The Fifth Wave of the Indonesia Family Life Survey: Overview and Field Report: Volume 1

Strauss, John; Witoelar, Firman; Sikoki, Bondan

doi:10.7249/wr1143.1

Cited by 371 publications

(623 citation statements)

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“…The initial observation of IFLS 1993 was over 30,000 individuals in over 7000 households. The latest IFLS (conducted in 2014) covers around 50,000 individuals in around 16,000 households (Strauss et al 2016). Although this is a large sample, it is not large enough to study migration distinguished by type of origin combined with type of destination.…”

Section: Data Variables and Methodsmentioning

confidence: 99%

Inter-regional migration in Indonesia: a micro approach

2017

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We study the extent to which the likelihood of specific types of migration in Indonesia varies by the situation in the labour market and family life course. We distinguish migration types according to origin and destination (Jakarta, other metropolitan areas, and non-metropolitan areas). For migration from Jakarta, we also distinguish migration to other metropolitan areas within commuting distance. As expected, we find that young adults are the most mobile category. As an exception, migration from Jakarta to nearby metro areas was just as likely for ages 30-54 as for ages 23-29. Our findings suggest that migration to Jakarta and other metropolitan areas, in particular, is most likely undertaken for better education or jobs. Married people are more likely than others to leave Jakarta for nearby metropolitan areas.

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Section: Data Variables and Methodsmentioning

confidence: 99%

Inter-regional migration in Indonesia: a micro approach

2017

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“…11 In this study we link community-level data on implementation of the supplementary feeding program from 1998 onward with individual-level data on health and nutritional status of children. Information on the PMT program is found in the Safety Nets module of the IFLS 2000 community questionnaire, which was filled out for 303 communities, as opposed to 311 for the basic community module (Strauss et al, 2009). Of these, we exclude three communities in which we do not observe valid height-for-age z-scores for treatment age children.…”

Section: Evaluation Of the Pmt Using The Indonesian Family Life Surveymentioning

confidence: 99%

Protecting child nutritional status in the aftermath of a financial crisis: Evidence from Indonesia

Giles

Satriawan

2015

Journal of Development Economics

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“…The data for this paper come from the fifth wave of the Indonesia Family Life Survey (IFLS) (see Strauss, Sikoki and Witoelar, 2016) and the third wave of the China Health and Retirement Longitudinal Study (CHARLS) (CHARLS, 2017).…”

Section: Datamentioning

confidence: 99%

“…We then report regressions, focusing on the elderly, but run the same regressions for the 45-59 age group, which are reported in the Appendix. Figures are not weighted, but all regressions are, with cross-section sample weights that are corrected for non-response (see Zhao et al, 2013 andStrauss et al, 2016, for details on construction of these weights). Figure 4a, that men score higher than women, and the difference is larger for older respondents.…”

Section: Gender and Ses Gradients Of Cognition Measuresmentioning

confidence: 99%

Cognition and SES Relationships Among the Mid-Aged and Elderly: A Comparison of China and Indonesia

Strauss¹,

Witoelar²,

Meng³

et al. 2018

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In this paper, we use a measure of fluid intelligence, an adaptive number series test, to measure that part of cognition for respondents in two developing countries: China and Indonesia, both with very low educated elderly populations. This test was specially adapted by us and our collaborators from measures used in the United States to better fit such populations. We also use a measure of episodic memory and one measuring mental state intactness and examine their distributions and then the socio-economic gradients associated with each, concentrating on gender differences and how those change as SES and variables measuring community development are added.We find large variation in our cognition measures in both countries, even among those 60 and over with no schooling. We explore the bivariate socio-economic gradients for these measures, separately for different age groups: 45-59 and 60 and above. We find strong gender, education and rural-urban gradients. Of these, the education gradient is the strongest, followed by the ruralurban gradient. China has a stronger rural-urban gradient than Indonesia, which is associated with the hukou residential permit system in China.We find a significant, negative multivariate differential for women, that is significantly larger in China than Indonesia. The gender differential in both countries is smaller for the mid-aged, 45-59, for whom the gender schooling differentials are smaller. The gender differential declines substantially, and the China-Indonesia differential disappears once we control for SES characteristics. Adding community measures related to mean schooling and asset levels does not affect the gender differential.Schooling levels are monotonically and significantly related to higher levels of cognition for all three of the variables we use. The magnitudes of the schooling coefficients are relatively large. Higher log of household per capita expenditure (pce) is positively associated with cognition, more so in China. Other SES characteristics such as height, are also positively related to the cognition measures, again more strongly so in China. Rural respondents have substantially lower levels of cognition measures, with a significantly stronger gradient in China. Mean community level schooling and log pce are also positively related to cognition outcomes, especially for elderly women.

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The Fifth Wave of the Indonesia Family Life Survey: Overview and Field Report: Volume 1

Cited by 371 publications

References 0 publications

Inter-regional migration in Indonesia: a micro approach

Inter-regional migration in Indonesia: a micro approach

Protecting child nutritional status in the aftermath of a financial crisis: Evidence from Indonesia

Cognition and SES Relationships Among the Mid-Aged and Elderly: A Comparison of China and Indonesia

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