• Altonji, J. G. and R. L. Matzkin (2005), “Cross section and panel data estimators for nonseparable models with endogenous regressors. Econometrica, 73 (4), 10531102. DOI: 10.1111/j.1468-0262.2005.00609.x
  • Badia-Miró, M. (2008), La Localización de la Actividad Económica en Chile, 1890–1973. Su Impacto de Largo Plazo. Tesis Doctoral, Universidad de Barcelona .
  • Belzil, C. and J. Hansen (2005), “A structural analysis of the correlated random coefficient wage regression model with an application to the OLS–IV puzzle.” Discussion Paper 1585, Institute for the Study of Labor (IZA) .
  • Blundell, R. and J. L. Powell (2003), “Endogeneity in nonparametric and semiparametric regression models.” In Advances in Economics and Econometrics: Theory and Applications, Eighth World Congress, Vol. II (L. P. Hansen and S. J. Turnovsky, eds.), 312358, Cambridge University Press, Cambridge .
  • Card, D. (1995), “Earnings, schooling and ability revisited. Research in Labor Economics, 14, 2348.
  • Chay, K. and M. Greenstone (2005), “Does air quality matter? Evidence from the housing market. Journal of Political Economy, 113 (2), 376424. DOI: 10.1086/427462
  • Chernozhukov, V. and C. Hansen (2006), “Instrumental quantile regression inference for structural and treatment effect models. Journal of Econometrics, 132 (2), 491525. DOI: 10.1016/j.jeconom.2005.02.009
  • Chesher, A. (2003), “Identification in nonseparable models. Econometrica, 71 (5), 14051441. DOI: 10.1111/1468-0262.00454
  • Chesher, A. (2005), “Nonparametric identification under discrete variation. Econometrica, 73 (5), 15251550. DOI: 10.1111/j.1468-0262.2005.00628.x
  • Chesher, A. (2007), “Identification of non-additive structural functions.” In Advances in Economics and Econometrics: Theory and Applications, Ninth World Congress, Vol. 3 (R. Blundell, W. K. Newey, and T. Persson, eds.), 116, Cambridge University Press, New York . DOI: 10.1017/CCOL0521871549
  • Florens, J. P., J. Heckman, C. Meghir, and E. Vytlacil (2008), “Identification of treatment effects using control functions in models with continuous, endogenous treatment and heterogeneous effects. Econometrica, 76 (5), 11911206. DOI: 10.3982/ECTA5317
  • Garen, J. (1984), “The returns to schooling: A selectivity bias approach with a continuous choice variable. Econometrica, 52 (5), 11991218. DOI: 10.2307/1910996
  • Hahn, J. and G. Ridder (2011), “Conditional moment restrictions and triangular simultaneous equations. Review of Economics and Statistics, 93 (2), 683689. DOI: 10.1162/REST\_a\_00071
  • Imbens, G. and W. K. Newey (2009), “Identification and estimation on triangular simultaneous equation models without additivity. Econometrica, 77 (5), 14811512. DOI: 10.3982/ECTA7108
  • Kauermann, G., G. Claeskens, and J. Opsomer (2009), “Bootstrapping for penalized spline regression. Journal of Computational and Graphical Statistics, 18, 126146. DOI: 10.1198/jcgs.2009.0008
  • Mammen, E., C. Rothe, and M. Schienle (2011), “Semiparametric estimation with generated covariates.” Discussion Paper 6084, Institute for the Study of Labor (IZA) .
  • Newey, W. K., J. L. Powell, and F. Vella (1999), “Nonparametric estimation of triangular simultaneous equations models. Econometrica, 67 (3), 595603. DOI: 10.1111/1468-0262.00037
  • Rau, T. (2007), Essays on Applied Semiparametric Econometrics. Ph.D. dissertation, University of California, Berkeley .
  • Rothenberg, T. J. (1984), “Approximating the distribution of econometric estimators and test statistics.” In Handbook of Econometrics, Vol. 2 (Z. Griliches and M. D. Intriligator, eds.), 881935, North-Holland, Amsterdam .
  • Silverman, B. W. (1985), “Some aspects of the spline smoothing approach to nonparametric regression curve fitting. Journal of the Royal Statistical Society, Ser. B, 47, 152.
  • Soto, R. and A. Torche (2004), “Spatial inequality, migration and economic growth in Chile. Cuadernos de Econonomía, 41 (124), 401424.
  • Staigner, D. and J. H. Stock (1997), “Instrumental variables regression with weak instruments. Econometrica, 65 (3), 557586. DOI: 10.2307/2171753
  • Stock, J. and M. Yogo (2005), “Testing for weak instruments in linear IV regression.” In Identification and Inference for Econometric Models: A Festschrift in Honor of Thomas Rothenberg (D. W. K. Andrews and J. H. Stock, eds.), 80108, Cambridge University Press, Cambridge . DOI: 10.1017/CBO9780511614491.006
  • Torgovitsky, A. (2011), “Identification of nonseparable models with general instruments.” Working paper, Yale University .
  • Wood, S. N. (2004), “Stable and efficient multiple smoothing parameter estimation for generalized additive models. Journal of the American Statistical Association, 99 (467), 673686. DOI: 10.1198/016214504000000980
  • Wood, S. N. (2006), Generalized Additive Models: An Introduction With R. Chapman & Hall/CRC, Boca Raton .