Kalshi’s Non-Farm Employment Predictions Do Not Significantly Outperform Economists

The prediction market has always focused on more real-time and more accurate economic data forecasts, but when it comes to the US monthly employment data that is most closely watched in the United States, Kalshi has not yet proven itself to be significantly stronger than traditional experts.

According to Bloomberg analysis, last month the US Department of Labor announced the addition of 178,000 jobs, and the final aggregated estimate from Kalshi bettors deviated from the actual value by more than 90,000 jobs. Although this result was slightly better than the median forecast from the 79 economists surveyed by Bloomberg, the margin of error is still considerable.

Extending the sample to 33 months further narrows the gap between Kalshi and the experts. Bloomberg states that professional forecasters have a slight advantage, but it is not statistically significant; both groups' predictions deviate from the actual value by more than 60,000 jobs on average.

This has concentrated the debate on a more fundamental issue: whether Kalshi's prices are discovering new information or reflecting expert consensus. Prior to this week's employment report, Kalshi's estimate was 71,000 jobs, only 6,000 higher than the economists' expectations, leaving room for doubts about "following consensus."

Deutsche Bank's senior US economist Brett Ryan said that Kalshi is more like making a novel bet:

"Kalshi is simply making money on a novel gamble, akin to a price-guessing game."

Kalshi does not accept this interpretation. Company spokesperson Jack Such stated that the crowd-sourced wisdom provided by Kalshi's traders is based on the overall professional judgment of economists, and similar predictions do not mean that Kalshi is a worse data source.