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Empirical Modeling of Deprivation Contagion Among Social Exclusion Dimensions (Using MCMC Methods)

  • Ambra Poggi
  • Xavier Ramos

Economic theory and empirical evidence clearly show that social exclusion dimensions are inter-related. Notwithstanding that, dimensions are usually assumed independent from one another in the economics literature. In this paper we explore the inter-dependency of social exclusion dimensions and study the transmission of deprivation among them. In particular, we propose the use of stochastic epidemic models, which are typically used to study the transmission of infectious diseases, to the analysis of deprivation diffusion among social exclusion dimensions with the aim of acquiring a deeper understanding of the mechanism governing deprivation transmission. We also provide an empirical implementation that investigates the consequences, in terms of future deprivation, for Italian and Spanish women of being jobless, as opposed to doing paid work. We also investigate the consequences of being unemployed versus being inactive. We conclude that working seems to act as a protective mechanism to shocks. In addition, conditional on losing one’s job, women who subsequently search for a job (unemployed) are more likely to experience contagion than women who do not search (inactive).

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Paper provided by LABORatorio R. Revelli, Centre for Employment Studies in its series LABORatorio R. Revelli Working Papers Series with number 59.

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Length: 16 pages
Date of creation: 2007
Date of revision:
Handle: RePEc:cca:wplabo:59
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  1. Ambra Poggi, 2003. "Does persistence of social exclusion exist in Spain?," Working Papers wpdea0308, Department of Applied Economics at Universitat Autonoma of Barcelona.
  2. BOSSERT, Walter & D'AMBROSIO, Conchita & PERAGINE, Vito, 2004. "Deprivation and Social Exclusion," Cahiers de recherche 2004-01, Universite de Montreal, Departement de sciences economiques.
  3. Pedro Mira & Namkee Ahn, 2002. "A note on the changing relationship between fertility and female employment rates in developed countries," Journal of Population Economics, Springer, vol. 15(4), pages 667-682.
  4. Satya R. Chakravarty & Conchita D'Ambrosio, 2003. "The Measurement of Social Exclusion," Discussion Papers of DIW Berlin 364, DIW Berlin, German Institute for Economic Research.
  5. Stephen Nickell, 2003. "Poverty and worklessness in Britain," LSE Research Online Documents on Economics 20038, London School of Economics and Political Science, LSE Library.
  6. Philip D. O'Neill & David J. Balding & Niels G. Becker & Mervi Eerola & Denis Mollison, 2000. "Analyses of infectious disease data from household outbreaks by Markov chain Monte Carlo methods," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(4), pages 517-542.
  7. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
  8. Florence Jaumotte, 2003. "Female Labour Force Participation: Past Trends and Main Determinants in OECD Countries," OECD Economics Department Working Papers 376, OECD Publishing.
  9. Clark, Andrew E & Oswald, Andrew J, 1994. "Unhappiness and Unemployment," Economic Journal, Royal Economic Society, vol. 104(424), pages 648-59, May.
  10. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 605-54, October.
  11. Tsakloglou, Panos & Papadopoulos, Fotis, 2001. "Identifying Population Groups at High Risk of Social Exclusion: Evidence from the ECHP," IZA Discussion Papers 392, Institute for the Study of Labor (IZA).
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