Singapore University of Social Sciences

ECO206 Data Analysis for Economics and Business covers intermediate data analytical tools relevant for empirical analyses applied to economics and business. The main workhorse in this course is the multiple linear regression, where students will learn to estimate empirical relationships between multiple variables of interest, interpret the model and evaluate the fit of the model to the data. Where the underlying assumptions of linear regression are not met, issues such as specification error, multicollinearity, measurement errors, heteroscedasticity are then examined and solutions such as standard error adjustments and instrumental variable regressions will be explored. Beyond cross-sectional data, students will also learn how to construct models with limited dependent variables (as opposed to continuous dependent variables) and design regression frameworks for panel data. Lastly, the course will explore the fundamentals of modelling with time series data and business forecasting.