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SSRN Electronic Journal
Article . 2012 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2012
Data sources: EconStor
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Testing the Marshall-Lerner Condition in Kenya

Authors: Caporale, GM; Gil-Alana, LA; Mudida, R;

Testing the Marshall-Lerner Condition in Kenya

Abstract

In this paper we examine the Marshall-Lerner (ML) condition for the Kenyan economy. In particular, we use quarterly data on the log of real exchange rates, export-import ratio and relative (US) income for the time period 1996q1 - 2011q4, and employ techniques based on the concept of long memory or long-range dependence. Specifically, we use fractional integration and cointegration methods, which are more general than standard approaches based exclusively on integer degrees of differentiation. The results indicate that there exists a well-defined cointegrating relationship linking the balance of payments to the real exchange rate and relative income, and that the ML condition is satisfied in the long run although the convergence process is relatively slow. They also imply that a moderate depreciation of the Kenyan shilling may have a stabilizing influence on the balance of payments through the current account without the need for high interest rates.

Country
United Kingdom
Keywords

330, fractional cointegration, F32, fractional integration, C32, Kenia, Fractional cointegration, ddc:330, Zahlungsbilanz, Marshall-Lerner condition, Fractional integration, Elastizitätsbedingung, Kaufkraftparität, Marshall-Lerner condition, fractional integration, fractional cointegration, C22, Schätzung, jel: jel:C22, jel: jel:F32, jel: jel:C32

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
bronze