Economic Modeling in the Post Great Recession Era: Incomplete Data, Imperfect Markets
Language: English
Published by John Wiley & Sons Inc, 2017
- First Edition
- Hardcover
- New
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Reality-based modeling for today's unique economic recovery Economic Modeling in the Post Great Recession Era presents a more realistic approach to modeling, using direct statistical applications to address the characteristics and trends central to current market behaviors. Series: Wiley and SAS Business Series. Num Pages: 400 pages. BIC Classification: KCHS; KCP; KCX; KCZ. Category: (P) Professional & Vocational. Dimension: 235 x 161 x 32. Weight in Grams: 592. . 2017. 1st Edition. Hardcover. . . . .
Seller Inventory # V9781119349839
- Title
- Economic Modeling in the Post Great Recession Era: Incomplete Data, Imperfect Markets
- Author
- John E. Silvia
- Publisher
- John Wiley & Sons Inc
- Publication year
- 2017
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1119349834
- ISBN 13
- 9781119349839
- Edition
- 1st Edition
Economic Modeling in the Post Great Recession Era presents a more realistic approach to modeling, using direct statistical applications to address the characteristics and trends central to current market behaviors. This book's unique focus on the reality of today's markets makes it an invaluable resource for students and practitioners seeking a comprehensive guide to more accurate forecasting. While most books treat the economy as if it were in a vacuum, building models around idealized or perception-biased behaviors, this book deals with the economy as it currently stands―in a state of recovery, limited by financial constraints, imperfect information, and lags and disparities in price movements. The authors identify how these characteristics impact various markets' behaviors, and quantify those behaviors using SAS as the primary statistical tool.
Today's economy bears a number of unique attributes that usual modeling methods fail to consider. This book describes how to approach modeling based on real-world, observable data in order to make better-informed decisions in today's markets.
- Discover the three economic characteristics with the greatest impact on various markets
- Create economic models that mirror the current post-recession reality
- Adopt statistical methods that identify and adapt to structural breaks and lags
- Factor real-world imperfections into modeling for more accurate forecasting
The past few years have shown a clear demarcation between policymakers' forecasts and actual outcomes. As the dust settles on the Great Recession, after-effects linger―and impact our current recovery in ways that diverge from past experience and theoretical expectations. Economic Modeling in the Post Great Recession Era provides comprehensive guidance grounded in reality for today's economic decision-makers.
"Synopsis" may belong to another edition of this title.
About the Author
JOHN E. SILVIA is a managing director and the chief economist for Wells Fargo. Previously he worked on Capitol Hill as senior economist for the U.S. Senate Joint Economic Committee and chief economist for the U.S. Senate Banking, Housing, and Urban Affairs Committee.
AZHAR IQBAL is director and econometrician at Wells Fargo Securities.
SARAH WATT HOUSE is vice president of Wells Fargo Securities.
"About the title" may belong to another edition of this title.
Kennys Bookshop and Art Galleries Ltd.
Galway, GY, Ireland
AbeBooks seller since February 27, 2001
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