Price and spatial distribution of office rental in MadridA decision tree analysis

  1. Máximo Camacho 1
  2. Salvador Ramallo 1
  3. Manuel Ruiz 2
  1. 1 University of Murcia, Spain.
  2. 2 University of Cartagena, Spain.
Revista:
Economía

ISSN: 0254-4415

Año de publicación: 2021

Volumen: 44

Número: 87

Páginas: 20-40

Tipo: Artículo

DOI: 10.18800/ECONOMIA.202101.002 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Economía

Objetivos de desarrollo sostenible

Resumen

In this paper, we assess the drivers of office rental prices in the municipality of Madrid with asample of 4,721 offices in March, 2020. The estimation was performed using the decision treeapproach, which was built with a random forest algorithm. This technique allows us to capturethe strong nonlinear component in the relation between price and its drivers, mainly geospatiallocation. Through a stratified analysis, we find out that the willingness to pay high rent in thecenter of Madrid is a feature of particular relevance to medium-sized offices. For different reasons,we also find out some office clusters located far from the city center with high rent for both largeand small offices.

Fuente de los datos: Dialnet