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Forecasting : an essential introduction / Jennifer L. Castle, Michael P. Clements, David F. Hendry.

By: Contributor(s): Material type: TextTextLanguage: English Publisher: New Haven ; London : Yale University Press, 2019Description: xiv, 213 pages : illustrations ; 22 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0300244665 (paperback)
  • 9780300244663 (paperback)
Subject(s): DDC classification:
  • 330.01/12
LOC classification:
  • HB 3730 C353f 2019
Contents:
Why do we need forecasts? -- How do we make forecasts? -- Where are we before we forecast? -- How do we judge forecasts? -- How uncertain are our forecasts? -- Are some real world events unpredictable? -- Why do systematic forecast failures occur? -- Can we avoid systematic forecast failures? -- How do we automatically detect breaks? -- Can we forecast breaks before they hit? -- Can we improve forecasts during breaks? -- Would more information be useful? -- Can econometrics improve forecasting? -- Can you trust economic forecasts?
Summary: Making accurate predictions about the economy has always been difficult, but today forecasters have to contend with increasing complexity and unpredictable feedback loops. This introduction provides an accessible overview of the processes and difficulties of forecasting. For students, for practitioners new to the field, and for general readers interested in how economists forecast.
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Holdings
Item type Current library Home library Collection Shelving location Call number Copy number Status Date due Barcode
Libro Libro Biblioteca Juan Bosch Biblioteca Juan Bosch Ciencias Sociales Ciencias Sociales (3er. Piso) HB 3730 C353f 2019 (Browse shelf(Opens below)) 1 Available 00000165839

Includes bibliographical references and index.

Why do we need forecasts? -- How do we make forecasts? -- Where are we before we forecast? -- How do we judge forecasts? -- How uncertain are our forecasts? -- Are some real world events unpredictable? -- Why do systematic forecast failures occur? -- Can we avoid systematic forecast failures? -- How do we automatically detect breaks? -- Can we forecast breaks before they hit? -- Can we improve forecasts during breaks? -- Would more information be useful? -- Can econometrics improve forecasting? -- Can you trust economic forecasts?

Making accurate predictions about the economy has always been difficult, but today forecasters have to contend with increasing complexity and unpredictable feedback loops. This introduction provides an accessible overview of the processes and difficulties of forecasting. For students, for practitioners new to the field, and for general readers interested in how economists forecast.

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