the least squares estimators; (3) inference in the simple regression model; (4) functional form and selection of the simple linear regression model; (5) estimation and inference of the multiple regression model. In addition, 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 Microsoft Excel with data examples for data analysis and modeling.

課程學習目標 Course Objectives

  • study basic tools of data analysis including simple and multiple regressions
  • introduce econometrics models and hypothesis testing
  • make use of these tools to conduct basic empirical study
  • 課程進度 Course Outline

    週次 Week進度說明 Progress Description
    1What is Econometrics?
    2Review of Basic Statistics and Probability
    3Review of Basic Statistics and Probability
    4Quiz
    5Simple Linear Regression Model: Specification and Estimation
    6Simple Linear Regression Model: Specification and Estimation
    7Properties of the Least Squares Estimators
    8Properties of the Least Squares Estimators
    9Midterm Exam
    10Inference in the Simple Regression Model: Interval Estimation, Hypothesis Testing, and Prediction
    11Inference in the Simple Regression Model: Interval Estimation, Hypothesis Testing, and Prediction
    12Inference in the Simple Regression Model: Interval Estimation, Hypothesis Testing, and Prediction
    13The Simple Linear Regression Model: Prediction, Goodness-of-Fit and Modeling Issues
    14The Simple Linear Regression Model: Prediction, Goodness-of-Fit and Modeling Issues
    15The Simple Linear Regression Model: Prediction, Goodness-of-Fit and Modeling Issues
    16The Multiple Regression Model
    17The Multiple Regression Model
    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