Analysis Of Unemployed Youth In Indonesia By Panel Data Regression with Moderating Variable Sri Subanti (a*), Nabila Tri Amanda (b)
a) Study program of Statistics, Universitas Sebelas Maret, Surakarta, Central Java, Indonesia
*sri_subanti[at]yahoo.co.id
b) Study program of Statistics, Universitas Sebelas Maret, Surakarta, Central Java, Indonesia
Abstract
Indonesia is entering the era of demographic bonus with the productive age dominating the population. Productive age is the main focus of the government in maximizing the demographic dividend, but Indonesia has the highest percentage of NEET in Asia. Not in employment, education or training (NEET) are young people with ages 15 - 24 years old who do other activities outside of school, work or training. This study aims to analyze young NEET in Indonesia using panel data analysis with moderate regression analysis. The research data used were obtained from the employment book and the website of Badan Pusat Statistik Indonesia, in the form of 34 cross section data with a span of 5 years as time series data. The dependent variable is NEET with 5 independent variables including Human development index (HDI), the open unemployment rate, labor force participation rate, proportion of individuals who own mobile phone, and proportion of informal employment. The moderating variable in this study is the proportion of youth aged 15-24 years old with information technology and computer skills (ICT) skills. The selected model in regression analysis panel data is fixed effect model (FEM) with R-square of 92.75% with 4 significant dependent variables. Moderating variables the proportion of adolescents and adults with ICT skills moderates the relationship of NEET with its independent variables. Moderate Regression Analysis increased the R-square value of the model to 94.19%.
Keywords: Not In Employment Education Or Training- Moderating- Panel Data Regression
