Easy and flexible mixture distributions

Mogens Fosgerau; Stefan L. Mabit

doi:10.1016/j.econlet.2013.03.050

Easy and flexible mixture distributions

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Abstract

We propose a method to generate flexible mixture distributions that are useful for estimating models such as the mixed logit model using simulation. The method is easy to implement, yet it can approximate essentially any mixture distribution. We test it with good results in a simulation study and on real data.

Original language	English
Journal	Economics Letters
Volume	120
Issue number	2
Pages (from-to)	206-210
ISSN	0165-1765
DOIs	https://doi.org/10.1016/j.econlet.2013.03.050
Publication status	Published - Aug 2013

Keywords

Mixture distributions
Mixed logit
Simulation
Maximum simulated likelihood

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10.1016/j.econlet.2013.03.050

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title = "Easy and flexible mixture distributions",

abstract = "We propose a method to generate flexible mixture distributions that are useful for estimating models such as the mixed logit model using simulation. The method is easy to implement, yet it can approximate essentially any mixture distribution. We test it with good results in a simulation study and on real data.",

keywords = "Mixture distributions, Mixed logit, Simulation, Maximum simulated likelihood",

author = "Mogens Fosgerau and Mabit, \{Stefan L.\}",

year = "2013",

month = aug,

doi = "10.1016/j.econlet.2013.03.050",

language = "English",

volume = "120",

pages = "206--210",

journal = "Economics Letters",

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T1 - Easy and flexible mixture distributions

AU - Fosgerau, Mogens

AU - Mabit, Stefan L.

PY - 2013/8

Y1 - 2013/8

N2 - We propose a method to generate flexible mixture distributions that are useful for estimating models such as the mixed logit model using simulation. The method is easy to implement, yet it can approximate essentially any mixture distribution. We test it with good results in a simulation study and on real data.

AB - We propose a method to generate flexible mixture distributions that are useful for estimating models such as the mixed logit model using simulation. The method is easy to implement, yet it can approximate essentially any mixture distribution. We test it with good results in a simulation study and on real data.

KW - Mixture distributions

KW - Mixed logit

KW - Simulation

KW - Maximum simulated likelihood

U2 - 10.1016/j.econlet.2013.03.050

DO - 10.1016/j.econlet.2013.03.050

M3 - Journal article

SN - 0165-1765

VL - 120

SP - 206

EP - 210

JO - Economics Letters

JF - Economics Letters

IS - 2

ER -

Easy and flexible mixture distributions

Abstract

Keywords

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