Dimensions of Economic Mobility in Kerala’s Migrant Households

Kumar, Rakesh Ranjan and Rajagopalan, Anjana and Singh, Sudershan (2018): Dimensions of Economic Mobility in Kerala’s Migrant Households.

Abstract

This paper analyses economic mobility as an evaluating criteria in gauging the nature and extent of improvement in economic position of households having migrants in terms of remittances and extent of economic mobility. Using panel data from Kerala Migration Surveys, we estimate the quantum of improvement in standards of living of migrant households in Kerala through transition matrices and statistical and econometric techniques.

• Item Type: MPRA Paper
• Language: English
• Keywords: Economic mobility, Standard of Living, Migration
• Subjects: J - Labor and Demographic Economics > J6 - Mobility, Unemployment, Vacancies, and Immigrant Workers; O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development; O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O15 - Human Resources ; Human Development ; Income Distribution ; Migration; R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R2 - Household Analysis > R23 - Regional Migration ; Regional Labor Markets ; Population ; Neighborhood Characteristics

References

Filmer, D., & Pritchett, L. H. (2001), ‘Estimating wealth effects without expenditure Data—Or tears: An application to educational enrolments in states of India’; Demography 38(1), 115-132.

Gwatkin, D. R., Rutstein, S., Johnson, K., Suliman, E., Wagstaff, A., &Amouzou, A. (2007), ‘Socio-economic differences in health, nutrition, and population’, Brazil 1996; Country Reports on HNP and Poverty; Banco Mundial

Kannan, K. P. And K. S. Hari (2002), ‘Kerala’s Gulf Connection: Emigration, Remittances and their Macroeconomic Impact 1972-2000’, Centre for Development Studies, Working Paper No. 328.

Kolenikov, S., & Angeles, G. (2004), ‘The use of discrete data in PCA: theory, simulations, and applications to socioeconomic indices.’ Chapel Hill: Carolina Population Center, University of North Carolina.

Krugman, P. (1992), ‘Toward a counter-counterrevolution in development theory’. World Bank Economic Review, 15-38.

Kundu, Amit (1999), "To Migrate or Not to Migrate", Indian Economic Journal, Vol.46, No.3, pp.121-128

Kuznets, S. (1962), ‘How to judge quality’; The New Republic, 20, 29-32

Lee, Everatt S (1966),"A Theory of Migration"; Demography, Vol.3, No.1, pp.47-57

McKenzie, D. J., & Rapoport, H. (2006), ‘Can migration reduce educational attainment? Evidence from Mexico’ (Vol. 3952). World Bank Publications

McKinley, T. (2010), ‘Inclusive growth criteria and indicators: an inclusive growth index for diagnosis of country progress’, Asian Development Bank Working paper, (14).

Moser, C. O., & Felton, A. (2007), ‘The construction of an asset index measuring asset accumulation in Ecuador’, (pp. 1-20) Chronic Poverty Research Centre.

Nair, P. R. G. (1983), ‘Asian Emigration to the Middle East: Emigration from India’, Centre for Development Studies, Working Paper No. 180.

Nayyar, D. (1994), ‘Migration, Remittances and Capital Flows: The Indian Experience’, Oxford University Press, New Delhi.

Olsson, U. (1979), ‘Maximum likelihood estimation of the polychoric correlation coefficient’, Psychometrika, 44(4), 443-460

Zachariah, K. C., B. A. Prakash and S. Irudaya Rajan (2002), ‘Gulf Migration Study: Employment, Wages and Working Conditions of Kerala Emigrants in the United Arab Emirates’, Centre for Development Studies, Working Paper No. 326

Zachariah, K. C., Mathew, E. T., & Rajan, S. I. (2001), ‘Impact of migration on Kerala's economy and society’, International Migration, 39(1), 63-87