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The effect of the exchange rate regime on inflation and growth is examined. The 30-year data set includes over 100 countries and nine regime types. Pegged regimes are associated with lower inflation than intermediate or flexible regimes. This anti-inflationary benefit reflects lower money supply growth (a discipline effect) and higher money demand growth (a credibility effect). Output growth does not vary significantly across regimes: Countries with pegged regimes invest more and are more open to international trade than those with flexible rates, but they experience lower residual productivity growth. Output and employment are more variable under pegged rates than under flexible rates.
A recent study by Grilli and Kaminsky (1991) argues that real exchange rate (RER) behavior is likely to be dependent on the particular historical period rather than on the nominal exchange rate arrangement itself. This paper reexamines RER behavior using alternative data sets, as well as different econometric methods, over the period 1880-1997. It finds strong evidence supporting the nonneutrality hypothesis of nominal exchange regime on RER volatility. Also, regime shifts play an important role in determining the persistence of shocks to the RER.
Although the theoretical relationships are ambiguous, evidence suggestsa strong link between the choice of the exchange rate regime and economicperformance. The paper argues that adopting a pegged exchange rate canlead to lower inflation, but also to slower growth in productivity. Itfinds that on average per capita GDP growth was slightly faster underfloating regimes than under pegged exchange regimes.
This paper analyses the impact of exchange rate uncertainty upon the pattern of investment in different exchange rate regimes (very hard pegs, intermediate regimes, and floats) by means of a unified approach. The comparison of different exchange rate regimes indicates that currency volatility exerts only a small influence upon the level if investment spending. On the other hand, firms turn out to be more cautious about responding to exchange rate shocks in a credible target zone model than in a flexible exchange rate regime or in a target zone model with stochastic realignments.
Orlowski's paper is an important contribution to the literature on monetary policy in transition economies. It studies how variant monetary policies conducted in leading transition economies, Hungary, Poland, and the Czech Republic, have affected the real exchange rate trends differently. The sample period covers the post-95 period. Orlowski's findings indicate that the choice of a nominal exchange rate regime does matter for the behaviour of real economic variables.
An empirical study of exchange rate regimes based on data compiled from 150 member countries of the International Monetary Fund over the past thirty years. Few topics in international economics are as controversial as the choice of an exchange rate regime. Since the breakdown of the Bretton Woods system in the early 1970s, countries have adopted a wide variety of regimes, ranging from pure floats at one extreme to currency boards and dollarization at the other. While a vast theoretical literature explores the choice and consequences of exchange rate regimes, the abundance of possible effects makes it difficult to establish clear relationships between regimes and common macroeconomic policy targets such as inflation and growth. This book takes a systematic look at the evidence on macroeconomic performance under alternative exchange rate regimes, drawing on the experience of some 150 member countries of the International Monetary Fund over the past thirty years. Among other questions, it asks whether pegging the exchange rate leads to lower inflation, whether floating exchange rates are associated with faster output growth, and whether pegged regimes are particularly prone to currency and other crises. The book draws on history and theory to delineate the debate and on standard statistical methods to assess the empirical evidence, and includes a CD-ROM containing the data set used.