Sustainability of Women’s Employment Rate for Malaysian Economic Development

A. Khin, M.P Low, M. S. Sin, Seethaletchumy Thambiah, Sorokina N Yu
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Abstract

This research paper develops a model for the sustainability of women’s employment rate in Malaysia’s economic development. This study examined annual data from 1982 to 2018, with 37 observations. A new econometric method was adopted to determine both short-run and long-run relationships among the variables using the Johansen Cointegration rank test, Vector Error Correction Method (VECM) with error correction model of cointegration equation. The VECM results revealed significant and positive short-term relationships between foreign direct investment, gross domestic product (GDP), and the negative short-term relationship of the lagged period of women’s employment rate to women employment rate (WER). The variables, GDP, education level, and women’s marital status are cointegrated and have a long-term relationship between WER in the cointegration equation. The Johansen Cointegration rank test also showed the existence of cointegration equations, and a long-term relationship between the variables. Eventually, the residual diagnosis, significant error term, and the performance of the model evaluation were found as satisfactory and valid. In short, this research paves the way for policymakers to construct a better policy for the future of women’s employment sustainability.
妇女就业率对马来西亚经济发展的可持续性
本研究论文为马来西亚经济发展中妇女就业率的可持续性开发了一个模型。这项研究检查了1982年至2018年的年度数据,共进行了37次观察。采用新的计量经济学方法,利用Johansen协整秩检验确定变量之间的短期和长期关系,采用协整方程误差修正模型的向量误差修正法(VECM)。VECM结果显示,外国直接投资与国内生产总值(GDP)之间存在显著的短期正相关关系,而女性就业率滞后期与女性就业率(WER)之间存在短期负相关关系。在协整方程中,GDP、受教育程度和女性婚姻状况这三个变量是协整的,并且在WER之间存在长期关系。Johansen协整秩检验也显示协整方程的存在,变量之间存在长期关系。最终,残差诊断、显著误差项和模型评估的性能均令人满意和有效。总之,本研究为政策制定者构建更好的未来妇女就业可持续性政策铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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