課程資訊
課程名稱
 統計學與計量經濟學暨實習下
Statistics and Econometrics with Recitation(2) 
開課學期
 103-2 
授課對象
 經濟學系  
授課教師
 朱建達 
課號
 ECON2015 
課程識別碼
 303E26612 
班次
 03 
學分
 4 
全/半年
 全年 
必/選修
 必修 
上課時間
 星期二5,6,7(12:20~15:10)星期三2,3,4(9:10~12:10) 
上課地點
 社科404社科404 
備註
 本課程以英語授課。三234為正課，二567為實習課。上學期為張勝凱老師授課。
總人數上限：70人 
Ceiba 課程網頁
 http://ceiba.ntu.edu.tw/1032ECON2015_03 
課程簡介影片
 
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課程概述

Statistics and Econometrics I and II are designed for Econ major students to fulfill the departmental quantitative analysis requirements, and ECON 2012 Statistics and Econometrics I is the first half of this sequence.
 

課程目標
 In Statistics and Econometrics I, we will focus on basic probability theory and fundamentals of mathematical statistics, since probability and statistics are important tools to predict economic outcomes under uncertain environments. Some important topics covered in Statistics and Econometrics I are conditional probability, interval estimation, hypothesis testing, and introduction of linear regression.

In Statistics and Econometrics II in Spring 2014, we will concentrate on elementary regression analysis and its extension to time series and panel data models. Statistics and Econometrics II is a semester long course in introductory econometrics. Its objective is to provide students with basic statistical tools and concepts that will help them estimate economic models and do subsequent inference. The prerequisite for Statistics and Econometrics II is ECON 2012 Statistics and Econometrics I. 
課程要求
  
預期每週課後學習時數
  
Office Hours
  
指定閱讀
  
參考書目
  
評量方式
(僅供參考)
    
課程進度
週次
日期
單元主題
Week 1
 2/24,2/25  No Recitation on February 24.
February 25: Review of Probability and Statistics 
Week 2
 3/03,3/04  Introduction of Econometrics; Simple Regression Model 
Week 3
 3/10,3/11  Simple Regression Model 
Week 4
 3/17,3/18  Multiple Regression Model 
Week 5
 3/24,3/25  Multiple Regression Model 
Week 6
 3/31,4/01  No Class on April 1.  
Week 7
 4/07,4/08  Dummy Variables and Heteroskedasticity 
Week 8
 4/14,4/15  Model Specification 
Week 9
 4/21,4/22  Midterm on April 22. 
Week 10
 4/28,4/29  Time Series Model 
Week 11
 5/05,5/06  Time Series Model
Spurious Regression: http://tylervigen.com/spurious-correlations 
Week 12
 5/12,5/13  Panel Data Model 
Week 13
 5/19,5/20  Panel Data Model 
Week 14
 5/26,5/27  Instrument Variables Estimation 
Week 15
 6/02,6/03  Maximum Likelihood Estimation 
Week 16
 6/09,6/10  Limited Dependent Variable Models 
Week 17
 6/16,6/17  Other Empirical Methods for Economics 
Week 18
 6/24  Final Exam