14.32 Econometrics, Spring 2003
Name
14-32Spring-2003/OcwWeb/Economics/14-32EconometricsSpring2003/CourseHome/index.htm
Size
12.8 KB
Format
HTML
Checksum (MD5)
9762b1067df8cb3be1a6adbf8f555229
Author(s)
Angrist, Joshua David
Alternative Title
Econometrics
Date Issued
June 2003
Abstract
Introduction to econometric models and techniques, emphasizing regression. Advanced topics include instrumental variables, panel data methods, measurement error, and limited dependent variable models. Includes problem sets. May not count toward HASS requirement. From the course home page: Course Description This course covers the statistical tools needed to understand empirical economic research and to plan and execute independent research projects. Topics include statistical inference, regression, generalized least squares, instrumental variables, simultaneous equations models, and the evaluation of government policies and programs.
Subjects
probability
distribution
sampling
confidence intervals
bivariate regression
residuals
fitted values
multivariate regression
heteroscedasticity
linear probability models
serial correlation
measurement error
goodness of fit
MIT Department
Massachusetts Institute of Technology. Department of Economics
Terms of Use
Persistent DSpace Link
