Drawing Causal Inferences from Historical Data: Theory and an Application to South Africa's Political Transition

• In Event: Causal Inference: Theory and Applications

Brief Overview

A paper on drawing causal inferences from historical data in which identification does not stem from assumed random assignment given some covariance adjustment, with an application to South Africa's political transition.

Author

• Thomas Leavitt, Columbia University