Examinando por Materia "Price Formation"

Mostrando 1 - 2 de 2
  • No hay miniatura disponible
    Publicación
    Efectos espaciales en la formación de precios en mercados minoristas de Gas Natural Vehicular
    (Universidad EAFIT, 2015-07-15) García, John J.; Montenegro, Carlos M.; Velásquez, Hermilson
    The gas distribution system for natural gas vehicles (NGV) in the Service Stations (EDS) in Colombia is highly concentrated, which gives the retail distributors market power. The pricing mechanism appears to approximate a Bertrand type of oligopolistic model, with a dominant firm setting the prices. The geographical location of the EDS generates strategies that influence price formation. In this research, a spatial contiguity matrix is designed, which includes socio-economic and distance characteristics, related to the EDS geographic location. We use a spatial panel model of Durbin type, which includes fundamental variables to explain the GNV price formation.
  • No hay miniatura disponible
    Publicación
    Factor de negociación en el mercado inmobiliario de Medellín, Colombia : identificación de patrones espaciales mediante el modelo Kriging de interpolación geoestadística
    (Universidad EAFIT, 2025) Harry, Juan José; Agudelo Torres, Jorge Enrique; Giraldo Hernández, Gina María
    This study analyzes the Negotiation Factor (FDN), internationally known as Degree of Overpricing (DOP), in the real estate market of Medellín. Initially, traditional valuation techniques such as Ordinary Least Squares (OLS) regression were assessed, followed by an evaluation of spatial methodologies, including spatial econometrics and geostatistical methods. Ultimately, Kriging spatial interpolation was selected as the primary method, complemented by technological tools such as Geographic Information Systems (GIS), to process, integrate, and georeference spatial data from real estate transactions recorded in 2024, alongside key variables influencing property price formation. The main objective was to investigate whether the FDN follows specific spatial correlation patterns or if it results from random market conditions. The results revealed significant spatial autocorrelation of the FDN, influenced by factors such as location, accessibility, and urban environmental attributes. These findings provide practical tools for optimizing negotiation strategies, property valuation, and urban planning.