Maternal Employment and Child Health
Show Less

Maternal Employment and Child Health

Global Issues and Policy Solutions

Yana van der Meulen Rodgers

As women’s labor force participation has risen around the globe, scholarly and policy discourse on the ramifications of this employment growth has intensified. This book explores the links between maternal employment and child health using an international perspective that is grounded in economic theory and rigorous empirical methods.
Buy Book in Print
Show Summary Details
You do not have access to this content

Chapter 6: New Results for South and Southeast Asia

Yana van der Meulen Rodgers


Having created the Asian samples of children under the age of five matched with their mothers and constructed the dependent and independent variables, the next step of the analysis entailed cross-tabulating each of the nutritional status measures and the independent variables by maternal employment. The objective of the bivariate tabulations was to test whether those variables have a statistically significant bivariate association prior to entering them into the multivariate specifications. These tests provide insight as to patterns across countries in how the prevalence of poor nutritional outcomes may differ for children of non-employed and employed women, and how socio-economic status and household characteristics may differ between these groups. BIVARIATE RESULTS Figure 6.1 reports the bivariate statistics on the prevalence of small birth size, stunting, and wasting among mothers with varying degrees of attachment to the labor force. Given the structure of the survey question about the mother’s employment status, the figure categorizes maternal employment as either (1) not employed at all in the past year, (2) employed in the past year but not now, and (3) currently employed. This three-way categorization provides more specific information on women’s employment activity compared to a binary variable measuring currently employed versus not currently employed or an alternative binary variable measuring employed currently or in the past year versus not employed at all in the past year. As the test of statistical significance for all of the bivariate associations, the Pearson chi-squared test statistic is corrected for clustering at the household level and is...

You are not authenticated to view the full text of this chapter or article.

Elgaronline requires a subscription or purchase to access the full text of books or journals. Please login through your library system or with your personal username and password on the homepage.

Non-subscribers can freely search the site, view abstracts/ extracts and download selected front matter and introductory chapters for personal use.

Your library may not have purchased all subject areas. If you are authenticated and think you should have access to this title, please contact your librarian.

Further information

or login to access all content.