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                  References
                  1.  Guigou, J.-D., Lovat, B., & Schiltz, J. (2010). The impact of ageing population
                      on pay-as-you-go pension systems: The case of Luxembourg. Journal of
                      International Finance and Economics, 10(1), 110{122.
                  2.  Guigou, J.-D., Lovat, B., & Schiltz, J. (2012). Optimal mix of funded and
                      unfunded  pension  systems:  the  case  of  Luxembourg.  Pensions,  17(4),
                      208{222.
                  3.  Jones,  B.L.,  &  Nagin,  D.S.  (2007).  Advances  in  Group-Based  Trajectory
                      Modeling  and  an  SAS  Procedure  for  Estimating  Them.  Sociological
                      Methods & Research, 35(4), 542{571.
                  4.  Muthen,  B.O.  (1989).  Latent  Variable  Modeling  in  Heterogeneous
                      Populations. Psychometrika, 54(4), 557{585.
                  5.  Nagin,  D.S.  (1999).  Analyzing  Developmental  Trajectories:  Semi-
                      parametric. Groupe-based Approach. Psychological Method, 4, 139{157.
                  6.  Nagin, D.S. (2005). Group-Based Modeling of Development. Cambridge,
                      MA: Harvard University Press.
                  7.  Nielsen,  J.D  et  al.  (2014).  Group-based  criminal  trajectory  analysis  and
                      growth  mixture  modeling:  A  Monte  Carlo  simulation  study.
                      Communications in Statistics - Theory and Methods, 43(20), 4337{4356.
                  8.  Schiltz, J (2015). A Generalization of Nagin's Finite Mixture Model. In: M.
                      Stemmler,  A.  von  Eye  &  W.  Wiedermann.  Dependent  Data  in  Social
                      Sciences Research. Heidelberg: Springer
                  9.  Woolridge,  J.  (2002).  Econometric  Analysis  of  Cross-Section  and  Panel
                      Data. Cambridge, MA: MIT press.































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