MIXMIXLOGIT: Stata module to estimate mixed-mixed multinomial logit model

Timothy Neal

Statistical Software Components from Boston College Department of Economics

Abstract: mixmixlogit is a Stata command that implements the mixed-mixed multinomial logit model (MM-MNL) for binary dependent variable data. It was first proposed in Keane and Wasi (2013) and Greene and Hensher (2013), and applied recently in Keane et al. (2020). It generalises both 'mixed logit' and 'latent class logit' by allowing for multiple latent types in the underlying data that are each characterised by a distribution of random parameters (as opposed to latent class logit, which assumes a homogeneous coefficient vector for each latent type, and mixed logit that allows for a distribution of random parameters for a single type of consumer or agent).

Language: Stata
Requires: Stata version 11
Keywords: Choice Modelling; Panel Data; Parameter Heterogeneity; Classification (search for similar items in EconPapers)
Date: 2020-02-28
Note: This module should be installed from within Stata by typing "ssc install mixmixlogit". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/m/mixmixlogit.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mixmixlogit_d1.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mixmixlogit.sthlp help file (text/plain)

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