CD Tesis

Penerapan Metode Dekomposisi Blinder-Oaxaca Untuk Menganalisa Kesenjangan Pengangguran Antar Gender Di Provinsi Riau Tahun 2022

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PUJI WAHYU WIDAYATI, NIM 2210246772, Application of the Blinder-Oaxaca Decomposition Method to Analyze Unemployment Gaps Between Genders in Riau Province in 2022, supervised and proctoring by Harlen and Yusni Maulida.
Gender equality is one of the goals in the Sustainable Development Goals. Gender equality is measured using the Gender Inequality Index (GII) from UNDP. In Indonesia, the Gender Inequality Index (IKG) is used. The IKG value in Indonesia in 2022 is 0.46 while in Riau Province it is 0.47, this means that development failure in Riau Province is 47 percent. One of the indicators for compiling the Gender Inequality Index is the Labor Force Participation Rate. The labor force that cannot be absorbed in the job market can be seen in the open unemployment rate. The male open unemployment rate is still lower than the female unemployment rate, even though the TPAK of women is much lower than that of men. The disparity in the open unemployment rates for men and women makes researchers interested in looking at the causes. So the problem formulation in this research is (1) What is the general picture of male and female unemployment in Riau Province in 2022? (2) How does age, marital status, number of family members, area of residence, household income and education influence male and female unemployment in Riau Province in 2022? (3) How big is the unemployment gap between genders and what factors will determine this gap in Riau Province in 2022? Based on the problem formulation, this research aims to (1) Analyze the condition of unemployment of men and women in Riau Province in 2022. (2) Analyze the relationship and extent of age, marital status, number of family members, area of residence, income household and education influence male and female unemployment in Riau Province in 2022. (3) Analyze the unemployment gap between genders that occurs in Riau Province in 2022 and what factors determine this gap.
To achieve the research objectives, the method used in this research is descriptive analysis, probit regression analysis to determine the relationship between the independent variable and the dependent variable, the analysis continues with marginal effects to determine how much the independent variable influences the dependent variable and uses the Oaxaca blinder decomposition method. to examine the unemployment gap between genders that occurs.
The result is that in general male unemployment is smaller than that of women. The characteristics of unemployment studied between men and women have similar conditions where the highest number of unemployed people are aged 15-24 years, individuals who are not yet married, the number of household members is 4-6, and the equivalent is high school education. Meanwhile, in terms of area of residence, the majority of male unemployed are in urban areas, while the majority of female unemployed are in rural areas. The independent variables consisting of age, marital status, number of family members, area of residence, household income and education have a significant effect on the probability of being unemployed for both men and women at a significance level of 5%. If we differentiate between men and women, then for women there is one variable that is not significant, namely the area of residence.
Analysis with marginal effects shows that the variable that has the greatest influence is marital status which will reduce a person's probability of being unemployed by 4.76 percent. Meanwhile, the number of household members actually has a positive effect on a person's probability of being unemployed. If we separate men and women, we get the same results, where the biggest influence is on marital status. However, the influence on men is greater than on women.
Blinder Oaxaca decomposition shows that there is an unemployment gap between men and women in Riau Province of 1.42 percent higher than women. Of this value, 29.88 percent can be explained by differences in the characteristics of women and men, while 70.12 percent is caused by discrimination or unobserved factors.
Marital status is a variable that exacerbates the unemployment gap between men and women in unemployment. Meanwhile, the number of household members and household income can actually reduce the unemployment gap. There are three variables that are not significant, namely age, area of residence and highest level of education.


Key words: gender; labor; unemployment; decomposition.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2210246772

Penerbit

Pekanbaru : Universitas Riau Pascasarjana Tesis Ilmu Ekonomi., 2024

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2210246772

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

ILMU EKONOMI

Info Detail Spesifik

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Pernyataan Tanggungjawab

Melda

Versi lain/terkait

Lampiran Berkas

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