2017
DOI: 10.1080/00220388.2017.1371296
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Relating Seasonal Hunger and Prevention and Coping Strategies: A Panel Analysis of Malawian Farm Households

Abstract: Relative to chronic hunger, seasonal hunger in rural and urban areas of Africa is poorly understood. This paper examines the extent and potential correlates of seasonal hunger in Malawi using panel data from 2011–2013. We find that both urban and rural households report seasonal hunger in the pre-harvest months. Certain strategies to smooth consumption, including crop storage and livestock ownership, are associated with fewer months of hunger. In addition, we find that Malawian households that experience seaso… Show more

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Cited by 27 publications
(19 citation statements)
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References 58 publications
(88 reference statements)
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“…In the context of a changing climate, the stability of food availability, access, and utilization over time is an aspect of food security that is increasingly challenged in subsistence agricultural systems [1,6,7]. Across Central America, the 'lean' or 'hungry' season has been documented as a time in which food availability and access among many households reliant on subsistence agriculture is insufficient [1,6,8,9].…”
Section: Introductionmentioning
confidence: 99%
“…In the context of a changing climate, the stability of food availability, access, and utilization over time is an aspect of food security that is increasingly challenged in subsistence agricultural systems [1,6,7]. Across Central America, the 'lean' or 'hungry' season has been documented as a time in which food availability and access among many households reliant on subsistence agriculture is insufficient [1,6,8,9].…”
Section: Introductionmentioning
confidence: 99%
“…The relationship between polygyny and individual children's health outcomes most likely operates through efficiency channels, while at the same time depending on characteristics of the child's mother. Polygyny is generally negatively correlated with female bargaining power; co-wives in polygynous households wield less bargaining power than their monogamous counterparts because the value of individual wives' assets in the latter, on which bargaining power may be based, is smaller, given that multiple wives contribute to household welfare (Anderson et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Some studies find a positive association between polygyny and household welfare (Anderson, Reynolds, Biscaye, Greenaway & Merfeld, 2016;Akresh, Chen & Moore,2012). Akresh et al (2012) use a game theoretic approach and show that there is greater efficiency in agricultural production in polygamous households in West Africa, compared to monogamous households, largely attributable to co-operation among co-wives in this setting.…”
Section: Introductionmentioning
confidence: 99%
“…However, the interval is still wide enough to account for potential lags in the effects of climate variability on food security, disease, and, therefore, child malnutrition (Christian & Dillon 2018). For example, temperature-induced declines in crop yields may not result in food insecurity until many months after harvests, when households face declining food supplies earlier in the year than usual (i.e., a lengthened "hungry season", Anderson et al 2018;Grace et al 2017;Miller 2017). The cost of accounting for such lags is that our exposure interval will not capture cases in which environmental conditions early in the period lead to immediate but temporary reductions in weight.…”
Section: Methodsmentioning
confidence: 99%
“…In addition to the control variables described above, we include a series of fixed effects to control for spatial and temporal confounders. 8 Survey-month fixed effects control for all variation across survey months that is common across the sample and thereby help to account for seasonality in nutritional outcomes that is commonly observed across sub-Saharan Africa (Anderson et al 2018;Christian & Dillon 2018;Grace et al 2017;Miller 2017). Survey-decade fixed effects control for all decade-on-decade changes across the entire sample and thereby help to reduce the risk that the analysis is confounded by unobserved factors correlated with the secular changes in temperature, precipitation, and WFH over the study period.…”
Section: Statistical Modelsmentioning
confidence: 99%