Prediction of Literacy Rate of Female Youth in Pakistan Using Time Series Modelling

Educated youth are a country's intellectual assets, and they may contribute greatly to its growth, advancement, and innovation. It is critical to identify and implement effective solutions to close the long-standing literacy rate difference. This study is being conducted to anticipate Pakistan&...

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Bibliographic Details
Published in2022 International Conference on Emerging Trends in Smart Technologies (ICETST) pp. 1 - 6
Main Authors Hamid, Anaum, Rafi, Muhammad
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.09.2022
Subjects
ARIMA model
Female literacy
forecasting
prediction
time series
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Summary:Educated youth are a country's intellectual assets, and they may contribute greatly to its growth, advancement, and innovation. It is critical to identify and implement effective solutions to close the long-standing literacy rate difference. This study is being conducted to anticipate Pakistan's literacy rates using time series analysis. The research provides the use of the highly regarded time series modeling ARIMA modeling technique to forecast the literacy rates of females (aged 15 to 24). The findings show that the ARIMA (3,1,0) model is the best one for predicting female literacy rates. The findings also support the prediction that by 2057, female literacy in Pakistan would be 100%. In addition, the forecasted values also show that persistence and dedication to implementing effective programs and policies are necessary to reduce the disparity between male and female literacy rates, which has been declining since three to four times between 1981 and 2019.
DOI:10.1109/ICETST55735.2022.9922948