Economic Modeling in the Post Great Recession Era: Incomplete Data, Imperfect Markets
In Economic Modeling in the Post Great Recession Era, the authors will consider several statistical techniques to address critical characteristics of economic behavior in the context of the post Great Recession economy. They apply statistical techniques to economic drivers of interest for private and public decision-makers and characterize the evolving conditions of the US economy. The authors recognize structural change instead of fighting against it or looking backwards to a simpler, more idealized economic landscape. In doing so, the authors address three economic characteristics that are central to actual behaviors in the economy: dynamic adjustment, imperfect information, and lags and disparities in price movements.
The authors examine various aspects of the economy, including the labor market, to see what implications these three economic characteristics have on actual behaviors in the market. They apply a number of statistical techniques to identify and quantify the behaviors using SAS as their primary statistical tool. The book is aimed at practitioners and students interested in techniques to understand and evaluate the current economic situation in an applied manner. The authors examine the post-recession economic world as it is, not as they imagine it, and present statistical methods to identify and adapt to the structural breaks and lags that face decision-makers.