Description

Book Synopsis

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.



Trade Review

This is an excellent introduction to forecasting for people who budget. It provides a good foundation in basic skills and provides an introduction to more advanced methods.

-- Daniel Williams, The Marxe School of Public and International Affairs, Baruch College, CUNY

Table of Contents

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

Forecasting Government Budgets: Methods and

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    £72.90

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    RRP £81.00 – you save £8.10 (10%)

    Order before 4pm tomorrow for delivery by Fri 19 Jun 2026.

    A Hardback by Aman Khan, Kenneth A. Kriz

    Out of stock


      View other formats and editions of Forecasting Government Budgets: Methods and by Aman Khan

      Publisher: Lexington Books
      Publication Date: 15/12/2022
      ISBN13: 9781793613103, 978-1793613103
      ISBN10: 1793613109

      Description

      Book Synopsis

      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.



      Trade Review

      This is an excellent introduction to forecasting for people who budget. It provides a good foundation in basic skills and provides an introduction to more advanced methods.

      -- Daniel Williams, The Marxe School of Public and International Affairs, Baruch College, CUNY

      Table of Contents

      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

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