Neal Olitsky, PhD

Work experience at an elective level supervised for academic credit by a faculty member in an appropriate academic field. Conditions and hours to be arranged ahead of time. Graded CR/NC. For specific procedures and regulations, see section of catalog on Other Learning Experiences. Credit not to be given retroactively.

Introduction to econometrics including development of basic techniques of bivariate and multivariate linear regression analysis; use of lagged variable and dummy variables in model building; problems of multicollinearity, autocorrelation and heteroscedasticity.

Translation of statistical concepts presented in Econometrics (ECO 333) into STATA. Labs teach basic functions in STATA such as data manipulation, variable construction, simple programming, regression, statistical testing and prediction. Labs consist of examples which will be solved step-by-step to foster an effective approach to statistical computing. The topics covered in labs correspond to those covered in ECO 333.

Study under the supervision of a faculty member in an area covered in a regular course not currently being offered. Conditions and hours to be arranged.