Estimating poverty transitions in Mozambique using synthetic panels: A validation exercise and an application to cross-sectional survey data

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In this paper we first validate the use of the synthetic panels technique in the context of the 2014/15 intra-year panel survey data for Mozambique, and then apply the same technique to the 1996/97, 2002/03, 2008/09, and 2014/15 cross-sectional household budget surveys for the same country. We find that in most analyses poverty rates and poverty transitions estimated using synthetic panels provide results that are close to the true values obtained using the 2014/15 panel data. With respect to intra-year poverty dynamics, we find that Mozambique has a high intra-year variability in consumption and poverty, and a very high degree of intra-year poverty immobility, with a big portion of the population remaining either in poverty or out of poverty over the whole year, with smaller percentages of individuals moving upward or downward. With respect to the 1996/97, 2002/03, 2008/09, and 2014/15 cross-sectional surveys, our results suggest that in most year-to-year comparisons there is a greater proportion of people getting out of poverty than falling into poverty, consistent with the poverty-reduction process observed, but the percentage of people staying in poverty over time appears to be substantially higher, involving about one-third of the population in most years. Further analyses on the 2008/09 and 2014/15 surveys estimate that for an individual who was in the vulnerable group in 2008/09, there is a 60 per cent probability of remaining in the same group, whereas the probability of becoming non-vulnerable is lower than the probability of entering poverty. This constitutes the first attempt to provide an insight into poverty dynamics in Mozambique using all the available survey data.

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• ISBN: 978-92-9256-964-8
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: WIDER Working Paper ; No. 2021/26

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Model Evaluation, Validation, and Selection ; Forecasting Models; Simulation Methods ; Measurement and Analysis of Poverty
• Thema: poverty dynamics ; poverty transitions ; Mozambique ; synthetic panels

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Salvucci, Vincenzo ; Tarp, Finn
• Ereignis: Veröffentlichung
• (wer): The United Nations University World Institute for Development Economics Research (UNU-WIDER)
• (wo): Helsinki
• (wann): 2021

Weitere Informationen

• DOI: doi:10.35188/UNU-WIDER/2021/964-8
• Handle: http://hdl.handle.net/10419/243352