Examinando por Materia "Precios de vivienda"

Mostrando 1 - 4 de 4
  • No hay miniatura disponible
    Ítem
    Análisis económico de la relación entre la expansión de Airbnb y los precios de la vivienda nueva en siete ciudades de Colombia entre 2016 y 2022
    (Universidad EAFIT, 2023) Mena Moreno, Luis Enrique; Arias Araque, Lorena Andrea; Chaparro Cardona, Juan Camilo
  • Miniatura
    Ítem
    Determinants of New Housing Prices in Bogotá for 2019: an Approach Through a Semiparametric Spatial Regression Model
    (Universidad EAFIT, 2021-12-01) Tolaza-Delgado, Jurgen; Melo-Martínez, Oscar; Azcarate-Romero, Juan; Universidad Nacional de Colombia; Universidad Nacional de Colombia; Universidad Nacional de Colombia
    This document uses the recent advances in the field of spatial econometrics to develop a semi-parametric regression model that allows the inclusion of non-linearities and the modeling of spatial heterogeneity through a two-dimensional function that depends on geographic coordinates. The methodology is applied in a hedonic model for the price of new housing in Bogotá where a remarkable fit is obtained, in terms of the mean square error and the R2. The empirical result shows that the housing delivery condition, stratum, and construction state affect the price in a linear way, while the area, and the distances to parks, roads and Transmilenio stations present non-linear results, additionaly, it was possible to model the spatial trend that represents the location on the value of  the house where an increase is appreciated towards the northeast of the city. Thus, it is concluded that the estimated model allows the relationship between the explanatory variables and the dependent variable to be measured flexibly, establishing itself as a good alternative to understand the formation of prices in the real estate market.
  • No hay miniatura disponible
    Ítem
  • No hay miniatura disponible
    Ítem
    Oferta de vivienda y Covid-19 : evidencia para Colombia
    (Universidad EAFIT, 2022) Restrepo Ramírez, Esteban; Sánchez Saldarriaga, Andrés Felipe
    This paper researches the effects of the COVID-19 in Colombian new housing market, given the importance of this market in the economic reactivation after the economic shock of the pandemic. This sector reached during 2021 an all-time peak, pushed up by the incentives and expansive policy implemented by the government of Iván Duque. Literature and empiric models about the behavior of the housing market and pandemic are linked and reviewed and finally a fixed effects panel is developed based on the inverse demand function methodology proposed by Allen-Coghlan and McQuinn (2020). In this model, price is taken as the dependent variable and is explained by variables such as the number of new cases, the number of doses of vaccines administered, the number of loans granted, and interest rates for home purchase, taking seven cities as the sample. The model shows that there is an inverse relationship between the number of new infections and the price of housing and a direct relationship between the doses administered and the price.