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Measuring and Mapping Micro Level Earning Inequality towards Addressing the Sustainable Development Goals – A Multivariate Small Area Modelling Approach

Author

Listed:
  • Guha Saurav

    (ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, New Delhi, India.)

  • Chandra Hukum

    (ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, New Delhi, India.)

Abstract

The earning inequality in India has unfavorably obstructed underprivileged in accessing elementary needs like health and education. Periodic labour force survey conducted by National Statistical Office of India generates estimates on earning status at national and state level for both rural and urban sectors separately. However, due to small sample size problem, these surveys cannot generate reliable estimates at micro-level viz. district or block. Thus, owing to unavailability of district-level estimates, analysis of earning inequality is restricted to the national and the state level. Therefore, the existing variability in disaggregate-level earning distribution often goes unnoticed. This article describes multivariate small area estimation method to generate precise and representative district-wise estimate of earning distribution in rural and urban areas of the Indian State of Bihar by linking Periodic labour force survey data of 2018–2019 and 2011 Population Census data of India. These disaggregate-level estimates and spatial mapping of earning distribution are essential for measuring and monitoring the goal of reduced inequalities related to the sustainable development of 2030 agenda. They expected to offer insightful information to decision-makers and policy experts for identifying the areas demanding more attention.

Suggested Citation

  • Guha Saurav & Chandra Hukum, 2022. "Measuring and Mapping Micro Level Earning Inequality towards Addressing the Sustainable Development Goals – A Multivariate Small Area Modelling Approach," Journal of Official Statistics, Sciendo, vol. 38(3), pages 823-845, September.
    • Handle: RePEc:vrs:offsta:v:38:y:2022:i:3:p:823-845:n:2
    DOI: 10.2478/jos-2022-0036
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    References listed on IDEAS

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    1. Saurav Guha & Hukum Chandra, 2021. "Measuring disaggregate level food insecurity via multivariate small area modelling: evidence from rural districts of Uttar Pradesh, India," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(3), pages 597-615, June.
    2. Hukum Chandra & Nicola Salvati & U. C. Sud, 2011. "Disaggregate-level estimates of indebtedness in the state of Uttar Pradesh in India: an application of small-area estimation technique," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(11), pages 2413-2432, January.
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