Pravitasari, Clalisca
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THE IMPACT OF MIGRATION ON THE WAGE DISTRIBUTION IN INDONESIA Pravitasari, Clalisca
AFEBI Economic and Finance Review Vol. 3 No. 2 (2018): December
Publisher : Asosiasi Fakultas Ekonomi dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47312/aefr.v3i2.645

Abstract

Research on the impact of migration on workers' wages in destination areas has long been debated in the literature. However, studies that link migration to wage rates in different percentiles along the distribution have not been widely implemented, as migration does not have the same impact on wage levels in all groups of workers. By establishing a counterfactual using the semi-parametric DFL method of National Labor Force Survey data, this study found that migration promotes changes in the distribution of wages, especially in the upper and lower percentiles. After controlling the magnitude of in-migration in each percentile group by using the ordinary least square method, this study also proves that migration leads to wage decreasing in percentile groups where migrant workers are overrepresented, which is in the 75th and 90th percentile groups. Meanwhile, no negative impacts were found on wage levels in the lower middle percentile. In fact, migration has proven to encourage an increase in the average wage of workers in the lowest percentile of the distribution. JEL Classification: J01, J11, J61 Keywords: counterfactual, migration, wage distribution
IMPACT OF COVID-19 ON FEMALE WORK PARTICIPATION IN INDONESIA: WHO IS MORE AFFECTED? Pravitasari, Clalisca; Nahar, Faiza Husnayeni
Jurnal Ilmu Ekonomi dan Pembangunan Vol 22, No 2 (2022): Jurnal Ilmu Ekonomi dan Pembangunan
Publisher : EP FEB UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jiep.v22i2.52120

Abstract

This study aims to analyze the impact of Covid-19 on female work participation in Indonesia. Using microdata from the August 2020 National Labor Force Survey (Sakernas) conducted by the Central Statistics Agency, the study measures the impact through three indicators: unemployment, temporary non-working status, and reduced working hours. The survey included a sample size of 793,202 individuals aged 15 and over. Findings reveal that female workers are more likely to experience reduced working hours compared to male workers. These results highlight the disproportionate effects of the pandemic on women’s employment. The study underscores the need for targeted policy interventions to support women in the labor force, ensuring their economic resilience and recovery during and after the pandemic.