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 The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit organization supported by Deutsche Post Foundation. The center is associated with the University of Bonn and offers a stimulating research environment through its international network, workshops and conferences, data service, project support, research visits and doctoral program. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. 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 SIZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author.IZA Discussion Paper No. 8483 September 2014 ABSTRACT Manufacturing Growth and the Lives of Bangladeshi Women *We study the effects of explosive growth in the Bangladeshi ready-made garments industry on the lives on Bangladeshi women. We compare the marriage, childbearing, school enrollment and employment decisions of women who gain greater access to garment sector jobs to women living further away from factories, to years before the factories arrive close to some villages, and to the marriage and enrollment decisions of their male siblings. Girls exposed to the garment sector delay marriage and childbirth. This stems from (a) young girls becoming more likely to be enrolled in school after garment jobs (which reward literacy and numeracy) arrive, and (b) older girls becoming more likely to be employed outside the home in garment-proximate villages. The demand for education generated through manufacturing growth appears to have a much larger effect on female educational attainment compared to a large-scale government conditional cash transfer program to encourage female schooling.JEL Classification: O12, F16, I25, J23
We use nationally representative household data from India to establish the intergenerational effect of early marriage on a broad set of health and educational investments and outcomes, and to explicate the underlying mechanisms. The empirical strategy utilizes variation in age at menarche to obtain exogenous variation in the age at marriage. We find that delayed marriage results in significantly better child health and educational outcomes. We further analyze a subsample of uneducated child brides to show that the age at marriage matters by itself, independently of its effects via the woman's educational attainment and her marriage market outcome. From a household-decision-making perspective, the effects appear to be due (at least in part) to a reduction in desired and actual fertility as a result of later marriage, which may be associated with a quantity/quality tradeoff.
I argue that firms use referrals from current workers to mitigate a moral hazard problem. I develop a model in which referrals relax a limited liability constraint by allowing the firm to punish the referral provider if the recipient has low output. I test the model's predictions using household survey data that I collected in Bangladesh. I can control for correlated wage shocks within a network and correlated unobserved type between the recipient and provider. I reject the testable implications of models in which referrals help firms select unobservably good workers or are solely a non-wage benefit to providers.
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