Economic Modeling in the Post Great Recession Era Incomplete Data, Imperfect Markets

Silvia, John E.; Iqbal, Azhar; House, Sarah Watt

ISBN 10: 1119349834 / ISBN 13: 9781119349839

Published by Wiley, 2017

About this Item

This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Seller Inventory # ABBB-33259

Bibliographic Details

• Title: Economic Modeling in the Post Great Recession Era Incomplete Data, Imperfect Markets
• Publisher: Wiley
• Publication Date: 2017
• Language: English
• ISBN 10: 1119349834
• ISBN 13: 9781119349839
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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. 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.

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.