Skripsi

ANALISIS REGRESI DATA PANEL PADA FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT KEMISKINAN DI PROVINSI SUMATERA SELATAN TAHUN 2016-2019

---

Penilaian

---

South Sumatra Province has a poverty rate above the national poverty level, so poverty alleviation measures are needed, such as analyzing the factors that influence poverty. This study aims, firstly, to find out the best estimation of the panel data regression model. The second objective is to find out the effect of the unemployment rate, population growth rate, Human Development Index (HDI), average length of schooling, per capita expenditure figures, life expectancy, and Gross Regional Domestic Product (GRDP) on the poverty rate in 2016-2019 in the District. / City of South Sumatra Province. The third objective is to know the general description of the problem of poverty in South Sumatra. This research uses the panel data regression method, which is a method that combines two types of data, namely individual data and time-series data. Panel data regression has three methods, namely Comment Effects model (CEM), Fixed Effects Model (FEM), and Random Effects Model (REM), these three approaches will be selected through testing namely Chow Test, Hausman Test, and Breusch-Food Test. From the results of the research that has carried out the three tests, it is found that the Random Effects Model (REM) method is the best method in explaining poverty data in South Sumatra Province. The estimation of the Random Effects Model (REM) method states that there are only 4 independent variables that affect poverty, namely the unemployment rate, HDI, population growth rate, and GRDP of these variables able to explain the poverty rate of 76.05%. The model obtained from the REM method is as follows: Y_it=-3,54×〖10〗^(-07)+0,055X_1it-0,371X_3it+0,158X_4it-0,06X_7it. Keywords: Poverty Rate, Panel Data Regression, Random Effects Model (REM).

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2107003419	T54546	T545462021	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T545462021

Publisher

Inderalaya : Prodi Ilmu Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam., 2021

Collation

xiv, 80 hlm,: ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

518.07

Content Type

Text

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Analisis numerik
Prodi Ilmu Matematika

Specific Detail Info

-

Statement of Responsibility

MURZ

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment