I’m Connor Dowd. I’m a PhD candidate in econometrics at the University of Chicago Booth School of Business.
- Inference in Sythetic Controls with Spillovers – with Jianfei Cao. Slides–Paper
- Waiting for the Hot Hand – with Sam Hirshman and Nick Polson
I primarily study econometrics, but areas of applied micro interest me as well. My recent areas of focus have included synthetic controls, spillover effects, regression discontinuity, non-parametric inference, and metrics for detecting the ‘hot hand’ in basketball. Several time-series esque areas have crept in recently — looking at cross-validation, random forests, and ensemble building in that context. I’ve done some applied work looking at energy policy in India, as well as more recently work around consumer credit access.
Since starting in Chicago, I’ve been fortunate enough to work with a number of wonderful people and initiatives. I worked with the Social Enterprise Initiative (now the Rustandy Center) to start a data collection project looking at social and responsible investment funds. I also worked for EPIC as a research fellow in Delhi. I have been a teaching assistant for Professors Kevin Murphy, Neale Mahoney, Eric Zwick, Seth Zimmerman, and Panos Toulis. I’ve also done research with Professors Chris Hansen, Max Farrell, and Nick Polson. Other PhD students I’ve been fortunate to collaborate with include Sam Hirshman, Jianfei Cao, Vera Chau, and others.
Prior to starting my PhD, I did some research for the Social Security Advisory Board (an independent commission which works to improve the SSA) looking at revisions to the Windfall Elimination Provision (WEP) and the Government Pension Offset (GPO). I attended the University of St Andrews for a degree in economics and statistics (my dissertation involved doing simulations around particle filtering applications to finance). I also worked as an RA for Professor David Ulph — investigating the how happiness and well-being differed between the voluntarily and involuntarily unemployed.
Email me at “[email protected]“.