Emphasis is on the matrix formulation and computer estimation methods for single and multiple equation classical regression models using economic and business data. Attention is given to the assumptions required for testing a single coefficient, sets of coefficients, and the complete regression model. Special topics include heteroscedasticity, multicollinearity, errors in variables, autocorrelation, and system identification. Discussion of contemporary economic problems. Tutorial sections limited to twenty students each.
Course involves planning of research project during year preceding summer abroad.
Time spent in research abroad must amount to at least one week for each credit hour granted. Research must be presented by end of semester following foreign study. Research and preparation of senior honors project. Maximum of 6 credit hours count toward degree. Evaluation by employer and faculty sponsor.