Edward Wan (A45754380)
Homework 6. Due at 9:00 PM EDT, Tuesday, August 18.
Each question is worth 3 points, for a total value of 45 points
1. Suppose you are interested in using time series data to estimate the
following population model:
yt = 0 + 1xt + 2
EC 420, Spring 2016
Problem Set 1
Due Thursday, January 28th in class
NOTE: For questions using Stata, please type your answers into a word processing document
(using MS Word or something similar). Insert the relevant part of your Stata log file into your
Edward wan (A45754380)
Homework 1: Due by 9:00 PM EDT, Tuesday, July 14th
(This assignment is worth 45 points total. Each part (for example, 1 b. or 3 a.) is worth 3 points)
1. You work for a company that has developed a computer-based individual tutoring
Siyu Chen
EC 420 Problem Set 2
Professor: Woodbury
1.
. gen lwage=log(wage)
. tab black, sum(lwage)
Summary of lwage
Mean
Std. Dev.
=1 if black
Freq.
0
1
6.8164865
6.5244342
.41214464
.39392362
815
120
Total
6.7790038
.4211439
935
. sum lwage if black =1,
Edward Wan (A45754380)
Homework 2: Due 9:00 PM EDT, Tuesday, July 21th
This assignment is worth 45 points total. Each part of each question is worth 3 points.
1. True, False, Explain (Say whether each statement answer is true or false, then explain why.
Y
EC 420, Spring 2016
Problem Set 4
Due Thursday, March 24th in class
NOTE: For questions using Stata, please type your answers into a word processing document
(using MS Word or something similar). Insert the relevant part of your Stata log file into your
d
NAME:
Economics 420 (section 2)
Professor Woodbury
Fall Semester 2015
Quiz #5
Instructions: Write your name legibly in the
space provided above. Be sure to code your PID
correctly on the scantron. Turn in this quiz with your
scantron any scantron that can
Economics 480 - Analysis of Labor Markets Review Questions for the Final Exam Professor Woodbury Fall 2011 Labor Supply 1. a. Bertram is a saltmine worker who earns a wage of $10 an hour. He can work for as many or as few hours as he likes at $10 an hour,
EC420 (Fall 2011)
Homework 7.
Due November 30, 2011
1. [40 pts] The 2004 Economic Report of the President has data on interest rates and annual inflation rates for the years 1948-2003. The variable i3t is the three-month T-bill rate for year t, inft is th
NAME:
Economics 420
Professor Woodbury
Fall Semester 2015
Quiz #11
Instructions: Write your name legibly in the
space provided above. Be sure to code your PID
correctly on the scantron. Turn in this quiz with your
scantron any scantron that cannot be matc
NAME:
Economics 420 (section 2)
Professor Woodbury
Fall Semester 2015
Quiz #4
Instructions: Write your name legibly in the
space provided above. Be sure to code your PID
correctly on the scantron. Turn in this quiz with your
scantron any scantron that can
NAME:
Economics 420
Professor Woodbury
Fall Semester 2015
Quiz #10
Instructions: Write your name legibly in the
space provided above. Be sure to code your PID
correctly on the scantron. Turn in this quiz with your
scantron any scantron that cannot be matc
Nellie Tait
A46020208
1/25/16
Problem Set 1
Due Thursday, January 28th in class
1. For the NLSY sample (individuals aged 14-22 in 1979), calculate the mean years of education,
overall and for males and females separately. Also calculate the percent of the
Determine whether the following five statements are true, false or uncertain.
1. In a multiple regression application, a large sample size does not ensure that the R-squared
will be close to one.
True. The r-squared is a measure of the strength of the rel
EC 420 (Fall 2011)
Homework 6.
Due November 16, 2011
1. [40 pts] Provide a short answer to each of the following questions. If you don't explain your answers, you will get NO credit: (a) Suppose that I want to explain the score on a standardized test, sco
Economics 420 (sections 2 and 3)
Professor Woodbury
Fall Semester 2015
Problem Set #3 with Solutions
Directions: Following each question, please handwrite or type your answers and copy/paste the
Stata output (use the copy as picture option). Staple all pa
EC 420, Spring 2016
Problem Set 2
Due Thursday, February 11th in class
NOTE: For questions using Stata, please type your answers into a word processing document
(using MS Word or something similar). Insert the relevant part of your Stata log file into you
EC 420, Spring 2016
Problem Set 2
Due Thursday, February 11th in class
NOTE: For questions using Stata, please type your answers into a word processing document
(using MS Word or something similar). Insert the relevant part of your Stata log file into you
Nellie Tait
2/10/16
EC 420, Spring 2016
Problem Set 2
Due Thursday, February 11th in class
NOTE: For questions using Stata, please type your answers into a word processing document
(using MS Word or something similar). Insert the relevant part of your Sta
EC 420, Spring 2016
Problem Set 6
Due Thursday, April 21rd in class
NOTE: For questions using Stata, please type your answers into a word processing document
(using MS Word or something similar). Insert the relevant part of your Stata log file into your
d
THE SIMPLE REGRESSION MODEL: STATISTICAL
PROPERTIES OF OLS
EC 420: Introductory Econometrics
Michigan State University
Second Summer Session, 2010
1. Expected Value of the OLS Estimators
2. Variance of the OLS Estimators
3. Summary and Tasks Left Undone
1
THE SIMPLE REGRESSION MODEL: DEFINITION AND
ESTIMATION
EC 420: Introductory Econometrics
Michigan State University
Second Summer Session, 2010
1. Definition of the Simple Regression Model
2. Deriving the Ordinary Least Squares Estimates
3. Properties of O
Economics 420 (sections 2 and 3)
Professor Woodbury
Fall Semester 2015
Problem Set #1 (Due: Tuesday, September 22)
Directions: Start each question on a new sheet of paper and staple all pages together. Use a
work processor for Parts I and II. For Part III
Economics 420 (sections 2 and 3)
Professor Woodbury
Fall Semester 2015
Problem Set #2 (Due: Tuesday, October 6)
Directions: Start each question on a new sheet of paper and staple all pages together. Use a
work processor for Parts I and II. For Part III, e
Economics 420
Introduction to Econometrics
Professor Woodbury
Fall Semester 2015
Linear Regression with Multiple Independent
Variables
0. Summary and assessment of simple regression
1. Omitted variable bias
2. The multiple regression model
3. OLS estimati
Economics 420
Introduction to Econometrics
Professor Woodbury
Fall Semester 2015
Multiple Regression (continued)
3. OLS estimation of the multiple regression model
4. Measures of t in multiple regression
5. Assumptions in multiple regression
6. Distributi
Economics 420
Professor Woodbury
Fall Semester 2015
Advice on the Final Exam
1. The nal exam will have a format similar to the midterm, but will be somewhat longer because you
will have 120 minute rather than only 80 minutes. It will be comprehensive (inc
NAME:
PID:
Economics 420 (section 2)
Professor Woodbury
Fall Semester 2015
Midterm Exam
Instructions:
1. Write your name and PID number legibly in the spaces provided above.
2. Check and double-check the coding of your PID number on your scantron. If you
EC 420, Spring 2017
Problem Set 5
Due Thursday, April 6th in class
NOTE: For questions using Stata, please type your answers into a word processing document
(using MS Word or something similar). Insert the relevant part of your Stata log file into your
do
EC 420, Spring 2017
Problem Set 4
Due Thursday, March 23rd in class
NOTE: For questions using Stata, please type your answers into a word processing document
(using MS Word or something similar). Insert the relevant part of your Stata log file into your
d
I
Introduction: Why Memory?
1.1 Why memory?
Why indeed m emory some peeple might ask themselves, wondering
about the popularity of the term in current discourse. Why and how
would one do research on memory in culture, as a literary scholar,
historian. or
Wandering Souls and Returning Ghosts: Writing the History of the Dispossessed
Author(s): FRANOISE VERGS
Source: Yale French Studies, No. 118/119, Noeuds de mmoire: Multidirectional Memory in
Postwar French and Francophone Culture (2010), pp. 136-154
Publi
Motivation and Introduction Residents Housing Sector Equilibrium Comparative Statics Some Empirical Evidence Concluding T
Introduction to Urban Economics;
The Monocentric City Model
Nathan Schiff
Shanghai University of Finance and Economics
Graduate Urban