Ethnic identity and internal migration decision in Indonesia

This study examines the roles of individual and household characteristics in internal migration in Indonesia for the first time using the five waves of Indonesia Family Life Survey. Our analysis extends previous research by using a longer period to capture mobility behaviour, by comparing changing of residence across three spatial scales, by incorporating the interaction of relation to household head and gender, and by differentiating migration involving the interaction of Sumatra, Java, other regions and ruralurban areas.The multinomial logistic regression results are consistent with international observations relating to age, education, marital status, previous migration, dependents, family size, and income. Some unique features from this study are the results which show that the probability of migrating by gender varies according to one's relation to the household head, which highlights the importance of gender and family structure in migration decision-making. Residents of Java have lower probabilities of migrating, compared to non-Java residents for smaller spatial scale migrations, but are relatively likely to engage in inter-provincial migration. Urban-originating moves are more likely than rural-originating moves for all spatial scales except for Sumatra where its rural residents have a higher probability of migrating inter-provincially than its urban residents.

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“…Notes 1. To date, there is a migration study by Auwalin (2019) using the first four waves of IFLS. 2.…”

Section: Discussionmentioning

confidence: 99%

Internal migration in Indonesia: new insights from longitudinal data

Pardede

McCann

Venhorst

2020

Asian Population Studies

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“…The IFLS 4 had surveyed about 30.000 respondents on various socio-economic and sociodemographic variables at the individual, family, household and community level in which they live, and includes education and employment [18,19]. The IFLS data is considered still relevan to date and there have been many studies conducted using IFLS data [20][21][22][23]. Student academic achievement data obtained from the IFLS is still relevant compared to student academic achievement data from The Ministry of Education and Culture [24].…”

Section: Research Methods 21 Data Setmentioning

confidence: 99%

The impact of sociodemographic factors on academic achievements among high school students in Indonesia

Indrahadi

Wardana

2020

IJERE

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<span>This study aimed to examine the effect of sociodemographic, student and school factors on the academic achievement of high school students in Indonesia. Using the cross-sectional survey data from the 2015 Indonesian Family Life Survey (IFLS) particularly involving 1,421 respondents (of the academic performances during their school years), the study run multiple regression analysis to examine the influences of their parents’ sociodemographic, students and other school-related factors on their academic achievements during their school years. As the results, it was revealed that the sociodemographic factors, students and schools predict significantly academic achievement of students in Indonesia. The results provided feedback to students and parents, schools and education policymakers in improving student academic achievement.</span>

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“…In the context of the upward trends in migration flows, studying ethnic marriage pairing gives us a unique window into the changing conditions of marriage markets and the changing nature of intergroup relations in Indonesia and contributes to the burgeoning literature in this field (see Auwalin, 2019; Bazzi, Gaduh, Rothenberg, & Wong, 2019). However, it should be noted that because of the nature of the data collection, from our multivariate model of endogamy we cannot infer causality from migration because we did not have information on age at marriage and precise age at migration.…”

Section: Discussionmentioning

confidence: 99%

Internal migration, group size, and ethnic endogamy in Indonesia

Utomo

McDonald

2020

Geographical Research

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Much of the literature on assortative mating has centred on the social contexts of immigrant‐receiving countries in the West. This article examines ethnic assortative mating (endogamy) against rising volumes and intensity of migration within a multi‐ethnic lower middle‐income country. We used full enumeration data from the 2010 Indonesian Population Census to create a national dataset of husband–wife pairs (n = 47.8 million couples), and five subsets of married couples from provinces with the highest proportion of lifetime migrants: Riau, Riau Islands, Jakarta, East Kalimantan, and West Papua (n = 4.05 million). First, we examined the association between migration, group size, and endogamy at the provincial level. We found a negative association between internal migrant stock and endogamy across 33 provinces in Indonesia. Using endogamy as a proxy of the strength of ethnic boundaries, we have shown that accounting for group size at the provincial level changes the overall ranking of endogamy among ethnic groups. Second, drawing on the subsets of couples in the five provinces with the highest proportion of migrants in their population, we used multivariate analysis to examine how migration status correlates with the likelihood of endogamy at the individual level. Controlling for sex, group size, age, education, and religion, we found that the relationship between an individual's migration status and endogamy varies across the five provinces, reflecting the different nature and history of migration, and the ethno‐religious composition in these regions.

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Ethnic identity and internal migration decision in Indonesia

Cited by 19 publications

References 36 publications

Internal migration in Indonesia: new insights from longitudinal data

Internal migration in Indonesia: new insights from longitudinal data

The impact of sociodemographic factors on academic achievements among high school students in Indonesia

Internal migration, group size, and ethnic endogamy in Indonesia

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