James C. Reeder, III

James C. Reeder, IIIJames C. Reeder, IIIJames C. Reeder, III
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James C. Reeder, III

James C. Reeder, IIIJames C. Reeder, IIIJames C. Reeder, III
  • Home
  • CV
  • Current Research
  • Media
  • Contact Me

Find my Research

Google Scholar Page

Google Scholar Page

Google Scholar Page

Google Scholar

SSRN Page

Google Scholar Page

Google Scholar Page

SSRN

Published works

Disentangling the Effects of Ad Tone on Voter Turnout and Candidate Choice in Presidential Elections

Joint Work with Brett Gordon, Mitchell J. Lovett, and Bowen Luo

Management Science, 2023


Separately identifying the effects of positive versus negative advertising in Presidential campaigns.

Link to Paper

Estimating Marketing Component Effects: Double Machine Learning from Targeted Digital Promotions

Joint Work with Paul B. Ellickson and Wreetabrata Kar

Marketing Science, 2023


Winner - Guy O. and Rosa Lee Mabry Best Paper Award


Studying the component level effects of heterogeneous treatments (emails) through the use of a novel double-machine learning framework that accounts for multiple different treatments.

Link to Paper

Papers under review or revision

Using Contextual Embeddings to Predict the Effect of Novel Heterogenous Treatments

Joint Work with Paul B. Ellickson, Wreetabrata Kar, and Guang Zeng

Minor Revision at Journal of Marketing Research


Do contextual embeddings provide a path to development of optimal marketing creatives? Can leveraging double-machine learning provide better guidance than Generative AI's suggestions?


Link to Paper

The Dynamics of Retail Oligopoly

Joint Work with Arie Beresteanu, Paul B. Ellickson, and Sanjog Misra

Major Revision at Management Science


Did Wal-Mart's entry into the grocery channel benefit customers? How did it change the competitive landscape in that market? 

Link to Paper

Dynamics of Pro-Social Adoption: Promotions, Polarity, and Vaccinations

Joint Work with Daniel Kebede

Reject and Resubmit at Journal of Marketing


How well did the COVID incentive plans in encouraging vaccinations? Was this effect moderated by the incentive time or local level characteristics (political polarization, risk factors, or income)?

Link to Paper

Controlling for Group-Level Heterogeneity in Causal Forest

Joint Work with Candace Jens and T. Beau Page

Under Review at Journal of Financial Economics


Causal Forest is a popular choice in the estimation of average and heterogeneous treatment effects. Given its structure, how can a researcher also appropriate control for unobserved variables? 

Link to Paper

Forecasting Sales in B2B Markets with Unstructured Data

Joint Work with Nawar N. Chaker, Johannes Habel, and Aldo Zucaro

Under Review at Journal of Marketing Research


Firms collect vast amounts of information from their employees (narrators) on customers (protagonists). Can this information be leveraged to improve prediction of customer outcomes? Are there employee characteristics that may mitigate predictive accuracy?

Link to Paper

Local Political Preference and Digitization Effectiveness

Joint Work with Mohammad S. Rahman

Under Review at Management Science


Firms often employ blanket policies that are agnostic to regional preferences. We test if this is a practical solution by investigating if regional political preferences moderate the effectiveness of digital transformation efforts in B2B markets.

Link to Paper

Measuring the Effects of Targeted B2B Promotions: A Dynamic Double Machine Learning Approach

Joint Work with Paul Ellickson and Wreetabrata Kar

Currently Updating Draft for Submission to Management Science


How do specialty retailers react to different sales promotions? Are they profitable? Can we create/target these promotions more effectively?

Works in progress

The Dynamic Effect of Status in B2B Relationships

Joint Work with Wreetabrata Kar and Guang Zeng

Estimation in Progress


Status effects are prevalent in B2C markets. Does the same hold true in B2B settings?

Quantifying the Effect of Sleep Deprivation on Selling Interactions

Joint Work with Murali K. Mantrala

Estimation in Progress


Not all sales interactions are created equal. How much does exhaustion (sleep deprivation) impact the dyadic interaction between seller and buyer?

Text-Based Measurement of Priming Strength

Joint Work with Ahreum Maeng

Estimation in Progress


Consumer behavior studies often use text-based priming. Can this information be leveraged to understand who is "primed" versus not? Will this result in better treatment effect estimates?


Copyright © 2025 James C. Reeder, III - All Rights Reserved.

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