scholarly journals Assessing the impact of selected macroeconomic variables in the determinants of sustainable residential housing prices in Lagos

2016 ◽  
Vol 9 (4) ◽  
pp. 405
Author(s):  
E Olowofeso ◽  
A.K. Oyetunji
Keyword(s):  
Housing Prices ◽  
Residential Housing ◽  
Macroeconomic Variables ◽  
The Impact

Homeownership and Financial Strain Following the Collapse of the Housing Market: A Comparative Study on Loan Delinquencies Between Black and White Households

2015 ◽  
Vol 26 (1) ◽  
pp. 79-93 ◽  
Author(s):  
Richard F. Bieker ◽  
Yoonkyung Yuh
Keyword(s):  
Housing Market ◽  
Housing Prices ◽  
Potential Effect ◽  
Financial Strain ◽  
Residential Housing ◽  
Black And White ◽  
Consumer Finances ◽  
Time Period ◽  
Using Data ◽  
The Impact

The objectives of this study were to evaluate the extent to which homeownership contributed to household financial strain as measured by loan delinquency after the onset of the recent housing market crash, and to examine if the impact of homeownership on household financial strain differed for Black and White households. Using data from the 2010 Survey of Consumer Finances, we found that, after controlling for other factors, a household's housing preferences had a potential effect on the likelihood of experiencing financial strain following the collapse of residential housing prices. In addition, Black homeowners were more likely to have experienced financial strain following the housing collapse than were White homeowners, regardless of the time period in which the home was purchased. The implications of the findings for public policy, personal financial planning and education, and further research are presented.

scholarly journals International Real Estate Review

2003 ◽  
Vol 6 (1) ◽  
pp. 63-74
Author(s):  
Nicholas Apergis ◽  
Keyword(s):  
Real Estate ◽  
Error Correction ◽  
Explanatory Power ◽  
Housing Prices ◽  
Dynamic Effects ◽  
Vector Autoregressive ◽  
Macroeconomic Variables ◽  
Loan Rate ◽  
Variance Decompositions ◽  
The Impact

This study analyses the dynamic effects of specific macroeconomic variables (i.e. housing loan rates, inflation and employment) on the price of new houses sold in Greece. An error correction vector autoregressive (ECVAR) model is used to model the impact of the macroeconomic variables on real housing prices. Variance decompositions show that the housing loan rate is the variable with the highest explanatory power over the variation of real housing prices, followed by inflation and employment.

scholarly journals Effects of New Grocery Store Development on Inner-City Neighborhood Residential Prices

2017 ◽  
Vol 46 (1) ◽  
pp. 87-102 ◽  
Author(s):  
Belkis Cerrato Caceres ◽  
Jacqueline Geoghegan
Keyword(s):  
Inner City ◽  
Housing Prices ◽  
Grocery Store ◽  
Hedonic Model ◽  
Grocery Stores ◽  
Housing Values ◽  
Residential Housing ◽  
Difference In Differences ◽  
Temporal And Spatial ◽  
The Impact

A difference-in-differences approach is used to measure the impact of new inner-city grocery store developments on residential housing values in Worcester, Massachusetts. Using geocoded housing sales from 1988–2011, we develop a hedonic model, exploiting temporal and spatial discontinuities, to identify the effect of 12 new grocery stores on neighborhood housing prices. Results suggest these new stores were associated with an increase in sale prices of nearby homes, and these results could help inform current policies related to urban food deserts, in that new grocery stores have the potential to improve neighborhood wealth as well as health.

The influence of privately initiated rezoning on housing prices

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jeffrey G. Robert ◽  
Velma Zahirovic-Herbert
Keyword(s):  
Housing Prices ◽  
Housing Price ◽  
Quantitative Information ◽  
Single Family ◽  
Residential Housing ◽  
Content Type ◽  
Price Effects ◽  
Family Housing ◽  
Residential Use ◽  
The Impact

Purpose The purpose of this paper is to evaluate the parcel-level impacts of the zoning change. Design/methodology/approach Using hedonic regression and propensity score matching econometric techniques, this paper analyses single-family housing prices within Fulton County Georgia. This paper combines data on the parcel-level zoning changes with nearby housing sales transactions to study the potential externality effects because of rezoning induced by private parties. Findings The paper finds evidence of heterogeneous rezoning effects, depending upon the type of rezoning conducted. At a distance within 0.75 miles, housing prices appreciate by 8.31% when nearby privately initiated rezoning maintains the residential character of a neighbourhood. However, housing prices decline by 21.26% when residential housing zones are converted to non-residential housing zones. The negative influences of rezoning residential use to non-residential uses decline as distance increases. Originality/value The analysis provides quantitative information on the impact of rezoning on residential property prices. Planning officials and developers can use these results to assuage homeowner fears of potential negative housing price effects associated with rezoning.

scholarly journals How Does the Effect Fade over Distance? An Inquiry into the Decay Pattern of Distance Effect on Property Values in the Case of Taipei, Taiwan

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1238
Author(s):  
Lin-Han Chiang Hsieh
Keyword(s):  
Flood Risk ◽  
Housing Prices ◽  
Distance Effect ◽  
Distance Decay ◽  
Mathematical Function ◽  
Residential Housing ◽  
Minimum Residual ◽  
Decay Pattern ◽  
Potential Risks ◽  
The Impact

It is generally accepted that the perception of homeowners towards certain potential risks or amenities fades as distance from the risk or amenity increases. This study aims to illustrate the distance–decay pattern with an appropriate mathematical function. Distance–decay functions and parameters that yield the minimum residual sum of squares (RSS) for a given regression model are considered to be the optimal approximation for the pattern of decay. The effect of flood risk and mass rapid transit (MRT) accessibility on residential housing prices in Taipei, Taiwan, are used as examples to test the optimization process. The results indicate that the type of distance function affects both the significance and the magnitude of the regression coefficients. In the case of Taipei, concave functions provide better fits for both the flood risk and MRT accessibility. RSS reduction is up to 10% compared to the blank. Surprisingly, the impact range for the flood risk is found to be larger than that for MRT accessibility, which suggested that the impact range of perception for uncertain risks is larger than expected.

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