Economía

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e-ISSN: 2304-4306

ECONOMÍA Journal was initially established as the “Revista Economía” of the Department of Economics of the Pontificia Universidad Católica of Peru (PUCP) in 1977. It is the oldest academic journal on economics in the country. Building on that legacy, ECONOMÍA has now been relaunched as an internationally refereed journal dedicated to publishing original academic research on economics in English, with an expanded and prestigious Editorial Board, as well as a large team of Associated Editors that guarantee the highest theoretical and methodological standards.

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Author: search.filters.author.Camacho, MáximoStart date: 2020

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    Price and Spatial Distribution of Office Rental in Madrid: A Decision Tree Analysis
    (Pontificia Universidad Católica del Perú, 2021-05-06) Camacho, Máximo; Ramallo, Salvador; Ruiz, Manuel
    In this paper, we assess the drivers of office rental prices in the municipality of Madrid with a sample of 4,721 offices in March, 2020. The estimation was performed using the decision tree approach, which was built with a random forest algorithm. This technique allows us to capture the strong nonlinear component in the relation between price and its drivers, mainly geospatial location. Through a stratified analysis, we find out that the willingness to pay high rent in the center of Madrid is a feature of particular relevance to medium-sized offices. For diferent reasons, we also find out some office clusters located far from the city center with high rent for both large and small offices.
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    Price and Spatial Distribution of Office Rental in Madrid: A Decision Tree Analysis
    (Pontificia Universidad Católica del Perú. Fondo Editorial, 2021-05-06) Camacho, Máximo; Ramallo, Salvador; Ruiz, Manuel
    In this paper, we assess the drivers of office rental prices in the municipality of Madrid with a sample of 4,721 offices in March, 2020. The estimation was performed using the decision tree approach, which was built with a random forest algorithm. This technique allows us to capture the strong nonlinear component in the relation between price and its drivers, mainly geospatial location. Through a stratified analysis, we find out that the willingness to pay high rent in the center of Madrid is a feature of particular relevance to medium-sized offices. For diferent reasons, we also find out some office clusters located far from the city center with high rent for both large and small offices.