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Kanika Mahajan

Researcher at Ashoka University

Publications -  32
Citations -  471

Kanika Mahajan is an academic researcher from Ashoka University. The author has contributed to research in topics: Wage & Biology. The author has an hindex of 7, co-authored 20 publications receiving 226 citations. Previous affiliations of Kanika Mahajan include Indian Statistical Institute & Ambedkar University Delhi.

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COVID-19 and Supply Chain Disruption: Evidence from Food Markets in India .

TL;DR: In this paper, the authors used a dataset from one of the largest online grocery retailers to look at the impact on product stockouts and prices of vegetables, fruits, and edible oils.
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Why are Fewer Married Women Joining the Work Force in India? A Decomposition Analysis Over Two Decades

TL;DR: In this paper, the authors use parametric and semi-parametric decomposition techniques to show that changes in individual and household attributes fully account for the fall in women's labor force participation rate in 1987-1999 and account for half of the decline in this rate in 1999-2009.
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Why are fewer married women joining the work force in rural India? A decomposition analysis over two decades

TL;DR: In this paper, the authors use parametric and semi-parametric decomposition techniques to show that changes in individual and household attributes fully account for the fall in women's labor force participation rate in 1987-1999 and account for half of the decline in this rate in 1999-2009.
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Rainfall Shocks and the Gender Wage Gap: Evidence from Indian Agriculture

TL;DR: In this article, a district-level panel dataset is created to examine how a rainfall shock affects the gender wage gap in rural India. And the authors show that both female and male wages are positively related to rainfall shocks.
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Caste, Female Labor Supply and the Gender Wage Gap in India: Boserup Revisited

TL;DR: This article found that differences in female labor supply are able to explain 55% of the gender wage gap between northern and southern states of India, and that women gain from greater non-farm employment, even if women have fewer opportunities for nonfarm employment.