LCL is a high-performance Python package for estimating latent-class conditional logit models. Built for researchers and econometricians handling large discrete choice datasets, LCL employs JAX for ...
U(z, H_t) = θ₁·d(z, Z_{t-1}^opp) # lag-1 cross-color distance + θ₂·d(z, Z_{t-2}^own) # lag-2 same-color distance + θ₃·Δown(z, Z_{t-1}) # own-density diff ...
Steele, F., Washbrook, E., Charlton, C. and Browne, W.J. A longitudinal mixed logit model for estimation of push and pull effects in residential location choice. Choice of residential location ...
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