Government Budget Forecasting

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advanced government financial forecasting
Budget Forecasting
Category=KFFD
consensus budget methods
Consensus Forecasting
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
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evaluating revenue
Expenditure Forecasting
Fan Charts
financial stability
fiscal architecture
fiscal risk modeling
Forecast Accuracy
Forecast Error
Forecaster's Loss Function
Forecaster’s Loss Function
Forecasting Process
General Fund Revenue
government budgeting
Individual Income Tax
P Erc
Pe Rc
Personal Income Taxes
public administration
public finance analysis
Revenue Estimating
Revenue Forecast
Revenue Forecasting Process
risk assessment
Scal Year
state fiscal management
State Revenue Forecast
Ta Ge
Ta Te
TANF Caseload
Tax Portfolios
tax revenue estimation
Te Ch
Va Ri
welfare caseload projection

Product details

  • ISBN 9781420045826
  • Weight: 1043g
  • Dimensions: 156 x 234mm
  • Publication Date: 26 Mar 2008
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Revenue and expenditure forecasting plays an important role in public budgeting and financial management, particularly during times of financial constraint, when citizens impose greater accountability upon government to use taxpayer dollars more efficiently. Despite its significance, revenue and expenditure forecasting is often overlooked in the budget process, and there is an imbalance between practice and research in this area. Based on the collaboration of budget scholars and practitioners, Government Budget Forecasting fulfills two purposes:

  1. Enhances the understanding of revenue and expenditure estimation both theoretically and practically
  2. Stimulates dialogue and debate among practitioners and academicians to identify good forecast practices as well as areas for improvement

Divided into four parts, this comprehensive reference first examines forecast practices at the federal, state, and local levels, drawing on case studies that include California, Texas, and Louisiana. It then explores consensus systems and risk assessment, considering political factors and the costs of forecast errors. The text concludes with a call to transparency and guidance from a code of ethics, and a look at forecasting practices in emerging countries.

Jinping Sun (California State University, Bakersfield, USA) (Edited by) ,  Thomas D. Lynch (Louisiana State University, Baton Rouge, USA) (Edited by)