scholarly journals "Measures of mortgage default risk and local house price dynamics "

2018 ◽  
Author(s):  
Damian Damianov ◽  
Cheng Yan ◽  
Xiangdong Wang

2017 ◽  
Author(s):  
Piyush Tiwari ◽  
Alla Koblyakova ◽  
John Croucher ◽  
Justine Wang


2018 ◽  
Vol 54 (2) ◽  
pp. 783-807 ◽  
Author(s):  
Tolga A. Ozbakan ◽  
Serdar Kale ◽  
Irem Dikmen


2015 ◽  
Author(s):  
Edward L. Glaeser ◽  
Charles Nathanson




2016 ◽  
Author(s):  
Stephanie Moulton ◽  
Samuel Dodini ◽  
Donald R. Haurin ◽  
Maximilian D. Schmeiser




2018 ◽  
Vol 47 (2) ◽  
pp. 365-398 ◽  
Author(s):  
Alexander Bogin ◽  
William Doerner ◽  
William Larson


2015 ◽  
Vol 66 (1) ◽  
pp. 99-127
Author(s):  
Marco Oestmann ◽  
Lars Bennöhr

Abstract There is a broad literature on determinants of house price dynamics, which received increasing attention in the aftermath of the subprime crisis. Additional to macroeconomic standard variables, there might be other hard to measure or even unobservable factors influencing real estate prices. Using quarterly data, we try to increase the informational input of conventional models and capture such effects by including Google search engine query information into a set of standard fundamental variables explaining house prices. We use the house price index (HPI) published by Eurostat to perform fixed-effects regressions for a panel of 14 EU-countries comprising the years 2005-2013. We find that Google data as a single aggregate measure plays a prominent role in explaining house price developments.



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