ERN: Microeconometric Studies of Housing Markets (Topic)最新文献_第2页

Finance and the Supply of Housing Quality 金融与住房质量供给

ERN: Microeconometric Studies of Housing Markets (Topic) Pub Date : 2020-09-15 DOI: 10.2139/ssrn.3446411

Michael Reher

引用次数: 10

"Not in My Backyard!" the 2015 Refugee Crisis in Germany “不要在我的后院!”2015年德国难民危机

ERN: Microeconometric Studies of Housing Markets (Topic) Pub Date : 2020-09-10 DOI: 10.2139/ssrn.3697189

Kathleen Kürschner Rauck

引用次数: 2

Household Debt and Economic Growth in Europe 欧洲家庭债务与经济增长

ERN: Microeconometric Studies of Housing Markets (Topic) Pub Date : 2020-09-01 DOI: 10.2139/ssrn.3684399

Luca Barbaglia, S. Manzan, Elisa Tosetti

{"title":"Household Debt and Economic Growth in Europe","authors":"Luca Barbaglia, S. Manzan, Elisa Tosetti","doi":"10.2139/ssrn.3684399","DOIUrl":"https://doi.org/10.2139/ssrn.3684399","url":null,"abstract":"We investigate the role and impact of household debt on the economic performance of the European economy during the double-dip recession of 2008-2013. We use a loan-level data set of millions of residential mortgages originated between 2000 and 2013 to calculate regional indicators of household debt and property prices. The detailed information allows us to construct a measure of interest rate mis-pricing during the housing boom that we use to identify the effect of a credit shock on household debt. Our analysis provides three main conclusions. First, in the period 2004-2006 the measure of credit shock was negative in most European regions which indicates that credit conditions were significantly relaxed relative to earlier years. Second, we find that regions in which household leverage increased more rapidly during the 2004-2006 period experienced a more severe decline in output and employment after 2008. These results are consistent with the view that an aggregate credit supply shock in Europe boosted household leverage and house prices. Third, we find that the credit shock had the largest effect on increasing leverage for the low-income and the middle-income households, although the change in leverage of the middle-income households represents a more powerful predictor of the decline in economic activity.","PeriodicalId":12014,"journal":{"name":"ERN: Microeconometric Studies of Housing Markets (Topic)","volume":"141 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73452760","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

The Health Consequence of Rising Housing Prices in China 中国房价上涨对健康的影响

ERN: Microeconometric Studies of Housing Markets (Topic) Pub Date : 2020-08-31 DOI: 10.2139/ssrn.3686433

Y. Xu, Feicheng Wang

引用次数: 7

Airbnb and Rents: Evidence from Berlin Airbnb和租金:来自柏林的证据

ERN: Microeconometric Studies of Housing Markets (Topic) Pub Date : 2020-08-01 DOI: 10.2139/ssrn.3676909

Tomaso Duso, C. Michelsen, Maximilian Schäfer, Kevin Ducbao Tran

{"title":"Airbnb and Rents: Evidence from Berlin","authors":"Tomaso Duso, C. Michelsen, Maximilian Schäfer, Kevin Ducbao Tran","doi":"10.2139/ssrn.3676909","DOIUrl":"https://doi.org/10.2139/ssrn.3676909","url":null,"abstract":"Cities worldwide have regulated peer-to-peer short-term rental platforms claiming that those platforms remove apartments from the long-term housing market, causing an in- crease in rents. Establishing and quantifying such a causal link is, however, challenging. We investigate two policy changes in Berlin to first assess how effective they were in regulating Airbnb, the largest online peer-to-peer short-term rental platform. We document that the policy changes reduced the number of entire homes listed on Airbnb substantially, by eight to ten listings per square kilometer. In particular the introduction of limitations on the misuse of regular rental apartments as short-term accommodations, also strongly reduced the average number of days per year that Airbnb listings are available for booking. In a second step, we then use this policy-induced change in Airbnb supply to assess the impact of Airbnb on rents in the city. Our results suggest that each nearby apartment on Airbnb increases average monthly rents by at least seven cents per square meter. This effect is larger for Airbnb listings that are available for rent for a larger part of the year. Further analyses suggest some effect heterogeneity across the city. In particular, areas with lower Airbnb density tend to be affected more by additional Airbnb listings.","PeriodicalId":12014,"journal":{"name":"ERN: Microeconometric Studies of Housing Markets (Topic)","volume":"88 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79119151","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

Yield Curve and the Macroeconomy: Evidence from a DSGE Model with Housing 收益率曲线与宏观经济:来自住房的DSGE模型的证据

ERN: Microeconometric Studies of Housing Markets (Topic) Pub Date : 2020-07-23 DOI: 10.2139/ssrn.3659679

Xiaojin Sun, K. Tsang

引用次数: 0

Azerbaijan Housing Market at the Harmony of Blinder-Oaxaca Decomposition and Mechanism Design 布林德-瓦哈卡协调下的阿塞拜疆住房市场分解与机制设计

ERN: Microeconometric Studies of Housing Markets (Topic) Pub Date : 2020-05-28 DOI: 10.2139/ssrn.3796007

N. Mammadova, Arzu Haydarova, A. Malikova, H. Aliyev, O. Mammadov

{"title":"Azerbaijan Housing Market at the Harmony of Blinder-Oaxaca Decomposition and Mechanism Design","authors":"N. Mammadova, Arzu Haydarova, A. Malikova, H. Aliyev, O. Mammadov","doi":"10.2139/ssrn.3796007","DOIUrl":"https://doi.org/10.2139/ssrn.3796007","url":null,"abstract":"Being argumentative in nature and referring to Oaxaca Decomposition for the purpose of defining the main drivers of rental flats and houses, be new, old, repaired, or unrepaired, together with applying the difference in difference method to evaluate the effectiveness of the policy, this paper calls into the question of how to inaugurate a country-specific two-sided matching algorithm for rental house allocation based on the empirical results. Model 3 is built on time series data to evaluate the policy implementation by the Azerbaijani government to provide households with financial aid. Based on Blinder-Oaxaca Decomposition, the main findings of the study manifest that for the repaired and unrepaired houses, the price discrimination is mainly explained by the room number while this is an area of the houses per meter square that explains the price gap between old and new flats. The Difference in Difference model signifies that the increase in the number of mortgage loans from 50.000 AZN to 150.000 AZN declined demand more than the increase in supply. Additionally, the study offers 2 Matching Algorithm and Mechanism Design for the allocation of rental houses with existing tenants and newcomers in addition to tenants and owners without initial endowments through YRMH-IGYT in two-sided matching markets.","PeriodicalId":12014,"journal":{"name":"ERN: Microeconometric Studies of Housing Markets (Topic)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85530120","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

Location, Location, Location: Manufacturing and House Price Growth 位置，位置，位置:制造业和房价增长

ERN: Microeconometric Studies of Housing Markets (Topic) Pub Date : 2020-05-22 DOI: 10.2139/ssrn.3607876

Xiangyu Feng, Nir Jaimovich, Krishna Rao, S. Terry, Nicolas Vincent

引用次数: 1

Decision Tree and Boosting Techniques in Artificial Intelligence Based Automated Valuation Models (AI-AVM) 基于人工智能的自动估值模型(AI-AVM)中的决策树和提升技术

ERN: Microeconometric Studies of Housing Markets (Topic) Pub Date : 2020-05-19 DOI: 10.2139/ssrn.3605798

T. Sing, J. Yang, S. Yu

{"title":"Decision Tree and Boosting Techniques in Artificial Intelligence Based Automated Valuation Models (AI-AVM)","authors":"T. Sing, J. Yang, S. Yu","doi":"10.2139/ssrn.3605798","DOIUrl":"https://doi.org/10.2139/ssrn.3605798","url":null,"abstract":"This paper develops an artificial intelligence-based automated valuation model (AI-AVM) using the decision tree and the boosting techniques to predict residential property prices in Singapore. We use more than 300,000 property transaction data from Singapore’s private residential property market for the period from 1995 to 2017 for the training of the AI-AVM models. The two tree-based AI-AVM models show superior performance over the traditional multiple regression analysis (MRA) model when predicting the property prices. We also extend the application of the AI-AVM to more homogenous public housing prices in Singapore, and the predictive performance remains robust. The boosting AI-AVM models that allow for inter-dependence structure in the decision trees is the best model that explains more than 88% of the variance in both private and public housing prices and keep the prediction errors to less than 6% for HDB and 9% for the private market. When subject the AI-AVM to the out-of-sample forecasting using the 2017-2019 testing property sale samples, the prediction errors remain within a narrow range of between 5% and 9%.","PeriodicalId":12014,"journal":{"name":"ERN: Microeconometric Studies of Housing Markets (Topic)","volume":"64 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91072306","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

House Price Forecasting Based on Hybrid Multi-regression Model 基于混合多元回归模型的房价预测

ERN: Microeconometric Studies of Housing Markets (Topic) Pub Date : 2020-05-15 DOI: 10.2139/ssrn.3601507

Shivdutt Vishwakarma, Swasti Singhal

引用次数: 0