Lingua: Inglese
Editore: Princeton University Press, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
Da: Labyrinth Books, Princeton, NJ, U.S.A.
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Lingua: Inglese
Editore: Princeton University Press, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
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Lingua: Inglese
Editore: Princeton University Press, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
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Lingua: Inglese
Editore: Princeton University Press, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
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Lingua: Inglese
Editore: Princeton University Press, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
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Lingua: Inglese
Editore: Princeton University Press, US, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
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Aggiungi al carrelloHardback. Condizione: New. The global financial crisis highlighted the impact on macroeconomic outcomes of recurrent events like business and financial cycles, highs and lows in volatility, and crashes and recessions. At the most basic level, such recurrent events can be summarized using binary indicators showing if the event will occur or not. These indicators are constructed either directly from data or indirectly through models. Because they are constructed, they have different properties than those arising in microeconometrics, and how one is to use them depends a lot on the method of construction. This book presents the econometric methods necessary for the successful modeling of recurrent events, providing valuable insights for policymakers, empirical researchers, and theorists. It explains why it is inherently difficult to forecast the onset of a recession in a way that provides useful guidance for active stabilization policy, with the consequence that policymakers should place more emphasis on making the economy robust to recessions.The book offers a range of econometric tools and techniques that researchers can use to measure recurrent events, summarize their properties, and evaluate how effectively economic and statistical models capture them. These methods also offer insights for developing models that are consistent with observed financial and real cycles. This book is an essential resource for students, academics, and researchers at central banks and institutions such as the International Monetary Fund.
Lingua: Inglese
Editore: Princeton University Press, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
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Lingua: Inglese
Editore: Princeton University Press, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
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Lingua: Inglese
Editore: Princeton University Press, US, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
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Aggiungi al carrelloHardback. Condizione: New. The global financial crisis highlighted the impact on macroeconomic outcomes of recurrent events like business and financial cycles, highs and lows in volatility, and crashes and recessions. At the most basic level, such recurrent events can be summarized using binary indicators showing if the event will occur or not. These indicators are constructed either directly from data or indirectly through models. Because they are constructed, they have different properties than those arising in microeconometrics, and how one is to use them depends a lot on the method of construction. This book presents the econometric methods necessary for the successful modeling of recurrent events, providing valuable insights for policymakers, empirical researchers, and theorists. It explains why it is inherently difficult to forecast the onset of a recession in a way that provides useful guidance for active stabilization policy, with the consequence that policymakers should place more emphasis on making the economy robust to recessions.The book offers a range of econometric tools and techniques that researchers can use to measure recurrent events, summarize their properties, and evaluate how effectively economic and statistical models capture them. These methods also offer insights for developing models that are consistent with observed financial and real cycles. This book is an essential resource for students, academics, and researchers at central banks and institutions such as the International Monetary Fund.
Lingua: Inglese
Editore: Princeton University Press, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
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Aggiungi al carrelloCondizione: New. Series: The Econometric and Tinbergen Institutes Lectures. Num Pages: 272 pages, 20 line illus. 18 tables. BIC Classification: KCH. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 216 x 140. . . 2016. Hardcover. . . . .
Lingua: Inglese
Editore: Princeton University Press, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
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Lingua: Inglese
Editore: Princeton University Press, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
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Aggiungi al carrelloCondizione: New. pp. 272.
Lingua: Inglese
Editore: Princeton University Press, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
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Lingua: Inglese
Editore: Princeton University Press, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. Series: The Econometric and Tinbergen Institutes Lectures. Num Pages: 272 pages, 20 line illus. 18 tables. BIC Classification: KCH. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 216 x 140. . . 2016. Hardcover. . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Princeton University Press, New Jersey, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. The global financial crisis highlighted the impact on macroeconomic outcomes of recurrent events like business and financial cycles, highs and lows in volatility, and crashes and recessions. At the most basic level, such recurrent events can be summarized using binary indicators showing if the event will occur or not. These indicators are constructed either directly from data or indirectly through models. Because they are constructed, they have different properties than those arising in microeconometrics, and how one is to use them depends a lot on the method of construction. This book presents the econometric methods necessary for the successful modeling of recurrent events, providing valuable insights for policymakers, empirical researchers, and theorists. It explains why it is inherently difficult to forecast the onset of a recession in a way that provides useful guidance for active stabilization policy, with the consequence that policymakers should place more emphasis on making the economy robust to recessions.The book offers a range of econometric tools and techniques that researchers can use to measure recurrent events, summarize their properties, and evaluate how effectively economic and statistical models capture them. These methods also offer insights for developing models that are consistent with observed financial and real cycles. This book is an essential resource for students, academics, and researchers at central banks and institutions such as the International Monetary Fund. The global financial crisis highlighted the impact on macroeconomic outcomes of recurrent events like business and financial cycles, highs and lows in volatility, and crashes and recessions. At the most basic level, such recurrent events can be summarized using binary indicators showing if the event will occur or not. These indicators are construct Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Princeton University Press, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: Princeton University Press, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 272.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 215 pages. 8.75x5.75x1.00 inches. In Stock.
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Lingua: Inglese
Editore: Princeton University Press, US, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 65,43
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Aggiungi al carrelloHardback. Condizione: New. The global financial crisis highlighted the impact on macroeconomic outcomes of recurrent events like business and financial cycles, highs and lows in volatility, and crashes and recessions. At the most basic level, such recurrent events can be summarized using binary indicators showing if the event will occur or not. These indicators are constructed either directly from data or indirectly through models. Because they are constructed, they have different properties than those arising in microeconometrics, and how one is to use them depends a lot on the method of construction. This book presents the econometric methods necessary for the successful modeling of recurrent events, providing valuable insights for policymakers, empirical researchers, and theorists. It explains why it is inherently difficult to forecast the onset of a recession in a way that provides useful guidance for active stabilization policy, with the consequence that policymakers should place more emphasis on making the economy robust to recessions.The book offers a range of econometric tools and techniques that researchers can use to measure recurrent events, summarize their properties, and evaluate how effectively economic and statistical models capture them. These methods also offer insights for developing models that are consistent with observed financial and real cycles. This book is an essential resource for students, academics, and researchers at central banks and institutions such as the International Monetary Fund.
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Aggiungi al carrelloCondizione: New. Über den AutorDon Harding is professorial research fellow at the Centre of Policy Studies (CoPS) at Victoria University and honorary professor of economics at La Trobe University. Adrian Pagan is professor emeritus of .
Lingua: Inglese
Editore: Princeton University Press, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 108,26
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Princeton University Press, US, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
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Aggiungi al carrelloHardback. Condizione: New. The global financial crisis highlighted the impact on macroeconomic outcomes of recurrent events like business and financial cycles, highs and lows in volatility, and crashes and recessions. At the most basic level, such recurrent events can be summarized using binary indicators showing if the event will occur or not. These indicators are constructed either directly from data or indirectly through models. Because they are constructed, they have different properties than those arising in microeconometrics, and how one is to use them depends a lot on the method of construction. This book presents the econometric methods necessary for the successful modeling of recurrent events, providing valuable insights for policymakers, empirical researchers, and theorists. It explains why it is inherently difficult to forecast the onset of a recession in a way that provides useful guidance for active stabilization policy, with the consequence that policymakers should place more emphasis on making the economy robust to recessions.The book offers a range of econometric tools and techniques that researchers can use to measure recurrent events, summarize their properties, and evaluate how effectively economic and statistical models capture them. These methods also offer insights for developing models that are consistent with observed financial and real cycles. This book is an essential resource for students, academics, and researchers at central banks and institutions such as the International Monetary Fund.
Lingua: Inglese
Editore: Princeton University Press, New Jersey, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 101,63
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The global financial crisis highlighted the impact on macroeconomic outcomes of recurrent events like business and financial cycles, highs and lows in volatility, and crashes and recessions. At the most basic level, such recurrent events can be summarized using binary indicators showing if the event will occur or not. These indicators are constructed either directly from data or indirectly through models. Because they are constructed, they have different properties than those arising in microeconometrics, and how one is to use them depends a lot on the method of construction. This book presents the econometric methods necessary for the successful modeling of recurrent events, providing valuable insights for policymakers, empirical researchers, and theorists. It explains why it is inherently difficult to forecast the onset of a recession in a way that provides useful guidance for active stabilization policy, with the consequence that policymakers should place more emphasis on making the economy robust to recessions.The book offers a range of econometric tools and techniques that researchers can use to measure recurrent events, summarize their properties, and evaluate how effectively economic and statistical models capture them. These methods also offer insights for developing models that are consistent with observed financial and real cycles. This book is an essential resource for students, academics, and researchers at central banks and institutions such as the International Monetary Fund. The global financial crisis highlighted the impact on macroeconomic outcomes of recurrent events like business and financial cycles, highs and lows in volatility, and crashes and recessions. At the most basic level, such recurrent events can be summarized using binary indicators showing if the event will occur or not. These indicators are construct Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Princeton University Press Jul 2016, 2016
ISBN 10: 0691167087 ISBN 13: 9780691167084
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EUR 93,10
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - 'This book provides an exhaustive and original treatment of the econometrics of recurrent events, including business and financial cycles, which will prove useful for students and researchers in private and public institutions.'--Massimiliano Marcellino, Bocconi University.