550 Discrete Choice Modeling
Allison, P. (2000) Problems with fixed-effects negative binomial models. Manuscript,
Department of Sociology, University of Pennsylvania.
Allison, P. and R. Waterman (2002) Fixed-effects negative binomial regression models.
Manuscript, Department of Sociology, University of Pennsylvania.
Amemiya, T. (1985)Advanced Econometrics. Cambridge, Mass.: Harvard University Press.
Andersen, E. (1970) Asymptotic properties of conditional maximum likelihood estimators.
Journal of the Royal Statistical Society, Series B 32 , 283–301.
Angrist, J. (2001) Estimation of limited dependent variable models with binary endogenous
regressors: simple strategies for empirical practice.Journal of Business and Economic Statistics
19 (1), 1–14.
Avery, R., L. Hansen, and J. Hotz (1983) Multiperiod probit models and orthogonality
condition estimation.International Economic Review 24 , 21–35.
Beck, N., D. Epstein and S. Jackman (2001) Estimating dynamic time series cross section
models with a binary dependent variable. Manuscript, Department of Political Science,
University of California, San Diego.
Ben-Akiva, M. and S. Lerman (1985)Discrete Choice Analysis. London: MIT Press.
Berndt, E., B. Hall, R. Hall and J. Hausman (1974) Estimation and inference in nonlinear
structural models.Annals of Economic and Social Measurement3/4, 653–65.
Berry, S., J. Levinsohn and A. Pakes (1995) Automobile prices in market equilibrium.
Econometrica 63 (4), 841–90.
Bertschek, I. and M. Lechner (1998) Convenient estimators for the panel probit model.
Journal of Econometrics 87 (2), 329–72.
Bhat, C. (1995) A heteroscedastic extreme value model of intercity mode choice.Transporta-
tion Research 30 (1), 16–29.
Bhat, C. (1996) Accommodating variations in responsiveness to level-of-service mea-
sures in travel mode choice modeling. Department of Civil Engineering, University of
Massachusetts, Amherst, Working Paper.
Bhat, C. (1999) Quasi-random maximum simulated likelihood estimation of the mixed multi-
nomial logit model. Manuscript, Department of Civil Engineering, University of Texas,
Austin.
Breusch, T. and A. Pagan (1979) A simple test for heteroscedasticity and random coefficient
variation.Econometrica 47 , 1287–94.
Breusch, T. and A. Pagan (1980) The LM test and its applications to model specification in
econometrics.Review of Economic Studies 47 , 239–54.
Boyes, W., D. Hoffman and S. Low (1989) An econometric analysis of the bank credit scoring
problem.Journal of Econometrics 40 , 3–14.
Butler, J. and P. Chatterjee (1995) Pet econometrics: ownership of cats and dogs. Department
of Economics, Vanderbilt University, Working Paper 95-WP1.
Butler, J. and P. Chatterjee (1997) Tests of the specification of univariate and bivariate ordered
probit.Review of Economics and Statistics 79 , 343–7.
Butler, J., T. Finegan and J. Siegfried (1998) Does more calculus improve student learning
in intermediate micro- and macroeconomic theory?Journal of Applied Econometrics 13 (2),
185–202.
Butler, J. and R. Moffitt (1982) A computationally efficient quadrature procedure for the one
factor multinomial probit model.Econometrica 50 , 761–64.
Calhoun, C. (1991) Desired and excess fertility in Europe and the United States: indirect
estimates from world fertility survey data.European Journal of Population 7 , 29–57.
Cameron, A. and P. Trivedi (1986) Econometric models based on count data: comparisons
and applications of some estimators and tests.Journal of Applied Econometrics 1 , 29–54.
Cameron, C. and P. Trivedi (1998)Regression Analysis of Count Data. New York: Cambridge
University Press.
Caudill, S. (1988) An advantage of the linear probability model over probit or logit.Oxford
Bulletin of Economics and Statistics 50 ,425–7.