Descriptive Analysis Of Migration

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Data Sources and Descriptive Analysis
This paper extracts large datasets from several sources during the period 2009-2010. Given the availability of the data, the analysis is carried out at the district level which covers 497 districts in total. The data on internal migration come from the 2010 Population Census published by Statistics Indonesia (BPS). It should be noted that our measure of migration represents the inflow (in) of internal migrants from a district or a province to a certain district. Specifically, this consists of two measures: lifetime migration and recent migration. The former is measured by the proportion of people who reside in a different region than their birth region, whereas the latter is identified as the fraction of
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The charts exhibit an inverted U-shaped form for the three migration measures. The exceptional case is for the relationship between the inflow of recent migration and the dose of the ownership of crude oil, showing a U-shaped pattern. The general impression from these findings is that high and low levels of natural resource endowments do not appear to give a substantial stimulus for the inflow of migrants. Conversely, a mediocre dose of natural resource wealth is associated with the largest inflow of…show more content…
A one percent increase in the proportion of married adults leads up to 0.56% increase in the rate of lifetime migration. In contrast, marriage does not significantly affect recent migration. Although we do not have exact data showing that marriage is one of the main reasons to migrate, this econometric exercise offers prima facie evidence about the relevance of marriage migration in Indonesia. That the primary goals of migration are to join the spouse and to form a family. Research on internal migration and marriage is small indeed. An outstanding contribution to this field is the paper of Rosenzweigh and Stark in 1989, arguing that internal migration in India, especially female migration, is an instrument to smooth the consumption of households against negative income shocks.
Having longer schooling years substantially boosts migration. The magnitude of the coefficients is large, close to the half of our treatment effect variables. If schooling is deemed to be a rational device to secure jobs and obtain better income, prospective migrants will overinvest in education prior to migrating (Kochar, 2004). We also note the triviality of our health

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