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Econ 322 ECONOMETRICS
Section H6
Instructor: Shuyang Yang
FINAL EXAM
Name:
_
Student ID:
_
Instruction:
1. This exam will take 120 minutes. Please allocate your time accordingly.
2. This is a closed book and closed note quiz. Selected formulas and distrib

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Econometrics 01:200:322 BI
Professor SungKyung Lee
Chapter 1Economic Questions and Data
Randomized controlled experimentit is controlled by a control group (receives no treatment) and a
treatment group (receives treatment)
o Treatment is assigned randoml

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Econ 322 ECONOMETRICS
lnstructor: Shuyang Yang
Sample Question 2
Name: Student ID:
Part 1. Multiple Choice
n | 59?
1. In the multiple regression model, the adjusted R2, R = I (lei) T39
A. cannot be negative. X fix/able ,
B. will never be greater than the

"5*" 10:06 AM (E? 97% [:1-
Sakai
* Econ 322 Joint Hypothesis Testing Stata
Example
* Amanda Agan
* Fall 2016
/* You need to either change your directory to
the directory where the cpsexample.dta
data is located. */
cd "/Users/aagan/Desktop" /*change to

? 10:06 AM
Sakai
mispterl
Randomized Trials
0
KWM CHANG Came: What happens in a man's life is already
written. A. man must move through life as his destiny lwills.
OLE: MAN: 1Ieteach 1's lree to live as he chooses. Though they seem
opposite, both are true

10:08 AM Is 96%|;:;I-
Sakai
Amanda Agan
September 29, 2016
Announcements
I Date for Midterm 1: Thursday October 13. 2016!
I'- You may bring a 3 x 5 notecard written on both sides as a cheat sheet (I will
bring some to class next weeks)
I- You may bring a

Chapter 1:
Steps to test an Economic Theory:
1. Formulate a question of interest
2. Create a formal or informal economic model
3. Specify an econometric model
4. State hypothesis in terms of model parameters
5. Gather data
6. Estimate model parameters usi

Econ 322 ECONOMETRICS
Section H6
Instructor: Shuyang Yang
FINAL EXAM
Name:
_
Student ID:
_
Instruction:
1. This exam will take 120 minutes. Please allocate your time accordingly.
2. This is a closed book and closed note quiz. Selected formulas and distrib

Econ 322 ECONOMETRICS
Instructor: Shuyang Yang
Sample Question 2
Name:
_
Student ID:
_
Part I. Multiple Choice
1. In the multiple regression model, the adjusted R2,
A. cannot be negative.
B. will never be greater than the regression R2.
C. equals the squa

Econ 322 ECONOMETRICS
Section H6
Instructor: Shuyang Yang
Sample Question for Quiz1
Part I. Multiple Choice
1. The skewness is most likely positive for one of the following distributions:
A. The grade distribution at your college or university.
B. The U.S

Econ 322 ECONOMETRICS
Section H6
Instructor: Shuyang Yang
Sample Question for Quiz1
Part I. Multiple Choice
1. The skewness is most likely positive for one of the following distributions:
A. The grade distribution at your college or university.
B. The U.S

Introduction
to OLS
Prof.
Paczkowski
Lecture 4
Introduction to OLS
Prof. Paczkowski
Rutgers University
Fall, 2016
Prof. Paczkowski
Introduction to OLS
Fall, 2016
1 / 190
Introduction
to OLS
Prof.
Paczkowski
Part I
Assignment
Prof. Paczkowski
Introduction

Multiple
Regression
Prof.
Paczkowski
Lecture 5
Introduction to Multiple Regression
Prof. Paczkowski
Rutgers University
Fall, 2016
Prof. Paczkowski
Multiple Regression
Fall, 2016
1 / 133
Multiple
Regression
Prof.
Paczkowski
Part I
Assignment
Prof. Paczkows

Prof.
Paczkowski
Lecture 6
Multicollinearity
Prof. Paczkowski
Rutgers University
Fall, 2016
Prof. Paczkowski
Fall, 2016
1 / 48
Prof.
Paczkowski
Part I
Assignment
Prof. Paczkowski
Fall, 2016
2 / 48
Assignment
Prof.
Paczkowski
Adkins, L.
eBook on GRETL
http

Econometrics
Shuyang Yang
Panel Data
Regression Models
for Panel Data
Fixed Eects
Estimator
Introduction to Econometrics
Chapter 10: Regression with Panel Data
Shuyang Yang
ECON 322
December 11, 2015
Econometrics
Overview
Shuyang Yang
Panel Data
Regressio

Econometrics
Shuyang Yang
Forecasting
Stationarity
AR models
BIC
AIC
Forecast
Accuracy and
Forecast
Intervals
RMSE
Introduction to Econometrics
Chapter 14: Intro to Time Series Methods
Shuyang Yang
ECON 322
August 10, 2015
Econometrics
Overview
Shuyang Ya

"5*" 10:08 AM (E? 97% [:1-
Sakai
Econ 322: Econometrics
Review of Probability and Statistics lll
Amanda Agan
September 15, 2016
Ember 15. 21115 1120
Announcements
I On the slides from last week there was an incorrect definition cfw_now fixed on
the slides

10:08 AM ii? 96% [:1-
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egressuon
Amanda Agan
September 22, 2016
Announcements
I Tentative Date for Midterm 1: Thursday October 13. 2016! NOTE
CHANGE
I- You may bring a 3 x 5 notecard written on both sides as a cheat sheet (I will
bring some to class

Gmail
Course Hero
Your documents are being processed. - Course.
Amanda Agan
September 27, 2016
Announcements
Date for Midterm 1: Thursday October 13. 2016!
Iv You may bring a 3 x 5 notecard written on both sides as a cheat sheet (I will
bring some to clas

Chapter 1 Experiments
01/23/2016
Experiments
Randomized Experiments
Consider the following example:
Suppose we wish to determine the effect of a new drug on the incidence of heart disease
in human patients. If we have enough resources the following experi

Chapter 2 Probability Concepts (Random Variables)
04/08/2016
Random Variables
A random variable is any variable whose value is unknown now but will become
known at some later date.
The values that a random variable can take are governed by a random proces

Joint()ProbabilityDistributions
01/29/2016
Interactions between Random Variables
In economics we are usually interested in building models that explain behavior from
individuals based on their individual characteristics. For example, we may be interested

Probability Concepts (Moments of Random Variables)
04/08/2016
Moments of a Random Variable
A random variable X (assume from now on that X is a discrete RV) has a probability
distribution function F(x) where
Prob(X = x) = F(x)
Let X be the set of all possi

Part 1 of 1 -
5.0/ 5.0 Points
Question 1 of 12
Wagei = 0 + 1 Educationi + ui What is the meaning of 0 in this example?
Beta 0 is the Y-intercept of the function. It tells you the expected wage when education is 0
Question 2 of 12
What is the meaning of 1

Question 1 of 10
Create two new variables: Agei2 is the square of Agei (to do this click on Genr and enter AGE2=Age^2) Femaleeducationi is equal to the education of that person if she is a female and is equal to zero if that person is male (to create this

Question 1 of 13
Estimate these two models: 1) Wagei = 0 + 1agei+ui 2) Wagei = 0 + 1agei+2educationi + ui report the estimate for 1 in the first model.
0.458041
Question 2 of 13
report the estimate for 1 in the second model.
0.069477
Question 3 of 13
What