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Exchange Rate Pass Through to Prices in Maldives

Author

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  • Ms. Iyabo Masha
  • Mr. Chanho Park

Abstract

This study examines the degree of exchange rate pass through (EPRT) into producer and consumer prices in Maldives. ERPT to consumer prices is first estimated using a nonparametric approach. A recursive vector autoregression is then used to model both consumer and producer price changes. The nonparametric estimation indicates that ERPT to consumer prices is very high, both in absolute terms and relative to other countries. The dynamics of ERPT as derived from the empirical estimation indicate that ERPT to consumer and producer prices is significant but not complete, and that the impact of exchange rate changes persists into the second year.

Suggested Citation

  • Ms. Iyabo Masha & Mr. Chanho Park, 2012. "Exchange Rate Pass Through to Prices in Maldives," IMF Working Papers 2012/126, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2012/126
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    References listed on IDEAS

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    Cited by:

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    2. Abdul Jalil, 2020. "What Do We Know of Exchange Rate Pass Through?," PIDE Knowledge Brief 2020:5, Pakistan Institute of Development Economics.
    3. Azwifaneli I. Nemushu, 2016. "Rand volatility and inflation in South Africa," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 4(6), pages 8-20, December.
    4. Vugar Rahimov & Nigar Jafarova & Fuad Ganbarov, 2017. "The Exchange Rate Pass-Through to CPI and its components in Oil-Exporting CIS Countries," IHEID Working Papers 06-2017, Economics Section, The Graduate Institute of International Studies.
    5. Sweidan Osama D., 2013. "Exchange Rate Pass-Through into Import Prices in Jordan," Global Economy Journal, De Gruyter, vol. 13(1), pages 109-128, January.
    6. ?lyas ??klar & Merve Kocaman & Sevcan Kapkara, 2017. "Exchange Rate Pass-Through to Domestic Prices: The Turkish Case (2002-2014)," Business and Economic Research, Macrothink Institute, vol. 7(2), pages 202-211, December.
    7. Ganbold, Batzorig & Akram, Iqra & Fahrozi Lubis, Raisal, 2017. "Exchange rate volatility: A forecasting approach of using the ARCH family along with ARIMA SARIMA and semi-structural-SVAR in Turkey," MPRA Paper 84447, University Library of Munich, Germany, revised 2017.

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