These papers give the theoretical underpinning for the methods and algorithms used in ALOGIT and are referenced in the User Guide.

Daly, A.J. and S. Zachary (1978) Improved Multiple Choice Models, in D.A. Hensher and M.Q. Dalvi (eds.), Determinants of Travel Choice, Saxon House. The __original 1976 conference paper is available here__.

Daly, A.J. (1982) Estimating Choice Models Containing Attraction Variables, Transportation Research Vol. 16B, 1. This paper references Berndt, E.U., Hall, B.H., Hall, R.E. and Hausman, J.A. (1974) Estimation and inference in nonlinear structural models, Annals of Economic and Social Measurement 3-4, pp. 653-665. These authors are often referred to as BHHH.

Daly, A. J. (1987) Estimating ‘Tree’ Logit Models, Transportation Research, 21B, pp 251- 267.

Daly, A. and Hess, S. (2016) Simple approaches for random utility modelling with panel data, __not published but available here__.

Kristoffersson, I., Daly, A. and Algers, S. (2018) Modelling the attraction of travel to shopping destinations in large-scale models, Transport Policy, Vol. 68, pp. 52-62.

Hess, S., Daly, A. and Batley, R. (2018) Revisiting consistency with random utility maximisation: theory and implications for practical work, Theory and Decision.