Course Information
Instructor:
James Murray, Ph.D.
Office: 403T Wimberly Hall
Phone: 608-406-4068
E-mail: 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
In-class 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
In-class Exericse, jtrain3.RData
Unit 3: Multiple Regression
R tutorials:
- Introduction to Multiple Regression, Wooldridge, Ch 3: pp 61-64, 78-81 (focus on intuition, not math)
- Variance Decomposition and Goodness of Fit, Wooldridge, Chap 3: pp 70-73, Chap 4: pp 135
- Standardized Regression, Wooldridge, Chap 6: pp 169
- Multicolinearity, Wooldridge, Chap 3: pp 83-86
- General Linear Restrictions, Wooldridge, Chap 5: pp 127-132
- Interaction Effects, Wooldridge, Chap 6: pp 177-180
- Dummy Variables, Wooldridge, Chap 7: pp 205-214, 217-221
- Hypothesis Testing on Linear Combinations
In-class 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
In-class exercise: Univariate and bivariate problems, Dataset: eurointernet.csv
Homework assignment, Dataset: maletimeuse.csv Due on Monday, October 5 at 11:59 PM
R tutorials:
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