• Understands the limitations of OLS in many situations (simultaneity bias, endogeneity bias)
• Selects appropriate methods to analyze micro-level data
• Makes data-based decisions using microeconometric methods to address economic questions.
• Develop a comprehensive understanding of core microeconometric models and their application.
• Equip students with the analytical skills necessary to handle and interpret micro-level data.
• Foster critical thinking for assessing and implementing economic policies based on empirical dat

Course Goals

This course provides an in-depth exploration of microeconometric techniques for analyzing individual-level data in economics. It is designed to equip students with empirical tools to analyze and interpret data that supports decision-making across various sectors, including labor economics, health economics, and industrial organization. Emphasis will be placed on panel data analysis, instrumental variables, discrete choice models, and treatment effect estimation, with practical applications in a data-driven business and economic environment.

• Conduct data analysis specific to microeconomic applications.
• Communicate technical findings to both academic and non-technical audiences.
• Apply empirical strategies to evaluate economic policies and strategies in various fields.