This course uses economic tools to understand the role and possible effects of government policy in a market economy. The goal is to provide an understanding of the reasons for government intervention in the economy, as well as the challenges in implementing and evaluating those interventions. The course makes use of economic tools and empirical analyses to investigate specific U.S. expenditure and tax policies such as income transfer programs (e.g., TANF, SNAP), social insurance programs (e.g., Social Security and Medicare), personal income taxes and wealth taxes. Additional topics include the effects of deficit finance and government debt, the interaction between different levels (local vs federal) government and problems in collective decisionmaking (voting models and public choice).

Machine Learning in Economics

Dive into the fusion of economics and AI with our transformative course, "Machine Learning for Economics". This course serves as a bridge between traditional economic theories and the burgeoning world of machine learning, providing participants with an enriched understanding of how these two domains intersect. You'll not only gain a robust foundation in machine learning but also understand its invaluable application in econometric analysis and forecasting. Designed with precision and a focus on real-world relevance, this course empowers you to harness the capabilities of Python, the premier programming language in the analytics sphere, and develop potent predictive models that can revolutionize economic and business decision-making.