Fiscal Planning, Budgeting, and Rebudgeting Using Revenue Semaphores
Фискальное планирование, составление бюджета и перераспределение бюджетных ассигнований с использованием семафоров доходов
2004-03-01
SCID: 54.1/t8qcjzn2
Discuss with AI
budget revisionsbudget uncertaintyreal-time budgetingrevenue forecastingrevenue semaphores
Figures from the paper
Abstract (AI)
Revenue forecasts play an important role in the state government budget and policy process. These forecasts are generally reported to executive and legislative leaders as point estimates, with no acknowledgment of their corresponding risk and uncertainty. The revenue semaphores proposed in this article outline procedures by which revenue uncertainty directly influences the planning process. The goal is not to make forecasts more accurate, but to make discussions of budget and revenue alternatives more comprehensive. Explicitly incorporating risk and uncertainty measures into the budgeting process increases the degree of real‐time budgeting and reduces some adverse effects of budget revisions after the fiscal year begins. The discussion occurs in the context of budget control, management, and policy making.
Key Findings
1
Explicit risk and uncertainty measures increase real-time budgeting and reduce some adverse effects of post–fiscal-year budget revisions.
2
Revenue forecasts are typically presented as point estimates, omitting associated risks and uncertainty from state budget and policy discussions.
3
Revenue semaphores provide procedures for integrating revenue uncertainty directly into fiscal planning, budgeting, and rebudgeting.
4
The approach aims to make budget and revenue alternative discussions more comprehensive rather than improve forecast accuracy.
5
The framework is intended to support budget control, management, and policymaking in state government.
Research Object
State government budgeting and revenue forecasting processes
Research Subject
Integration of revenue forecast risk and uncertainty into fiscal planning, budgeting, and rebudgeting decisions
Publication Details
Publication Date
2004-03-01
Journal
Publisher
ISSN
Open access PDF
Access Type
Author Information
Download PDF
Subscribe to digest