Daniel M. McCarthy



Curriculum Vitae


About Me:
I am an Assistant Professor of Marketing at Emory University's Goizueta School of Business. 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. It has also been featured in media outlets such as the Wall Street Journal, FT, Fortune, Barron's, CBS, CNBC, Slate, Business Insider, The Motley Fool, and Handelsblatt.

I completed my Ph.D. in Statistics from the Wharton School of the University of Pennsylvania in May 2017. One of my research specialties 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:
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