Biyan Tang

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

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

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.