A sample of 632 American production units

datasets

Maximum likelihood estimation of random utility discrete
choice models. The software is described in Croissant (2020)
<doi:10.18637/jss.v095.i11> and the underlying methods in
Train (2009) <doi:10.1017/CBO9780511805271>.

Yves Croissant

mlogit

Multinomial Logit Models

NOx function

A dataframe containing:
- chid: the plant id,
- alt: the alternative,
- id: the owner id,
- choice: the
chosen alternative,
- available: a dummy indicating that the alternative is
available,
- env: the regulatory environment, one of `'regulated'`,
`'deregulated'` and `'public'`,
- post: dummy for post-combustion polution control technology,
- cm: dummy for combustion modification technology,
- lnb: dummy for low NOx burners technology,
- age: age of the plant (in deviation from the mean age).,
- vcost: variable cost,
- kcost: capital cost.

NOx: Technologies to reduce NOx emissions

Description

Arguments

Format

References