This course is an introduction to multiple regression methods for analyzing data in economics and related fields. Students learn how to conduct empirical studies, as well as how to analyze and interpret results from other empirical works. The emphasis is on gaining an intuitive understanding of the principles of econometric analysis and applying them to actual data. We start with the basics of statistics, including some probability theory and basic concepts in sampling, estimation, and hypothesis testing. Topics such as multiple regression techniques as well as issues related to departures from the standard assumptions on the error structure comprise the main subjects to be discussed. Aside from model specification and data problems, the use of additional methods such as instrumental variables, probit/logit, panel data models, and basic time series methods are also part of the course agenda.