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.
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.
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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.
PRAISE FOR ECONOMIC MODELING in the POST GREAT RECESSION ERA
"The years since the end of the Great Recession have been an era of disappointing economic performance in which the long-awaited (and long-expected) return to pre-recession trends has been slow to materialize. The authors of this fine new book develop the theme that the Great Recession marks a structural break that has had long-lasting effects on the trend paths of the economy and then explain and demonstrate how to construct useful econometric models that account for this new reality. Highly recommended!"
Rob Roy McGregor, Professor of Economics, Belk College of Business, UNC Charlotte
"John, Azhar, and Sarah's book combines a practical examination of an imperfect economy with a focus on current issues of jobs, inflation, and credit markets. The book recognizes structural change in the 21st century economy and does not engage in wishful thinking hoping for a return to a simpler, idealized economic landscape. This is the type of thinking we need in the post Great Recession era."
Larry Kudlow, The Larry Kudlow Show, Kudlow & Co., LLC
"It has been well-documented that nobody has been more right about the economy since the Great Recession began than John Silvia. Anyone who wants to understand what has been going on, model it, or think about how to improve it, needs to read this book."
Kevin Hassett, Director of Economic Policy Studies, AEI
Since the Great Recession from 2007 to 2009, policymakers have applied many strategies to return the economy back to "normal." However, seven years later, those tactics have resulted in different outcomes, and we're still in an economic slump. Economic Modeling in the Post Great Recession Era offers a data-driven way forward to take off the rose-colored glasses, see the financial landscape for what it is, and make strategic decisions based on those absolute conditions.
Written by three thought leaders at Wells Fargo, this refreshing guide cuts through the political noise and takes a quantitative look at four characteristics currently differentiating the real economy from the idealized conditions used in stylized financial models. By applying a variety of statistical methods, using SAS as the primary tool, the authorial team discusses how these imperfections impact six aspects of the economy, including the labor market, so decision-makers can understand and effectively operate based on true economic factors. Forget about conventional wisdom and what you've heard from the mainstream media get the insider's look at:
As the dust settles from the onslaught of recovery efforts, the data clearly reveals what didn't work, and now business leaders and other decision-makers must adapt to operating under severe adjustments, imperfect information, lags in price movement, and policy uncertainty.
Economic Modeling in the Post Great Recession Era is your dependable guide to seeing through the fog to correctly navigate the real landscape.
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