Gu, Y., Fiebig, D.G., Cripps, E. and Kohn, R. (2008), “Bayesian estimation of a random effects heteroscedastic probit model”, forthcoming The Econometrics Journal.
Cripps, E., Fiebig, D.G. and R. Kohn “Parsimonious estimation of the covariance matrix in multinomial probit models”, forthcoming Econometric Reviews.
Clarke, P.M., Fiebig, D.G. and Gerdtham, U.G., (2008), “Optimal recall length in survey design”, Journal of Health Economics, 27, 1275-1284.
King, M.T., Hall, J.P., Lancsar, E.J., Fiebig, D.G., Hossain, I., Louviere, J.J., Reddell, H.K. and Jenkins, C.R., (2007), “Patient preferences for managing asthma: Results from a discrete choice experiment”, Health Economics, 16, 703-717.
Bartels, R., Fiebig, D.G. and van Soest, A. (2006), “Consumers and experts: An econometric analysis of the demand for water heaters”, Empirical Economics, 31, 369-391.
Hall, J.P., Fiebig, D.G., King, M., Hossain, I. and Louviere, J.J., (2006), “What influences participation in genetic carrier testing? Results from a discrete choice experiment”, Journal of Health Economics, 25, 520-537.
Belkar, R., Fiebig, D.G., Haas, M. and Viney, R., (2006), “Why worry about awareness in choice problems? Econometric analysis of screening for cervical cancer”, Health Economics, 15, 33-47.
Louviere, J.J., Train, K., Ben-Akiva, M., Bhat, C., Brownstone, D., Cameron, T.A., Carson, R., DeShazo, G., Fiebig, D.G., Greene, W., Hensher, D. and Waldman, D., (2005), “Recent progress on endogeneity in choice modelling”, Marketing Letters, 16, 255-265.
Dancer, D. and Fiebig, D.G., (2004), “Modelling students at risk”, Australian Economic Papers, 43, 158-173.
Bewley, R. and Fiebig, D.G., (2002), “On the herding instinct of interest rate forecasters”, Empirical Economics, 27, 403-425.
Islam T., Fiebig, D.G., and Meade N., (2002), “Modelling multinational telecommunication demand with limited data”, International Journal of Forecasting 18, 605-624.
Islam, T. and Fiebig, D.G., (2001), “Modelling the development of supply-restricted telecommunication markets”, Journal of Forecasting 20, 249-264.
Fiebig, D.G. (2001), “Seemingly unrelated regression”, in Companion in Theoretical Econometrics, B.H. Baltagi ed., Basil Blackwell: Oxford.
Fiebig, D.G. and Kim, J.H., (2000), “Estimation and inference in SUR models when the number of equations is large”, Econometric Reviews, 19, 105-130.
Bartels, R. and Fiebig, D.G., (2000), “Residential end-use electricity demand: Results from a designed experiment”, The Energy Journal 21(2), 51-81.
Bartels, R., Fiebig, D.G. Plumb, M., (1996), “Gas or electricity, which is cheaper?: An econometric approach with application to Australian expenditure data”, The Energy Journal, 17(4), 33-58.
Fiebig, D.G., Bartels, R. and Krämer, W., (1996), “The Frisch-Waugh theorem and generalized least squares”, Econometric Reviews, 15, 431-443.
Bauwens, L., Fiebig, D.G. and Steel M.F.J., (1994), “Estimating end-use demand: A Bayesian approach”, Journal of Business and Economic Statistics, 12, 221-231.
Fiebig, D.G., Keane, M.P., Louviere, J.J. and Wasi, N. (2007), “The generalized multinomial logit model”, paper presented at the 2007 INFORMS Marketing Science Conference, Singapore, July 2007.
Fiebig, D.G., Savage, E. and Viney, R., “Does the reason for buying health insurance influence behaviour”, 2006.