Real Exchange Rate Behavior and Economic Growth: Evidence from Egypt, Jordan, Morocco, and Tunisia

This paper examines the effect of the real exchange rate misalignment (RERMIS) on the collective economic growth of Egypt, Jordan, Morocco, and Tunisia. The paper constructs three measures of exchange rate misalignment based on purchasing power parity; a black market exchange rate; and a structured model. The empirical investigation confirmed the adverse effect of RERMIS on growth, using all measures of RERMIS, as predicted by endogenous growth models. The results also highlighted the role of other factors; specifically, capital growth and population have the theoretical signs predicted by the Solow growth model and are statistically significant.
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Volume/Issue: Volume 1999 Issue 040
Publication date: March 1999
ISBN: 9781451845952
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Topics covered in this book

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Business and Economics , Finance , WP , terms of trade , economic growth , exchange rate , Real Exchange Rate , Exchange Rate Mislignment , Exchange Rate Policies , Growth , Arab Countries , Egypt , equilibrium RER , RER appreciation , RER misalignment , RER behavior , Moroccan dirham , black market exchange rate premium , RER equation , RER level , import exchange rate , RER distortion , RER determination , RER variability , Exchange rates , Exchange rate policy , Currency markets , Real exchange rates , East Asia , substitution effect

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Summary

This paper examines the effect of the real exchange rate misalignment (RERMIS) on the collective economic growth of Egypt, Jordan, Morocco, and Tunisia. The paper constructs three measures of exchange rate misalignment based on purchasing power parity; a black market exchange rate; and a structured model. The empirical investigation confirmed the adverse effect of RERMIS on growth, using all measures of RERMIS, as predicted by endogenous growth models. The results also highlighted the role of other factors; specifically, capital growth and population have the theoretical signs predicted by the Solow growth model and are statistically significant.

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