Registration CLOSED: LECTURES ARE FULL
This mini-course introduces machine learning tools to empirically knowledgeable economists and other social scientists. It aims to answer frequent questions we have about this material, such as:
1) What value do these tools have without causal inference?
2) How are they different from non-parametric methods? and
3) Are they useful in social science applications?
We will cover both the conceptual underpinnings of machine learning and the mechanics of applying it. A key goal is to lay out a framework that integrates these new tools into existing econometric knowledge.
Put simply, this is my attempt to build the class I wish I had when I was first learning machine learning.
This workshop is being co-hosted by the Center for Labor Economics, D-Lab, and the Institute for Research on Labor and Employment.
Location: IRLE Conference Room, 2521 Channing Way
Registration CLOSED
