Easy and flexible mixture distributions
AbstractWe 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 46078.
Date of creation: 2013
Date of revision:
Mixture distributions; mixed logit; simulation; maximum simulated likelihood;
Other versions of this item:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-04-13 (All new papers)
- NEP-DCM-2013-04-13 (Discrete Choice Models)
- NEP-ECM-2013-04-13 (Econometrics)
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