2018
DOI: 10.15294/jejak.v11i2.16125
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Government’s Cash Transfers And School Dropout In Rural Areas

Abstract: Indonesia is committed to education but the Government of Indonesia still struggle with dropout problem at upper secondary school level, especially students from rural areas who dropping out of school before graduating. The dropout events can be explained through the demand for education. In 2008 Government of Indonesia introduced Bantuan Siswa Miskin program, the Cash Transfers for Poor Students (recently is known as Kartu Indonesia Pintar), in order to reduce numbers of dropouts. The program is mainly to cov… Show more

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“…Based on Table 3, all control variables significantly affected the probability of schooling sustainability for the population aged 7-18. Control variables in the 13-15 and 16-18 age groups were shown to have negative effects (Kuno et al, 2021), male gender had a negative effect (Kuno et al, 2021;Megawati, 2020), having disabilities had a negative effect (Kuno et al, 2021;Mizunoya et al, 2018), acceptance of PIP has a positive effect (Setyadharma, 2018;Susilo & Wahyudi, 2020;Uriyalita et al, 2020), secondary and higher level of household head's education had a positive effect (Ampristi & Setiadi, 2019;Agustina, 2021;Kameyama, 2021), the primary employment of the household head being in a non-agricultural sector had a positive effect (Ampristi & Setiadi, 2019;Farah & Upadhyay, 2017), increasing number of household members had a negative effect (Abuya et al, 2019;Huy, 2018), urban area had a positive effect (Hakim, 2020;Hidayatina & Garces-Ozanne, 2019), and increasing the percentage of villages that have schools had a positive effect on the probability of schooling sustainability (Hidayatina & Garces-Ozanne, 2019;Yahia et al, 2018).…”
Section: Resultsmentioning
confidence: 94%
“…Based on Table 3, all control variables significantly affected the probability of schooling sustainability for the population aged 7-18. Control variables in the 13-15 and 16-18 age groups were shown to have negative effects (Kuno et al, 2021), male gender had a negative effect (Kuno et al, 2021;Megawati, 2020), having disabilities had a negative effect (Kuno et al, 2021;Mizunoya et al, 2018), acceptance of PIP has a positive effect (Setyadharma, 2018;Susilo & Wahyudi, 2020;Uriyalita et al, 2020), secondary and higher level of household head's education had a positive effect (Ampristi & Setiadi, 2019;Agustina, 2021;Kameyama, 2021), the primary employment of the household head being in a non-agricultural sector had a positive effect (Ampristi & Setiadi, 2019;Farah & Upadhyay, 2017), increasing number of household members had a negative effect (Abuya et al, 2019;Huy, 2018), urban area had a positive effect (Hakim, 2020;Hidayatina & Garces-Ozanne, 2019), and increasing the percentage of villages that have schools had a positive effect on the probability of schooling sustainability (Hidayatina & Garces-Ozanne, 2019;Yahia et al, 2018).…”
Section: Resultsmentioning
confidence: 94%