Mother or Motherland: Can a Government Have an Impact on Educational Attainment of the Population? Preliminary Evidence from India

Abstract

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. www.econstor.eu In this paper, using data from the 61 st round of the (Indian) National Sample Survey, we examine the relative impacts of personal-household and state-level characteristics (including government policy) on the likelihood of transition from one educational level to the next. Our analysis suggests that the most important factors driving these transition likelihoods are personal and household characteristics like gender and education of household heads. However, state-level characteristics and government policies have a significant impact on these transition likelihoods as well, especially for transitions from the lowest levels of education to somewhat higher levels. The odds of making the transition to higher education, especially tertiary education, are systematically lower for women than for men, for individuals in rural areas than those in urban areas, and for Muslims than for Hindus. An important conclusion of our analysis is that there is significant scope for government policy to address educational gaps between various demographic and other groups in the country. Terms of use: Documents in D I S C U S S I O N P A P E R S E R I E S JEL Classification:I21, I28

Maternal phenotype, independent of family economic capital, predicts educational attainment in lowland nepalese children

“…To put maternal capital in context, it is helpful to also measure broader components of family capital—for example, economic capital—such as material assets and land ownership. Other studies have identified lower household socio‐economic position, especially in rural areas, with poor educational attainment (Bhaumik and Chakrabarty, ; Reed et al, ). These factors are less closely associated with maternal phenotype and are expected to have no opportunity to influence maternal development prior to marriage.…”