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?
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
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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
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"Alternative technics in housing and construction during the Covid crisis" Webinaire du 21 novembre 2022
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
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
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
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
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
Présentation par Nina Biljanovska (FMI)
Nina Biljanovska (IMF), Chenxu Fu (IMF) & Deniz Igan (BIS), Housing Affordability: A New Panel Dataset
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
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