Estimating poverty among refugee populations: a cross-survey imputation exercise for Chad

Beltramo, Theresa; Dang, Hai-Anh; Sarr, Ibrahima; Verme, Paolo

doi:10.1080/13600818.2024.2313216

Oxford Development Studies

2024

DOI: 10.1080/13600818.2024.2313216

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Estimating poverty among refugee populations: a cross-survey imputation exercise for Chad

Theresa Beltramo,

Hai-Anh Dang,

Ibrahima Sarr

et al.

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2024

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Cited by 3 publications

References 19 publications

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Poverty Imputation in Contexts Without Consumption Data: A Revisit With Further Refinements

Dang,

Kilic,

Abanokova

et al. 2024

Review of Income and Wealth

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Survey‐to‐survey imputation has been increasingly employed to address data gaps for poverty measurement in poorer countries. We refine existing imputation models, using 14 multi‐topic household surveys conducted over the past decade in Ethiopia, Malawi, Nigeria, Tanzania, and Vietnam. We find that adding household utility expenditures to a basic imputation model with household‐level demographic and employment variables provides accurate estimates, which even fall within one standard error of the true poverty rates in many cases. The proposed imputation method performs better than several commonly used multiple imputation and machine learning techniques. Further adding geospatial variables improves accuracy, as does including additional community‐level predictors (available from data in Vietnam) related to educational achievement, poverty, and asset wealth. Yet, within‐country spatial heterogeneity exists, with certain models performing well for either urban areas or rural areas only. These results offer cost‐saving inputs into future survey design.

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Poverty Imputation in Contexts Without Consumption Data: A Revisit With Further Refinements

Dang,

Kilic,

Abanokova

et al. 2024

Review of Income and Wealth

View full text Add to dashboard Cite

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Using Cross-Survey Imputation to Estimate Poverty for Venezuelan Refugees in Colombia

Sarr,

Dang,

Gutierrez

et al. 2024

SSRN Journal

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Efectos del canon y regalías en la pobreza extrema por regiones en el Perú

Huacani Sucasaca,

De La Cruz Huanca,

Gutiérrez Mayta

et al. 2024

Impulso

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La pobreza es la falta de recursos económicos y materiales para satisfacer necesidades básicas personas. El objetivo fue evaluar el efecto del canon y regalías en la pobreza extrema por regiones en el Perú de 2012-2022. Se identificaron y recopilaron de datos del Banco Central de Reserva. El análisis se centró en tres regiones. Se aplicó modelos econométricos utilizando mínimos cuadrados ordinarios. Se utilizaron los valores de p y R-cuadrado para su validación. El análisis utilizó el software E-Views. La pobreza extrema en la región costa disminuyó entre 2012 y 2019, pero aumentó en 2020 debido a la pandemia. En la Sierra fue 6 a 9 veces mayor que en la costa. En la Selva fue menor que en la sierra y mayor que en la costa. Los modelos presentaron R-cuadrado elevados que indica excelente ajuste. El canon y regalías reducen significativamente la pobreza extrema en el Perú por regiones.

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Estimating poverty among refugee populations: a cross-survey imputation exercise for Chad

Cited by 3 publications

References 19 publications

Poverty Imputation in Contexts Without Consumption Data: A Revisit With Further Refinements

Poverty Imputation in Contexts Without Consumption Data: A Revisit With Further Refinements

Using Cross-Survey Imputation to Estimate Poverty for Venezuelan Refugees in Colombia

Efectos del canon y regalías en la pobreza extrema por regiones en el Perú

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