Education and Labour Market Outcomes: Evidence from India

Aggarwal, Aradhna; Johnes, Geraint; Freguglia, Ricardo da Silva; Spricigo, Gisele

doi:10.2139/ssrn.1744058

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…It may also reflect a lack of employment opportunities in higher status jobs. This finding may usefully be contrasted with the situation in India (Aggarwal et al, 2013) where, with service sector led growth, highly educated workers are predominantly absorbed in the non-manual sector.…”

Section: Dynamic Discrete Choice Modelmentioning

confidence: 67%

“…Further studies of occupational choice in other BRIC countries include approaches based on multinomial logit analyses in India (Khandker, 1992), South Africa (Keswell, 2000) and Russia (Klimova, 2012). Dynamic analyses are rare, but a notable exception is Aggarwal et al (2013) who use a dynamic modelling approach very similar to that which we employ in the present paper. They find that the policy of expanding educational provision leads initially to an increased participation in education and subsequently to an increased propensity for workers to enter non-manual occupations.…”

Section: Literature Reviewmentioning

confidence: 99%

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Education and occupational outcomes: evidence from Brazil

et al. 2016

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Purpose -The purpose of this paper is to examine the dynamic relationship between policies related to educational provision and both educational participation and occupational outcomes in Brazil, using PNAD and RAIS-Migra data. Design/methodology/approach -Outcomes are examined using: static multinomial logit analysis, and structural dynamic discrete choice modelling. The latter approach, coupled with the quality of the RAIS-Migra data source, allows the authors to evaluate the education policy impacts over time. Findings -The main results show that the education level raises the propensity that the individual will be in formal sector work or still in education, and reduces the probability of the other outcomes. Transition into non-manual formal sector work following education may, however, occur via a spell of manual work. Originality/value -This is the first study of occupational destination to be conducted in a rapidly developing country using high-quality panel data and appropriate dynamic methods, and as such makes an important contribution in confirming that increased supply of highly skilled workers enhances occupational attainment in this context.

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Section: Dynamic Discrete Choice Modelmentioning

confidence: 67%

Section: Literature Reviewmentioning

confidence: 99%

Education and occupational outcomes: evidence from Brazil

et al. 2016

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“…The analysis of economic sectors with regard to labour attributes is essential for the developing nations like India, which are highly diversified in terms of society, religion, region, language, culture, climate, education, and gender. This higher level of diversities promotes discrimination, nepotism, and favouritism in the labour market, where the intensity of this unequal distribution of labour varies over regions, castes, genders, religions, languages, race, marriage, education, health, family background, and so forth (Aggarwal, Johnes, Freguglia, & Spricigo, ; Baah‐Boateng, ; Banerjee, ; Marelli & Vakulenko, ; Schioppa & Lupi, ). The increasing level of diversity on the basis of mentioned labour attributes further disturbs the balance of employment distribution in the labour market.…”

Section: Introductionmentioning

confidence: 99%

Impact of labour attributes and probability of employability in Indian labour market: A sectoral analysis

Bairwa

Sharma

2019

Journal of Public Affairs

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The structural transition of an economy helps the nations to move from primary to secondary and then to tertiary sector for the total output and employment generation. However, the absence of this systematic structural transition could lead the nation into long‐term imbalances for employment and output. This is happening with India as its economy has directly moved from primary to tertiary sector for both output and employment generation. The present study helps to identify the main reasons about why India is still stagnating with its sluggish primary sector for employment generation. This will also show the existing pattern of occupational choices for the people of different labour attributes. The study usages the fourth and fifth survey of employment and unemployment conducted by the Labour Bureau in 2012–13 and 2014–15 over 1,087,968 individuals of India. The study applies both multinomial logit model and binary logit model for analysing the employment probabilities of the individuals for working in the primary, secondary, and tertiary sectors. The study finds that location and education are the most important factor affecting the employment choices of the individuals, whereas caste and gender are also important but with moderate impact. The location is found crucial factor for primary and secondary sector occupation, whereas secondary sector is neutral in this regard. The service sector is found to have the highest incidences of caste discrimination and favouritism in the labour market. The education has the highest impact on the service sector jobs.

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Money Matters: Economic and Occupational Disruptions

Železa

2016

The Transformation of Global Higher Education, 1945-2015

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Education and Labour Market Outcomes: Evidence from India

Cited by 6 publications

References 12 publications

Education and occupational outcomes: evidence from Brazil

Education and occupational outcomes: evidence from Brazil

Impact of labour attributes and probability of employability in Indian labour market: A sectoral analysis

Money Matters: Economic and Occupational Disruptions

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