This article seeks to (1) identify forecasting techniques used to estimate taxable sales in California counties; (2) analyze which of these produces the most accurate estimate; (3) document what prevented officials from using the most accurate forecasting technique in California counties; and (4) determine what forecasting approach would work best for individual counties. This research generally confirms previous research findings that judgmental approaches are the most commonly used method of revenue forecasting in smaller localities. In terms of accuracy, econometric models outperform other quantitative methods, particularly compared to trend line fitting and extrapolation-by-average approaches. The “not now but later” perception in the use of econometric models can be ascribed to California county forecasters’ discomfort and lack of preparation for using this sophisticated technique. Once the critical prerequisites for the use of econometric models are provided -- such as statewide training, timely inter-governmental data sharing, easy access to economic data, and user-friendly forecasting formats with automated procedures -- econometric models can serve the needs of California counties.
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1 March 2007
Research Article|
March 01 2007
Local government revenue forecasting: the california county experience
Dongsung Kong
Dongsung Kong
Graduate School of Governance, Sungkyunkwan University
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Publisher: Emerald Publishing
Online ISSN: 1945-1814
Print ISSN: 1096-3367
Copyright © 2007 by PrAcademics Press
2007
licensed reuse rights only
Journal of Public Budgeting, Accounting & Financial Management (2007) 19 (2): 178–199.
Citation
Kong D (2007), "Local government revenue forecasting: the california county experience". Journal of Public Budgeting, Accounting & Financial Management, Vol. 19 No. 2 pp. 178–199, doi: https://doi.org/10.1108/JPBAFM-19-02-2007-B003
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