Latent Hidden Factor Model for Malaysian Consumer Price Index; [(Model Faktor Pendam bagi Indeks Harga Pengguna Malaysia)]

The consumer price index (CPI) is one of the significant indicators that can be used to track the inflation rate of a country and assess changes in the cost of living. Generally, the CPI measures the change in the average price of goods and services used by households. The increase in inflation can...

Full description

Bibliographic Details
Published in:Sains Malaysiana
Main Author: Masseran N.; Farouk S.N.A.; Nur-Firyal R.; Mansor M.M.
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191995806&doi=10.17576%2fjsm-2024-5304-18&partnerID=40&md5=5ad95c31ba9b04cca369888161920ac9
id 2-s2.0-85191995806
spelling 2-s2.0-85191995806
Masseran N.; Farouk S.N.A.; Nur-Firyal R.; Mansor M.M.
Latent Hidden Factor Model for Malaysian Consumer Price Index; [(Model Faktor Pendam bagi Indeks Harga Pengguna Malaysia)]
2024
Sains Malaysiana
53
4
10.17576/jsm-2024-5304-18
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191995806&doi=10.17576%2fjsm-2024-5304-18&partnerID=40&md5=5ad95c31ba9b04cca369888161920ac9
The consumer price index (CPI) is one of the significant indicators that can be used to track the inflation rate of a country and assess changes in the cost of living. Generally, the CPI measures the change in the average price of goods and services used by households. The increase in inflation can have a negative socioeconomic effects and the changes in the CPI value needs to be monitored to ensure that the country does not experience a serious inflation rate. In this work, exploratory factor analysis (EFA) was employed to interpret the importance of each variable in the CPI and determine how the latent factors influence the CPI structure in Malaysia for the period of 2003–2022. The findings showed that there are two main latent factors that can be formed. Factor 1 can be classified as ‘Household Expenditures and Lifestyle Choices’ and consists of six variables, namely, ‘alcoholic beverages and tobacco’, ‘housing, water, electricity, gas, and other fuels’, ‘decoration, hardware, and household maintenance’, ‘health’, ‘recreational and cultural services’, and ‘education’. In contrast, Factor 2 can be classified as ‘Daily Necessities and Lifestyle Convenience’ which consists of six variables, namely, ‘food and non-alcoholic beverages’, ‘clothing and shoes’, ‘transportation’, ‘communication’, ‘restaurants and hotels’, and ‘various goods and services’. In addition, the results of our analysis showed that Factor 1 is more dominant in influencing the CPI structure in Malaysia. © 2024 Penerbit Universiti Kebangsaan Malaysia. All rights reserved.
Penerbit Universiti Kebangsaan Malaysia
1266039
English
Article
All Open Access; Gold Open Access
author Masseran N.; Farouk S.N.A.; Nur-Firyal R.; Mansor M.M.
spellingShingle Masseran N.; Farouk S.N.A.; Nur-Firyal R.; Mansor M.M.
Latent Hidden Factor Model for Malaysian Consumer Price Index; [(Model Faktor Pendam bagi Indeks Harga Pengguna Malaysia)]
author_facet Masseran N.; Farouk S.N.A.; Nur-Firyal R.; Mansor M.M.
author_sort Masseran N.; Farouk S.N.A.; Nur-Firyal R.; Mansor M.M.
title Latent Hidden Factor Model for Malaysian Consumer Price Index; [(Model Faktor Pendam bagi Indeks Harga Pengguna Malaysia)]
title_short Latent Hidden Factor Model for Malaysian Consumer Price Index; [(Model Faktor Pendam bagi Indeks Harga Pengguna Malaysia)]
title_full Latent Hidden Factor Model for Malaysian Consumer Price Index; [(Model Faktor Pendam bagi Indeks Harga Pengguna Malaysia)]
title_fullStr Latent Hidden Factor Model for Malaysian Consumer Price Index; [(Model Faktor Pendam bagi Indeks Harga Pengguna Malaysia)]
title_full_unstemmed Latent Hidden Factor Model for Malaysian Consumer Price Index; [(Model Faktor Pendam bagi Indeks Harga Pengguna Malaysia)]
title_sort Latent Hidden Factor Model for Malaysian Consumer Price Index; [(Model Faktor Pendam bagi Indeks Harga Pengguna Malaysia)]
publishDate 2024
container_title Sains Malaysiana
container_volume 53
container_issue 4
doi_str_mv 10.17576/jsm-2024-5304-18
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191995806&doi=10.17576%2fjsm-2024-5304-18&partnerID=40&md5=5ad95c31ba9b04cca369888161920ac9
description The consumer price index (CPI) is one of the significant indicators that can be used to track the inflation rate of a country and assess changes in the cost of living. Generally, the CPI measures the change in the average price of goods and services used by households. The increase in inflation can have a negative socioeconomic effects and the changes in the CPI value needs to be monitored to ensure that the country does not experience a serious inflation rate. In this work, exploratory factor analysis (EFA) was employed to interpret the importance of each variable in the CPI and determine how the latent factors influence the CPI structure in Malaysia for the period of 2003–2022. The findings showed that there are two main latent factors that can be formed. Factor 1 can be classified as ‘Household Expenditures and Lifestyle Choices’ and consists of six variables, namely, ‘alcoholic beverages and tobacco’, ‘housing, water, electricity, gas, and other fuels’, ‘decoration, hardware, and household maintenance’, ‘health’, ‘recreational and cultural services’, and ‘education’. In contrast, Factor 2 can be classified as ‘Daily Necessities and Lifestyle Convenience’ which consists of six variables, namely, ‘food and non-alcoholic beverages’, ‘clothing and shoes’, ‘transportation’, ‘communication’, ‘restaurants and hotels’, and ‘various goods and services’. In addition, the results of our analysis showed that Factor 1 is more dominant in influencing the CPI structure in Malaysia. © 2024 Penerbit Universiti Kebangsaan Malaysia. All rights reserved.
publisher Penerbit Universiti Kebangsaan Malaysia
issn 1266039
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
_version_ 1809678153698770944