International Journal of Entrepreneurship (Print ISSN: 1099-9264; Online ISSN: 1939-4675)


An Arima Forecasting Approach to Evaluate the Scenario of Male and Female Higher Education

Author(s): Uzma Khan

Objectives: This study is based on predicting the scenario of higher education systems, particularly graduates, in terms of gender. The objective is to evaluate both graduates' consequences on economic development through the unemployment rate in Saudi Arabia.

Methods/Analysis: This study used the ARIMA forecasting model (p, d, q) on yearly data from 1996-2018 to forecast for another seven years, i.e., till 2025 to evaluate the graduates and their unemployment.

Findings: The ARIMA forecasting indicates that female graduates have outnumbered male graduates, and the high number of female graduates and their unemployment rate has presented a threat to policymakers. Novelty/Improvement: This paper is an effort to shed light on the Kingdom's education policies and their impact on economic development by studying the unemployment rate to create a concrete policy for the next generation.

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