New Ways of Establishing Causality in Observational Data

Date: 9 August 2017

Presenter: Dr Harald van Heerde

Time: 12pm - 1pm

Venue: QB8


While causality is a hallmark of experimental research, it is much harder to establish causal effects in observational data such as company data, organizational data and surveys. The problem is that the treatment (X variable) is not random, such that its effect on the outcome (Y variable) is often biased. This is one of the thorniest issues in getting empirical research published nowadays. In this talk, Harald van Heerde will discuss new(ish) ways of establishing causal effects in observational data, including instrumental variables, difference-in-difference approaches and Gaussian Copulas.

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