PRACTICE EXAM 1
MULTIPLE CHOICE (10 QUESTIONS, 30 points)
1) The expected value of a discrete random variable
A) is the outcome that is most likely to occur.
B) can be found by determining the 50% val
Practice long answer questions for 120B final. (Caveats: not meant to be exhaustive study
direction of OVB, for example, and note that final is comprehensive covering chapters 2-8, 11, 12.)
1) You hav
Econ 120B
Chapters 4 and 5 Extra Practice Problems
1.
Sir Francis Galton, a cousin of James Darwin, examined the relationship between the height of children and
their parents towards the end of the 19
Problem Set 0
Econ 120B
Spring 2017
1. The random variable X has a mean = 10 and a standard deviation = 2
a) Find the distribution of X when n = 36
b) Find the distribution of Z =
X
/ n
c) Write the p
Economics 120B
Econometrics
Professor Dahl
UC San Diego
Brief Overview of the Course
Economics suggests important relationships, often with policy
implications, but virtually never suggests quantitati
Lecture Notes #2
Economics 120B
Econometrics
Prof. Dahl
UC San Diego
Linear Regression with One Regressor
(SW Chapter 4)
Linear regression allows us to estimate, and make
inferences about, population
Lecture Notes #5
(Chapter 7)
Economics 120B
Econometrics
Prof. Dahl
UC San Diego
Outline
1.
2.
3.
4.
Hypothesis tests and confidence intervals for a single coefficie
Joint hypothesis tests on multiple
University of California, San Diego
Department of Economics
Economics 120C Econometrics
Winter 2017
MWF 9:00 9:50 am, Center Hall 214
Instructor
Maria Teresa Cndido
Office: 110A Economics
Office Phone
Economics 100B: Microeconomics, Part B
Winter 2017, Professor Simone Galperti
This is the second of three courses in the core microeconomics sequence. It builds on the material presented
in Economics
Econ 120B
Dr. Maria Cndido
Fall 2012
Homework 1
Econometrics 120B
Due Wednesday, October 31st, at 5:00 pm
For this homework, you have to turn in a small ANSWER SHEET and a LOG file.
(1) Write your ans
Summary of Previous Lectures
Causality and regression analysis
Omitted variable bias (OVB)
Omitted variable bias formula
Three examples to show the direction of bias:
(1) Midterm, WebCT sessions and h
Problem Set 1
Econ 120B
Spring 2017
1. Use data file demo.xlsx to answer the following questions.
a) Find the mean and standard deviation of gd p.
b) Plot the scatter diagram for (gd p, m1)
c) Find th
Econ 120B
Problem Set 2
Spring 2017
1. Hourly earnings in 2002, EARNINGS, measured in dollars, being regressed on schooling, S, measured
as highest grade completed, for 540 respondents from the United
Ec 120B ECONOMETRICS B
Foster, UCSD, Fall 2017
Due: Wednesday, 29 NOV 2017, in class
Homework #2 OLS REGRESSION
Suppose we have the following regression model: REC = 1 + 2 DISP + u,
where:
REC = fami
Ec 120B ECONOMETRICS B
Foster, UCSD, Fall 2017
Due: Friday, 20 OCT 2017, in class
Homework #1 EXCEL Formulas
For this assignment, open an EXCEL spreadsheet and use formulas to answers the questions on
MANAGEMENT SCIENCE MAJOR (EN 26)
FRESHMEN entering FA07 and later & TRANSFER students entering FA09 and later
Note: all major requirements must be taken for a letter grade and passed with a C- or bett
JOINT MATHEMATICS & ECONOMICS MAJOR (EN 28)
FRESHMEN & TRANSFER students entering FA12 and later
Note: all major requirements must be taken for a letter grade and passed with a C- or better.
LOWER DIV
ECON 173A:
Financial Markets1
Ivana Komunjer
2016
1
c 2016 by Ivana Komunjer. For use only by ECON 173A students at UCSD in 2016.
These notes are not to be distributed elsewhere.
ii
Copyright
All mate
Question 1. (45 points) Laura gets utility from two goods, X and Y. X is a NORMAL good but Y is
INFERIOR. Using budge lines and indifference curves, ILLUSTRATE and EXPLAIN the income and
substitution
Problem Set 3
Econ 120B
Spring 2017
1. Suppose that a researcher, using data on class size(CS) and average test scores from 100 third-grade
classes, estimates the OLS regression
\ = 520.4 + 5.82 CS
lo
Quiz 4
Econ 120B: Troy Kravitz
July 25, 2011
1) What is the interpretation of 1 in the following regression: Yi = 0 + 1 ln Xi
a) A one-unit change in X is predicted to cause a 1 unit change in Y , hol
Quiz on Chapter 6
1) Multiple regression (in chapter 6) differs from simple linear regression in that:
A) we include multiple regressands
B) we include multiple explanatory variables
C) the regression
QUIZ ON CHAPTER 5
1) The t-statistic is calculated by dividing
A) the OLS estimator by its standard error.
B) the slope by the standard deviation of the explanatory variable.
C) the estimator minus it
Summary of Lecture 11
Multiple regression model
Interpretation of coefficients in multiple
regression
Derivation of the OLS estimators
Omitted variable bias (again!)
Measure of fit
1
Lecture 12
Review of Key Concepts
The relationship between correlation and covariance:
XY
cov X , Y
XY
XY
var X var Y
Independence:
Eui | X i E ui
E ui | X i 0 covui , X i 0
If u and X have non-zero covar
Lecture 9
Causality and regression analysis
Omitted variable bias (OVB)
Multiple regression model
Interpretation of coefficients in multiple
regression
1
Causality and regression analysis
What is, pre
Summary of Lecture 7
Recap of all important materials.
Sampling distribution of the OLS estimators.
Hypothesis testing and confidence intervals
1
Lecture 8
Hypothesis testing and confidence interv