published in: Journal of Development Studies, 2023, 59 (4), 472 - 489
Hierarchies in social identities have been found to be integrally related to divergences in economic status. In India, caste is one such significant social identity where continued discriminatory practices towards the lower castes have resulted in poor outcomes for them. While there is considerable work on such divergence on many economic outcomes along caste lines, there is no work on behavioral preferences and personality traits that can also be adversely affected by such identity hierarchies, and that are important determinants of educational attainments and labor market performances.
We combine rich data from incentivized tasks and surveys conducted among a large sample of university students in a Seemingly Unrelated Regression framework and find that the historically marginalized Scheduled Castes and Scheduled Tribes (SCSTs) and Other Backward Classes (OBCs) fare worse than the upper castes along several dimensions of economic behavior such as competitiveness and confidence and personality traits such as grit, locus of control, and conscientiousness. Further, we find that parental investments only have limited compensatory effects on these gaps. This suggests a need for redesigning the structure of affirmative action policies in India as well as targeting interventions with an aim to improving soft skills among the disadvantaged.
We use cookies to provide you with an optimal website experience. This includes cookies that are necessary for the operation of the site as well as cookies that are only used for anonymous statistical purposes, for comfort settings or to display personalized content. You can decide for yourself which categories you want to allow. Please note that based on your settings, you may not be able to use all of the site's functions.
Cookie settings
These necessary cookies are required to activate the core functionality of the website. An opt-out from these technologies is not available.
In order to further improve our offer and our website, we collect anonymous data for statistics and analyses. With the help of these cookies we can, for example, determine the number of visitors and the effect of certain pages on our website and optimize our content.