Show simple item record

dc.contributor.authorNiyimpa, Edgar
dc.date.accessioned2019-01-10T08:58:41Z
dc.date.available2019-01-10T08:58:41Z
dc.date.issued2018-12-19
dc.identifier.citationNiyimpa, E. (2018). Analysis of Viability of Core Inflation Components Based on Excluded Items in Uganda. Unpublished masters thesis. Makerere University, Kampala, Ugandaen_US
dc.identifier.urihttp://hdl.handle.net/10570/7122
dc.descriptionA Dissertation Submitted to the Directorate of Research and Graduate Training in Partial Fulfillment of the Requirements for the Award of the Degree of Master of Science in Quantitative Economics Degree of Makerere Universityen_US
dc.description.abstractThe purpose of the study was to assess the viability of core inflation components based on traditionally excluded items of the consumer price index in Uganda. Particularly, this was achieved through subjecting all Energy, Fuel and Utilities (EFU) and Food crops to volatility and persistence tests. The study used time series data obtained from the Uganda Bureau of Statistics (UBOS) for the period July 2010 to June 2017 and covered all the 10 baskets monitored by UBOS. The measurement variables included volatility and persistence. The standard deviation was employed to measure the volatility and the sum of auto-regressive coefficients (AR ) in a univariate inflation equation was used to measure persistence. In the study, Food and related items were noted to be more volatile than EFU items. Particularly tobacco leaves, peas, matooke and malewa recorded the highest volatility with a low persistence while cassava fresh, water melons, apples, ground nuts and french beans recorded the least price volatility during the study period. On the other hand, the EFU items namely petrol, diesel, paraffin, NWSC water, firewood and electricity recorded the least variation in prices with a high persistence during the study period. The study further indicated that inclusion of the EFU and food items found to be less volatile and highly persistent, did not yield significantly different results when comparing means of the recompiled and existing core index at 5% level of significance (p>0.05). However, the recompiled core index was more precise than the existing core index because the standard error reduced by 7%. In light of the findings, this study recommends periodical review of the core components based on both volatility and persistence in order to improve estimates.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectCore inflation componentsen_US
dc.subjectInflationen_US
dc.subjectExcluded Itemsen_US
dc.subjectUgandaen_US
dc.titleAnalysis of Viability of Core Inflation Components Based on Excluded Items in Ugandaen_US
dc.typeThesisen_US


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record