02832nam a22001577a 4500999001900000008004100019100007400060245011700134260004400251300003800295520206600333650011102399773004402510942000702554952011302561  c532999d532999260410b           ||||| |||| 00| 0 eng d  aRevankar, Divya Satish  Mishra, Aswini Kumar and  Sofi, Arfat 960039  aPrecarious work and employment deprivation: An econometric study of unemployment duration in India (2020–2024)  aThe Indian Journal of Labour Economics   a68(4), Oct-Dec, 2025: p.1279-1315  aThis study explores the dynamics of unemployment duration in India using Periodic Labour Force Survey (PLFS) data from 2020 to 2024, employing survival analysis through Cox Proportional Hazards (Cox PH) and Accelerated Failure Time (AFT) models. The analysis highlights an alarming trend of increasing survival rates, indicating prolonged joblessness across socio-demographic groups. Sectoral disparities remain significant, with rural areas facing higher unemployment risks, while higher educational attainment paradoxically extends unemployment durations due to skill mismatches and higher job expectations. Gender inequalities persist, with women experiencing longer unemployment spells than men. Kaplan–Meier survival curves reveal slower exits from unemployment in 2024 compared to 2020, reflecting structural labour market challenges such as stagnant job growth and insufficient alignment of skill with market demands. Prolonged unemployment exacerbates employment deprivation, leading to skill erosion, economic instability, and vulnerability to precarious employment characterised by low wages and insecurity. The study underscores the need for targeted policy interventions, such as enhanced job training, vocational education, and curriculum reforms to bridge skill gaps. Strengthening social protection systems, including unemployment benefits and infrastructure investments in high-unemployment sectors, is crucial for mitigating joblessness and improving labour market outcomes. While findings provide valuable insights, limitations include reliance on PLFS data that may not fully capture regional or informal sector nuances. Future research should incorporate longitudinal data and qualitative analysis to better understand unemployment’s socioeconomic impacts and the effectiveness of policy measures. Addressing these challenges through evidence-based policies can foster sustainable employment, reduce economic inequalities, and promote social resilience in India.-Reproduced 

https://link.springer.com/article/10.1007/s41027-025-00596-8
  aUnemployment, Employment dynamics, Survival analysis, Incidence rate, Precarious employment, Labour960040  aThe Indian Journal of Labour Economics   cAR  00102ddc40709408170aIIPAbIIPAd2026-04-10h68(4), Oct-Dec, 2025: p.1279-1315pAR138511r2026-04-10yAR