Examinando por Autor "Garcia, John"
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Ítem Efectos del crédito hipotecario sobre el precio de la vivienda nueva NO VIS en Medellín(Universidad EAFIT, 2018-11) Garcia, John; Cadavid, Natalia; Aristizábal, Erika; jgarcia@eafit.edu.coExploring the credit factors in new housing NO VIS, allows different views of social dynamics that facilitate access or not to it. In this sense, determine the effects of the mortgage loan on the price of new non-VIS housing in the city of Medellin for the period between 2009, and the first half of 2017; beyond allowing us to show that these variables are inversely related, it allows us to identify other economic factors relevant to this study. The methodology used for this research was based on the supply and demand functions, in order to establish the relationship between the mortgage rate and the price per square meter for new housing NO VIS. Using an autoregressive moving average model and three-stage least squares model, it is evident that the variable with the greatest impact on housing prices is the Mortgage Rate, presenting a negative relationship for both the supply and demand functions.Ítem Redes inteligentes y mecanismo de respuesta de la demanda: el caso del sector eléctrico colombiano Smart grids and demand response mechanism: the case of the Colombian electricity market ?(Universidad EAFIT, 2018-11) Garcia, John; Gutiérrez, Alejandro; Velasquez, Hermilson; Vargas, Luisa; jgarcia@eafit.edu.coSmart grids now figure prominently in the international debate on the design and regulation of electricity markets. This paper analyzes the potential effects of implementing a demand response mechanism in the Colombian wholesale electricity market with characteristics similar to that of the PJM market. Using time series models and controlling for the high volatility presented in the spot price, we estimate that such a mechanism could yield significant economic savings for customers. For example, if the demand response mechanism had been implemented during 2015, the spot price in peak hours would have been 30% lower and customers would have saved approximately COP $99.000 million.