Elementos determinantes de la satisfacción de la vivienda en México: análisis estimando un Modelo Probit Ordenado

Abstract

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, carried out by the National Institute of Statistics and Geography in Mexico. 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. The relevance of taking these statistical approaches lies in the fact that they become a tool that facilitates the targeting of housing policy, allowing adequate management of programs and projects associated with improving the quality of life.