CD Skripsi

Pemodelan Seemingly Unrelated Regression Pada Indeks Pembangunan Gender Di Provinsi Sumatera Utara Tahun 2020

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ABSTRACT
The population in North Sumatra Province consists of 14.8 million people with a male and female sex ratio of 95.60%. The disparity between women and men in North Sumatra Province is still quite high in the health, education and employment sectors. This study aims to determine the Seemingly Unrelated Regression (SUR) model on the gender development index in North Sumatra Province and determine the factors that influence it. The SUR model is a system of equations consisting of several equations that are interconnected with each other because the errors between the different equations are correlated. Ordinary Least Square (OLS) estimation can be used to estimate the parameters of each equation but the weakness of OLS can eliminate information about the possibility of a relationship between equations. SUR modeling is carried out using robust S estimation because the data used contains outliers. Based on the results of the analysis that have a significant effect on the gender development index in the male population are the sex ratio, life expectancy, and the type of education completed at the high school level, while for the female population it is the type of education completed by the senior high school level.
Keyword: Gender Development Index, Seemingly Unrelated Regression, Ordinary Least Square, Outlier, Robust S.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1803111512

Penerbit

Pekanbaru : Universitas Riau - FMIPA - STATISTIKA., 2023

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1803111512

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

STATISTIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

Deti

Versi lain/terkait

Lampiran Berkas

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