Professor Miron Kaufman, Office SI-116, Tel.6872436,


Lectures: TH, 6:00PM-9:30PM, MC-317


Office Hour: TH 3:00PM-4:00PM, SI-116


Required Material: D.N.Gujarati, Basic Econometrics

Recommended Material: W.C.Beck Student Manual


The Quantitative Research Methods I is the first of a two-course sequence designed to provide Ph. D. students in Urban Studies with tools and skills necessary in quantitative research. Both courses focus on linear regression techniques. A good understanding will enable students to apply these techniques, as well as acquire on their own additional multivariate statistical techniques rooted in linear methodology, such as discriminant analysis and factor analysis.


In the first course in the sequence UST700 we study single-equation regression models with two and three variables, including estimation and inference. Part of this course is a project that spans the quantitative sequence. In UST700, a research problem is formulated and data are collected. Each student will identify a research problem, gather the data (more than two variables) on a diskette and write an essay of about 1000 words on this research problem. In UST701, students undertake the data analysis, stressing diagnosis and mitigation of problems related to data deviations from the basic linear regression assumptions.

Possible Data Sources:

Part of UST700 is a computer lab where we will learn to work with the software MathCad which is useful for simulating and visualizing data sets. You should save your work on the diskette. At the end of the project each student will give me the diskette with all the programs and a printout of the results.






Gujarati Intro., Ch.1.


variable regression model Gujarati Ch2; Hw.1 due.



Hw.2 due; Computer Lab. #1.




Project proposal due; Computer Lab. #2; F, 10/31, last day to drop class.


Hw.4 due.


Hw.5 due.


Computer Lab. #3; Hw.6 due.






The final grade is a weighted average of:

Computer Lab. 5%

Homework 10%

Project 20%

Midterm Exam 30%

Final Exam, Comprehensive 35%