scholarly journals Tracking Owners’ Sentiments: Subjective Home Values, Expectations and House Price Dynamics

2021 ◽  
Author(s):  
Anthony Lepinteur ◽  
Sofie R. Waltl
Keyword(s):  
House Price ◽  
Price Dynamics ◽  
House Price Dynamics ◽  
Home Values

House price dynamics of the top 13 cities in China

2017 ◽  
Author(s):  
Piyush Tiwari ◽  
Alla Koblyakova ◽  
John Croucher ◽  
Justine Wang
Keyword(s):  
House Price ◽  
Price Dynamics ◽  
House Price Dynamics

scholarly journals How House Price Dynamics and Credit Constraints Affect the Equity Extraction of Senior Homeowners

2016 ◽  
Author(s):  
Stephanie Moulton ◽  
Samuel Dodini ◽  
Donald R. Haurin ◽  
Maximilian D. Schmeiser
Keyword(s):  
Credit Constraints ◽  
House Price ◽  
Price Dynamics ◽  
House Price Dynamics

scholarly journals Local House Price Dynamics: New Indices and Stylized Facts

2018 ◽  
Vol 47 (2) ◽  
pp. 365-398 ◽  
Author(s):  
Alexander Bogin ◽  
William Doerner ◽  
William Larson
Keyword(s):  
House Price ◽  
Price Dynamics ◽  
Stylized Facts ◽  
House Price Dynamics

scholarly journals Determinants of house price dynamics. What can we learn from search engine data?

2015 ◽  
Vol 66 (1) ◽  
pp. 99-127
Author(s):  
Marco Oestmann ◽  
Lars Bennöhr
Keyword(s):  
Search Engine ◽  
Fixed Effects ◽  
House Prices ◽  
House Price ◽  
Price Dynamics ◽  
Subprime Crisis ◽  
House Price Dynamics ◽  
Conventional Models ◽  
Real Estate Prices ◽  
Google Search

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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