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Measurement / Errors and residuals in statistics / Statistical theory / Variance / Kalman filter / Autocorrelation / Gross domestic product / Observational error / Errors-in-variables models / Statistics / Regression analysis / Error


WORKING PAPER NO[removed]IMPROVING GDP MEASUREMENT: A MEASUREMENT-ERROR PERSPECTIVE S. Borağan Aruoba University of Maryland and Visiting Scholar, Federal Reserve Bank of Philadelphia
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Document Date: 2013-10-30 08:46:26

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Company

GE / /

Country

United States / /

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Facility

Philadelphia Dongho Song University of Pennsylvania First Draft / ERROR PERSPECTIVE S. Borağan Aruoba University of Maryland / Governors Frank Schorfheide University of Pennsylvania / Philadelphia Francis X. Diebold University of Pennsylvania / Pennsylvania Dongho Song University of Pennsylvania First Draft / /

IndustryTerm

manufacturing / retail sales / imputed financial services / /

Organization

Philadelphia Dongho Song University / Federal Reserve Board University of Pennsylvania Dongho Song University / Federal Reserve Board / Federal Reserve Bank of Philadelphia / National Science Foundation / University of Maryland / University of Maryland University of Pennsylvania / University of Pennsylvania / US Federal Reserve / Real-Time Data Research Center / /

Person

Jeremy Nalewaik Frank Schorfheide / Adrian Pagan / Mark Watson / Chris Sims / Greg Mankiw / Simon van Norden / John Roberts / Matt Shapiro / Bob Chirinko / Don Harding / Justin Wolfers / /

ProvinceOrState

Maryland / Pennsylvania / /

Technology

pdf / /

URL

www.philadelphiafed.org/research-and-data/publications/working-papers / http /

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