ECO 400 - Econometrics

3 Credit(s) DIII Q

This is an Econometrics seminar on single variable regression, multiple regression, functional form analysis and alternative specifications to assess whether findings are robust. Emphasis will be placed on empirical real world examples to foster the understanding of how regression analysis can provide credible estimates of causal effects. Additional topics include: omitted variable bias, sampling variability, econometric inference (estimation, testing, confidence intervals), specification errors, residual diagnostics and time series analysis. Empirical analysis is done using SPSS or a similar statistical package. Major requirement for BS degree in Economics. Three lecture hours per week. Prerequisites: ECO 301, ECO 302 and ECO 304N or permission of Department Chairperson.