Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Understanding Labor Market Dynamics in Urban India Amidst the Pandemic: A Study Employing Supervised Learning Methods Subject The topic of the resource COVID-19; Employment; KNN algorithm; Labor market transition; Multinomial logistic regression; Urban India Description An account of the resource This study provides insights into the dynamic job ladder and challenges in the Indian labor market, particularly when facing external shock. It examines the fluidity of job transitions among the employed, unemployed, and those not in the laborforce, focusing on the urban labor market of India during the COVID-19 pandemic. Using data from the 2020-21 Periodic Labour Force Survey, a longitudinal panel dataset was created to track individuals across four quarters, enabling the monitoring of their activity status. Employing K-Nearest Neighbour classification, the study identifies vulnerabilities in labor market engagement. It further explores factors driving transitions among the three states of labor market involvement, using a multinomial logistic model adjusted for selection bias. The research reveals significant movement within the labor force, with notable shifts between employment statuses. Even those currently employed are often vulnerable, at risk of detachment from the labor force at any time. Women were disproportionately affected, with evidence of discouraged worker effect, as many ceased jobs search duo to perceived job scarcity or unavailability of decent jobs. The study raised concerns about the sustainability of self-employment and the security of regular jobs. These findings expose enduring structural challenges exacerbated by the pandemic, calling for urgent action to address widespread unemployment, low female participation, and prevailing inequalities in the labor market. The Author(s), under exclusive licence to The Indian Econometric Society 2024. Creator An entity primarily responsible for making the resource Singha Roy N.; Ghosh N. Source A related resource from which the described resource is derived Journal of Quantitative Economics, Vol-22, No. 4, pp. 883-909. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s40953-024-00413-x" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s40953-024-00413-x</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204305453&amp;doi=10.1007%2Fs40953-024-00413-x&amp;partnerID=40&amp;md5=5d346ed7f0e2d6b01e15becff70b243f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204305453&amp;doi=10.1007%2fs40953-024-00413-x&amp;partnerID=40&amp;md5=5d346ed7f0e2d6b01e15becff70b243f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9711554 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singha Roy N., Department of Economics, Christ University, Hosur Road, Bengaluru, 560029, India; Ghosh N., Bengaluru, India