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The Palgrave Handbook of Government Budget Forecasting

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Cover of 'The Palgrave Handbook of Government Budget Forecasting'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Macroeconomic Theory and Forecasting
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    Chapter 3 Evaluating Government Budget Forecasts
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    Chapter 4 Budget Preparation and Forecasting in the Federal Republic of Germany
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    Chapter 5 Revenue Forecasting in Low-Income and Developing Countries: Biases and Potential Remedies
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    Chapter 6 The Reliability of Long-Run Budget Projections
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    Chapter 7 CBO Updated Forecasts: Do a Few Months Matter?
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    Chapter 8 State Revenue Forecasting Practices: Accuracy, Transparency, and Political Participation
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    Chapter 9 Forecasting Post-Crisis Virginia Tax Revenue
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    Chapter 10 Bias Associated with Centrally Budgeted Expenditure Forecasts
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    Chapter 11 Excessive Revenue Underforecasting: Evidence and Implications from New York City’s Property Tax
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    Chapter 12 Small Local Government Revenue Forecasting
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    Chapter 13 Current Midyear Municipal Budget Forecast Accuracy
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    Chapter 14 Using Fiscal Indicator Systems to Predict Municipal Bankruptcies
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    Chapter 15 School District Enrollment Projections and Budget Forecasting
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    Chapter 16 Budget Uncertainty and the Quality of Nonprofit Charter School Enrollment Projections
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    Chapter 17 Forecasting for Prisons and Jails
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    Chapter 18 Government and Nonprofit Personnel Forecasting
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    Chapter 19 Forecast Bias and Capital Reserves Accumulation
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    Chapter 20 Consensus Forecasting
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    Chapter 21 Ensemble Forecasting
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    Chapter 22 Conclusion
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Title
The Palgrave Handbook of Government Budget Forecasting
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-18195-6
ISBNs
978-3-03-018194-9, 978-3-03-018195-6
Editors

Daniel Williams, Thad Calabrese

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Economics, Econometrics and Finance 2 67%
Unknown 1 33%