David Rey

Research

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My research focuses on the intersection of real estate economics, urban analytics, and data science, with a particular emphasis on the Spanish housing market. I have worked extensively on improving housing price modeling by incorporating advanced statistical and machine learning techniques, developing robust methods for spatial market segmentation, and exploring the impact of urban morphology on market behavior.

A significant portion of my work involves constructing and validating housing price indexes, analyzing regional housing market conditions, and examining the effects of public policies such as rent control. I also emphasize reproducible research practices and the use of large-scale, geo-referenced datasets to address urban and real estate challenges.

My publications contribute to both methodological innovation and practical applications, aiming to join computational approaches such as deep learning or statistical learning with classical econometrics. Providing insights and new tools for policymakers, industry stakeholders, and academic audiences interested in urban housing markets, accessibility, and socio-economic dynamics in cities.

📄 Publications

Below is a selection of your 17 most notable works from my Google Scholar profile:

  1. Improving hedonic housing price models by integrating optimal accessibility indices into regression and random forest analyses (2024)

    Expert Systems with Applications, Vol. 235, Article 121059

  2. Lessons from an aborted second-generation rent control in Catalonia (2022)

    DIW Berlin Discussion Paper

  3. Using machine learning to identify spatial market segments. A reproducible study of major Spanish markets (2023)

    Environment and Planning B: Urban Analytics and City Science

  4. Regional housing market conditions in Spain (2020)

    SSRN Working Paper 3724178

  5. Intra‑urban house prices in Madrid following the financial crisis: an exploration of spatial inequality (2024)

    npj Urban Sustainability, Vol. 4(26)

  6. Relationship between rental prices on real estate portals and market prices. Evidence for the Community of Madrid (2024)

    EURE (Santiago), Vol. 50(150), pp. 1–23

  7. Impact of urban morphology on housing market segmentation: case study of Madrid (2024)

    Ciudad y Territorio Estudios Territoriales, Vol. 56(221), pp. 877–896

  8. A geo‑referenced micro‑data set of real estate listings for Spain’s three largest cities (2024)

    Environment and Planning B: Urban Analytics and City Science, Vol. 51(6), pp. 1369–1379

  9. (English) Relationship between rental prices on real estate portals and market prices. Evidence for the Community of Madrid (2024)

    EURE – Latin American Journal of Urban and Regional Studies, Vol. 50(150), p. 23

  10. Methodology for estimating time-to-sale using survival models (2024)

    INVI, Vol. 39(110), pp. 164–202

  11. Methodology construction: robust, segmented, small-scale housing price indexes based on hedonic valuation models (2024)

    UNED Doctoral Thesis

  12. The role of the private sector in completing knowledge of the real estate market. The Idealista case (2024)

    ÍNDICE, pp. 45–48

  13. Optimization method in the selection of temporal disaggregation methods (2022)

    Paper presented at the IX International AECA Conference

  14. Methodology for constructing residential rental housing price indexes (2021)

    AECA Publication

  15. Methodology for estimating rental housing price indexes (2021)

    AECA: Journal of the Spanish Association of Accounting and Business Administration

  16. Automatic optimization method for selecting temporal disaggregation methods (2022)

    AECA article (possibly duplicate of #13)

🔗 Profiles

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