A simulation-based method for testing an abnormally high incidence of specific choice patterns in discrete choice data
This paper introduces a simulation-based method designed to detect unusually high frequencies of specific choice patterns in discrete choice data. Its empirical size and power are then evaluated through a series of simulation exercises. The results show that the empirical size is consistently lower...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universidad del País Vasco |
| Repositorio: | Addi. Archivo Digital para la Docencia y la Investigación |
| OAI Identifier: | oai:addi.ehu.eus:10810/73588 |
| Acceso en línea: | http://hdl.handle.net/10810/73588 |
| Access Level: | acceso abierto |
| Palabra clave: | Choice experiment Choice patterns Simulation |
| Sumario: | This paper introduces a simulation-based method designed to detect unusually high frequencies of specific choice patterns in discrete choice data. Its empirical size and power are then evaluated through a series of simulation exercises. The results show that the empirical size is consistently lower than the assumed theoretical significance level, and that the test power approaches 100 % when the observed choice pattern appears approximately 2.5 times more frequently than expected. The proposed test is applied to a real data set obtained by means of a discrete choice experiment focused on air pollution in South Delhi, India. |
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