Econ 104 - Problem Set 1 Solutions
Lorenzo Braccini, Micheal Chirico and Yang Liu
January 31, 2013
Problem 1
First note that if X and Y represent respectively the salary of a scientist
in thousands of
My signature below certies that I have complied with the University of Pennsylvania Code of
s
Academic Integrity in completing this examination.
_
Name (printed)
_
_
_
Signature
Date
Final Exam Econ 1
Econ 104 - Problem Set 1 Solutions
Lorenzo Braccini, Micheal Chirico and Yang Liu
February 14, 2013
Question 1
a) Note that:
E(Yi |Xi = 1) E(Yi |Xi = 0) = 1
Therefore the parameter 1 represents the di
University of Pennsylvania
Econ 104 Spring 2013
Prof. Xu Cheng
Midterm Practice A
1. (15 Consider the regression model Yi =
)
0
+
1 Xi
+ Ui : The data is f(Xi ; Yi ) : i = 1; :; ng:
= 0: Derive a form
Econ 104
Spring 2013
Prof. Xu Cheng
Problem Set No.6
(Due Thursday, 4/4/2013)
1. Consider the following model of the determinants of wages
log(Y ) =
0
+
1 X1
+
2 X2
+ U;
where Y is hourly wage, X1 is
Solution to Midterm Practice A
Spring 2013
1
Problem 1
(a) Notice that ^ 1 is a solution of the following problem
"n
#
X
2
min
(Yi b1 Xi ) :
b1
i=1
The First Order necessary condition for a minimum te
Econ 104 - Problem Set 1 Solutions
Lorenzo Braccini, Micheal Chirico and Yang Liu
Economics 104 Problem Set 4 Solutions
February 20, 2013
Chamna Yoon
Lorenzo Braccini
Yu Wang
February 16, 2012
Problem
University of Pennsylvania
Econ 104 Spring 2013
Prof. Xu Cheng
Midterm Practice B
1. (15 Suppose Y = a + bX + U and E (U jX ) = 0: Let E (X ) =
)
and V ar(X ) =
2:
(a) (5 What is E (Y jX ) in this exa
Solution to Midterm Practice B
Spring 2013
Question 1
(a)
E [Y jX ] = E [a + bX + U jX ]
= a + bX + E [U jX ]
= a + bX;
where 2nd line uses the fact that E [X jX ] = X and 3rd uses the assumption that
Julian Addo
Practice Problem Set
1. On the web find time series of quarterly real GDP and quarterly real consumption
for a country of your choice. Provide details
US Quarterly real GDP (2005 chained d
Question *.
Consider the estimation results on the next page.
a. Was the frequency of the data annual, quarterly, monthly, or weekly? How can you tell?
b. Interpret the estimated regression coefficien
ECON104
Problem Set 5 Solutions Spring 2013
Lorenzo Braccini, Michael Chirico and Yang Liu for Dr. Xu Cheng
March 30, 2013
1 City-level Panel Data
Model:
Yi,t = 0 + 1 Xi,t + 2 Pi,t + i + ui,t
67
Data
Econ 104
Spring 2013
Prof. Xu Cheng
Problem Set No.4
(Due Thursday, 02/21/12)
1. Suppose you are interested in estimating the eect of hours spent in an SAT preparation
course (hours ) on total SAT sco
Introduction to Econometrics
Review Session 12
Yang Liu
Nov 29-30. 2012
Roadmap
PS 2
Stationary
Log
Garch
Stock Return
PS 2
Nice
PS 2
Nice
PS 2
Structure matters
Not Q&A
Build the model progressi
Midterm 1
Econ 104, Introduction to Econometrics
July 16, 2015
You will have 120 minutes to complete
this exam. Graphing calculators, notes,
and textbooks are not permitted.
I pledge that, in taking a
ECON104
Problem Set 7 Solutions Spring 2013
Lorenzo Braccini, Michael Chirico and Yang Liu for Dr. Xu Cheng
April 15, 2013
1 Mortgage Applications Using
Probit
Model
Yi = 1 [0 + 1 Xi + 2 Zi ui ]
rejec
Econ 104
Spring 2013
Prof. Xu Cheng
Problem Set No.1
(Due 01/31/13 in class)
1. Let X denote the annual salary of scientists in the United States, measured in thousands of
dollars. Suppose that E (X )
Heteroskedasticity and Nonlinearity
October 23, 2015
Heteroskedasticity and Nonlinearity
Heteroskedasticity
Data
Squared Residuals
Heteroskedasticity and Nonlinearity
Heteroskedasticity 2
Heteroskedas
Introduction
to R
Econ 104:
Recitation 1
Basic
Calculations
Introduction to R
Variables
Work with
data
Econ 104: Recitation 1
Saving
Getting Help
University of Pennsylvania
Improving
Your Skills
Septe
Simple Linear Regression in R
Econ 104: Recitation 2
University of Pennsylvania
September 14th, 2015
Econ 104: Recitation 2
Simple Linear Regression in R
1
Overview
Preliminaries
Estimating the Model
Assignment 3
Econ 104-920 Econometrics
Summer 2015
Instructor: Angel P. Iglesias Daz
July 15, 2015
Problem 1
Let X be a continuous random variable with support [1, c] and pdf f (x) = 1/x.
1. What is t
Assignment 1
Econ 104-920 Econometrics
Summer 2015
Instructor: Angel P. Iglesias Daz
July 14, 2015
Problem 1
Suppose we want to estimate the following n observations using the linear model:
yi = xi +
Assignment 1
Econ 104-920 Econometrics
Summer 2015
Instructor: Angel P. Iglesias D
az
July 14, 2015
Problem 1
Suppose we have a a unit circle and we uniformly choose a point X, Y within it. In this ca
Large Sample Behavior of OLS
Econ 104: Recitation 3
University of Pennsylvania
September 2014
Econ 104: Recitation 3 (UPenn)
Large Sample Behavior of OLS
09/11
1/7
Overview
Review of problem set 1
Law
Multiple Regression
OLS estimate of the Test Score/STR relation:
TestScore = 698.9 2.28STR, R2 = .05, SER = 18.6
(10.4) (0.52)
Is this a credible estimate of the causal effect on test
scores of a chan
IV Regression
Econ 104: Recitation 10
University of Pennsylvania
Econ 104: Recitation 10
IV Regression
1
Endogenous and Exogenous Variables
Suppose we want to estimate demand and supply equations:
Dem
Nonlinear Regression Functions
Everything so far has been linear in the Xs
The approximation that the regression function is
linear might be good for some variables, but not for
others.
The multipl
April 16, 2017
ECON 104
Ni Wang #202
Problem Set #6
1. What is the base year of real GDPI and at what frequency is it measured?
The base year of real GPDI is 1970 and the data has a frequency of 4(qua
Ajjit Narayanan
ECON 104 PS 3
Introduction
The purpose of this paper is to build a time series regression for U.S. quarterly e-commerce retail
sales, NSA in millions of dollars. The data is called ser
Problem Set 2
Ajjit Narayanan
I. Introduction
The purpose of this paper is to build a multiple regression model to explain and forecast
wages for people based on years of education, experience, and de
Econ 104 Problem Set 1
Ajjit Narayanan
23 September 2017
Question A1) Consider an iid random sample of size N from density f for four cases: N=10,
N=500, f=N(2,2), and f=ChiSquare(2), and consider the
Problem Set 4
1. Regressing deflated Sales on Employment and Deflated Capital:
Transformation of variables from log to linear (Appendix, 2)
sal= exp(ldsal)
emp=exp(lemp)
npt=exp(ldnpt)
Dependent varia