In the Wake of the Crisis: Leading Economists Reassess Economic Policy
- Blanchard, Olivier J.() (International Monetary Fund)Romer, David() (University of California, Berkeley)Spence, Michael() (Stanford University’s Graduate School of Business)Stiglitz, Joseph E.() (Columbia University)Registered editor(s):
In 2011, the International Monetary Fund invited prominent economists and economic policy makers to consider the brave new world of the post-crisis global economy. The result is a book that captures the state of macroeconomic thinking at a transformational moment. The crisis and the weak recovery that has followed raise fundamental questions concerning macroeconomics and economic policy. For instance, to what extent are financial markets efficient and self-correcting? How crucial is low and stable inflation for growth and the real stability of the economy? How strong is the case for open capital markets? Too often, the standard models provided insufficient guidance on how to respond to the unprecedented situations created by the crisis. As a result, policy makers have been forced to improvise. What to do when interest rates reach the zero floor? How best to provide liquidity to segmented financial institutions and markets? How much to use fiscal policy starting from high levels of debt? These top economists discuss future directions for monetary policy, fiscal policy, financial regulation, capital account management, growth strategies, and the international monetary system, and the economic models that should underpin thinking about critical policy choices. Among the new realities they consider are the swing of the pendulum toward regulation; the need for new theoretical approaches, incorporating advances in agency theory, behavioral economics, and understanding of credit markets and finance based on theories of imperfect information; and the importance for macroeconomic policy to target not just inflation but also output and financial stability.
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- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
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