Analyzing Determinants of Inflation When there Are Data Limitation:The Case of Sierra Leone /

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Bibliographic Details
Author / Creator:	Kalonji, Kadima D.
Imprint:	Washington, D.C. : International Monetary Fund, 2008.
Description:	1 online resource (40 pages)
Language:	English
Series:	IMF Working Papers, 2227-8885 ; Working Paper No. 08/271 IMF Working Papers ; Working Paper no. 08/271.
Subject:	Sierra Leone. Sierra Leone.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12508042

Hidden Bibliographic Details
Other authors / contributors:	Kalonji, Kadima D. Gottschalk, Jan. Miyajima, Ken. International Monetary Fund.
ISBN:	1451988257 9781451988253 9781451988253
Notes:	Available in PDF, ePUB, and Mobi formats on the Internet.
Summary:	This paper examines the determinants of inflation in Sierra Leone using a structural vector autoregression (VAR) approach to help forecast inflation for operational purposes. Despite data limitations, the paper accurately models inflation in Sierra Leone. As economic theory predicts, domestic inflation is found to increase with higher oil prices, higher money supply, and nominal exchange rate depreciation. The paper then employs a historical decomposition approach to pinpoint the sources of a marked decline in inflation in 2006 and assesses its forecasting properties. Overall, the model serves as a useful addition to the toolkit for analyzing and forecasting inflation in countries with limited data availability.
Standard no.:	10.5089/9781451988253.001

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