Javascript must be enabled to continue!
Hot and cold seasons in Texas housing markets
View through CrossRef
Purpose
This paper aims to use statistical analyses to understand the trends on housing liquidity and pricing by accounting for macroeconomic factors that vary at national level and at metropolitan statistical area level for all metropolitan statistical areas in Texas. In addition, the authors test for seasonality in all the metropolitan statistical areas in Texas.
Design/methodology/approach
Using publicly available data from Zillow a listing website, the authors conduct an analysis of all housing markets at metropolitan statistical area level in Texas to understand the factors that drive the liquidity and pricing. The authors use two measures for liquidity, namely, time to sell the house and sales to list ratio. The authors also try to understand the decision to lower the price of the listed houses. In addition, the authors conduct a test for seasonality within the year in these housing markets.
Findings
The analyses conclude that there is a significant impact of listing prices, unemployment rates, 30-year mortgage rates, consumer sentiment and oil price changes on the liquidity of the housing markets and decisions of sellers to adjust the prices down. In addition, the authors provide evidence of the existence of seasonality in most metropolitan statistical areas in Texas both for pricing and volume of transactions.
Originality/value
This is the first study to look at housing liquidity and pricing trends for about 25 markets in Texas. In addition, the authors provide evidence of the importance of oil prices for the housing markets in Texas metropolitan statistical areas.
Title: Hot and cold seasons in Texas housing markets
Description:
Purpose
This paper aims to use statistical analyses to understand the trends on housing liquidity and pricing by accounting for macroeconomic factors that vary at national level and at metropolitan statistical area level for all metropolitan statistical areas in Texas.
In addition, the authors test for seasonality in all the metropolitan statistical areas in Texas.
Design/methodology/approach
Using publicly available data from Zillow a listing website, the authors conduct an analysis of all housing markets at metropolitan statistical area level in Texas to understand the factors that drive the liquidity and pricing.
The authors use two measures for liquidity, namely, time to sell the house and sales to list ratio.
The authors also try to understand the decision to lower the price of the listed houses.
In addition, the authors conduct a test for seasonality within the year in these housing markets.
Findings
The analyses conclude that there is a significant impact of listing prices, unemployment rates, 30-year mortgage rates, consumer sentiment and oil price changes on the liquidity of the housing markets and decisions of sellers to adjust the prices down.
In addition, the authors provide evidence of the existence of seasonality in most metropolitan statistical areas in Texas both for pricing and volume of transactions.
Originality/value
This is the first study to look at housing liquidity and pricing trends for about 25 markets in Texas.
In addition, the authors provide evidence of the importance of oil prices for the housing markets in Texas metropolitan statistical areas.
Related Results
Woningcorporaties en Vastgoedontwikkeling
Woningcorporaties en Vastgoedontwikkeling
This summary highlights the findings of the PhD-thesis ‘Woningcorporaties en Vastgoedontwikkeling: Fit for Use’ (‘Housing associations and Real Estate Development: Fit for Use?’). ...
Housing Improvements for Health and Associated Socio‐Economic Outcomes: A Systematic Review
Housing Improvements for Health and Associated Socio‐Economic Outcomes: A Systematic Review
Poor housing is associated with poor health. This suggests that improving housing conditions might lead to improved health for residents. This review searched widely for studies fr...
Klantgestuurd voorraadbeleid en empowerment
Klantgestuurd voorraadbeleid en empowerment
Central to this dissertation are client driven housing management from housing associations in The Netherlands and the empowerment effects this management has on its tenants. The c...
An analysis on housing affordability in Malaysian housing markets and the home buyers’ preference
An analysis on housing affordability in Malaysian housing markets and the home buyers’ preference
Purpose
This paper aims to investigate the housing preference and housing affordability in Malaysian housing markets. There is a lack of research on the gap betwe...
Marketing, management and financial providing of affordable housing
Marketing, management and financial providing of affordable housing
Today’s rising housing prices in most countries worldwide have caused increasable attention to the problem of affordable housing. It is a social or ethical issue and an essential e...
Towards a new policy direction for an improved housing delivery system in Nigerian cities
Towards a new policy direction for an improved housing delivery system in Nigerian cities
In Nigeria, housing units are not adequate for the entire population, especially in cities (Anosike et al. 2011, Makinde 2014). For instance, the deficit grows at an alarming rate,...
Eddison Walters Housing Market Globalization Theory: Building On, Eddison Walters Real Estate Housing Technology Structural Change Transformational Theory
Eddison Walters Housing Market Globalization Theory: Building On, Eddison Walters Real Estate Housing Technology Structural Change Transformational Theory
Today’s housing affordability crisis has been caused by failure to acknowledge technological advancements that globalized housing markets that were once local. Policymakers, bankin...
Developing a Geo-intelligent Housing Submarket Classification Framework for England and Wales
Developing a Geo-intelligent Housing Submarket Classification Framework for England and Wales
Introduction & BackgroundAmid escalating housing affordability pressures, housing shortages, and widening spatial inequalities, with 1.33 million households on social housing w...

