Application of multinomial logit regression in social demographic impact on youth participation to work, attend school, and other activities in Java Sri Subanti (a*), Arif Rahman Hakim (b), Winita Sulandari(c), Etik Zukhronah(d), Isnandar Slamet (e), Sugiyanto(f), Irwan Susanto(g), Dewi Ayu Prastiwi(h)
(a) Department of Statistics, Universitas Sebelas Maret, Surakarta, Indonesia
*sri_subanti[at]yahoo.co.id
(b) Department of Economics, Universitas Airlangga, Surabaya, Indonesia
(c) Department of Statistics, Universitas Sebelas Maret, Surakarta, Indonesia
(d) Department of Statistics, Universitas Sebelas Maret, Surakarta, Indonesia
(e) Department of Statistics, Universitas Sebelas Maret, Surakarta, Indonesia
(f) Department of Statistics, Universitas Sebelas Maret, Surakarta, Indonesia
(g) Department of Statistics, Universitas Sebelas Maret, Surakarta, Indonesia
(h) Department of Statistics, Universitas Sebelas Maret, Surakarta, Indonesia
Abstract
Indonesia has a big youth population those are 28 percent from the whole population. This will be a distinct advantage for Indonesia because youth generations are the development targets. Moreover, Indonesia in 2045 is predicted to experience the demographic dividend where the productive population will appear in large numbers. This opportunity must be utilized by the Indonesian government by preparing the human capital competent, through education and training. The population of productive age can boost the income of our country so that if the potential of youth is involved in the country^s development, it will certainly be able to improve the country^s economy. One important factor in improving the quality of human capital is education. Java Island is one of islands with the largest population in Indonesia, so Java Island certainly contributes a lot to the productive population in Indonesia. Therefore, the multinomial logit regression model will be used to identify the impact of social demographic factors on youth participation to work, attend school, or others in Java. One of the social demographic factors that show the impact of demographic variables on the participation of young individuals to attend school compared to other activities is the number of household members.
