2019
DOI: 10.2139/ssrn.3332959
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Women’s Nutritional Empowerment and Their Well-Being Identifying Key Drivers in India and Bangladesh

Abstract: This paper uses six nationally representative household surveys from India and Bangladesh to examine the link between women's empowerment and their own nutritional status. Using a recently developed concept of nutritional empowerment, we first assess the degree to which these surveys capture its constituent elements. After identifying the relevant variables in these surveys that best represent the various aspects of nutritional empowerment, we use these surveys to estimate the relative contribution of differen… Show more

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Cited by 4 publications
(2 citation statements)
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“…The difference in R-squared between models with and without the covariate of interest is averaged over the exhaustive set of regressions. This average is the contribution of the covariate of interest to R-squared (see Narayanan et al 2019, for a detailed discussion on the Shapley-Owen approach). In other words, the difference in R-squared from the complete set of models that include and exclude the covariate of interest is averaged to estimate the contribution of the covariate of interest to total R-squared.…”
Section: Method: Shapley-owen Decompositionsmentioning
confidence: 99%
See 1 more Smart Citation
“…The difference in R-squared between models with and without the covariate of interest is averaged over the exhaustive set of regressions. This average is the contribution of the covariate of interest to R-squared (see Narayanan et al 2019, for a detailed discussion on the Shapley-Owen approach). In other words, the difference in R-squared from the complete set of models that include and exclude the covariate of interest is averaged to estimate the contribution of the covariate of interest to total R-squared.…”
Section: Method: Shapley-owen Decompositionsmentioning
confidence: 99%
“…The Shapley-Owen approach, by estimating a series of models and taking their average, is able to account for this (Narayanan et al 2019) The base models we run are a series of linear regressions of nutritional achievement, Y, on the various subsets of WEN grid covariates, grouped by domain-dimensions, and controls. Equation 1shows the complete model, including all covariates.…”
Section: Shapley Owen Decomposition Techniques Have a Distinct Advantage Over Regression In Situationsmentioning
confidence: 99%