David T. Jacho-Chávez and Pravin K. Trivedi 815Deb, P. and P.K. Trivedi (2006b) Specification and simulated likelihood estimation of a non-
normal treatment-outcome model with selection: application to health care utilization.
Econometrics Journal 9 (2), 307–31.
Doornik, J. (2006) The role of simulation in econometrics. In T.C. Mills and K. Patterson (eds.),
Palgrave Handbook of Economics: Econometric Theory, Volume 1, pp. 787–811. Basingstoke:
Palgrave Macmillan.
Drukker, D. and R. Gates (2006) Generating Halton sequences using Mata.Stata Journal 6 (2),
214–28.
Frühwirth-Schnatter, S. (2006)Finite Mixture and Markov Switching Models(first edition).
Springer Series in Statistics. Heidelberg: Springer.
Gerfin, M. (1996) Parametric and semi-parametric estimation of the binary response model
of labour market participation.Journal of Applied Econometrics 11 (3), 321–39.
Geweke, J. (1992) Evaluating the accuracy of sampling-based approaches to the calculation
of posterior moments (with discussion). In J. Bernardo, J. Berger, A.P. Dawid and A.F.M.
Smith (eds.),Bayesian Statistics, Volume 4, pp. 169–93. Oxford: Oxford University Press.
Geweke, J. (2005)Contemporary Bayesian Econometrics and Statistics(first edition). New York:
Wiley.
Gouriéroux, C. and A. Monfort (1996)Simulation Based Econometrics Methods(first edition).
New York: Oxford University Press.
Greene, W.H. (2004a) The behaviour of the fixed effects estimator in nonlinear models.
Econometrics Journal 7 (1), 98–119.
Greene, W.H. (2004b) Fixed effects and the incidental parameters problem in the tobit model.
Econometric Reviews 23 (2), 125–48.
Hajivassiliou, V., D. McFadden and P. Ruud (1996) Simulation of multivariate normal rect-
angle probabilities and their derivatives: theoretical and computational results.Journal of
Econometrics 72 (1–2), 85–134.
Härdle, W., P. Hall and H. Ichimura (1993) Optimal smoothing in single-index models.Annals
of Statistics 21 (1), 157–78.
Hastie, T. (2006)GAM: Generalized Additive Models. R package version 0.98.
Hayfield, T. and J.S. Racine (2007)NP: Nonparametric Kernel Smoothing Methods for Mixed
Datatypes. R package version 0.13–1.
Ho, M. (1995) Essays on the housing market. Unpublished Ph.D. dissertation, University of
Toronto.
Horowitz, J.L. (1998)Semiparametric Methods in Econometrics. Volume 131 of Lectures Notes
in Statistics. New York: Springer-Verlag.
Hotz, V. and R. Miller (1993) Conditional choice probabilities and the estimation of dynamic
models.Review of Economic Studies 60 (3), 497–529.
Huynh, K. and D. Jacho-Chávez (2007) Conditional density estimation: an application to the
Ecuadorian manufacturing sector.Economics Bulletin 3 (62), 1–6.
Ichimura, H. (1993) Semiparametric least squares (SLS) and weighted SLS estimation of single
index models.Journal of Econometrics. 58 , 71–120.
Keane, M.P. (1994) A computationally practical simulation estimator for panel data.Econo-
metrica 62 (1), 95–116.
Keane, M. and K. Wolpin (1994) The solutions and estimation of discrete choice dynamic
programming models by simulation and interpretation: Monte Carlo evidence.Review of
Economic Studies 76 (4), 648–72.
Klein, R.W. and R.H. Spady (1993) An efficient semiparametric estimator for binary response
models.Econometrica 61 (2), 387–421.
Li, Q. and J. Racine (2003) Nonparametric estimation of distributions with categorical and
continuousdata.Journal ofMultivariateAnalysis 86 (2), 266–92.
Li, Q. and J.S. Racine (2007)Nonparametric Econometric: Theory and Practice(first edition).
Princeton: Princeton University Press.
Lindsay, B.G. (1983) The geometry of mixture likelihoods: a general theory.Annals of Statistics
11 (1), 86–94.