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An Integrated Model of the Data Measurement and Data Generation Processes with an Application to Consumers' Expenditure

Bibliographic Data

ID9703248
AuthorsK David Patterson (0000-0002-0190-7072, University of Reading, corresponding author)
Year1995
Volume105
Issue428
Pages54
Publication date1995-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueThe Economic Journal (JOURNAL)
Journal identifiersISSN: 0013-0133 • E-ISSN: 1468-0297
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.2307/2235319
OpenAlexW1990218741
LanguageEN
Citations received3
References cited11

An integrated model is defined as one which not only models the data generation process (DGP) but also models the data measurement process (DMP). A natural framework for such an integrated model is the state space approach, with the optimal combination of preliminary vintages of data and predictions from the DGP model being obtained by application of the Kalman filter. We show that substantial reductions in the mean square error of preliminary vintages of data on consumers' expenditure can be obtained from this approach. This provides further evidence that preliminary vintages are not efficient forecasts of the final vintage

Algorithm · Econometrics · Economics · Kalman filter · Mean squared error · Process (computing · State space · State-space representation · Statistics · Vintage · Artificial Intelligence · Complex Systems and Time Series Analysis · Computer Science · Forecasting Techniques and Applications · Mathematics · Monetary Policy and Economic Impact

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Unique citing works3
Citations per year0,1
Citation span1997 - 2017 (21)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3
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