Using Big Data to Solve Economic and Social Problems
This course provides a simple introduction to problems that social scientists are working on (e.g. racial disparities, inequality and climate change) in a manner that does not require any prior background in Economics or Statistics.
Instead of starting out with abstract methods (such as supply and demand in canonical Economics courses), this course goes directly into the problems to analyse them. The course teaches methods such as experimental analysis using relevant example problems. These have become relevant and feasible due to the more recent availability of Big Data.
There is additional material available on the course website.
- The Geography of Upward Mobility in America
- Causal Effects of Neighborhoods
- Moving to Opportunity vs. Place-Based Approaches
- The American Dream in Historical Perspective
- Upward Mobility, Innovation, and Economic Growth
- Higher Education and Upward Mobility
- The Causal Effect of Colleges
- Primary Education
- Teachers and Charter Schools
- Racial Disparities in Economic Opportunity
- Improving Health Outcomes
- The Economics of Health Care and Insurance
- Improving Judicial Decisions
- Effects of Air and Water Pollution
- Policies to Mitigate Climate Change
- Income Taxation
- Behavioural Public Economics
- Institutions and Economic Development
|Aufwand pro Woche:||1,5 h|
|Schlagwörter||Big Data , econometrics , environment , machine learning , social science|