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.

Contemporary intermediate treatment of microeconomic theory, applications, and price policy. Covers the theory of price determination, resource allocation, income distribution, and welfare economics. Perfectly competitive markets and models of imperfect competition are covered. Theory is integrated with public policy questions.

Translation of statistical concepts presented in ECO 332 into tasks in Microsoft Excel. Labs will consist of problems which will be solved step by step to foster an effective approach to statistical computing. Students will use hypothetical and real-world data when performing lab exercises. Topics covered in the lab will be the same as those covered in ECO 332.

Introduction to data and statistical methods used in economics. Descriptive statistics, probability distributions, sampling, estimation, confidence intervals, hypothesis testing, correlation, and regression including multiple regression are covered. Applications in economics with current economic data are emphasized.

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.