Motivation

• Since my undergraduate econometrics course, I've been interested in causality - how do the potential outcomes relate to linear models?

• In graduate school, I read Richard Sutton's 'The Bitter Lesson', and became interested in methods that scale/improve with greater compute

• From reading Evicted my first year of graduate school, joining Winnie Van Dijik's Homelessness Reading group, and volunteering at Project Weber Renew, I developed an interest in the Economics of Housing & Homelessness (which has a lot of interesting Causal Inference questions)

Overview

Overview

The vast majority of applied microeconometric work involves averaging local predictions. In the following chapters, we extend this approach to (a) text data and (b) stratified clustered randomized control trials. We apply these methods to better understand the impact of providing  free legal representation to tenants who are facing eviction.  

OUtline of the Talk

Python Libraries

trics

rfp