Economic Statistics II Solutions - Homework Assignment 4
Use the data set usmacro.dta that contains the monthly US unemployment rate [%]: Stata's variable name unemp, from 1984m1 to 2010m3. Define U n
ECO 321 - Introduction to Econometrics
Last points and midterm tips
Flora Leventis
Hunter College - Fall 2013
October 18, 2013
Flora Leventis (Hunter College - Fall 2013)
ECO 321 - Introduction to Eco
ECO 321 - Introduction to Econometrics
More on the error variance and the variance of and hypothesis testing
(dierent types of tests)
Flora Leventis
Hunter College - Fall 2013
October 1, 2013
Flora Le
Undertake the following exercise using Stata. You should track your work during class time
somehow (either piece by piece or use a log fileProf. Roeper should have shown you how to
do this). At the en
CHAPTER
4
Exercise Solutions
60
Chapter 4, Exercise Solutions, Principles of Econometrics, 3e 61
EXERCISE 4.1
ei2
2
( yi y )
(a)
R2 = 1
(b)
To calculate R 2 we need
( yi y )
2
=1
182.85
= 0.71051
Final Exam Review Sheet for Eco321
Topic: Empirical Research
Pros
Prove experiments using observations.
Concrete evidence
Quantifiable numerical data that can be measured
Cons
Certain data cant be
ECO 321: Answers to Problem Set 2
Instructor: Flora Leventis - Hunter College Fall 2013
October 19, 2013
Question 1:
1. 1 is the coecient on cigsi . As cigs increases by 1, bweight decreases by 1 , or
Economic Statistics II Solution - Homework Assignment 3
Part-I Using the data Growth.dta, run three regressions of Growth on Regression A: T radeShare and Y earsSchool Regression B: T radeShare and ln
ECO 321 - Introduction to Econometrics
Multiple Linear Regression Model cont.
Flora Leventis
Hunter College - Fall 2013
October 8, 2013
Flora Leventis (Hunter College - Fall 2013)
ECO 321 - Introducti
BOSTON COLLEGE
Department of Economics
EC 228 Econometrics, Prof. Baum, Ms. Yu, Fall 2003
Problem Set 4 Solutions
Problem sets should be your own work. You may work together with
classmates, but if yo
CHAPTER 1
SOLUTIONS TO PROBLEMS 1.1 (i) Ideally, we could randomly assign students to classes of different sizes. That is, each student is assigned a different class size without regard to any student
Examples of Questions on Regression Analysis:
1.
Suppose that a score on a final exam depends upon attendance and unobserved factors that
affect exam performance (such as student ability). Then,
.
Whe
Chapter 7
7.1 The null hypothesis that 1 = 0 can be tested using the t-statistic for 1 as described in
Key Concept 7.1. Similarly, the null hypothesis that 2 = 0 can be tested using the tstatistic for
Chapter 6
6.1 It is likely that 1 will be biased because of omitted variables. Schools in more affluent
districts are likely to spend more on all educational inputs and thus would have smaller
class s
Chapter 5
5.1. The p-value for a two-sided test of H 0 : = 0 using an i.i.d. set of observations Y i , i =
1, . . . , n can be constructed in three steps: (1) compute the sample mean and the
standard
Chapter 4
4.1 1 is the value of the slope in the population regression. This value is unknown. 1 (an
estimator) gives a formula for estimating the unknown value of 1 from a sample.
Similarly, u i is t
ECON 570
Fall, 2010
Solution to
HW - 2
Instructor:
Saraswata Chaudhuri
Problem 1. [Points = 4] Suppose that a researcher, using data on class size CS average
test scores from 100 third-grade classes,
Guideline to Homework Assignments and Answering Statistical/Econometrics questions
in general.
As I mentioned earlier, how you present your answers and the language/phrasing you
use is very important.
Notes/comments on the answers to problem set 2
1. It is always to better to write out the test statistics and your calculation; this way you can
avoid simple mistakes. Do not just write down the final
Guideline to Homework Assignments and Answering Statistical/Econometrics questions
in general.
As I mentioned earlier, how you present your answers and the language/phrasing you
use is very important.
Exercise 4
name: <unn am ed>
log: C:\U se rs\ Fl ora \D ocume nts\ EC O32 1_ Hun te r\ECO 321 Xf er\ Ec on St atsII \Pr
> oblem Sets\Wool dr idg e Dat as ets ( Full D own lo ad) \P S2_ex ercise 4.s mc
ECO 321: Problem Set 2 - Due 10/18/2013
Instructor: Flora Leventis - Hunter College Fall 2013
October 12, 2013
Guidelines: For this particular assignment you will work on your own and
not into groups.
The Simple Regression Model
y = 0 + 1x + u
Some Terminology
In the simple linear regression model,
where y = 0 + 1x + u, we typically refer to
y as the
Dependent Variable, or
Left-Hand Side Variable,
c Material based in part on Hiroshi Morita, 2010
ECO 321 - Introduction to Econometrics
Simple Linear Regression Model - Ch.4
Flora Leventis
Hunter College - Fall 2013
September 17, 2013
Flora Leventi
Chapter 6: Linear Regression with Multiple Regressors
Multiple Choice for the Web
1)
In the multiple regression model, the adjusted R2, R 2
a.
b.
c.
d.
2)
cannot be negative.
will never be greater tha