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Forecasting Government Budgets - Aman Khan, Kenneth A. Kriz

Forecasting Government Budgets

Methods and Applications
Buch | Hardcover
268 Seiten
2022
Lexington Books (Verlag)
978-1-7936-1310-3 (ISBN)
CHF 153,60 inkl. MwSt
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Written in a simple and easy to understand manner, Forecasting Government Budgets presents some of the frequently used methods, simple as well as advanced, in budget forecasting. Although written primarily for graduate students in public administration and management, students from other disciplines will also find it useful.
A budget is the nerve center of a government and forecasting is integral to budgeting. For a government to be able to carry out its everyday operations in a planned and organized manner, it has to have a sound knowledge of future revenues and expenditures, i.e., its budget. Forecasting provides that knowledge by producing estimates of revenues and expenditures, based on past and current information, to indicate whether the government will have sufficient revenue to effectively carry out its routine and non-routine operations. This notion of forecasting is more appropriate at the sub-national level, where the state and local governments are required by law to balance their budget, especially the operating budget. And without good and reliable forecasts, it will be difficult to determine the measures that will be necessary to balance the budget or ensure conformity between revenues and expenditures.

Written in a simple and easy to understand manner, the book presents a number of well-established methods, simple as well as advanced, including some recent developments in budget forecasting. Although written primarily for graduate students in public administration and government practitioners, students from other disciplines will also find it useful.

Aman Khan is Professor of Political Science and Public Administration at Texas Tech University. Kenneth A. Kriz is University Distinguished Professor of Public Administration at the University of Illinois at Springfield.

Part I: Basic Time Series Models

Chapter 1: Basic Time Series Models I

Chapter 2: Basic Time Series Models II

Chapter 3: Time Series Regression

Part II: Advanced Time Series Models

Chapter 4: Box-Jenkins and ARIMA Models

Chapter 5: Seasonal ARIMA Models

Chapter 6: Advanced Time Series Models

Part III: Recent Advances in Forecasting Models

Chapter 7: Some Recent Advances in Forecasting Models

Erscheinungsdatum
Verlagsort Lanham, MD
Sprache englisch
Maße 161 x 232 mm
Gewicht 549 g
Themenwelt Sozialwissenschaften Politik / Verwaltung Politische Theorie
Sozialwissenschaften Politik / Verwaltung Staat / Verwaltung
Wirtschaft Volkswirtschaftslehre Wirtschaftspolitik
ISBN-10 1-7936-1310-9 / 1793613109
ISBN-13 978-1-7936-1310-3 / 9781793613103
Zustand Neuware
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