The 2026 Nobel Prize in economics will be announced Monday, and interest is building over who could take home the honor. The 2026 Nobel Prize in economics is officially known as the Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel, created by Sweden’s central bank in 1968.
In the days before the announcement, it is a time-honored ritual to revisit influential research that has yet to be recognized and to speculate about potential laureates. Nobel committees often reward work whose impact has become clear over time.
Sometimes the choice reflects current policy debates. Other times it highlights technical advances that have reshaped how economists test ideas and interpret data.
One way to forecast outcomes is to look to markets. Prices, as economist Friedrich von Hayek argued when he won in 1974, can distill dispersed information into a single signal.
That logic underpins prediction markets, where traders wager on whether specific events will occur, including who might win a Nobel Prize. There is, in fact, an active prediction market for this year’s economics award, but it is thinly traded.
As of Tuesday afternoon, Oct. 6, the market on Kalshi had recorded roughly $11,000 in volume for the 2026 prize. By comparison, Kalshi’s 2024 U.S. presidential market saw about $670 million and ultimately favored Donald Trump, who won.
With such light activity, the Nobel market’s odds can swing sharply on small bets, offering only a rough guide rather than the crowd’s deep wisdom. Even so, those fluctuating odds are a starting point for surveying major ideas and the scholars behind them.
By late Tuesday, Ariel Pakes and Susan Athey traded places as favorites, with Robert Barro close behind.
Ariel Pakes: What happens when competitors merge?
Ariel Pakes of Harvard University has been central to industrial organization, the study of how market structure shapes competition and consumer choice. In 1995, Pakes, Steven Berry, and James Levinsohn introduced the BLP framework for modeling how consumers choose among differentiated products, initially applied to the U.S. auto industry.
Regulators now use extensions of BLP to simulate the price effects of mergers, informing antitrust decisions with empirical evidence. His prominence in betting markets may reflect today’s antitrust focus and the wide policy influence of these empirical tools.
Or it may simply be the imprint of a few determined traders. Either way, the work’s relevance is clear.
Susan Athey: Using machine learning to understand cause and effect
Susan Athey, professor of the economics of technology at Stanford Graduate School of Business, has shaped how economists study the digital economy and has pushed the frontier of applied methods. A 2007 John Bates Clark Medal recipient, she has contributed to theory, empirical economics, and econometrics, and was the first woman to win that medal.
Athey has also helped adapt machine learning to causal questions, such as which workers benefit most from job training. Beyond methodology, she has explored market designs to incentivize carbon removal and has been a leading voice on improving the culture of the economics profession.
Robert Barro: Why expectations matter
Harvard’s Robert Barro helped embed expectations in modern macroeconomics, alongside laureates like Robert Lucas and Thomas Sargent. Barro’s work on Ricardian equivalence argues that tax cuts financed by borrowing may do less to boost spending because people anticipate future taxes and save more.
The idea has sparked decades of debate, especially over how well households plan ahead and how credit constraints shape behavior. Other research on inequality and the labor market, such as work examining the gender gap in hiring amid weak job gains, has also influenced modern economic policy debates; see our coverage in Economist explains gender gap in hiring amid weak job gains.
Other potential winners
Thin betting activity leaves ample room for other contenders:
- Thomas Piketty and Emmanuel Saez: Tracking the rise of the very rich. Piketty, of the Paris School of Economics, and Saez, of UC Berkeley, transformed the study of inequality with new income data that spotlighted the top 1 percent.
- Raj Chetty: Mapping the American Dream. Chetty and collaborators use large administrative datasets to analyze mobility, education, neighborhoods, and opportunity in the United States.
- David Autor: How technology and trade reshape work. The MIT economist’s research links computerization to wage polarization and documents the “China shock,” reframing debates over trade and labor markets.
- Janet Currie: Showing how childhood matters for the economy. The Yale economist studies how early-life conditions, from poverty to pollution, affect health and long-run economic outcomes, and how policy can improve children’s prospects.
Prediction markets can be informative, but when participation is sparse their signals are noisy. With the 2026 Nobel Prize in economics set to be unveiled Monday, the best bet is to watch for the announcement and the reasoning behind the committee’s choice, which often illuminates how economic ideas move from theory to real-world impact, including policy areas that matter across the islands and beyond.
The 2026 Nobel Prize in economics: what to watch
Look for work with clear empirical impact, tools that changed how economists answer causal questions, or research that speaks to today’s policy debates, from competition policy to technology and climate. We will have updates once the prize is announced.
