• This module of the Causal Inference Bootcamp explains the basic concepts of IV analysis and how social scientists use it to indirectly find causality in their data.

  • This module covers a paper that uses instrumental variables analysis to find causal effects of strong property rights on a country's economic development.

  • This module covers the basics of Instrumental Variables Analysis, including the concepts, uses, and pros and cons of IV analysis.

  • The Local Average Treatment Effect (LATE) can be helpful when noncompliance is an issue. This module will walk you through how to compute the LATE and how to interpret it.

  • This module takes you through several examples of instrumental variables analysis, showing you how researchers deal with its strict requirements in different datasets.

  • This module takes you through the concepts and implementation of the Local Average Treatment Effect (LATE) that's increasingly popular with social science researchers.

  • Instrumental Variables Analysis is a tricky and subtle tool, with high requirements and a lot of potential pitfalls. This module covers the main issues you'll run into when reading or doing an IV analysis.