COVID-19 incurred more unemployment: Forecasting future rate in Malaysia / A’ina Fariha Hasnol Hadi, Noor Aziera Noor Azman and Mimi Nursyafika Dided

Hasnol Hadi, A’ina Fariha and Noor Azman, Noor Aziera and Dided, Mimi Nursyafika (2021) COVID-19 incurred more unemployment: Forecasting future rate in Malaysia / A’ina Fariha Hasnol Hadi, Noor Aziera Noor Azman and Mimi Nursyafika Dided. [Student Project]

Abstract

In March 2020, due to the impact of the Movement Control Order (MCO), Malaysia’s rate of unemployment jumped to 3.9 percent which is the highest since June 2010 according to Laporan Tenaga Buruh Malaysia (2021), from the Department of Statistics Malaysia (DOSM). Unemployment has a negative impact on families’ disposable income, reduces purchasing power, lowers worker morale, and weakens an economy’s productivity. This study aims to identify whether COVID-19 is affecting the unemployment rate in Malaysia and to forecast the unemployment rate for the next 2 years using descriptive analysis and Box-Jenkins’s methodology. Secondary data of the unemployment rate from January 2016 to December 2020 are used. The results show an increasing trend in the data series and imply that ARIMA (2,1,2) is the best model to forecast the unemployment rate by considering all the RMSE, MAPE and MAE. It is found that the estimated unemployment rate continues to rise year to year.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Hasnol Hadi, A’ina Fariha
UNSPECIFIED
Noor Azman, Noor Aziera
UNSPECIFIED
Dided, Mimi Nursyafika
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Nasir, Dr. Noryanti
UNSPECIFIED
Subjects: H Social Sciences > HA Statistics
H Social Sciences > HA Statistics > Statistical data
H Social Sciences > HA Statistics > Theory and method of social science statistics > Surveys. Sampling. Statistical survey methodology
H Social Sciences > HA Statistics > Theory and method of social science statistics > Data envelopment analysis
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Science (Hons.) Statistics
Keywords: COVID-19, unemployment, Forecasting future rate, Malaysia
Date: 2021
URI: https://ir.uitm.edu.my/id/eprint/59905
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