Economist Ali Yurukoglu has some encouraging news for anyone who fears that an overconcentration of corporate power is hurting the U.S. economy, stifling innovation, and harming consumers: Dig deep into the data, and you'll see that competition is, in fact, alive and well
Proponents of the competition-in-decline hypothesis have called for stricter policing of mergers and acquisitions, arguing that the feds have been too lax in challenging deals
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Throughout the Biden administration, government officials and lawmakers on both sides of the aisle have embraced a narrative of declining competition and consumer welfare. That storyline has been driven by a shift in economic thinking that helped spur an aggressive approach to antitrust enforcement by the Federal Trade Commission and the Department of Justice: Since 2020, regulators have brought a slew of cases against alleged monopolists, including Big Tech behemoths such as Google, Apple, and Amazon.
But Yurukoglu, a professor of economics at Stanford Graduate School of Business, says the “competition-in-decline hypothesis” is misleading. As he and Carl Shapiro, a professor at the University of California, Berkeley, argue in a forthcoming paperopen in new window in the Journal of Political Economy: Microeconomics, a more careful look at the evidence supports the more optimistically titled “competition-in-action hypothesis,” which posits that most U.S. firms aren’t acquiring market power through anticompetitive means but by outperforming their rivals in ways that benefit consumers.
Part of the reason policymakers are misreading the competitive landscape, Yurukoglu suggests, is their overreliance on a particular body of economic literature. Much of the evidence for declining competition comes from “at-scale” studies. Unlike industry-specific studies, which examine narrowly defined markets such as cereals or search engines, at-scale studies consider extremely broad ones.
While Yurukoglu believes at-scale studies have their place — “we should be doing both,” he says — the data they use isn’t granular enough to draw accurate conclusions about concentration or the extent to which one or more firms dominate an industry or market. For example, an at-scale study of the transportation sector might not distinguish between products like cars and bicycles that don’t compete with each other.
“The hope with the at-scale approach is that you could look at many industries and make comparisons,” Yurukoglu says. “It just turns out that the data that’s readily available isn’t actually amenable to learning all that much about any of these industries.”
This piece originally appeared in Stanford Business Insights from Stanford Graduate School of Business. To receive business ideas and insights from Stanford GSB click here: (To sign up: https://www.gsb.stanford.edu/insights/about/emails)