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@article{192542,
        author = {Neha Sheetal Kodakandla and Sushanth Chakravarthy and N Munindra},
        title = {A Comprehensive Survey on Wage Discrimination Analysis Using Decomposition and Meta- Analytical Approaches},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {2221-2225},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192542},
        abstract = {Wage discrimination Stayed again a persistent socio- economic issue across different demographic groups, Especially along racial and gender lines[ 1][ 2]. Over the decades, Researchers have proposed a value of econometric and sociological methods to describe, explain and interpret this wage differentials[ 2][ 5].
This survey paper gives a comprehensive review of classical and modern approaches wage discrimination Analyze, focus decomposition techniques, Structural and reduced models, meta- regression analysis, and task- specific frameworks[ 2][ 3][ 4]. Especially drawing eight Fundamental and influential research papers, In this survey, methodology, applications, empirical findings, And limits[ 3].
The paper More highlights to emerge research gaps And methodological challenges, Furnish instructions for future research in wage inequality Studies[ 4].},
        keywords = {Wage discrimination, Oaxaca- Blender Rot, income inequality, gender differences in reimburse, racial wage gap, Meta regression analysis, task specificity, Labor economics.},
        month = {February},
        }