Current account imbalances have increased steadily in rich countries over the past 20 years. While the U.S. current account deficit dominates the numbers and the news, other countries, especially within the euro area, are also running large deficits. These deficits are different from the Latin American deficits of the early 1980s, or the Mexican deficit of the early 1990s. They involve rich countries; they reflect mostly private saving and investment decisions, and fiscal deficits often play a marginal role; and the deficits are financed mostly through equity, FDI foreign direct investment, and own-currency bonds rather than through bank lending. Yet there appears to be a widely shared concern that these deficits are too large, and government intervention is required. My purpose is to examine the logic of this argument. I ask the following question: Assume that deficits reflect private saving and investment decisions. Assume also that people and firms have rational expectations. Should the government intervene, and, if so, how? To answer the question, I construct a simple benchmark. In the benchmark, the outcome is “first best” and there is no need nor justification for government intervention. I then introduce simple distortions in either goods, labor, or financial markets, and characterize the equilibrium in each case. I derive optimal policy and the implications for the current account. I show that optimal policy may or may not lead to smaller current account deficits. I see the model and the extensions very much as a first pass. Sharper conclusions require a better understanding of the exact nature and the extent of distortions, which we do not have yet. Such understanding is needed, however, to improve the quality of the current debate. IMF Staff Papers (2007) 54, 191–219. doi:10.1057/palgrave.imfsp.9450013
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Article provided by Palgrave Macmillan Journals in its journal IMF Staff Papers.
Volume (Year): 54 (2007) Issue (Month): 2 (June) Pages: 191-219 Download reference. The following formats are available: HTML
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