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Patterns of Labour Market Insecurity in Rural India: A Multidimensional and Multivariate Analysis


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  • Padmini Desikachar


  • Brinda Viswanathan


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    Labour market insecurity, recognised as pervasive in rural India, is multi-faceted. This study attempts to fill a gap in the research on key dimensions of labour market insecurity by using the National Sample Survey data for the year 2004-2005 for rural India to construct a composite index applying multiple correspondence analysis. In constructing the index, information on key dimensions of labour market insecurity are used, including labour force status according to longer and shorter reference period measures, labour time utilization, and behavioural responses to labour market risks. The index is then used to address the question of how the labour market insecure differ in their socioeconomic, household, and individual characteristics from the labour market secure using a selectivity-corrected ordered probit model. [Working Paper 62/2011]. URL:[].

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    Bibliographic Info

    Paper provided by eSocialSciences in its series Working Papers with number id:4901.

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    Date of creation: Apr 2012
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    Handle: RePEc:ess:wpaper:id:4901

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    Keywords: Labour Market Insecurity; Multiple Correspondence Analysis; Selectivity-corrected Order Probit Model; Rural India; human capital acquisition; market insecurity; agricultural labourers; socioeconomic; household; and individual characteristics; probit model; market insecurity;


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    1. Murgai, Rinku & Ravallion, Martin, 2005. "Is a guaranteed living wage a good anti-poverty policy?," Policy Research Working Paper Series 3640, The World Bank.
    2. K Sundaram, 2009. "Measurement Of Employment And Unemployment In India: Some Issues," Working papers 174, Centre for Development Economics, Delhi School of Economics.
    3. The World Bank,, 2010. "India's Employment Challenge: Creating Jobs, Helping Workers," OUP Catalogue, Oxford University Press, number 9780198063513.
    4. Michael Greenacre, 2008. "Correspondence analysis of raw data," Economics Working Papers 1112, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2009.
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