Daniel M. McCarthy

Curriculum Vitae

About Me:
I am a fifth year Ph.D. candidate in the Statistics Department at the Wharton School of the University of Pennsylvania, and resident data scientist for the Wharton Customer Analytics Initiative. I am a marketing scientist and a methodologist. My research specialty is the application of leading-edge statistical methodology to contemporary empirical marketing problems. My research interests include customer lifetime value (CLV), Bayesian computation, missing data problems, the marketing/finance interface, digital marketing analytics, and online advertising. My research has been accepted and published in top-tier academic journals such as the Journal of Marketing, the Journal of the American Statistical Association: Theory and Methods, Statistica Sinica, and the Annals of Applied Statistics.

I will be joining Emory University's Goizueta School of Business as an Assistant Professor of Marketing in Fall 2017.

My dissertation topic is customer-based corporate valuation, valuing contractual and non-contractual companies from the "bottoms up" by valuing their customers. I won the MSI Alden G. Clayton, ASA, ISMS, and Shankar-Spiegel Dissertation Proposal Competitions for this work, and am grateful to Adobe Corporation for $50,000 in research support for it. Some of the insights created through this research are being commercialized through a company I co-founded, Zodiac.

I am also actively pusuing research in other applied statistics topics related to inference and prediction. Please see below for my publications, papers under review, papers submitted, and working papers. I would like my research to have real-world impact, so I have created R packages to complement 2 of my papers. These packages are optimized for speed with C++ code and are downloadable on CRAN so that others can more easily interact with my work.

Educational History: Current Teaching: Past Teaching: Published or Forthcoming Papers: Working Papers: Software: Contact Information: