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Replay
WEBINAR ALTER PROPERTY DATA : TO WHAT EXTENT DO ALTERNATIVE TECHNICS ENABLE TO FOLLOW EVOLUTIONS OF REAL ESTATE AND CONSTRUCTION IN EMERGING AND DEVELOPING COUNTRIES?
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2. Daniela M. Behr, Lixue Chen, Ankita Goel, Khondoker Tanveer Haider, Sandeep Singh & Asad Zaman (World Bank): Estimating House Prices in Emerging Markets and Developing Economies A Big Data Approach
Voir la vidéo![](https://img.youtube.com/vi/0z5SLsrKysU/hqdefault.jpg)
3. Peter Egger, Susie Xi Rao & Sebastiano Papini : Building Floorspace in China: A Dataset and Learning Pipeline
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4. Othmane Aouassar & Ihsane Squalli (Quantcube company) : Tracking of urban developments with satellite data
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5. Alexandre Banquet (OECD): Presentation of stylized facts on the evolution of built areas in emerging countries cities with satellite data & Presentation of main results on a few emerging countries from the article “Expanding the Doughnut? The Impact of Remote Work and COVID-19 on the Geography of Housing Demand”
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6. Peter Reusens (National Bank of Belgium): A new framework to disentangle the impact of changes in dwelling characteristics on house price indices
Voir la vidéo![](https://img.youtube.com/vi/At58PznL0xQ/hqdefault.jpg)
7.Benjamin Lietti (Paris-Saclay University): Results on cement production in emerging and developing economies from satellite data
"Alternative technics in housing and construction during the Covid crisis" Webinaire du 21 novembre 2022
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Introduction par Yunhui Zhao (FMI)
- Liu, Yang, and Zhao (2022): “Housing Boom and Headline Inflation: Insights from Machine Learning,” IMF Working Paper 22/151. (lien)
- Zhao (2020), “US Housing Market during COVID-19: Aggregate and Distributional Evidence,” COVID Economics, Issue 50, pp. 113-154, September 2020. (Updated SSRN version lien)
How alternative tools can give complementary insights on real estate during Covid
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Présentation par Volker Ziemann (OCDE)
Rudiger Ahrend, Manuel Bétin, Maria Paula Caldas, Boris Cournède, Marcos Diaz Ramirez, Pierre-Alain Pionnier, Daniel Sanchez-Serra, Paolo Veneri and Volker Ziemann (OECD): Changes in the geography housing demand after the onset of COVID-19: First result for large cities in 13 OECD countries? Lien
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Présentation par Michele Loberto (Bank of Italy)
Elisa Guglielminetti & Michele Loberto & Giordano Zevi & Roberta Zizza (Banca d’Italia): Living on my own: the impact of the Covid-19 pandemic on housing preferences Lien
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Présentation par Jean-Charles Bricongne (Banque de France)
Jean-Charles Bricongne (Banque de France), joint with Baptiste Meunier and Sylvain Pouget: Web-scraping housing prices in real-time: the Covid-19 crisis in the UK. Lien
Methodological tools on housing and construction
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Présentation par Alexandre Banquet (OCDE)
Alexandre Banquet (OECD): presentation of advances in satellite data for the follow-up of built areas: Dynamic World and new version of GHSL
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Présentation par Nina Biljanovska (FMI)
Nina Biljanovska (IMF), Chenxu Fu (IMF) & Deniz Igan (BIS), Housing Affordability: A New Panel Dataset
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Présentation par Sullivan Hué (AMSE)
Sébastien Laurent (AMSE), joint with Emmanuel Flachaire, Gilles Hacheme and Sullivan Hué: GAM(L)A: An econometric models for interpretable Machine Learning, used to forecast housing prices in Boston (USA) Lien
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Présentation par Pierre-Alain Pionnier (OCDE)
Pierre-Alain Pionnier (OECD), joint with Johannes Schuffels: Estimating regional house price levels; Methodology and results of a pilot project with Spain Lien