Formulación de un modelo econométrico Espacial para la valoración de apartamentos en la Ciudad de Medellín
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Resumen
The internship degree Project “Formulation of a spatial econometric model for the valuation of apartments in the city of Medellin", has the purpose of applying a spatial econometric model for the valuation of apartments in the city of Medellín for strata 3 to the 6 and propose the process of using this model within the company GESVALT LATAM, place where the internship was carried out satisfactorily. To carry out the formulation of a spatial econometric model for the valuation of apartments in the city of Medellín and achieve the proposed objectives, the following stages were proposed: First, the technical and logistical processes of GESVALT LATAM were known and identified, as well as As well as the available real estate valuation tools, secondly, a compilation and exploratory analysis of data, real and available, of samples of apartment appraisals was made, in order to advance to the third stage and have basic information to make an approximation To the formation of the commercial value of the apartments from an econometric model and finally counting on the georeferencing information of each sample (latitude and longitude), it is proposed to make a spatial regression model and check its reliability from control samples. The evaluation of the SEM model was carried out from the estimation of the square meter value based on the estimated explanatory variables, in contrast to the square meter value calculated from 152 traditional appraisals carried out during the months of August, September and October. of 2021 in the municipality of Medellín in strata 3,4,5 and 6 by valuation experts associated with GESVALT LATAM. The results of the estimates and evaluation of the 152 appraisals could be observed that 22% of the estimates of the square meter value through the SEM model have a difference greater than 15% with respect to the square meter value of the traditional appraisal and counterpart 78% of the estimates show a variation of less than 15%.