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Article type: Research Article
Authors: Fleming, Martina | Jordan, John S.b | Lang, Kathleen M.b
Affiliations: [a] Abt Associates Inc., 55 Wheeler Street, Cambridge, Massachusetts 02138-1168, USA. Tel.: +1 617 492 7100; Fax: +1 617 492 5219 | [b] Boston College, Newton, Massachusetts 02167, USA
Note: [1] The comments of Christopher F. Baum, Sengul Dagdeviren, and Ayla Ogus of the Department of Economics at Boston College and Joseph W. Duncan of Dun & Bradstreet Corporation are also acknowledged. Data were provided courtesy of Maureen Haver of Haver Analytics, Inc. and Allen H. Young of the Bureau of Economic Analysis. Any errors remain the responsibility of the authors.
Abstract: This paper reviews the performance of the National Income and Product Accounts (NIPA) over the period 1986 through 1991. Forecasts published jointly by the American Statistical Association and the National Bureau of Economic Research are decomposed into two components, pure prediction error and data measurement error. The results show that more than two-thirds of observed forecast error could be attributed to data measurement error over all forecast horizons examined, including those as brief as one quarter ahead. Outdated estimation methods for large portions of GNP, namely PCE and S&L, are identified as potential driving forces behind the problems caused by measurement error.
Keywords: Prediction error, consensus forecasts, business cycles
DOI: 10.3233/JEM-1996-22201
Journal: Journal of Economic and Social Measurement, vol. 22, no. 2, pp. 89-102, 1996
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