UCLA. [3] Bonhomme, S. and J-M. Robin (2010) Generalized nonparametric de- convolution with an application to earnings dynamics, Review of Eco- nomic Studies, 77, pp. 491-533. [4] Butucea, C. and M.L.Taupin (2008) New M-estimators in semi- parametric regression with errors in variables, Annales de l’Institut Henri Poincar´e - Probabilit´es et Statistiques,V. 44, pp. 393–421. [5] Carroll, R. J., Ruppert, D., Stefanski, L. A. and C.M. Crainiceanu (2006). Measurement Error in Nonlinear Models: A Modern Perspec- tive. Chapman & Hall. [6] Carrasco, M. and J.-P. Florens (2010), A Spectral Method for Decon- volving a Density, Econometric Theory, 27 , pp 546-581. [7] Chen, X., H. Hong and D.Nekipelov (2011), Nonlinear models of mea- surement errors, Journal of Economic Literature, 49, pp.901-937. [8] Chen, X., Hong, H. and Tamer, E. (2005), Measurement Error Models with Auxiliary Data, Review of Economic Studies, 72, pp. 343–366. [9] Cunha, F., J.J. Heckman and S.M.Schennach (2010), Estimating the Technology of Cognitive and Noncognitive Skill Formation, Economet- rica, v.78, 883-933. 54