Pub Date : 2022-01-28DOI: 10.1080/08965803.2021.2011557
Tyler K. Jensen, Tracy M. Turner
{"title":"Monetary Policy Shifts, Dividends and REIT Momentum","authors":"Tyler K. Jensen, Tracy M. Turner","doi":"10.1080/08965803.2021.2011557","DOIUrl":"https://doi.org/10.1080/08965803.2021.2011557","url":null,"abstract":"","PeriodicalId":51567,"journal":{"name":"Journal of Real Estate Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49597479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-22DOI: 10.1080/08965803.2020.1833508
R. Siebert
When the foreclosure crisis hit the U.S. housing market, there was little consensus on which homeowners were affected the most by home value impairment. The goal of this study is to flexibly estimate house-specific foreclosure discounts and to explore the merits of heterogeneous foreclosure discounts across market segments. I use a comprehensive dataset that encompasses home transactions from 2000 to 2020 in Florida and Indiana. Summary statistics show that foreclosures are realized across the entire home value and home size distributions. I estimate a structural model that builds on Rosen (1974) and Bajari and Benkard (2005) and estimates a price function using a weighted least squares regression approach. The estimation results show that foreclosure discounts in Indiana are higher than in Florida. In Indiana, foreclosed homes lost the most value at the lower part of the house value distribution. Moreover, owners of foreclosed large houses experienced immense value losses, and this applies to every city. In Indiana, houses at the lower part of the house size distribution also suffered from large foreclosure discounts, while Floridian houses lost significantly less value in this market segment. I also find that homes in neighborhoods with higher mortgages, urbanization, median incomes, and education rates realize higher foreclosure discounts. Neighborhoods with smaller Asian, Black, and Hispanic populations experienced higher foreclosure discounts. JEL: R2, R3, C1, L1, L6, O3.
{"title":"Heterogeneous Foreclosure Discounts of Homes","authors":"R. Siebert","doi":"10.1080/08965803.2020.1833508","DOIUrl":"https://doi.org/10.1080/08965803.2020.1833508","url":null,"abstract":"When the foreclosure crisis hit the U.S. housing market, there was little consensus on which homeowners were affected the most by home value impairment. The goal of this study is to flexibly estimate house-specific foreclosure discounts and to explore the merits of heterogeneous foreclosure discounts across market segments. I use a comprehensive dataset that encompasses home transactions from 2000 to 2020 in Florida and Indiana. Summary statistics show that foreclosures are realized across the entire home value and home size distributions. I estimate a structural model that builds on Rosen (1974) and Bajari and Benkard (2005) and estimates a price function using a weighted least squares regression approach. The estimation results show that foreclosure discounts in Indiana are higher than in Florida. In Indiana, foreclosed homes lost the most value at the lower part of the house value distribution. Moreover, owners of foreclosed large houses experienced immense value losses, and this applies to every city. In Indiana, houses at the lower part of the house size distribution also suffered from large foreclosure discounts, while Floridian houses lost significantly less value in this market segment. I also find that homes in neighborhoods with higher mortgages, urbanization, median incomes, and education rates realize higher foreclosure discounts. Neighborhoods with smaller Asian, Black, and Hispanic populations experienced higher foreclosure discounts. JEL: R2, R3, C1, L1, L6, O3.","PeriodicalId":51567,"journal":{"name":"Journal of Real Estate Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45823831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-22DOI: 10.1080/08965803.2021.2009621
Jackson T. Anderson, J. Freybote, David J. Lucus, Michael J. Seiler, Lauren Simon
{"title":"Using Artificial Intelligence to Identify Strategic Mortgage Default Attitudes","authors":"Jackson T. Anderson, J. Freybote, David J. Lucus, Michael J. Seiler, Lauren Simon","doi":"10.1080/08965803.2021.2009621","DOIUrl":"https://doi.org/10.1080/08965803.2021.2009621","url":null,"abstract":"","PeriodicalId":51567,"journal":{"name":"Journal of Real Estate Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47823363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-20DOI: 10.1080/08965803.2021.2001896
Zifeng Feng,William G. Hardin,Chongyu Wang
{"title":"Rewarding a Long-Term Investment Strategy: REITs","authors":"Zifeng Feng,William G. Hardin,Chongyu Wang","doi":"10.1080/08965803.2021.2001896","DOIUrl":"https://doi.org/10.1080/08965803.2021.2001896","url":null,"abstract":"","PeriodicalId":51567,"journal":{"name":"Journal of Real Estate Research","volume":"9 1","pages":"56-79"},"PeriodicalIF":0.8,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138534425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-09DOI: 10.1080/08965803.2020.1840802
Alex van de Minne,Marc Francke,David Geltner
{"title":"Forecasting US Commercial Property Price Indexes Using Dynamic Factor Models","authors":"Alex van de Minne,Marc Francke,David Geltner","doi":"10.1080/08965803.2020.1840802","DOIUrl":"https://doi.org/10.1080/08965803.2020.1840802","url":null,"abstract":"","PeriodicalId":51567,"journal":{"name":"Journal of Real Estate Research","volume":"1 1","pages":"29-55"},"PeriodicalIF":0.8,"publicationDate":"2021-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138534495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-01DOI: 10.1080/08965803.2021.2003509
Uzair Azmat, Saad Azmat, M. Hassan, S. Z. Ali
{"title":"Consumer Choice in Residential Mortgage Market: An Islamic Mortgage Contract","authors":"Uzair Azmat, Saad Azmat, M. Hassan, S. Z. Ali","doi":"10.1080/08965803.2021.2003509","DOIUrl":"https://doi.org/10.1080/08965803.2021.2003509","url":null,"abstract":"","PeriodicalId":51567,"journal":{"name":"Journal of Real Estate Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47959291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-29DOI: 10.1080/08965803.2021.2003014
Jackson T. Anderson, Kimberly F. Luchtenberg, Michael J. Seiler
{"title":"Using Asymmetric Dominance to Resolve Toxic Debt: Combining Online and Field Experiments","authors":"Jackson T. Anderson, Kimberly F. Luchtenberg, Michael J. Seiler","doi":"10.1080/08965803.2021.2003014","DOIUrl":"https://doi.org/10.1080/08965803.2021.2003014","url":null,"abstract":"","PeriodicalId":51567,"journal":{"name":"Journal of Real Estate Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46900384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-29DOI: 10.1080/08965803.2021.2003508
Daniel T. Winkler, Clifford A. Lipscomb, Bruce L. Gordon
{"title":"Seller-Required Mortgage Preapprovals and the Homebuying Process","authors":"Daniel T. Winkler, Clifford A. Lipscomb, Bruce L. Gordon","doi":"10.1080/08965803.2021.2003508","DOIUrl":"https://doi.org/10.1080/08965803.2021.2003508","url":null,"abstract":"","PeriodicalId":51567,"journal":{"name":"Journal of Real Estate Research","volume":"1 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42312664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-29DOI: 10.1080/08965803.2021.2003507
Xiaoying Deng, P. Anglin, Yanmin Gao, Hua Sun
Business decisions made by the real estate industry can have a profound effect on the wellbeing of people who live, work, or shop in these buildings. While these decisions may be informed by evidence, the available evidence is often incomplete, unrepresentative or otherwise less than ideal. Therefore, the personal opinions or judgments of senior executives can have an effect. In this paper, we study these effects in two parts: risk-taking and Corporate Social Responsibility (CSR) activities. Since political opinion is a relatively stable measure, which is also associated with preferences for risk and CSR, we examine how the political leanings of the CEO are related to these effects. Based on the data from 1999 to 2013, we find that Real Estate Investment Trusts (REITs) with Democrat-leaning CEOs tend to take more risks, as evidenced by higher levels of leverage, more capital expenditures and risky investments. We further find that politically active CEOs are more broadly engaged in different types of CSR activities. JEL Codes: D21, G32, M14, Q56
{"title":"How Do the CEO Political Leanings Affect REIT Business Decisions?","authors":"Xiaoying Deng, P. Anglin, Yanmin Gao, Hua Sun","doi":"10.1080/08965803.2021.2003507","DOIUrl":"https://doi.org/10.1080/08965803.2021.2003507","url":null,"abstract":"Business decisions made by the real estate industry can have a profound effect on the wellbeing of people who live, work, or shop in these buildings. While these decisions may be informed by evidence, the available evidence is often incomplete, unrepresentative or otherwise less than ideal. Therefore, the personal opinions or judgments of senior executives can have an effect. In this paper, we study these effects in two parts: risk-taking and Corporate Social Responsibility (CSR) activities. Since political opinion is a relatively stable measure, which is also associated with preferences for risk and CSR, we examine how the political leanings of the CEO are related to these effects. Based on the data from 1999 to 2013, we find that Real Estate Investment Trusts (REITs) with Democrat-leaning CEOs tend to take more risks, as evidenced by higher levels of leverage, more capital expenditures and risky investments. We further find that politically active CEOs are more broadly engaged in different types of CSR activities. JEL Codes: D21, G32, M14, Q56","PeriodicalId":51567,"journal":{"name":"Journal of Real Estate Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43263582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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