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Analisis Penawaran Tenaga Kerja di Provinsi Bali Studi Tahun 2019, 2020, dan 2022 Hartania, Made Sukma; Cesarie, Herlinda Febrianti
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.2026

Abstract

The Corona Virus Disease 2019 (COVID-19) pandemic has an impact on business and labor supply. This research aims to see changes in labor supply in 2019 (before pandemic), 2020 (during pandemic), and 2022 (after pandemic). Year 2021 is not included considering that economic conditions have not fully recovered from the pandemic. The data use is Bali Province’s The National Labour Force Survey (SAKERNAS). The analytical models used in this research are multiple linear regression. Study included the inverse Mills ratio variable to eliminate selective bias which occur as a result of non-random selection of individuals in the model. The results show that there were changes in labor supply in Bali Province. The impact of increasing income during the pandemic on working hours was recorded to be lower when compared to before and after the pandemic. Pandemic shows that the economic shock that occurred affected the labor supply in Bali Province.
Club Convergence dalam Paradigma Kemiskinan di Indonesia Tahun 2007 - 2022 Syahadati, Amelia; Hartania, Made Sukma
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.2195

Abstract

Following the objectives of the Sustainable Development Goals (SDGs), poverty alleviation requires a trend of national poverty convergence to zero. This study aims to look at the convergence pattern of poverty in Indonesia's provinces and the factors that influence it. The research results show that there is no absolute convergence in grouping according to the percentage of poor people, the depth and severity of poverty index and the tendency towards club convergence. The data processing results related to the formation of group convergence noted the formation of seven groups for the percentage of poor people and the poverty depth index and two groups for the poverty severity index. Testing the ordered logit model for each group shows the significance of the influence of the initial and previous conditions of the Gini ratio, per capita expenditure and minimum cost for eliminating poverty on the formation of each convergence group.