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The importance of economic variables on London real estate market : a random forest approach

Levantesi, Susanna; Piscopo, Gabriella - In: Risks : open access journal 8 (2020) 4/112, pp. 1-17

apply the random forest algorithm on London real estate data and analyze the local variables that influence the interaction …

Persistent link: https://www.econbiz.de/10012385136

Comparing econometric analyses with machine learning approaches : a study on Singapore private property market

Bian, Tingbin; Chen, Jin; Feng, Qu; Li, Jingyi - In: The Singapore economic review 67 (2022) 6, pp. 1787-1810

Persistent link: https://www.econbiz.de/10014240106

Redrawing of a housing market : insurance payouts and housing market recovery in the wake of the Christchurch earthquake of 2011

Nguyen, Cuong; Noy, Ilan; Sommervoll, Dag Einar; Yao, Fang - 2020

(rather than paid directly) did not lead to any relative deterioration in prices. We use a genetic machine-learning algorithm …

Persistent link: https://www.econbiz.de/10012288010

Effects of economic factors on median list and selling prices in the U.S. housing market

Vaidynathan, Durga; Kayal, Parthajit; Maiti, Moinak - In: Data science and management : DSM 6 (2023) 4, pp. 199-207

This study investigates the effects of key economic factors on the median list price and median selling price in the U.S. housing market. Key economic factors such as interest rates, unemployment rates, inflation rates, real gross domestic product, money supply, mortgage rate, Standard & Poor's...

Persistent link: https://www.econbiz.de/10014518021