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Macroeconomics / Estimation theory / Statistical forecasting / Kalman filter / Forecasting / Recursive least squares filter / Regression analysis / Vector autoregression / Adaptive expectations / Statistics / Time series analysis / Econometrics


doi:j.econlet
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Document Date: 2014-11-04 13:05:20

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City

London / St. Louis / /

Company

Princeton University Press / MIT Press / WWII U.S. Review / D 2005 Elsevier B.V. / Bullard / /

Country

United States / /

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Event

Business Partnership / /

Facility

Princeton University / Oregon State University / University of Oregon / University of Chicago Press / University of Illinois / /

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IndustryTerm

constant gain algorithm / suitable algorithm / adaptive learning algorithms / economic law / constant gain algorithms / parameter law / data-mining / /

Organization

University of Illinois / University of Oregon / MIT / United States Department of Economics / NBER / Oregon State University / University of Chicago Press / Chicago / Princeton University / Federal Reserve Bank / University of California / Irvine / /

Person

Uncertainty / William A. Branch / George W. Evans / Philip Allan / /

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Position

model the economy / Model / Rt / Corresponding author / simple recursive forecasting model / /

ProvinceOrState

Illinois / Oregon / California / /

PublishedMedium

Review of Economic Studies / Journal of Finance / Journal of Monetary Economics / Review of Economic Dynamics / Journal of Economic Dynamics and Control / Economics Letters / /

Technology

constant gain algorithm / suitable algorithm / specific adaptive learning algorithms / constant gain algorithms / /

URL

www.elsevier.com/locate/econbase / /

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