Data on Investment Discussed by Researchers at Federal Reserve Bank of Chicago (Computing Aggregate Fluctuations of Economies With Private Information): Investment - Insurance News | InsuranceNewsNet

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March 9, 2026 Newswires
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Data on Investment Discussed by Researchers at Federal Reserve Bank of Chicago (Computing Aggregate Fluctuations of Economies With Private Information): Investment

Economics Daily Report

2026 MAR 09 (NewsRx) -- By a News Reporter-Staff News Editor at Economics Daily Report -- Researchers detail new data in Investment. According to news originating from Chicago, Illinois, by NewsRx editors, the research stated, “This paper introduces a general method for computing aggregate fluctuations in economies with private information. Instead of the cross-sectional distribution of agents across individual states, the method uses as a state variable a vector of spline coefficients describing a long history of past individual decision rules.”

Our news journalists obtained a quote from the research from the Federal Reserve Bank of Chicago, “The model is then linearized with respect to that vector. Applying the computational method to a Mirrlees RBC economy with known analytical solution recovers the solution perfectly well.”

According to the news editors, the research concluded: “This test provides significant confidence on the accuracy of the method.”

This research has been peer-reviewed.

For more information on this research see: Computing Aggregate Fluctuations of Economies With Private Information. Computational Economics, 2026. Computational Economics can be contacted at: Springer, Van Godewijckstraat 30, 3311 Gz Dordrecht, Netherlands. (Springer - www.springer.com; Computational Economics - http://www.springerlink.com/content/0927-7099/)

The news correspondents report that additional information may be obtained from Marcelo Veracierto, Federal Reserve Bank of Chicago, Dept. of Research, 230 S LaSalle St, Chicago, IL 60604, United States.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1007/s10614-025-11176-9. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

(Our reports deliver fact-based news of research and discoveries from around the world.)

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