Are housing price cycles asymmetric? Evidence from the US States and Metropolitan areas

This paper investigates asymmetry in US housing price cycles at the state and metropolitan statistical area (MSA) level, using the Triples test (Randles, Flinger, Policello, & Wolfe, 1980) and the Entropy test of Racine and Maasoumi (2007). Several reasons may account for asymmetry in housing p...

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Main Authors: Christophe André, Rangan Gupta, John W. Muteba Mwamba
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2018-11-01
Series:International Journal of Strategic Property Management
Subjects:
Online Access:https://www.bme.vgtu.lt/index.php/IJSPM/article/view/6361
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spelling doaj-61b64832de744f03957cc87d7178f7b62021-07-02T14:05:03ZengVilnius Gediminas Technical UniversityInternational Journal of Strategic Property Management1648-715X1648-91792018-11-0123110.3846/ijspm.2019.6361Are housing price cycles asymmetric? Evidence from the US States and Metropolitan areasChristophe André0Rangan Gupta1John W. Muteba Mwamba2Economics Department, Organisation for Economic Co-operation and Development (OECD), 75775 Paris, Cedex 16, FranceDepartment of Economics, University of Pretoria, Pretoria, 0002, South AfricaFaculty of Economic and Financial Sciences, University of Johannesburg, P.O. Box 524, Auckland Park 2006, South Africa This paper investigates asymmetry in US housing price cycles at the state and metropolitan statistical area (MSA) level, using the Triples test (Randles, Flinger, Policello, & Wolfe, 1980) and the Entropy test of Racine and Maasoumi (2007). Several reasons may account for asymmetry in housing prices, including non-linearity in their determinants and in behavioural responses, in particular linked to equity constraints and loss aversion. However, few studies have formally tested the symmetry of housing price cycles. We find that housing prices are asymmetric in the vast majority of cases. Taking into account the results of the two tests, deepness asymmetry, which represents differences in the magnitude of upswings and downturns, is found in 39 out of the 51 states (including the District of Columbia) and 238 out of the 381 MSAs. Steepness asymmetry, which measures differences in the speed of price changes during upswings and downturns, is found in 40 states and 257 MSAs. These results imply that linear models are in most cases insufficient to capture housing price dynamics. https://www.bme.vgtu.lt/index.php/IJSPM/article/view/6361asymmetryhouse pricesUS economy
collection DOAJ
language English
format Article
sources DOAJ
author Christophe André
Rangan Gupta
John W. Muteba Mwamba
spellingShingle Christophe André
Rangan Gupta
John W. Muteba Mwamba
Are housing price cycles asymmetric? Evidence from the US States and Metropolitan areas
International Journal of Strategic Property Management
asymmetry
house prices
US economy
author_facet Christophe André
Rangan Gupta
John W. Muteba Mwamba
author_sort Christophe André
title Are housing price cycles asymmetric? Evidence from the US States and Metropolitan areas
title_short Are housing price cycles asymmetric? Evidence from the US States and Metropolitan areas
title_full Are housing price cycles asymmetric? Evidence from the US States and Metropolitan areas
title_fullStr Are housing price cycles asymmetric? Evidence from the US States and Metropolitan areas
title_full_unstemmed Are housing price cycles asymmetric? Evidence from the US States and Metropolitan areas
title_sort are housing price cycles asymmetric? evidence from the us states and metropolitan areas
publisher Vilnius Gediminas Technical University
series International Journal of Strategic Property Management
issn 1648-715X
1648-9179
publishDate 2018-11-01
description This paper investigates asymmetry in US housing price cycles at the state and metropolitan statistical area (MSA) level, using the Triples test (Randles, Flinger, Policello, & Wolfe, 1980) and the Entropy test of Racine and Maasoumi (2007). Several reasons may account for asymmetry in housing prices, including non-linearity in their determinants and in behavioural responses, in particular linked to equity constraints and loss aversion. However, few studies have formally tested the symmetry of housing price cycles. We find that housing prices are asymmetric in the vast majority of cases. Taking into account the results of the two tests, deepness asymmetry, which represents differences in the magnitude of upswings and downturns, is found in 39 out of the 51 states (including the District of Columbia) and 238 out of the 381 MSAs. Steepness asymmetry, which measures differences in the speed of price changes during upswings and downturns, is found in 40 states and 257 MSAs. These results imply that linear models are in most cases insufficient to capture housing price dynamics.
topic asymmetry
house prices
US economy
url https://www.bme.vgtu.lt/index.php/IJSPM/article/view/6361
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