Daniel McCarthy

Research

Substantive

Methodological

Published or Forthcoming Papers:

1. Kim, Kyeongbin; McCarthy, Daniel, "Wheels to Meals: Measuring the Impact of Micromobility on Restaurant Demand," Journal of Marketing Research, 61(1), 128-142. Link (Download)

   • Media Coverage: Spin (3/11/21), Bird (3/11/21), CBS (3/18/21), CBS (3/23/21), Bird (12/2/21), Zag Daily (12/6/21), Morningstar (12/16/21), Zag Daily ( 1/10/22), Better Bike Share Partnership (6/29/22) International Downtown Association (7/20/22), Earnest Research (7/21/22), NABSA (8/4/22)

2. Oblander, E. Shin; McCarthy, Daniel, "Estimating the Long-Term Impact of Major Events on Consumption Patterns: Evidence from COVID-19," Marketing Science (Articles in Advance), 42(5), 839- 852. Link (Download)

   • Media Coverage: New York Post (4/29/21), The Food Institute (4/29/21), Wall Street Journal (4/30/21), Restaurant Business (4/30/21), New York Magazine (5/5/21), NPR/WABE's All Things Considered (5/18/21), The Economist (5/26/21), Axios (6/17/21), WSJ (9/16/21), Bloomberg (9/16/21), HowStuffWorks (12/16/21), Fast Company (1/25/22), Modern Retail (2/1/22), Dow Jones Marketwatch (2/8/22), Wall Street Journal (12/9/22), NPR/WABE's All Things Considered (12/12/22), Earnest Analytics (1/5/23)
   • MSI Research Grant Award Winner ($9,600) (Link)

3. McCarthy, Daniel; Oblander, E. Shin (2021), "Scalable Data Fusion with Selection Correction: An Application to Customer Base Analysis," Marketing Science, 40(3), 459-480, Link (Download)
   Winner: 2019 Marketing Strategy Meets Wall Street Conference’s 2019 Best Paper Award
   

4. Fader, Peter; Hardie, Bruce; McCarthy, Daniel; Vaidyanathan, Ramnath (2019), "Exploring the Equivalence of Two Common Mixture Models for Duration Data," The American Statistician, 73(3), 288-295, Link
   

5. McCarthy, Daniel; Winer, Russell (2019), "The Pareto Rule in Marketing Revisited: Is it 80/20, or 70/20?," Marketing Letters, 30(2), 139-150, Link
   

6. McCarthy, Daniel; Fader, Peter (2018), "Customer-Based Corporate Valuation for Publicly Traded Non-Contractual Firms," Journal of Marketing Research, 55(5), 617-635, Link (Download)

   • Finalist, 2023 Weitz-Winer-O'Dell Award
     
   • Third most downloaded SSRN Marketing Science paper of all time: SSRN
     
   • Lead article
     
   • Finalist, 2018 Paul Green Award
     
   • Media Coverage: ASA (7/24/17), American Marketing Association (8/5/17), Business Insider (9/27/17), CNBC (Jim Cramer) (9/28/17, 5/2/2019, 4/6/2020), Gartner (12/18/17), EmoryBusiness (1/2/2018), Wall Street Journal (2/12/2018, 2/22/2018, 2/23/2018), Barron's (2/12/2018), Forbes (2/13/2018), Bloomberg (2/22/2018 [44:07]), Boston Globe (2/22/2018), Internet Retailer (5/22/2018), Bloomberg News (8/29/2018), WSJ (11/1/2018, 2/25/2019, 5/2/2019), Fortune (5/16/19), Boston Magazine (10/1/19), Boston Globe (2/28/20), CNBC (6/16/20)
     
   • Morgan Stanley report: Download
     

7. McCarthy, Daniel; Zhang, Kai; Berk, Richard; Brown, Lawrence; Buja, Andreas; George, Edward; Zhao, Linda (2018), "Calibrated Percentile Double Bootstrap for Robust Linear Regression Inference," Statistica Sinica, 28, 2565-2589, Link (Download)
   

8. McCarthy, Daniel; Fader, Peter; Hardie, Bruce (2017), "Valuing Subscription-Based Businesses Using Publicly Disclosed Customer Data," Journal of Marketing, 81(1), 17-35, Link (Download)

   • Most downloaded SSRN Marketing Science paper of all time, top 120 of all time across all disciplines: SSRN
     
   • Finalist, 2022 Sheth Foundation/Journal of Marketing Award (AMA)
     
   • Winner, 2018 Don Lehmann Award (ELMAR)
     
   • Finalist, 2017 MSI H. Paul Root Award
     
   • Finalist, 2017 Shelby Hunt/Harold Maynard Award
     
   • Media Coverage: Knowledge@Wharton (1/26/16), Dow Jones MarketWatch (5/18/17), Penn News Today (5/24/17), Business Radio on Sirius XM (5/25/17), Harvard Business Review (12/19/17)
     
   • Methodology Applied to Blue Apron: Wall Street Journal (6/27/17, 6/28/17), CBS News (6/28/17), Barrons (6/28/17), Fortune (6/29/17), TheStreet.com (6/29/17), Business Insider/Slate (6/30/17, 6/30/17, 7/7/17, 7/20/17), Sina (6/30/17), RetailWire (6/30/17), AdExchanger (7/11/17), Food & Wine (7/14/17), The Motley Fool (7/17/17), PYMNTS (1/9/2018), FT (2/13/2018), PitchBook (9/10/2019), Bloomberg (3/27/2020)
     
   • Methodology Applied to HelloFresh: Barrons (11/1/17), Fortune (11/2/17), BBC/NPR (11/2/17), Der Tagesspiegel (11/2/17), Handelsblatt (11/2/17), FT (11/2/17), AdWeek (11/20/17), Wall Street Journal (1/8/18), Food Dive (2/12/18), The Economist (4/12/18), Inc (6/28/18)
     
   • CBCV Infographic: (11/23/17)
     
   • Methodology Applied to Slack: Yahoo! Finance (6/20/19)
     

9. McCarthy, Daniel; Jensen, Shane (2016), "Power Weighted Densities for Time Series Data," Annals of Applied Statistics, 10(1), 305-334, Link
   

10. Brown, Lawrence; McCarthy, Daniel (2016), "Comments on the paper, "An Adaptive Resampling Test for Detecting the Presence of Significant Predictors," Journal of the American Statistical Association, Theory and Methods, 110, 1446-1449, Link
    

Other Publications

11. Damodaran, A.; McCarthy, Daniel; Cohen, M. (2022), "IPO Disclosures Are Ripe for Reform," MIT Sloan Management Review, Link
    

12. McCarthy, Daniel; Fader, Peter (2020), "How to Value a Company by Analyzing Its Customers," Harvard Business Review, 98 (1), 51-55, Link
    

Working Papers

1. Ye, Taotao; Shankar, Venkatesh; McCarthy, Daniel, "The Causal Effects of In-app Payment Introduction on Omnichannel Shopping and Mobile App Usage," Under review

2. McCarthy, Daniel; Libai, Barak; Schoenmueller, Verena, "The Illusion of Declining Churn: A Product Lifecycle Perspective," Under review, Link
   • Media Coverage: Magis (2/20/24), Modern Retail (2/27/24)

Selected Research In Progress

1. Gurlek, Ragip; McCarthy, Daniel; Samaha, Stephen; Du, Rex; Lee, Donald, "Modeling Customer Asset Balances: Evidence From the Banking Sector"

2. McCarthy, Daniel; Oblander, E. Shin; Park, Young-Hoon, "The Impact of a Subscription on Spending and Share-of-Wallet: Evidence from Restaurant Delivery"
   • Winner, Stanley Sun Faculty Global Research Award ($10,000)

3. Kim, Kyeongbin; McCarthy, Daniel; Lee, Dokyun, "A Transformer-based Approach for Customer Base Analysis: Evidence from 996 Companies"

   • 2023 Google's GCP Credit Award ($20,000)
   • 2022 Google's GCP Credit Award ($43,010)

4. McCarthy, Daniel; Liaukonyte, Jura; Tuchman, Anna, "Adding Ads: The Impact of Ad-Supported Subscription Plan Models on Consumer Behavior and Platform Revenue"
   • MSI Research Grant Award ($5,000)

5. Hollenbeck, Brett; McCarthy, Daniel, "Evaluating the Impact of Consumer Privacy Policies on DTC Firms: Evidence from the Apple ATT Introduction"
   • MSI Research Grant Award ($5,000)
   • Price Center Award ($7,000)
   • Law & Economics Center at George Mason University Antonin Scalia Law School Economics & Privacy Empirical Research Award ($10,000)

6. McCarthy, Daniel, "CBCV: Reshaping the Practice of Corporate Valuation Using a Customer-Driven Approach"
   • Winner, Gary Lilien ISMS-MSI-EMAC Practice Prize (video)