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Consistent underestimation bias, the asymmetrical loss function, and homogeneous sources of bias in state revenue forecasts

Bibliographic Data

ID20201429
AuthorsWilliam R Voorhees (Arizona State University, corresponding author)
Year2006
Volume18
Issue1
Pages61-76
Publication date2006-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Public Budgeting Accounting & Financial Management (JOURNAL)
Journal identifiersISSN: 1096-3367 • E-ISSN: 1945-1814
PublisherEmerald (PUBLISHER)
DOI10.1108/jpbafm-18-01-2006-b003
OpenAlexW2775719608
LanguageEN
Citations received4
References cited17

One component of revenue forecast error has been attributed to the phenomena of consistent underestimation bias due asymmetrical loss. Because underestimation of revenue forecast results in less loss to forecasters than overestimations, there appears to be a bias for forecasters to underestimate revenue forecasts. This paper confirms this hypothesis. Additionally, with the greater usage of national forecasting organizations that provide economic forecasts on which revenue forecasts are based, a secondary source of forecaster bias may be present in many state level forecasts. This hypothesis is supported by the increase in number of states using such organizations and a decrease in the standard deviation of the annual mean percentage state forecast error

Consensus forecast · Econometrics · Economics · Forecast error · Homogeneous · Revenue · Standard deviation · Statistics · Economics of Agriculture and Food Markets · Forecasting Techniques and Applications · Mathematics · Monetary Policy and Economic Impact · Finance

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Unique citing works4
Citations per year0,27
Citation span2011 - 2020 (10)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 4

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