Forecasting state revenues: Expanding the dimensions of budgetary forecasting research

Forecasting state revenues: Expanding the dimensions of budgetary forecasting research

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Article ID: iaor19931037
Country: United States
Volume: 4
Start Page Number: 381
End Page Number: 405
Publication Date: Aug 1992
Journal: Public Budgeting and Financial Management
Authors: ,
Keywords: government, economics, financial, management, forecasting: applications, time series & forecasting methods
Abstract:

For many years the only sustained form of budgetary forecasting research was econometrics based. Recently work has expanded to include research on political and organizational factors associated with forecast accuracy. This paper, based upon two surveys of revenue forecasting in the states, broadens the inquiry to address human interaction, including the importance of inquisitiveness and learning, political pressures, and bias. It concludes that learning should be a central concern of budgetary forecasting.

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