Consumption Inequality Among Children: Evidence From Child Fostering in Malawi

Penglase, Jacob

doi:10.2139/ssrn.3203895

Cited by 13 publications

(12 citation statements)

References 10 publications

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“…These numbers are comparable in magnitude to those inDunbar et al (2013) andPenglase (2017) forMalawi and Calvi (2016) andCalvi et al (2017) for India.…”

supporting

confidence: 72%

“…They set-up an estimation problem that has 6 Browning et al (2014) provide a comprehensive review of the theoretical and empirical advances in this literature. 7 Applications or variations of the DLP model include Calvi (2016), Calvi et al (2017), Penglase (2017), Brown et al (2018 and Bargain et al (2018). I am also closely related to the recent contribution by Sokullu and Valente (2017), who recover resource shares by extending the DLP model to panel data and using PROGRESA to estimate resource shares and poverty rates of eligible households.…”

Section: Related Literaturementioning

confidence: 95%

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Control of resources, bargaining power and the demand of food: Evidence from PROGRESA

Tommasi

2019

Journal of Economic Behavior & Organization

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“…These numbers are comparable in magnitude to those inDunbar et al (2013) andPenglase (2017) forMalawi and Calvi (2016) andCalvi et al (2017) for India.…”

supporting

confidence: 72%

Section: Related Literaturementioning

confidence: 95%

Control of resources, bargaining power and the demand of food: Evidence from PROGRESA

Tommasi

2019

Journal of Economic Behavior & Organization

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“…and Penglase (2019). Still other papers impose additional parametric restrictions to obtain point identification, e.g., Couprie, Peluso, and Trannoy (2010) and Lise and Seitz (2011).…”

Section: Collective Household Modelsmentioning

confidence: 99%

Identification of semiparametric model coefficients, with an application to collective households

Lewbel

Lin

2022

Journal of Econometrics

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We prove identification of coefficients for a set of semiparametric specifications that are related to multiple index models. Potential applications of these results include models of observed heterogeneity in production functions and in consumer demand systems.We then generalize these results to identify a class of collective household consumption models. We extend the existing literature by proving point identification, rather than the weaker generic identification, of all the features of the collective household model, including price effects. We estimate the model using Japanese consumption data, and find substantial variation in resource shares and indifference scales across households of different sizes.

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“…In Malawi, 17% of households have at least one child whose parents do not live in the household [Penglase (2018)]. In the online Appendix we show that our results on children hours worked and schooling in Section 4.3 are robust to restricting the sample to children were both parents are present (i.e., excluding households with adopted/fostered and single-parent children.…”

mentioning

confidence: 95%

The costs of consumption smoothing: less schooling and less nutrition

Magalhaes¹,

Koh

Santaeulàlia-Llopis

2019

J. Dem. Econ.

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Using novel microdata, we explore lifecycle consumption in Sub-Saharan Africa. We find that households' ability to smooth consumption over the lifecycle is large, particularly, in rural areas. Consumption in old age is sustained by shifting to self-farmed staple food, as opposed to traditional savings mechanisms or food gifts. This smoothing strategy indicates two important costs. The first cost is a loss of human capital as children seem to be diverted away from school and into producing self-farmed food. Second, a diet largely concentrated in staple food (e.g., maize in Malawi) in old age results in a loss of nutritional quality for households headed by the elderly.

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Consumption Inequality Among Children: Evidence From Child Fostering in Malawi

Cited by 13 publications

References 10 publications

Control of resources, bargaining power and the demand of food: Evidence from PROGRESA

Control of resources, bargaining power and the demand of food: Evidence from PROGRESA

Identification of semiparametric model coefficients, with an application to collective households

The costs of consumption smoothing: less schooling and less nutrition

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