Castes and Labor Mobility

Hnatkovska, Viktoria; Lahiri, Amartya; Paul, Sourabh

doi:10.2139/ssrn.1669164

Cited by 13 publications

(14 citation statements)

References 16 publications

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“…Our objective in this article is to quantify the occupational persistence in recent times, the period when India has experienced a relatively high level of economic growth. Previous work in the Indian context includes Hnatkovska et al (2012) and Nandi (2016). Our article is close to the analysis presented in Nandi (2016).…”

Section: Introductionsupporting

confidence: 62%

Intergenerational Occupational Persistence: Recent Evidence from Indian States

Lahiri

Nandi

2020

Journal of Asian Development Research

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This article studies intergenerational occupational persistence using three recent rounds of a nationally representative sample survey from India. More than 60% of Indians are employed in the industry where their fathers are also employed. We find that individuals from Scheduled Tribes (ST) and Hindus have higher occupational persistence than those from the General Class (GEN) and Muslims, respectively. Persistence in general is higher in rural areas. We find considerable interstate and intrastate variations in the incidence across General Category States (GCSs) and Special Category States (SCSs). It has remained almost unchanged among GCSs on average, whereas it has decreased gradually for SCSs. Large inter-regional disparity exists within states between rural and urban areas and between capital and non-capital districts. Such disparity is found to be higher among GCSs. Bihar, Madhya Pradesh, Chhattisgarh and Jharkhand are the GCSs with large and increasing occupational persistence. Nagaland, Arunachal Pradesh, Meghalaya and Mizoram are the SCSs with persistence of above 70%. Using a probit estimation analysis, we find family background (father’s education in rural area and ownership of productive assets) to have a significant and consistent influence on intergenerational persistence compared to own education. Results in general indicate that background factors play a stronger role than education does in the choice of occupation among Indians.

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Section: Introductionsupporting

confidence: 62%

Intergenerational Occupational Persistence: Recent Evidence from Indian States

Lahiri

Nandi

2020

Journal of Asian Development Research

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“…Studies conducted by Pradhan et al (2000) and Hnatkovska et al (2012) have found substantial disparity in education across rural and urban areas in India. To take into account this sectoral effect on the educational decision of the individuals, we include ‘sector’ as a dummy variable in the sequential logit regression, and where the rural sector is taken as the reference category.…”

Section: Variables Included In the Sequential Logit Modelsmentioning

confidence: 94%

Gradual Disappearance of Gender Disparity in Human Capital Accumulation: Evidence from India

Chaudhury

Sinha

2020

Journal of Asian and African Studies

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This study examines the existence and persistence of gender disparity in education in rural and urban India. We use the sequential logit model of regression on data sets provided by three rounds of quinquennial employment and unemployment surveys conducted by the National Sample Survey Office (NSSO). The findings of the study reveal that in both rural and urban sectors of India there is gender group disparity, and this disparity is greater in the rural sector than in the urban areas. Furthermore, it is also found that the gender groups’ disparity in education in India has substantially changed during the last two decades across both sectors.

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“…Some surveys of nationally representative samples show that there has been convergence between the upper castes and the lower castes on education and occupations over the past decades in India (Hnatkovska & Lahiri, 2011). Caste plays an important role in economic mobility (Deshpande, 2011).…”

Section: Caste In Indiamentioning

confidence: 99%

Caste in the News: A Computational Analysis of Indian Newspapers

Fonseca

Bandyopadhyay

Louçã

et al. 2019

Social Media + Society

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Conflicts involving caste issues, mainly concerning the lowest caste rights, pervade modern Indian society. Caste affiliation, being rigorously enforced by the society, is an official contemporary reality. Although caste identity is a major social discrimination, it also serves as a necessary condition for affirmative action like reservation policy. In this article, we perform an original and rigorous analysis of the discourse involving the theme “caste” in India newspapers. To this purpose, we have implemented a computational analysis over a big dataset of the 2016 and 2017 editions of three major Indian newspapers to determine the most salient themes associated with “caste” in the news. We have used an original mix of state-of-the-art algorithms, including those based on statistical distributions and two-layer neural networks, to detect the relevant topics in the news and characterize their linguistic context. We concluded that there is an excessive association between lower castes, victimization, and social unrest in the news that does not adequately cover the reports on other aspects of their life and personal identity, thus reinforcing conflict, while attenuating the vocality and agency of a large section of the population. From our conclusion, we propose a positive discrimination policy in the newsroom.

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Castes and Labor Mobility

Cited by 13 publications

References 16 publications

Intergenerational Occupational Persistence: Recent Evidence from Indian States

Intergenerational Occupational Persistence: Recent Evidence from Indian States

Gradual Disappearance of Gender Disparity in Human Capital Accumulation: Evidence from India

Caste in the News: A Computational Analysis of Indian Newspapers

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