Análisis de los tiempos de vacancia en el sector del Chico en Bogotá D.C, de acuerdo con el Modelo Geográficamente Ponderado (GWR)

Abstract

For Borrero Ochoa & Asociados, it is very important to know the dynamics of the local markets where they have the majority of their real estate inventory so that when making investment decisions about their portfolio they have a real probabilistic and mathematical support to help them take these, in this process a spatial linear regression model was constructed that could predict with a high level of reliability the vacancy periods of the properties according to their type characteristics and location, specifically for this the sector of "El Chico" was selected. where the company has the great part of its real estate inventory and is where it makes presence capturing and leasing real estate. With the Weighted Geographical Regression model (GWR) which was worked under the software Geoda software that is very convenient since it is OpenSource, for the modeling a statistical debugging was carried out from the primary source of information that is to say that atypical data were removed for that the resulting sample had the largest amount of data and additionally lacked the noise generated by atypical data with these was predicted with an acceptable level of confidence the periods of rotation of a database provided by real estate gallery and data of Borrero Ochoa, with the which it is expected that the commercial director of the company can make predictions about the expenses and efforts that each acquired property requires and make decisions about subsectors in particular that are not profitable due to its high placement cost and its low rotation in the market. In addition, this model will help Borrero Ochoa & Asociados to generate up-to-date information on the "El Chico" sector regarding its offer and vacancy periods.