Show simple item record

dc.contributor.author Jayatilake, A
dc.contributor.author Peiris, S
dc.date.accessioned 2017-11-08T13:58:47Z
dc.date.available 2017-11-08T13:58:47Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/12865
dc.description.abstract Population ageing is an universal phenomenon and it is expected to be among the most prominent global demographic trends of the 21st century. In Sri Lanka there was a rising trend of ageing population throughout the past years and has recorded the highest number of agers within South Asia. However, no sound statistical or mathematical models were developed to project ageing population in Sri Lanka. Using the population aged 60 years and above in Sri Lanka during 1950-2016, three types of statistical models: (i) ARIMA (0, 2, 1), (ii) exponential trend model, and (iii) double exponential smoothing model were developed. The models were compared using various statistical indicators and some statistical diagnostics tests. The comparison was done for both training set as well as validation set. Among these models the double exponential smoothing model was found as the best fitted model. According to the forecast derived from the best fitted model, it was found that the increasing trend of ageing population in the country will continue in the future and there will be approximately 2,936,000 ageing population in Sri Lanka in 2020. The information obtained this study is beneficial for planners and decision makers in the government sector and other relevant organizations to cater the needs of the increasing agers in the future of Sri Lanka. en_US
dc.language.iso en en_US
dc.subject Ageing Population en_US
dc.subject ARIMA
dc.subject Demographic
dc.subject Exponential Smoothing
dc.title Modeling ageing population (60+years) in Sri Lanka en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Architecture en_US
dc.identifier.department Department of Architectre en_US
dc.identifier.year 2017 en_US
dc.identifier.place Colombo en_US
dc.identifier.pgnos pp. 160-166 en_US
dc.identifier.proceeding Proceedings of the International Conference on 'Cities, People and Places' - ICCPP-2017 en_US
dc.identifier.email sarathp@uom.lk en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record