Prediction markets and economists weigh top contenders ahead of 2026 Nobel Prize in Economics announcement

The formal name of the award — the Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel — reflects its origins: Sweden's central bank established it in 1968, separately from the prizes created by Alfred Nobel's will. NPR's Planet Money reported that winners tend to be older, as the committee uses the passage of time to assess a candidate's impact on the field and on broader economic policymaking.

As of Tuesday afternoon, October 6, Ariel Pakes of Harvard University led the thin Kalshi prediction market, trading places near the top with Stanford's Susan Athey, with Harvard's Robert Barro ranked third. NPR noted that the market's small size — roughly $11,000 in total volume, compared to approximately $670 million for Kalshi's 2024 presidential election market — limits how much weight should be placed on the rankings.

Pakes is best known for a 1995 paper co-authored with Steven Berry and James Levinsohn that produced the "BLP" model, a method for estimating how consumers choose among competing products. NPR reported that antitrust regulators use tools derived from that model to evaluate the potential price effects of proposed mergers and acquisitions. Athey, the first woman to win the John Bates Clark Medal in 2007, has contributed to economic theory, empirical economics, and econometrics, and has helped adapt machine learning tools to answer questions of cause and effect in economics. Barro is associated with the theory of "Ricardian equivalence," which holds that government borrowing to fund tax cuts may produce a smaller-than-expected stimulus because households anticipate future tax increases and save rather than spend.