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REFERENCES

  • Abramson IS. 1982. Bandwidth variation in kernel estimates: a square root law. Annals of Statistics 10: 12171223.
  • Amemiya T. 1975. The nonlinear limited-information maximum-likelihood estimator and the modified nonlinear two-stage least-squares estimator. Journal of Econometrics 3: 375386.
  • Chen S, Khan S. 2003. Rates of convergence for estimating regression coefficients in heteroscedastic discrete response models. Journal of Econometrics 117: 245278.
  • Dagenais M, Dagenais D. 1997. Higher moment estimators for linear regression models with errors in variables. Journal of Econometrics 76(1–2): 193222.
  • Donald S, Newey W. 2001. Choosing the number of instruments. Econometrica 69: 11611191.
  • Evans W, Schwab R. 1995. Finishing high school and starting college: do Catholic schools make a difference? Quarterly Journal of Economics 60: 941974.
  • Fukunaga K. 1972. Introduction to Statistical Pattern Recognition. Academic Press: New York.
  • Horowitz JL. 1992. A smoothed maximum score estimator for the binary response model. Econometrica 60: 505531.
  • Ichimura H. 1993. Semiparametric least squares (SLS) and weighted SLS estimation of single index models. Journal of Econometrics 58: 71120.
  • Ichimura H, Lee LF. 1991. Semiparametric least squares (SLS) and weighted SLS estimation of multiple index models: single equation estimation. in Nonparametric and Semiparametric Methods in Econometrics and Statistics, BarnettW, PowellJ, TauchenG (eds). Cambridge University Press: Cambridge, UK; 349.
  • Klein R, Spady R. 1993. An efficient semiparametric estimator for the binary response model. Econometrica 61: 387421.
  • Kordas G. 2006. Smoothed Binary Regression Quantiles. Journal of Applied Econometrics 21: 387407.
  • Lee LF. 1995. Semi-parametric estimation of polychotomous and sequential choice models. Journal of Econometrics 65: 381428.
  • Lewbel A. 1997. Constructing instruments for regressions with measurement error when no additional data are available, with an application to patents and R&D. Econometrica 65: 12011213.
  • Manski C. 1975. Maximum score estimation of the stochastic utility model of choice. Journal of Econometrics 3: 205228.
  • Manski C. 1985. Semiparametric analysis of discrete response: asymptotic properties of maximum score estimation. Journal of Econometrics 27: 313334.
  • Neal D. 1997. The effects of Catholic secondary schooling on educational attainment. Journal of Labor Economics 15: 98123.
  • Pagan A, Vella F. 1989. Diagnostic tests for models based on unit record data: a survey. Journal of Applied Econometrics 4: S29S60.
  • Powell J, Stock J, Stoker T. 1989. Semiparametric estimation of weighted average derivatives. Econometrica 57: 14031430.
  • Rigobon R. 2003. Identification through heteroscedasticity. Review of Economics and Statistics 85: 777792.
  • Rummery S, Vella F, Verbeek M. 1999. Estimating the returns to education for Australian youth via rank-order instrumental variables. Labour Economics 6: 491507.
  • Serfling RS. 1980. Approximation Theorems of Mathematical Statistics. Wiley: New York.
  • Silverman P. 1986. Density Estimation. Chapman & Hall: New York.
  • Vella F. 1994. Gender roles and human capital investment: the relationship between traditional attitudes and female labor market Performance. Economica 61: 191211.
  • Vella F. 1999. Do Catholic schools make a difference? Evidence from Australia. Journal of Human Resources 34: 208224.