Course Information
Instructor:
James Murray, Ph.D.
Office: 403T Wimberly Hall
Phone: 6084064068
Email: jmurray@uwlax.edu
Office Hours
Office Hours Appointments generally available at the following times:
8:30 AM  2:00 PM Monday
2:15 PM  4:15 PM Tuesday / Thursday
8:30 AM  11:30 AM, 1:00 PM  3:00 PM Wednesday
8:30 AM  11:30 AM Friday
Click here to make an office hours appointment
Syllabus (PDF)
Login to D2L
R Resources
Project
Poster Presentations
Final written project Method / Results due on Tuesday, December 15, 11:59 PM
Final written project Introduction due on Monday, December 7, 11:59 PM
Annotated Bibliography due on Tuesday, November 17 at 12:40 PM
Research Proposal due on Tuesday, November 10 at 12:40 PM
Practice Exams
Practice Exam 1
Practice Exam 2
Unit 6: Panel Regression Models
Inclass Exercise on Panel Regression, Dataset: smoke.RData
Unit 5: Linear Probability Model
Homework assignment, Dataset: smoke.RData Due on Wednesday, November 18 at 11:59 PM
Unit 4: Heteroskedasticity
R tutorial: Testing and Correcting for Heteroskedasticity
Inclass Exericse, jtrain3.RData
Unit 3: Multiple Regression
R tutorials:
 Introduction to Multiple Regression, Wooldridge, Ch 3: pp 6164, 7881 (focus on intuition, not math)
 Variance Decomposition and Goodness of Fit, Wooldridge, Chap 3: pp 7073, Chap 4: pp 135
 Standardized Regression, Wooldridge, Chap 6: pp 169
 Multicolinearity, Wooldridge, Chap 3: pp 8386
 General Linear Restrictions, Wooldridge, Chap 5: pp 127132
 Interaction Effects, Wooldridge, Chap 6: pp 177180
 Dummy Variables, Wooldridge, Chap 7: pp 205214, 217221
 Hypothesis Testing on Linear Combinations
Inclass Exercise: Using Regression to Estimate Racial Discrimination in Fast Food Prices
Dataset: discrim.csv
Unit 2: Bivariate Ordinary Least Squares Regression
R tutorials:
Unit 1: Statistical Signficance and Univariate / Bivariate Statistics
Class notes: Slides, Printer Friendly Version
Inclass exercise: Univariate and bivariate problems, Dataset: eurointernet.csv
Homework assignment, Dataset: maletimeuse.csv Due on Monday, October 5 at 11:59 PM
R tutorials:
