Dan Yavorsky

I am a PhD candidate in quantitative marketing at UCLA's Anderson School of Management. My primary research interest is learning about consumers through interesting data made available by recent technology. The chapters of my dissertation explore:

  • consumer search in the U.S. auto industry using smartphone geolocations,
  • how the political differences between current and prospective home locations affect single-family home shoppers,
  • consumer reactions to unexpected quality upgrades on the Uber ride-sharing platform, and
  • the effects on consumer health from shopping at warehouse clubstores.

I have 8 years of economic and litigation consulting experience, during which time I became a CFA charterholder. I received my MBA from UCLA Anderson in 2014 and my BA in economics and mathematics from Claremont McKenna College in 2006.

A few of my favorite things include sipping a cup of Philz Coffee with my wife Alison, hiking our dogs, and the speedy convergence of simulated maximum likelihood routines.