• We wrap up the Causal Inference Bootcamp by looking at how the different techniques we've talked about can work together, and what choices you might have to make as you start your analysis of data.

  • This module covers the basic ideas and issues in determining causation.

  • This module includes videos on what a regression is, what it will look like in a paper, and the benefits and pitfalls of using and interpreting regressions for causal inference.

  • Josh Angrist’s study of the impact of military service on lifetime outcomes is an influential paper in the social sciences. These videos explain why he chose to examine this topic, the methods he used, and the outcomes he found.

  • This module outlines some of the vocabulary used to discuss cause and effect in science.

  • This module covers examples of regression in social science research, from seeing how people have studied the effect of giving property to the homeless in Argentina, to seeing how serving in the military can affect your ability to earn more money in post-military jobs.

  • What are the biggest pitfalls to avoid when trying to figure out cause and effect? There are some common issues that can add confusion to any conclusions, particularly in social science research.