Employing Data Imputation to Track Poverty and Welfare Trends over Extended Time Periods: An Application to a Poorer Country

Hai-Anh Dang () and Cuong Viet Nguyen ()
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Cuong Viet Nguyen: National Economics University Vietnam

No 18236, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: Obtaining comparable poverty estimates over time is critical for monitoring poverty trends and informing effective poverty reduction policies. Yet hardly any developing countries could construct consistent poverty trends over extended time periods due to changes to the consumption survey questionnaires and poverty lines that reflect changing consumption patterns and living standards. Furthermore, spatial and temporal deflators could be unavailable or could have been unsystematically employed, which could result in worsening incomparability of consumption aggregates. We propose a solution to these data challenges by applying data imputation to 13 survey rounds for Viet Nam during 1993-2022. Our results provide new, comparable, and smoother estimates of poverty trends for Viet Nam. We also offer a useful case study for other similar contexts.

Keywords: poverty; living standard; poverty imputation; household surveys; Viet Nam (search for similar items in EconPapers)
JEL-codes: C15 I32 O15 (search for similar items in EconPapers)
Date: 2025-10
New Economics Papers: this item is included in nep-dev, nep-sea and nep-tra
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