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The Effect of Gender Unemployment on Economic Growth: A Panel Data Analysis

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  • Shairilizwan Taasim

    (Department of Social Science and Management Faculty of Humanities, Management and Science Author-2-Name: Adrian Daud Author-2-Workplace-Name: Universiti Putra Malaysia, Malaysia Author-3-Name: Author-3-Workplace-Name: Author-4-Name: Author-4-Workplace-Name: Author-5-Name: Author-5-Workplace-Name: Author-6-Name: Author-6-Workplace-Name: Author-7-Name: Author-7-Workplace-Name: Author-8-Name: Author-8-Workplace-Name:)

Abstract

Objective - Prior to the East ASEAN Growth Area (EAGA) in ASEAN, Brunei, Indonesia, Malaysia, and the Philippines (BIMP) took in an inflow of immigrants to support growth. The more they depended on foreign labour, the issue of gender inequality in the job sector became an issue that is hindering prosperity. Methodology/Technique - The research was aimed to identify the relation between unemployment rate from the gender perspective and economic growth of BIMP-EAGA by using two methods, namely Fully Modified Ordinary Least Square (FMOLS) and Dynamic Ordinary Least Square (DOLS). Annual time series data for the period of 1990 to 2018 was employed. Findings & Novelty - The result was contrary to Okun's law which says that there is a negative relation between the male unemployment rate and GDP. This study found that the female unemployment rate did not affect GDP and was insignificant. Policies that benefit and increase the participation of female workers in the job sector should be enhanced to prepare a conducive environment for the economy. Type of Paper - Empirical.

Suggested Citation

  • Shairilizwan Taasim, 2020. "The Effect of Gender Unemployment on Economic Growth: A Panel Data Analysis," GATR Journals jber194, Global Academy of Training and Research (GATR) Enterprise.
    • Handle: RePEc:gtr:gatrjs:jber194
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    References listed on IDEAS

    as
    1. Stefania Albanesi & Aysegul Sahin, 2018. "The Gender Unemployment Gap," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 30, pages 47-67, October.
    2. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 99-125.
    3. Lee, Grace H.Y. & Parasnis, Jaai, 2014. "Discouraged workers in developed countries and added workers in developing countries? Unemployment rate and labour force participation," Economic Modelling, Elsevier, vol. 41(C), pages 90-98.
    4. Stefania Albanesi & Aysegul Sahin, 2018. "The Gender Unemployment Gap," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 30, pages 47-67, October.
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    More about this item

    Keywords

    Labour Force; Gender; Economic Growth; BIMP;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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