Multiple Regression Analysis: Estimation
Econometrics
Byung-Joo Lee
University of Notre Dame
Econ 30331 (Institute)
Chapter 3
University of Notre Dame
1 / 22
Multiple Regression
Consider the wage equation that we studied in Chapter 2. We can specify
multi

Economics 30331
Prof. Kasey S. Buckles
Problem Set 1
Due at the beginning of class Tuesday, September 6, 2016
You are encouraged to work in groups of up to four people, and only one assignment has to be
turned in for the entire group. Putting your name on

Economics 30331
Prof. Kasey S. Buckles
Problem Set 2
Due at the beginning of class September 20, 2016
You are encouraged to work in groups of up to four people, and only one assignment has to be
turned in for the entire group. Putting your name on the gro

Economics 30331
Prof. Kasey S. Buckles
Problem Set 1 - Solutions
Part I. For each problem, briefly explain how you got your answer.
1. 12 points, 3 for each part.
a. 0.694
b. P(Have a second child | 1st child is a boy) can be written as P(Have a second ch

Economics 30331
Prof. Kasey S. Buckles
Problem Set 3
Due at the beginning of class October 27, 2016
You are encouraged to work in groups of up to four people, and only one assignment has to be turned
in for the entire group. Putting your name on the group

MODEL PROIECT
Tema proiectului
Exemplu: Analiza corelaiei dintre veniturile i cheltuielile gospodriilor populaiei din
Romnia
Autor: nume i prenume, specializarea, grupa
Coordonator: Lector univ. dr. Stoicua Nadia
Abstract. n cteva rnduri se va descrie tem

Heteroskedasticity
Econometrics
Byung-Joo Lee
University of Notre Dame
Econ 30331 (Institute)
Chapter 8
University of Notre Dame
1 / 24
Introduction: Homoskedasticity
Homoskedasticity:
Var (u jx ) = 2
(1)
This assumption fails in most of the cross-section

Serial Correlation and Heteroskedasticity in Time Series
Regression
Econometrics
Byung-Joo Lee
University of Notre Dame
Econ 30331 (Institute)
Chapter 12
University of Notre Dame
1 / 18
Unbiased and Consistency
Serial Correlation
yt = 0 + 1 xt + ut , wher

Regression Analysis with Time Series Data
Econometrics
Byung-Joo Lee
University of Notre Dame
Econ 30331 (Institute)
Chapter 10
University of Notre Dame
1 / 22
The Nature of Time-Series Data
Time-series data has several dierent properties from cross-secti

More on Specication and Data Problems
Econometrics
Byung-Joo Lee
University of Notre Dame
Econ 30331 (Institute)
Chapter 9
University of Notre Dame
1 / 20
Introduction
This Chapter deals with the violation of yet another assumption,
E (u jx) = 0, that is,

The Simple Regression Model
Econometrics
Byung-Joo Lee
University of Notre Dame
Econ 30331 (Institute)
Chapter 2
University of Notre Dame
1 / 24
Simple Linear Regression
Simple Linear Regression
y = 0 + 1 x + u
(1)
y : Dependent, Explained, Response, Pred

Multiple Regression Analysis: Further Issues
Econometrics
Byung-Joo Lee
University of Notre Dame
Econ 30331 (Institute)
Chapter 6
University of Notre Dame
1 / 21
Eects of Data Scaling on OLS Statistics
Measurement Unit
OLS regression estimates preserve al

Multiple Regression Analysis: OLS Asymptotics
Econometrics
Byung-Joo Lee
University of Notre Dame
Econ 30331 (Institute)
Chapter 5
University of Notre Dame
1 / 13
Introduction
In Chapters 3 and 4, we have studied nite sample or exact properties of
OLS est

The Nature of Econometrics and Economic Data
Econometrics
Byung-Joo Lee
University of Notre Dame
Econ 30331 (Institute)
Chapter 1
University of Notre Dame
1 / 14
What is Econometrics?
Econometrics: Economic measurement. Empirical determination of
economic

Economics 30331
Prof. Kasey Buckles
Problem Set 2
ANSWERS 60 points possible
Part I.
1. 2 points for correct answer, 3 for explanation.
d) all of the above
This just indicates that OLS is consistent, that the usual t-statistic can be considered to be draw