Open AccessModeling of Human Development Index in Papua Province Using Spline Smoothing Estimator in Nonparametric Regression
Author(s) -
Dyah Rahmawati,
I Nyoman Budiantara,
Dedy Dwi Prastyo,
Made Ayu Dwi Octavanny
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1752/1/012018
Subject(s) - smoothing spline , human development index , nonparametric statistics , estimator , nonparametric regression , smoothing , econometrics , regression , statistics , population , mathematics , human development (humanity) , regression analysis , geography , economics , demography , economic growth , bilinear interpolation , spline interpolation , sociology
The development goal of a country must be focused on the quality of human life to achieve prosperity. One important indicator for measuring the success of a country’s development is the Human Development Index (HDI). In 2018, Papua was the province with the lowest HDI in Indonesia. Special attention is needed to improve HDI in Papua Province, one of them is by paying attention to the variables that affect HDI such as population growth rate, percentage of poor population, and economic growth. The relationships between HDI and the predictor variables do not have a clear pattern and tend to change at certain subintervals. This case can be approached using Spline Smoothing in multivariable nonparametric regression. Spline Smoothing is a type of estimator in nonparametric regression that has an excellent ability to handle data that tend to change at certain subintervals. Therefore, the purposes of this study are to obtain the form of Spline Smoothing estimator function in multivariable nonparametric regression, estimate the function and apply it to the HDI in Papua Province. The empirical results of modeling HDI in Papua Province show that it can be adequately applied which gives GCV = 58.108, R 2 = 99.77% and RMSE = 0.0505.