Neal Olitsky, PhD

Survey of introductory macroeconomics with focus on economic growth, unemployment, and inflation. Topics covered include national income accounting, inflation, unemployment, fiscal policy, money, the banking system, and monetary policy. Balance of payments and currency exchange rate issues are analyzed. Cross-listed as PST 232

Survey of introductory macroeconomics with focus on economic growth, unemployment, and inflation. Topics covered include national income accounting, inflation, unemployment, fiscal policy, money, the banking system, and monetary policy. Balance of payments and currency exchange rate issues are analyzed. Cross-listed as PST 232

A one-semester course in contemporary intermediate macro theory. Covers issues in economic growth, unemployment, and inflation. Develops and contrasts the New Classical (equilibrium) and Neo-Keynesian (disequilibrium) models in the aggregate demand/aggregate supply framework for both closed and open economies. Policy implications of each model are discussed. Introduces students to sources of macroeconomic data.

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.

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 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.

The labor force. Wages in competitive and non-competitive markets. Wage structures. Inequalities and discrimination. Impacts of unions and social standards. Indexation, inflation and unemployment. Cross-listed as LST 342.