Publication: Poverty and Inequality Maps in Rural Vietnam: An Application of Small Area Estimation
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Date
2010
ISSN
13513958
Published
2010
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The objective of the present paper is to estimate poverty and inequality for rural Vietnam at different levels of aggregation by combining the Vietnam Household Living Standard Survey from 2006 and the Rural Agriculture and Fishery Census from the same year. Using the small area estimation method, estimates at the regional, provincial and district level are produced, and both expenditure and income based measures are considered. It is found that all provinces across the country have experienced a noticeable reduction in rural poverty during the period 1999-2006. Some of the largest reductions in poverty are observed for provinces with poverty rates close to the national average. The poorest provinces are experiencing reductions in poverty, albeit at a more modest pace. Provinces and districts with a larger poverty reduction in the period 1999-2006 tended to have a lower level of inequality in 2006. Results based on expenditure poverty estimates are found to be very similar to those based on income poverty estimates.
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Publication Poverty and Inequality Maps for Rural Vietnam : An Application of Small Area Estimation(2010-10-01)The objective of the paper is to update the small area estimates of poverty and inequality for rural Vietnam. The new estimates of province and district level poverty for the year 2006, when combined with estimates available for 1999, allow for examination of how poverty has changed in rural Vietnam over the past seven years. The analysis finds that all provinces across the country experienced a noticeable reduction in rural poverty during the period 1999-2006. Some of the largest reductions in poverty are observed for provinces with poverty rates close to the national average. The poorest provinces have also experienced reductions in poverty, albeit at a more modest pace. Provinces and districts with lower levels of inequality in 2006 have seen above average poverty reductions. 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Since migration income is a potential substitute for farm income, we present counterfactual scenarios of what rural income, poverty, and inequality would have been in the absence of migration. Our results show that, by providing alternatives to households with lower marginal labor productivity in agriculture, migration leads to an increase in rural income. In contrast to many studies that suggest that the increasing share of nonfarm income in total income widens inequality, this article offers support for the hypothesis that migration tends to have egalitarian effects on rural income for three reasons: (1) migration is rational self-selection--farmers with higher expected return in agricultural activities and/or in local nonfarm activities choose to remain in the countryside while those with higher expected return in urban nonfarm sectors migrate; (2) households facing binding constraints of land supply are more likely to migrate; (3) poorer households benefit disproportionately from migration.Publication How Good Is a Map? Putting Small Area Estimation to the Test(2008)This paper examines the performance small area of welfare estimation. The method combines census and survey data to produce spatially disaggregated poverty and inequality estimates. To test the method, predicted welfare indicators for a set of target populations are compared with their true values. The target populations are constructed using actual data from a census of households in a set of rural Mexican communities. Estimates are examined along three criteria: accuracy of confidence intervals, bias and correlation with true values. We find that while point estimates are very stable, the precision of the estimates varies with alternative simulation methods. Precision of estimates is shown to diminish markedly if unobserved location effects at the village level are not well captured in underlying consumption models. With well specified models there is only slight evidence of bias, but we show that bias increases if underlying models fail to capture latent location effects.Publication Migration in Vietnam(World Bank, Hanoi, 2015-11)The authors investigate determinants of individual migration decisions in Vietnam, a country with increasingly high levels of geographical labor mobility. Using data from the Vietnam Household Living Standards Survey (VHLSS) of 2012, the authors find that probability of migration is strongly associated with individual, household and community-level characteristics. The probability of migration is higher for young people and those with post-secondary education. Migrants are more likely to be from households with better-educated household heads, female-headed households, and households with higher youth dependency ratios. Members of ethnic minority groups are much less likely to migrate, other things equal. Using multinomial logit methods, we distinguish migration by broad destination, and find that those moving to Ho Chi Minh City or Hanoi have broadly similar characteristics and drivers of migration to those moving to other destinations. The authors also use VHLSS 2012 together with VHLSS 2010, which allows us to focus on a narrow cohort of recent migrants, those present in the household in 2010, but who have moved away by 2012. This yields much tighter results. For education below upper secondary school, the evidence on positive selection by education is much stronger. However, the ethnic minority ‘penalty’ on spatial labor mobility remains strong and significant, even after controlling for specific characteristics of households and communes. This lack of mobility is a leading candidate to explain the distinctive persistence of poverty among Vietnam’s ethnic minority populations, even as national poverty has sharply diminished.
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