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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Aneesh, M.R.; Jose, Annmary Title A name given to the resource Wage Collapse and Gender Differences in Earning in India Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Indian Journal of Labour Economics; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41027-026-00606-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41027-026-00606-3</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105034451303?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034451303?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Aneesh M.R., Department of Economics, Christ University, Karnataka, Bengaluru, 560029, India; Jose A., Rajagiri Business School, Rajagiri Valley, Kakkanad, Kerala, Ernakulam, 682039, India, Rajagiri College of Social Sciences, Kerala, Kochi, India Description An account of the resource The study found that the average daily wages almost increased three times between 1983 and 202122 in rural and urban areas of the country. The average wages rose more rapidly for women than men. We have observed that the wage growth of casual workers increased much faster over the years, reflecting less fluctuation than regular workers. However, at the same time, the growth rate of regular workers has collapsed several times, and in the recent period, the collapse was almost complete. From the analysis of Gini coefficient and decomposition, we observed that wage inequality has come down in India between 201112 and 202122, and much of the differences in earnings are explained by within-group factors. The Author(s), under exclusive licence to Indian Society of Labour Economics 2026. Subject The topic of the resource Gender difference; Gini coefficient; Wage collapse; wage decomposition; wage growth; Wage inequality Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 9717927; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online