Determining elements of housing satisfaction in Mexico: analysis by estimating an Ordered Probit Model
This paper performs an analysis of the elements that determine housing satisfaction, as well as evaluates the probability that a household may be satisfied with it. For this purpose, an Ordered Probit Model was estimated. The data was collected from the National Housing Survey, 2020. In particular,...
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | México |
| Institución: | UNIVERSIDAD DE GUADALAJARA |
| Repositorio: | Viviendas y Comunidades Sustentables |
| Idioma: | español |
| OAI Identifier: | oai:www.revistavivienda.cuaad.udg.mx:article/251 |
| Acceso en línea: | https://revistavivienda.cuaad.udg.mx/index.php/rv/article/view/251 |
| Access Level: | acceso abierto |
| Palabra clave: | housing satisfaction ordered probit model econometrics satisfacción de la vivienda modelo probit ordenado econometría |
| Sumario: | This paper performs an analysis of the elements that determine housing satisfaction, as well as evaluates the probability that a household may be satisfied with it. For this purpose, an Ordered Probit Model was estimated. The data was collected from the National Housing Survey, 2020. In particular, this paper estimates the probability of satisfaction concerning specific variables to the housing and the environment. The main findings are households in lower socioeconomic levels are the most dissatisfied with their housing. When estimating the Ordered Probit Model, it is found that having a dining room, garage, water tank, and garden increases the probability of satisfaction, while suffering from humidity and subsidence decreases levels of satisfaction. Likewise, the presence of garbage and noise in the area decreases the probability of satisfaction. |
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