Real Estate eJournal最新文献

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How Do School District Boundary Changes and New School Proposals Affect Housing Prices 学区边界的改变和新学校的建议如何影响房价
Real Estate eJournal Pub Date : 2020-01-01 DOI: 10.2139/ssrn.3531436
Xiaozhou Ding, C. Bollinger, Michael Clark, W. Hoyt
{"title":"How Do School District Boundary Changes and New School Proposals Affect Housing Prices","authors":"Xiaozhou Ding, C. Bollinger, Michael Clark, W. Hoyt","doi":"10.2139/ssrn.3531436","DOIUrl":"https://doi.org/10.2139/ssrn.3531436","url":null,"abstract":"In the past fifty years, a voluminous literature estimating the value of schools through capitalization in home prices has emerged. Prior research has identified capitalized value using various approaches including discontinuities caused by boundaries. We use changes in school boundaries and the proposal of a new school. Our findings from redistricting in the Fayette county school district (KY) show that prices for homes redistricted from a lower-performing (based on test scores) school into the proposed school catchment area increase by six percent. For houses in higher-performing school catchment areas redistricted to the proposed new school district, there is a smaller increase in value. Houses redistricted from higher-performing schools to lower-performing schools decrease in value by three to five percent. However, many of the redistricted properties see little or no significant change, suggesting that only extreme changes in school quality are capitalized. We estimate that homes in the redistricted areas increased by $108 million relative to homes that were not redistricted.","PeriodicalId":21047,"journal":{"name":"Real Estate eJournal","volume":"65 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86690163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Redrawing of a Housing Market: Insurance Payouts and Housing Market Recovery in the Wake of the Christchurch Earthquake of 2011 住房市场的重新绘制:2011年基督城地震后的保险赔付和住房市场复苏
Real Estate eJournal Pub Date : 2020-01-01 DOI: 10.2139/ssrn.3699240
Cuong Nguyen, Ilan Noy, D. E. Sommervoll, Fang Yao
{"title":"Redrawing of a Housing Market: Insurance Payouts and Housing Market Recovery in the Wake of the Christchurch Earthquake of 2011","authors":"Cuong Nguyen, Ilan Noy, D. E. Sommervoll, Fang Yao","doi":"10.2139/ssrn.3699240","DOIUrl":"https://doi.org/10.2139/ssrn.3699240","url":null,"abstract":"On the 22nd of February 2011, much of the residential housing stock in the city of Christchurch, New Zealand, was damaged by an unusually destructive earthquake. Almost all of the houses were insured. We ask whether insurance was able to mitigate the damage adequately, or whether the damage from the earthquake, and the associated insurance payments, led to a spatial re-ordering of the housing market in the city. We find a negative correlation between insurance pay-outs and house prices at the local level. We also uncover evidence that suggests that the mechanism behind this result is that in some cases houses were not fixed (i.e., owners having pocketed the payments) - indeed, insurance claims that were actively repaired (rather than paid directly) did not lead to any relative deterioration in prices. We use a genetic machine-learning algorithm which aims to improve on a standard hedonic model, and identify the dynamics of the housing market in the city, and three data sets: All housing market transactions, all earthquake insurance claims submitted to the public insurer, and all of the local authority’s building-consents data. Our results are important not only because the utility of catastrophe insurance is often questioned, but also because understanding what happens to property markets after disasters should be part of the overall assessment of the impact of the disaster itself. Without a quantification of these impacts, it is difficult to design policies that will optimally try to prevent or ameliorate disaster impacts.","PeriodicalId":21047,"journal":{"name":"Real Estate eJournal","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87156448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
The Effects of Designated Homeless Housing Sites on Local Communities: Evidence from Los Angeles County 指定无家可归者住房地点对当地社区的影响:来自洛杉矶县的证据
Real Estate eJournal Pub Date : 2019-12-28 DOI: 10.2139/ssrn.3513625
Elior Cohen
{"title":"The Effects of Designated Homeless Housing Sites on Local Communities: Evidence from Los Angeles County","authors":"Elior Cohen","doi":"10.2139/ssrn.3513625","DOIUrl":"https://doi.org/10.2139/ssrn.3513625","url":null,"abstract":"Los Angeles County's homeless population has increased by approximately 40 percent in the past five years. While county voters have supported the goal by approving billions of dollars in bonds that would provide tens of thousands of affordable housing units and services for the homeless, there remains a substantial gap in affordable housing for the homeless and low-income individuals who are at risk of homelessness, drive by fears and stigma in local communities. I investigate the effect of such housing sites on street homelessness, crime, and property values. I construct a comprehensive data that geocodes the locations of all designated homeless housing sites in Los Angeles County. Using spatial and time variation in homeless housing sites, I estimate the exposure of a community to designated homeless housing sites over time and use changes in this exposure to recover the causal relationship. I find that communities that had an increase in homeless housing in their boundaries and vicinity experience a sizable decline in homeless encampments, overall crime, and homeless-related crimes, and that housing values in these communities had increased.","PeriodicalId":21047,"journal":{"name":"Real Estate eJournal","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75069363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
The Power of Words: A Study of How Search Contents Can Affect Financial Decisions 文字的力量:搜索内容如何影响财务决策的研究
Real Estate eJournal Pub Date : 2019-12-21 DOI: 10.2139/ssrn.3508053
Du Ni, Xingzhi Li, Zhi Xiao, Ke Gong
{"title":"The Power of Words: A Study of How Search Contents Can Affect Financial Decisions","authors":"Du Ni, Xingzhi Li, Zhi Xiao, Ke Gong","doi":"10.2139/ssrn.3508053","DOIUrl":"https://doi.org/10.2139/ssrn.3508053","url":null,"abstract":"Search engines play an important role in providing us with the main information of our daily life. The research on the search behavior on the Internet enjoys greater and greater popularity, for the search behavior has been proved to affect our daily decisions in purchasing, traveling, and even defining beauty. However, there is still a lack of full appreciation of the relation between the search behavior itself in terms of the emotional meaning and the decisions thus generated. Therefore, this study was carried out to analyze the emotional meanings of 13,915 English words obtained from Google Trends and the profits gained from the US house market by automatic transactions and discovered that the emotional meanings of the search contents could modulate the financial decision with unsupervised machine learning methods.","PeriodicalId":21047,"journal":{"name":"Real Estate eJournal","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74210908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Financing Competitors: Shadow Banks' Funding and Mortgage Market Competition 融资竞争者:影子银行融资与抵押贷款市场竞争
Real Estate eJournal Pub Date : 2019-12-13 DOI: 10.2139/ssrn.3556917
E. Jiang
{"title":"Financing Competitors: Shadow Banks' Funding and Mortgage Market Competition","authors":"E. Jiang","doi":"10.2139/ssrn.3556917","DOIUrl":"https://doi.org/10.2139/ssrn.3556917","url":null,"abstract":"\u0000 Using novel shadow bank funding data, I find that shadow banks are funded by the very banks they compete with when originating mortgages. Evidence suggests that banks have market power in the upstream market for shadow banks’ funding, which in turn softens mortgage market competition through their strategic behaviors in both markets. I build and calibrate a quantitative model of vertical integration and competition to show that those consumers who would most benefit from shadow bank services are the ones to bear the costs. Secondary market innovation could increase downstream competition by reducing shadow banks’ reliance on their competitors.","PeriodicalId":21047,"journal":{"name":"Real Estate eJournal","volume":"276 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80051209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 24
Assessment of the Challenges Facing Rental Housing in Lagos, Nigeria 尼日利亚拉各斯出租住房面临的挑战评估
Real Estate eJournal Pub Date : 2019-12-07 DOI: 10.2139/ssrn.3500132
Kamorudeen Lawal
{"title":"Assessment of the Challenges Facing Rental Housing in Lagos, Nigeria","authors":"Kamorudeen Lawal","doi":"10.2139/ssrn.3500132","DOIUrl":"https://doi.org/10.2139/ssrn.3500132","url":null,"abstract":"There is a growing concern over the issue of housing deficit and quality of housing stock in Lagos. Stakeholders have had reason to develop different housing strategies to curb the housing deficit issue. This study presents an attempt to assess the challenges facing the adoption and practice of rental housing as a way of curbing the housing deficit challenge. The study adopted a survey approach by administering questionnaires to Estate firms situated in Lagos. The study found that cost of financing is the factor that presents the greatest challenge to the practice of producing houses for rent. Other factors that also present huge challenges are affordability, low yield, legal system, rent, void and tenant behaviour.","PeriodicalId":21047,"journal":{"name":"Real Estate eJournal","volume":"2014 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82719321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Moving to Opportunity? The Geography of the Foreclosure Crisis and the Importance of Location 搬去机遇号?丧失抵押品赎回权危机的地理位置和位置的重要性
Real Estate eJournal Pub Date : 2019-12-01 DOI: 10.2139/ssrn.3162905
C. Makridis, M. Ohlrogge
{"title":"Moving to Opportunity? The Geography of the Foreclosure Crisis and the Importance of Location","authors":"C. Makridis, M. Ohlrogge","doi":"10.2139/ssrn.3162905","DOIUrl":"https://doi.org/10.2139/ssrn.3162905","url":null,"abstract":"\u0000 Over 6 million households experienced foreclosure during the financial crisis. Where did they move, how did they fare and why? First, we create a new longitudinal dataset between 2006 and 2011 from households’ date of foreclosure to their relocation. Despite significant heterogeneity in mobility outcomes, we find that individuals move to, on average, higher quality locations. However, these locations are sometimes worse than what a household would have chosen at random, on average, within the same state. Second, to investigate the source behind these plausibly suboptimal moves, we quantify the contributions of three different hypotheses—(i) local labor market conditions, (ii) local composition effects and (iii) state foreclosure institutions—toward mobility outcomes. Third, we find that individuals who move counties relocate to areas with 2.3% higher income, relative to those moving across census tracts in the same county. In sum, while our results suggest that the average foreclosed household ‘moved toward opportunity’, labor market frictions can play an important role in mediating the reallocation of labor over a business cycle.","PeriodicalId":21047,"journal":{"name":"Real Estate eJournal","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76164499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Geographic Diversification in Real Estate Investment Trusts 房地产投资信托基金的地域多元化
Real Estate eJournal Pub Date : 2019-11-18 DOI: 10.1111/1540-6229.12308
Zhilan Feng, McKay Price, D. Ph., Webster A. Collins, Murray H. Goodman
{"title":"Geographic Diversification in Real Estate Investment Trusts","authors":"Zhilan Feng, McKay Price, D. Ph., Webster A. Collins, Murray H. Goodman","doi":"10.1111/1540-6229.12308","DOIUrl":"https://doi.org/10.1111/1540-6229.12308","url":null,"abstract":"Whether geographic diversification within property portfolios is ideal remains an open question, with most studies finding either a diversification discount or no evidence of benefits. Using a sample of equity real estate investment trusts (REITs) from 2010–2016, we find a nonlinear relation between geographic diversification and firm value. Specifically, geographic diversification is associated with higher REIT values for firms that can be described as being more transparent (i.e., they have high levels of institutional ownership or invest in core property types.) Whereas, geographic concentration is associated with higher REIT values for firms that can be described as being less transparent (i.e., they have low levels of institutional ownership or invest in non-core property types.) Operating efficiency, at both the property- and firm-levels, are the means by which the diversification value is realized. Operations improve as property portfolios become more geographically diversified for more transparent firms. When the improvements are decomposed into revenue generation and expense efficiency portions, we find revenue generation to be the main operational channel through which the benefits are obtained.","PeriodicalId":21047,"journal":{"name":"Real Estate eJournal","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83756788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 34
Out of the Darkness: Re-Allocation of Confiscated Real Estate Mafia Assets 走出黑暗:重新分配没收的房地产黑手党资产
Real Estate eJournal Pub Date : 2019-11-17 DOI: 10.2139/ssrn.3488626
Filippo Boeri, Marco Di Cataldo, Elisabetta Pietrostefani
{"title":"Out of the Darkness: Re-Allocation of Confiscated Real Estate Mafia Assets","authors":"Filippo Boeri, Marco Di Cataldo, Elisabetta Pietrostefani","doi":"10.2139/ssrn.3488626","DOIUrl":"https://doi.org/10.2139/ssrn.3488626","url":null,"abstract":"In an effort to tackle criminal groups, the Italian State allows the confiscation of properties belonging to individuals convicted for mafia-related crimes and their reallocation to a new use. This policy is considered both as an anti-mafia measure and as a way to partially compensate the society for the harm made by the criminal organisations. Whether and how this measure has had an impact on the local areas where it is implemented, however, has not yet been investigated. We test the hypothesis that the policy contributes to the regeneration of urban spaces by assessing its impact on the value of buildings in the vicinity of confiscated/re-allocated properties. To this aim, we perform difference-in-differences analyses, both at the level of local housing markets and at the level of individual buildings, investigating the externalities of the policy across the whole Italian territory. The results unveil a positive and significant effect of re-allocations of confiscated real estate assets on house prices, declining with distance from the re-allocation site. The impact is larger in cities with stronger mafia presence and in more deprived neighbourhoods. This suggests that the policy contributes to add value to the territory where it is applied and favours processes of urban revitalisation. These findings have important implications for the development of deprived urban areas characterised by a strong presence of criminal organisations.","PeriodicalId":21047,"journal":{"name":"Real Estate eJournal","volume":"143 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80230025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Learning from House Prices: Amplification and Business Fluctuations 从房价中学习:放大和商业波动
Real Estate eJournal Pub Date : 2019-11-01 DOI: 10.1093/RESTUD/RDAA079
R. Chahrour, Gaetano Gaballo
{"title":"Learning from House Prices: Amplification and Business Fluctuations","authors":"R. Chahrour, Gaetano Gaballo","doi":"10.1093/RESTUD/RDAA079","DOIUrl":"https://doi.org/10.1093/RESTUD/RDAA079","url":null,"abstract":"We provide a new theory of demand-driven business cycles based on learning from prices in an otherwise frictionless real model. In our model, house price increases caused by aggregate disturbances may be misinterpreted as a signal of improved local consumption prospects, leading households to demand more current consumption and housing. Higher demand reinforces the initial price increase in an amplification loop that drives comovement in output, labor, residential investment, and house prices even in response to aggregate supply shocks. The model's qualitative implications are consistent with observed business cycles, and it can explain apparently autonomous changes in sentiment without resorting to non-fundamental shocks.","PeriodicalId":21047,"journal":{"name":"Real Estate eJournal","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75898140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
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