01889cas a2200265 a 4500 AALejournalIMF005500 230101c9999 xx r poo 0 0eng d 5.00 USD 9781451871296 1018-5941 BD-DhAAL BD-DhAAL Kalonji, Kadima. Analyzing Determinants of Inflation When There Are Data Limitation : The Case of Sierra Leone / Kadima Kalonji, Jan Gottschalk, Ken Miyajima. Washington, D.C. : International Monetary Fund, 2008. 1 online resource (40 pages) IMF Working Papers <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required Electronic access restricted to authorized BRAC University faculty, staff and students 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. Mode of access: Internet Gottschalk, Jan. Miyajima, Ken. IMF Working Papers; Working Paper ; No. 2008/271 Full text available on IMF http://elibrary.imf.org/view/journals/001/2008/271/001.2008.issue-271-en.xml IMF e-Library