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Judgmental vs. time series vs. deterministic models in local revenue forecasting

A florida case study

Bibliographic Data

ID20201064
AuthorsHoward A Frank (0009-0004-4498-3253, Florida International University), Xiaohu Wang (0000-0003-0912-3050, Florida International University)
Year1994
Volume6
Issue4
Pages493-517
Publication date1994-03-01
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-06-04-1994-b001
OpenAlexW2771902759
LanguageEN
Citations received2
References cited6

This article presents a study of revenue forecasting in a Florida municipal government. Seven techniques, including the budget officers' judgmental approach, time series models, a deterministic model, and an optimized model, are employed with franchise and utility receipts in the Town of Davie. The authors found that simple time series models outperformed deterministic models and the judgmentally derived forecasts of local officials. Consistent with prior research, findings here suggest that the time series models are not only accurate, but also easy to implement and readily comprehensible by local officials

Business · Econometrics · Economics · Franchise · Local government · Machine learning · Operations research · Political science · Revenue · Time series · Computer Science · Decision-Making and Behavioral Economics · Forecasting Techniques and Applications · Mathematics · Public Administration · Finance · Marketing

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    Open Access•Howard A Frank•The American Review of Public…•1990

Unique citing works2
Citations per year0,09
Citation span2003 - 2016 (14)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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