EC 570
Problem Set 1
First Half
Due Date: January 22nd
Total points: 54 points
Instructions: Give a justication to all of your answers. Use your own choice of paper but
make sure to staple the sheets together.
Question 1:
a) Show that
n
i=1 xi (xi
x) =
n
Dougherty: Introduction to Econometrics 4e
Instructors Manual
3
MULTIPLE REGRESSION ANALYSIS
3.1 Illustration: a model with two explanatory variables
3.2 Derivation and interpretation of the multiple regression coefficients
3.1
The output is the result of
Problem Set 3
ECON 570
Verdier Valentin
Due Date: 02/26/2015
Total: 60 points
Question 1:
From the data MEAP93.dta estimate 0 , 1 , 2 and 3 by OLS from the model:
math10 = 0 + 1 totcomp + 2 staf f + 3 enroll + u
which intends to explain tenth-grade math t
EC 420
Problem Set 1
First Half
Answer Key
Due Date: January 25th
54 pts
Total points: 45 pts
54 points
Instructions: Give a justification to all of your answers. Use your own choice of paper but make sure to
staple the sheets together.
Question 1:
a) Sho
ApEc 8212 Applied Econometrics - Lecture #28 Time Series Analysis VII: Trends in Time Series Data (Enders, Chap. 4, Sections 1-7) I. Deterministic and Stochastic Trends In general, stochastic difference equations have 3 parts: yt = trend + stationary comp
Econ 570
Econometrics
Prof. Aguilar
UNC at Chapel Hill
Student Name:
PID:
Honor Code Signature:
HW #1 Due - 09/05/13 @ beginning of lecture
Instructions:
Students may work together, but each must turn in their own assignment.
Problems marked with (STATA
Assignment Two
Panel data can be entered in one of two formats. Long orientation is when you
store all of your y values into a single variable y (and similarly for each of your x
variables) with other variables recording information on the identity of eac
Wooldridge, Introductory Econometrics, 4th
ed.
Chapter 8: Heteroskedasticity
In laying out the standard regression model,
we made the assumption of homoskedasticity
of the regression error term: that its variance
is assumed to be constant in the populatio
Classical Multiple Regression
y is a random scalar that is partially explained by x but partial explained by unobserved
things that together are denoted by the random variable . Since is unobserved, we
scale it so that its mean is zero, but it has a varia
UAlbany (Eco420Z)
Fall 2005 S. Chen
Lecture Note 7: Sampling Distribution of Regression Estimates (Reading: Wooldridge Section
2.5)
We want to use the sample slope, 1 = sxy /s2 , to estimate the population slope. Likewise
x
we use the sample intercept, 0
1
Chapter 7 Multivariate Linear Regression Models
7.1-7.3: Least Squares Estimation
Data available:
(Y1 , z11 , z12 , , z1r ), (Y2 , z 21 , z 22 , , z 2 r ), , (Yn , z n1 , z n 2 , , z nr ).
The multiple linear regression model for the above data is
Yi =
3 Multiple linear regression: estimation and properties
Ezequiel Uriel
Universidad de Valencia
Version: 09-2013
3.1 The multiple linear regression model
3.1.1 Population regression model and population regression function
3.1.2 Sample regression function
Assignment one: OLS
Your database is rarely given to you in a format that is immediately useable for
empirical analysis. Often, you will have to create new variables or to recode existing
variables. For example, you might be given the variables quantity (
ECON 570
Theoretical Justification
The idea of government intervention in the healthcare system is a slippery slope
to slide down. It is encompassed by the potential for moral hazard to exists, ethical dilemmas to
be faced, and constitutional rights to be
Quiz 8
1. Examples of opportunity sets do not include:
(a) household budget lines.
(b) politicians margins of electoral victories.
(c) a non-trading countrys production possibilities frontier.
(d) the consumption possibilities frontier for an open economy
Quiz 5
1.
Thorstein Veblen would have viewed modern investment bankers as: (a) members
of the proletariat. (b) entrepreneurs. (c) sophisticated bean counters. (d) financial
engineers. (e) parasites.
2. A cultural relativist with respect to his views on mo
Name_
Final Examination
Econ. 570
Prof. Jonathan B. Hill
Spring 2011
Instructions: Put your name on each sheet of this handout and return it to me with your Blue Books. Read the exam thoroughly before you
begin. There are 200 points possible, and you have
Midterm Examination - Key
Econ. 570
Prof. Jonathan B. Hill
Spring 2011
1.
a.
FALSE: The OLS estimators i are in general correlated with each other. An F-statistic controls for this
correlation, while individual t-statistics do not. An example is when the
Name_
Midterm Examination
Econ. 570
Prof. Jonathan B. Hill
Spring 2011
Instructions: Put your name on each sheet of this handout and return it to me with your Blue Books. Read the exam
thoroughly before you begin. There are 100 points possible, and you ha
Midterm Examination - Practice Problems
Econ. 570
Prof. Jonathan B. Hill
1.
Explain the reason why you agree or disagree with the following statements. Write clearly whether
you agree or disagree, and provide a brief, clear explanation or proof. Points ar
HW 4
1)
Combinations of goods at points outside the budget line (income constraint):
(a) maximize household utility from income.
(b) yield less utility than combinations inside the income constraint.
(c) cant be consumed, but dont maximize utility.
(d) ca
Quiz 4 from Video
1. Alexander Hamiltons advocacy of tariffs to protect infant industries was later
echoed in the works of: (a) German historicists. (b) mercantilists. (c) American
institutionalists. (d) David Hume. (e) French physiocrats.
2. The implicit
Lecture Notes 2
III. Random variables
A random variable takes on a numerical value that is determined by chance. W e will
use X or Y to denote a specific generic random variable, and x or y to indicate a specific
value that the variable could take. For ex
Lecture Notes 1
I. Descriptive statistics
First of all, we should distinguish between two concepts: the population is the entire
group that we wish to study, while the sample is the subset of the population for which
we have information. Some formulas wil
Homework #3
Due: April 27, 2012 (approximately)
For all of these problems, use your own value with the set seed commands.
This number helps Stata create randomness. The number of digits you use isnt
important.
1. For this assignment, you will generate dat
Practice Final Examination
Econ. 570
Prof. Jonathan B. Hill
1.
Explain the reason why you agree or disagree with the following statements. Write clearly whether you
agree or disagree, and provide a brief, clear explanation or proof. Points are given only
Econometrics
Ju Hyun Kim
Will I learn anything useful here?
Yes!
Methods that you will learn in this course are
directly applicable to empirical analysis in
any field of economics.
Professor: Ju Hyun Kim,
juhkim@email.unc.edu
Office hours: Wed. 10 am no
Department of Economics
UNC at Chapel Hill
Econ 570
Fall
2015
Oct. 20. Tuesday
Midterm
Prof. Ju Hyun Kim
Instructions
1. Do not turn this page until so instructed.
2. You are permitted to use a calculator. No computers, wireless, or other electronic
devic