Latest Research

The views expressed in these papers are solely those of the authors and not necessarily those of the U.S. Bureau of Economic Analysis or the U.S. Department of Commerce.


AI Expectations and Outcomes

Evaluating the accuracy of predictions about AI use and outcomes is important given their potential influence on policy and decision making. In this paper, we study whether businesses’ expectations about their use of AI have translated into the desired outcomes. First, we use the U.S. Census… Read more

By Tina Highfill, Jon D. Samuels
Published

Introducing Expanded Indicators in the U.S. Household Production Economic Statistics

This paper presents a significant expansion of indicators in BEA’s household production economic statistics. It expands service-level detail, adds expenditure and gross output measures, and aligns household production with comparable market industries. Household production remains a significant… Read more

By Benjamin R. Bridgman
Published

The Seasons They Are A-Changin’: a Century of Definitions and a Way Forward

What is seasonality? To date, there is not yet a consensus definition, as over a dozen unique definitions of seasonality can be found in the economics and statistics literature. This lack of agreement complicates the identification of, and adjustment for, seasonal effects in economic time series… Read more

By Carter Bryson, Gary Cornwall
Published

The Progression of “Free” Digital Content to AI: Impacts on U.S. Economic Growth and Productivity

We use a barter transaction methodology to measure the impact of advertising-supported media and marketing-supported information, including artificial intelligence (AI), on GDP. We find that including “free” content in consumer entertainment has a substantive impact on recent GDP growth with… Read more

By Leonard Nakamura, Jon D. Samuels, Rachel Soloveichik
Published