AI SearchDistributed lags in electricity demand : Philippines
Call Number: AIT Thesis no.ET-87-8 Material type:
TextSeries: Asian Institute of Technology. Thesis ; no. ET-87-8Publication details: Bangkok : Asian Institute of Technology, 1987Description: 131 pSubject(s): Online resources: Dissertation note: Thesis (M.Eng.) - Asian Institute of Technology, 1987 Summary: In this study , the distributed effects of GDP, price and number of customers on electricity demand were explored using various techniques. Simple regression using Ordinary Least Squares and Yule Walker Method of Estimation failed to the lagged relationship. Similarly, the transfer approach using the Box-Jenkins procedure showed no relationship. capture function dynamic A geometric lag scheme was introduced to identify the dynami c response of e l ectricity demand to changes in various determinants. The derived models obtained using this formulation were conceptually simple and economica l ly plausible. The study showed that there was a delayed adjustment of demand, notabl y to price, in all sectors as well as for the aggregate. The price effects were spread over a longer period in the industrial sector . The impact on the residential sector on the other hand, was relatively more immediate.
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Asian Institute of Technology Library Archives | AIT Thesis no.ET-87-8 (Browse shelf(Opens below)) | Available | 30050120344808 |
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Environment, Resources and Development
Thesis (M.Eng.) - Asian Institute of Technology, 1987
In this study , the distributed effects of GDP, price and number of customers on electricity demand were explored using various techniques. Simple regression using Ordinary Least Squares and Yule Walker Method of Estimation failed to the lagged relationship. Similarly, the transfer approach using the Box-Jenkins procedure showed no relationship. capture function dynamic A geometric lag scheme was introduced to identify the dynami c response of e l ectricity demand to changes in various determinants. The derived models obtained using this formulation were conceptually simple and economica l ly plausible. The study showed that there was a delayed adjustment of demand, notabl y to price, in all sectors as well as for the aggregate. The price effects were spread over a longer period in the industrial sector . The impact on the residential sector on the other hand, was relatively more immediate.
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