Convergence across castes
Viktoria Hnatkovska,
Chenyu Hou and
Amartya Lahiri
MPRA Paper from University Library of Munich, Germany
Abstract:
India has witnessed a remarkable catch-up by the historically disadvantaged scheduled castes and tribes (SC/STs) towards non-SC/ST levels in their education attainment levels, occupation choices as well as wages during the period 1983-2012. Using a heterogenous agent, multi-sector model we show that sectoral productivity growth during this period can explain 75 percent of the observed wage convergence between the castes. Inter-sectoral net flows of workers are key as they account for 3/4 of the predicted convergence. Absent these net flows, the caste wage gaps would have marginally widened. Selection effects, while present in these net flows, account for just a quarter of the predicted wage convergence. We also find that affirmative action policies that reduced skilling costs for SC/STs may have reduced the levels of the caste wage gaps at all times but played a limited role in accounting for the dynamics of the wage gap. Growth was key for the dynamic wage convergence.
Keywords: Castes; convergence; labor (search for similar items in EconPapers)
JEL-codes: J6 O1 (search for similar items in EconPapers)
Date: 2021-07-14
New Economics Papers: this item is included in nep-dev and nep-lab
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/108980/1/MPRA_paper_108980.pdf original version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:108980
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().