Econometrics PHD401

Upon completion of this course, students will:

Knowledge:

• Have solid knowledge of key microeconometric methods
• Have solid knowledge about the formal basis for the methods
• Have solid knowledge of central issues related to practical use of the methods
• Have the necessary knowledge to understand, design, conduct and interpret empirical analyses of real world data  

Skills:

• Be able to understand causal modeling
• Understand underlying assumptions, strengths, and weaknesses of different empirical  approaches
• Understand key issues in design and implementation of empirical analyses
• Be able to design empirical analyses and analyze data

General competence​:

• Be conversant in the world of empirical microeconomics
• Be able to produce empirical economic research
• Be able to consume empirical economic research
• Be able to develop scientifically valid analyses
• Have proficiency in software designed for data analysis and estimation

The course will cover the following specific aspects:

• Defining parameters and arguing their (policy) relevance
• Randomized controlled trials
• Controlling for observables
• Instrumental variables 1: Local average treatment effects (and its extensions)
• Instrumental variables 2: Weak instruments
• Approaches to analyze repeated cross-sections and panel data: Difference in Differences, Event studies, Synthethic control