2013 Spring Econ 3210 Prelim 1 solution
1
Question 1
Suppose you are a health economist, studying the effect of drinking on workers health and
income. Using data on a sizable number of individuals, say five thousands, you find that those
who drink three g
5. Problem #11, BHM Chapter 11
A scientific expedition to Death Valley is being organized. In addition to the scientific
equipment, the expedition also has to carry a stock of spare parts, which are likely to fail under
the extreme heat conditions prevail
Problem Set 1
Economics 3120
Spring 2017
J. Berry
L. Cui
D. Ludwinski
Due Tuesday, February 14, in class
For problem 5, attach associated Stata .do and .log files. You will be docked a substantial amount of points
if you do not include these printouts.
1.
Problem Set 4
Economics 3120
Spring 2017
J. Berry
L. Cui
D. Ludwinski
Due Tuesday, April 18, in class
Attach printouts of your Stata do file and log file for computer exercises.
1. [from old exam] Family background affects many economic decisions, includi
Problem Set 2
Economics 3120
Spring 2017
J. Berry
L. Cui
D. Ludwinski
Due Friday, March 3, in Section
For problems 2 and 5, attach associated Stata .do and .log files.
1. (Wooldridge C.2) Let Y1 ,Y2 , .,Yn be n i.i.d. random variables with common mean and
Problem Set 3
Economics 3120
Spring 2017
J. Berry
L. Cui
D. Ludwinski
Due Friday, March 24, in section
Attach printouts of your Stata do file and log file for computer exercises.
1. The RAND Health Insurance Experiment (HIE). See Mastering Metrics, Chapte
ECON 3120: APPLIED ECONOMETRICS
SPRING 2016
Department of Economics, Cornell University
TR 1:25-2:40 p.m. Malott Hall 228 (Bache Auditorium)
(Note: There will be no class on February 18.)
Instructor:
Office:
E-mail:
Office Hours:
Prof. Claire (Seon Hye) L
Problem Set 2
Economics 3120
Spring 2016
Claire S.H. Lim
Due Friday, March 4, in sections.
Attach printouts of your Stata do file and log file for computer exercises.
1. Using data from 1988 for houses sold in Andover, Massachusetts, from Kiel and McClain
Review of Mean Estimation
Consider
Suppose we have
2 / 10
n
Yi i.i.d.N (, 2 )
i=1
Yi . What can we estimate?
Claire S.H. Lim
Econ 3120: Applied Econometrics
Review of Mean Estimation
n
Y
=
1
Yi
n i=1
E(Y )
=
E(
=
1
E(Yi )
n i=1
n
1
Yi )
n i=1
n
=
3 / 10
C
Section 5 Solution
Xingtong and Yu
March 2016
1
Q1
Notice here that the number of obs is 13 which is very small. So for P value and
95% CI you need to use to t table instead of z table. In the exam, this situation
will not show up.
If we stick to z table
Cheat Sheet for the Exam:
Econometric Methods
1
A-, B- and C-Assumptions
Assumption A1: (The true model) The econometric model does not lack any
relevant exogenous variables and the exogenous variables used are not
irrelevant.
Assumption A2 (Linear in par
Section 5
TA: Xingtong Zhang & Yu She
Mar 4, 2016
Exercise 1. Below is the summary of variable x and the result of regressing y on x in STATA.
Figure 1: sum x
Figure 2: reg y x
(1) Please fill out the blanks in the table above.
\y) and y.
(2) Calculate co
Econ 3120 Applied Econometrics
Lecture 5 Introduction to Regression
Outcomes
Application of OLS
2 / 22
Outcomes
Goodness of Fit
Unbiasedness of OLS
Claire S.H. Lim
Application of OLS
Goodness of Fit
Variance of OLS
Econ 3120: Applied Econometrics
Unbiased
Section 3
TA: Xingtong Zhang & Yu She
Feb 19, 2016
Exercise 1. Find and interpret the coefficient of the determination for the regression of the
percentage change in the Dow Jones index in a year based on the percentage change in the
index over the first
F ORMULA S HEET FOR E XAM 3
Econ 3120 - Applied Econometrics
Spring 2017
Cornell University
J. Berry
L. Cui
D. Ludwinski
S IMPLE R EGRESSION
Assumptions
SLR.1: Linear model: y = 0 + 1 x + u
SLR.2: The sample cfw_(xi , yi ) : i = 1, ., n is a random sample
Lecture Note 5
Two-variable Linear Regression Model
(Wooldridge Chapters 2.1-2.5)
Economics 3120
Spring 2017
J. Berry
L. Cui
D. Ludwinski
1
Motivation
The basic idea of regression is to estimate a functional relationship between two (or more) random
varia
Donors of Interest
Other
General Population
HFHI Audience
56%
44%
70%
30%
Chart Title
Affiliate Audience
HFHI Audience
General Population
0%
10%
20%
30%
40%
Donors of Interest
50%
60%
Other
70%
80%
90%
100%
%
Affiliate Audience
72%
28%
80%
90%
100%
HFHI
P
Education 3/5/17 Start: 8:15 End: 8:47
No James
410 Dryden Pledge Party Date TBD
Date night Saturday
Alcohol dues
RIP Pledge project, need new ideas
Saturday 10-2 Finger Lakes Reuse, Working clothes
Risk:
Wear letters responsibly
Watch out for people at p
Donors of Interest
Other
General Population
HFHI Audience
56%
44%
70%
30%
Chart Title
Affiliate Audience
HFHI Audience
General Population
0%
10%
20%
30%
40%
Donors of Interest
50%
60%
Other
70%
80%
90%
100%
%
Affiliate Audience
72%
28%
80%
90%
100%
HFHI
P
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Lecture Note 4
Introduction to Policy Evaluation
(Angrist and Pischke, Chapter 1)
Economics 3120
Spring 2017
J. Berry
L. Cui
D. Ludwinski
1
Introduction
Econometrics is a useful tool to help us understand the effects of policies on outcomes of interest.
E
Exam 3 Practice Problems
Econ 3120 - Applied Econometrics
Cornell University
Spring 2017
J. Berry
L. Cui
D. Ludwinski
1. In three or fewer sentences, describe each of the following concepts. Do not simply translate
formulas.
(a) Gauss-Markov Theorem
(b) C
Section 4
Economics 3120
Spring 2017
J. Berry
L.Cui
D. Ludwinski
1. Suppose cfw_X1 , ., Xn is an i.i.d random sample of size n drawn from
a distribution with mean and variance 2 . Define the following two
estimators for :
b1 = X
n
b2 =
1 X
Xi
n 1 i=2
(a)
Section 2
Economics 3120
Spring 2017
J. Berry
L. Cui
D. Ludwinski
1. Some useful Stata commands:
(a) Instructions on how to connect to CISER node, download datasets,
and print out log- and do-file are updated on the first handout. Please
check the blackbo
Section 5
Economics 3120
Spring 2017
J. Berry
D. Ludwinski
L. Cui
1. Review: Sample variance and sampling variance of estimators
1
(a) Sample Variance: an unbiased estimator of the population variance. s2 = n1
(b) Sampling Varince: the variance of estimat
Problem Set 5
Economics 3120
Spring 2017
J. Berry
D. Ludwinski
L. Cui
Due Tuesday, May 2, in class
Attach printouts of your Stata do file and log file for computer exercises.
1. (Based on Wooldridge C.1) The following model can be used to study whether ca
Section 5
Economics 3120
Spring 2017
J. Berry
D. Ludwinski
L. Cui
1. Review: Sample variance and sampling variance of estimators
1
(a) Sample Variance: an unbiased estimator of the population variance. s2 = n1
(b) Sampling Varince: the variance of estimat
F ORMULA S HEET FOR E XAM 1
Econ 3120 - Applied Econometrics
Cornell University
Spring 2017
J. Berry
L. Cui
D. Ludwinki
R ANDOM VARIABLES
Let X be a discrete random variable with probability mass function P(X = x) = f (x). Then
x f (x),
E(X) =
x
E[g(X)]
Problem Set 6
Economics 3120
Spring 2017
J. Berry
L. Cui
D. Ludwinski
Due Wednesday, May 10 at 5pm in the box outside of Dans office, Uris 449A.
Attach printouts of your Stata do and log files for computer problems.
1. (From old exam) One school choice pr