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Heterogeneous Effects of Maternal Labor Market Participation on the Nutritional Status of Children: Empirical Evidence from Rural India

Heterogeneous Effects of Maternal Labor Market Participation on the Nutritional Status of Children: Empirical Evidence from Rural India

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dc.contributor.author Diiro, Gracious M.
dc.contributor.author Sam, Abdoul G.
dc.contributor.author Kraybill, David
dc.date.accessioned 2021-01-01T21:58:02Z
dc.date.available 2021-01-01T21:58:02Z
dc.date.issued 2017
dc.identifier.issn 1874-897X
dc.identifier.uri http://combine.alvar.ug/handle/1/48128
dc.description.abstract We use a dataset of rural Indian households to investigate the effects of maternal participation in labor markets on child nutrition (the standardized height-for-age). Our study differs methodologically from previous research in this realm in that we are using an instrumental variable quantile regression framework in order to estimate the causal effects of maternal work at various locations of the height-for-age distribution in rural India. The quantile estimates provide evidence of large heterogeneity in the effect of a mother's work on child nutrition. In particular, the results suggest that it is children in the lower tail of the distribution who experience more sizable 'nutritional premiums' due to maternal labor market participation; the effects are small and insignificant for children in the rest of the distribution.
dc.language English
dc.publisher SPRINGER
dc.relation.ispartof Child Indicators Research
dc.subject Child Nutrition
dc.subject Instrumental Variable Quantile Regression
dc.subject Maternal Labor Market Participation
dc.subject India
dc.title Heterogeneous Effects of Maternal Labor Market Participation on the Nutritional Status of Children: Empirical Evidence from Rural India
dc.type Article
dc.identifier.isi 000406969000002
dc.identifier.doi 10.1007/s12187-016-9378-y
dc.publisher.city DORDRECHT
dc.publisher.address VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
dc.identifier.eissn 1874-8988
dc.identifier.volume 10
dc.identifier.issue 3
dc.identifier.spage 609
dc.identifier.epage 632
dc.subject.wc Social Sciences, Interdisciplinary
dc.subject.sc Social Sciences - Other Topics
dc.description.pages 24
dc.subject.kwp Semiparametric Estimation
dc.subject.kwp Womens Work
dc.subject.kwp Employment
dc.subject.kwp Regression
dc.subject.kwp Height
dc.subject.kwp Health
dc.subject.kwp Age
dc.subject.kwp Identification
dc.subject.kwp Demand
dc.subject.kwp Malnutrition
dc.description.affiliation Makerere Univ, Dept Agribusiness & Nat Resource Econ, Kampala, Uganda
dc.description.affiliation Ohio State Univ, Dept Agr Environm & Dev Econ, 338 Ag Adm Bldg,2120 Fyffe Rd, Columbus, OH 43210 USA
dc.description.email Diirog@yahoo.co.uk
dc.description.email Sam.7@osu.edu
dc.description.email Kraybill.1@osu.edu
dc.description.corr Sam, AG (corresponding author), Ohio State Univ, Dept Agr Environm & Dev Econ, 338 Ag Adm Bldg,2120 Fyffe Rd, Columbus, OH 43210 USA.


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