Duke Fuqua Insights
Duke Fuqua Insights
Podcast Description
Exploring faculty research and the actionable takeaways for business leaders at every level.
Podcast Insights
Content Themes
The podcast focuses on the intersection of academic research and business practices, with episodes highlighting topics such as the implications of AI in the workplace, decision-making processes, and workplace dynamics. For example, the episode 'Should You Tell Your Colleagues You Use AI?' discusses the social evaluation penalty associated with AI use and offers insights for managers on fostering a supportive AI culture.

Exploring faculty research and the actionable takeaways for business leaders at every level.
Professor Bill Mayew explores whether public companies have visibility into the macroeconomy to filter errors in GDP data—and what that means for economic forecasting
Every quarter, the U.S. Bureau of Economic Analysis releases its initial GDP estimate—a flagship measure of economic health that influences corporate boardrooms, Federal Reserve policy, and investor portfolios. But there’s a catch: these early numbers are often wrong.
In this episode, Professor Bill Mayew of Duke University’s Fuqua School of Business discusses his research, published in the Journal of Accounting and Economics, on how corporations respond when government economic data contains errors. Mayew explains why concerns about a potential “macro data crisis” have gained traction and why errors in economic data are not necessarily signs of dysfunction.
Initial GDP estimates rely on incomplete survey data—less than half from actual three-month surveys—with the rest from extrapolations. The Bureau of Economic Analysis refines these estimates at the one-year and five-year marks as more data arrives. Revisions are therefore expected and necessary.
Mayew’s research examined whether large public companies with a unique pulse on the economy could see through the errors inherent in initial GDP estimates. Analyzing firm-level behavior, he and his coauthors found firms tend to take preliminary GDP figures at face value, failing to filter out the inherent noise. When GDP data signals strength in one quarter, companies increase investment, production, and inventory the next — and the same pattern occurs whether the GDP signal reflects real economic change or statistical error.
For policymakers, the findings underscore the need for caution when substituting government data with private sector sources like ADP payroll information. While private data may complement government releases in some cases, Mayew emphasizes government data from agencies like the Bureau of Economic Analysis and Bureau of Labor Statistics still has substantial value.
Instead, he concludes, “we need to think of other ways to improve government data, which may be increasingly possible as new and creative ways of measuring economic activity occur.”
Duke Fuqua Insights features digestible conversations with our faculty about the most impactful research from their careers, including studies they teach in Fuqua classes. New episodes every other week in season.
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