stratEst: Strategy Estimation in R

Fabian Dvorak

No 119, TWI Research Paper Series from Thurgauer Wirtschaftsinstitut, Universität Konstanz

Abstract: stratEst is a software package for the estimation of finite mixture models of discrete choice strategies in the statistical computing environment R. Discrete choice strategies can be customized by the user to fit the environment in which choices are made. The parameters of the strategy estimation model describe the behavior of each strategy and how frequent each strategy is in the population. The estimation function of the package uses the expectation maximization algorithm and the Newton-Raphson method to find the maximum likelihood estimates of the model parameters. The estimation function can also be used to fit a strategy estimation model with individual level covariates to explain the selection of strategies by individuals. The package contains functions for data processing and simulation, strategy generation, parameter tests, model checking, and model selection.

Keywords: discrete choice strategies; finite mixture model; R (search for similar items in EconPapers)
Date: 2020
New Economics Papers: this item is included in nep-dcm
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.twi-kreuzlingen.ch/wp-content/uploads/2020/10/twi-rps-119-dvorak.pdf

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:twi:respas:0119

Access Statistics for this paper

More papers in TWI Research Paper Series from Thurgauer Wirtschaftsinstitut, Universität Konstanz Contact information at EDIRC.
Bibliographic data for series maintained by Urs Fischbacher ().