Depreciation Method Based on Information Asymmetry and Adverse Selection

This dataset was developed to analyze the depreciation of electric vehicles (EVs) in the Colombian market, focusing specifically on how perceived information asymmetry affects resale values. Data collection was carried out using web scraping techniques on e-commerce platforms, primarily Mercado Libre and TuCarro, capturing EV sales information between 2019 and 2024. Key Variables: Brand: Brand of the electric vehicle (e.g., Audi, BMW, BYD). Model: Year of the vehicle model. Initial Price: Launch price of the vehicle at the time of release. Current Price: Resale price of the vehicle on e-commerce platforms. Accumulated Kilometers: Total mileage of the vehicle at the time of resale. This dataset is part of a broader research project funded by Fundación Universitaria Los Libertadores, titled "Depreciation Model for Electric Vehicles in Colombia." This project aims to develop a more accurate depreciation model that considers market dynamics, consumer perceptions, and technological advancements.