rmdcev: 'rmdcev': Estimating and simulating Kuhn-Tucker and multiple...

In rmdcev: Kuhn-Tucker and Multiple Discrete-Continuous Extreme Value Models

'rmdcev': Estimating and simulating Kuhn-Tucker and multiple discrete-continuous extreme value (MDCEV) demand models

Description

The 'rmdcev' R package estimates and simulates Kuhn-Tucker demand models with individual heterogeneity. The models supported by 'rmdcev' are the multiple-discrete continuous extreme value (MDCEV) model and Kuhn-Tucker specification common in the environmental economics literature on recreation demand. Latent class and random parameters specifications can be implemented and the models are fit using maximum likelihood estimation or Bayesian estimation. All models are implemented in 'Stan' (see Stan Development Team, 2019) <https://mc-stan.org/>. The 'rmdcev' package also implements demand forecasting (Pinjari and Bhat (2011) <https://repositories.lib.utexas.edu/handle/2152/23880>) and welfare calculation (Lloyd-Smith (2018) <doi:10.1016/j.jocm.2017.12.002>) for policy simulation.

Author(s)

Maintainer: Patrick Lloyd-Smith [e-mail]

Other contributors:

• Trustees of Columbia University [copyright holder]

See Also

Useful links:

• https://github.com/plloydsmith/rmdcev

• Report bugs at https://github.com/plloydsmith/rmdcev/issues

rmdcev documentation built on Sept. 15, 2026, 1:06 a.m.