Applied Regression Analysis 1

Course Description: 

The course will run in weeks 1-6, with double classes each week. Interested students may also take ARA 2, running in weeks 7-12, also with double classes per week. 

Elective Course

This class provides an intuitive and practical introduction to applied econometrics – the practice of analyzing quantitative data with statistical methods. The primary objective is to equip students with the quantitative techniques that are essential to “evidence-based policy-making” and necessary for post-graduate academic research in the quantitative social sciences (economics, peace science, political science, sociology,
etc).

The first part of the course covers the fundamentals of regression analysis. We begin with a brief review of the necessary ingredients from probability and statistics. From day one, students will learn the basic functionality of the statistical software package STATA, starting with the generation of descriptive statistics and graphics. Coverage of the linear regression model and regression diagnostics constitutes the core of the
course. Time permitting, non-linear regression models and other more advanced regression techniques will also be introduced.

Learning Outcomes: 
  1. Interpret the output produced by the software Stata when performing regression analysis of a data set.
  2. Assess the validity of an econometric study/report.
  3. Discuss econometric output within the context of analytical policy making/evaluation.
Assessment: 

Homework and homework presentation 60 %

Final exercise 40 %

Prerequisites: 

Research Design and Methods for Public Policy I