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  1. Handbook of real estate and macroeconomics
    an introduction
    Autor*in: Leung, Ka Yui
    Erschienen: August 2021
    Verlag:  The Institute of Social and Economic Research, Osaka University, Osaka, Japan

    This paper provides some background for the book, Handbook of Real Estate and Macroeconomics. It gives an overview of different chapters and how various themes and ideas can be connected. Directions for future research are also discussed. mehr

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    This paper provides some background for the book, Handbook of Real Estate and Macroeconomics. It gives an overview of different chapters and how various themes and ideas can be connected. Directions for future research are also discussed.

     
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    Weitere Identifier:
    hdl: 10419/248597
    Auflage/Ausgabe: This version: August 2021
    Schriftenreihe: Discussion paper / The Institute of Social and Economic Research ; no. 1137
    Schlagworte: housing; macroeconomics; real estate; urban and regional economics
    Umfang: 1 Online-Ressource (circa 14 Seiten)
  2. Micro-geographic property price and rent indices
    Autor*in: Ahlfeldt, Gabriel M.; Heblich, Stephan; Seidel, Tobias
    Erschienen: July 2021
    Verlag:  CESifo, Center for Economic Studies & Ifo Institute, Munich, Germany

    We develop a programming algorithm that predicts a balanced-panel mix-adjusted house price index for arbitrary spatial units from repeated cross-sections of geocoded micro data. The algorithm combines parametric and non-parametric estimation... mehr

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    We develop a programming algorithm that predicts a balanced-panel mix-adjusted house price index for arbitrary spatial units from repeated cross-sections of geocoded micro data. The algorithm combines parametric and non-parametric estimation techniques to provide a tight local fit where the underlying micro data are abundant and reliable extrapolations where data are sparse. To illustrate the functionality, we generate a panel of German property prices and rents that is unprecedented in its spatial coverage and detail. This novel data set uncovers a battery of stylized facts that motivate further research, e.g. on the density bias of price-to-rent ratios in levels and trends, within and between cities. Our method lends itself to the creation of comparable neighborhood-level qualified rent indices (Mietspiegel) across Germany.

     
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    hdl: 10419/245368
    Schriftenreihe: CESifo working paper ; no. 9187 (2021)
    Schlagworte: index; real estate; price; property; rent
    Umfang: 1 Online-Ressource (circa 42 Seiten), Illustrationen
  3. Handbook of real estate and macroeconomics
    an introduction
    Autor*in: Leung, Ka Yui
    Erschienen: [2021]
    Verlag:  City University of Hong Kong, College of Business, Department of Economics & Finance, Hong Kong

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    Auflage/Ausgabe: This version: July 2021
    Schriftenreihe: Global Research Unit working paper ; # 2021, 029
    Schlagworte: housing; macroeconomics; real estate; urban and regional economics
    Umfang: 1 Online-Ressource (circa 14 Seiten)
  4. Flood risk and financial stability: evidence from a stress test for the Netherlands
    Autor*in: Caloia, Francesco; Jansen, David-Jan
    Erschienen: [2021]
    Verlag:  De Nederlandsche Bank NV, Amsterdam, The Netherlands

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    Schriftenreihe: Working paper / De Nederlandsche Bank NV ; no. 730 (November 2021)
    Schlagworte: financial stability; flood risk; real estate; stress test
    Umfang: 1 Online-Ressource (circa 50 Seiten), Illustrationen
  5. Micro-geographic property price and rent indices
    Autor*in: Ahlfeldt, Gabriel M.; Heblich, Stephan; Seidel, Tobias
    Erschienen: [2021]
    Verlag:  Centre for Economic Performance, London School of Economics and Political Science, London

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    Schriftenreihe: Discussion paper / Centre for Economic Performance ; no. 1782 (July 2021)
    Schlagworte: index; real estate; price; property; rent
    Umfang: 1 Online-Ressource (circa 43 Seiten), Illustrationen
  6. Quality signals on Airbnb
    a hedonic regression approach
    Autor*in: Löw, Franziska; Lüth, Hendrik
    Erschienen: [2021]
    Verlag:  Helmut Schmidt University Hamburg, Department of Economics, Hamburg

    This study aims at identifying guests’ willingness to pay for characteristics of listings on Airbnb, putting a particular emphasis on trust-building information provided by the platform. In order to do so, a hedonic regression model is applied to an... mehr

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    This study aims at identifying guests’ willingness to pay for characteristics of listings on Airbnb, putting a particular emphasis on trust-building information provided by the platform. In order to do so, a hedonic regression model is applied to an extensive dataset that was gathered in 2017 from Airbnb’s website and encompasses listings from seven major German cities, namely Berlin, Munich, Hamburg, Cologne, Dresden, Stuttgart and Frankfurt am Main. Our results regarding tangible characteristics are mostly in line with expectations: Additional space and certain amenities increase the value of a listing. The same holds true for an accommodation’s distance to the city center, although we find proof for a non-linear relationship. Results for trust-building factors on the other hand are mixed. While favorable review scores and membership duration have a positive effect on prices, we cannot establish such a relationship for “superhost” and “verified ID” badges. In contrast to other studies, which are, however, focused on the US, we cannot find price differences linked to hosts’ gender or ethnicity. Using an extended data set that encompasses listings from 2007 to 2008, we furthermore construct hedonic price indices for all seven cities, which suggest supply shifts due to regulatory pressure.

     
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    Schriftenreihe: Working paper series / Helmut Schmidt University Hamburg, Department of Economics ; Nr. 189 (May 2021)
    Schlagworte: airbnb; sharing economy; hedonic models; GLM; rental markets; price indices; real estate
    Umfang: 42 Seiten, Illustrationen
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    Koordinator/Coordinator: der Serie und Band 189 Ralf Dewenter
  7. Quality signals on Airbnb
    a hedonic regression approach
    Autor*in: Löw, Franziska; Lüth, Hendrik
    Erschienen: [2021]
    Verlag:  Helmut Schmidt University Hamburg, Department of Economics, Hamburg

    This study aims at identifying guests’ willingness to pay for characteristics of listings on Airbnb, putting a particular emphasis on trust-building information provided by the platform. In order to do so, a hedonic regression model is applied to an... mehr

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    This study aims at identifying guests’ willingness to pay for characteristics of listings on Airbnb, putting a particular emphasis on trust-building information provided by the platform. In order to do so, a hedonic regression model is applied to an extensive dataset that was gathered in 2017 from Airbnb’s website and encompasses listings from seven major German cities, namely Berlin, Munich, Hamburg, Cologne, Dresden, Stuttgart and Frankfurt am Main. Our results regarding tangible characteristics are mostly in line with expectations: Additional space and certain amenities increase the value of a listing. The same holds true for an accommodation’s distance to the city center, although we find proof for a non-linear relationship. Results for trust-building factors on the other hand are mixed. While favorable review scores and membership duration have a positive effect on prices, we cannot establish such a relationship for “superhost” and “verified ID” badges. In contrast to other studies, which are, however, focused on the US, we cannot find price differences linked to hosts’ gender or ethnicity. Using an extended data set that encompasses listings from 2007 to 2008, we furthermore construct hedonic price indices for all seven cities, which suggest supply shifts due to regulatory pressure.

     
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    hdl: 10419/242492
    Schriftenreihe: Working paper series / Helmut Schmidt University Hamburg, Department of Economics ; Nr./no. 189 (May 2021)
    Schlagworte: airbnb; sharing economy; hedonic models; GLM; rental markets; price indices; real estate
    Umfang: 1 Online-Ressource (circa 46 Seiten), Illustrationen
    Bemerkung(en):

    Koordinator/Coordinator: der Serie und Band 189 Ralf Dewenter
  8. Local house price comovements
    Autor*in: Fischer, Marcel; Füss, Roland; Stehle, Simon
    Erschienen: 2019
    Verlag:  School of Finance, University of St. Gallen, St. Gallen

    We study the micro-level evolution of residential house prices using data on repeat sales on Manhattan Island from 2004 to 2015. We document that excess price comovement is a highly local and persistent phenomenon. The strength of such excess... mehr

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    We study the micro-level evolution of residential house prices using data on repeat sales on Manhattan Island from 2004 to 2015. We document that excess price comovement is a highly local and persistent phenomenon. The strength of such excess comovements vanishes with both spatial and temporal distance. Local underperformance is more persistent than local overperformance - particularly when house prices on aggregate level increase

     
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    Auflage/Ausgabe: This version May 29, 2019
    Schriftenreihe: Working papers on finance ; no. 2019, 06
    University of St.Gallen, School of Finance Research Paper ; No. 2019/06
    Schlagworte: housing market; price comovements; urban economics; real estate; repeat sales
    Umfang: 1 Online-Ressource (circa 43 Seiten), Illustrationen
  9. Relationship between the real estate sector and the stock market in Chinese provinces
    Autor*in: Di, Zeyu; Heshmati, Almas; Liu, Sijia
    Erschienen: April 2022
    Verlag:  IZA - Institute of Labor Economics, Bonn, Germany

    In China, real estate and the stock market are the two main markets favored by both individual and institutional investors. There is a significant economic link between the two. Therefore, their relationship and long-term and short-term causality can... mehr

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    In China, real estate and the stock market are the two main markets favored by both individual and institutional investors. There is a significant economic link between the two. Therefore, their relationship and long-term and short-term causality can provide good guidance for investors. This paper studies the causality and correlation relationship between the stock market and real estate sector's trading volumes in 31 provinces of China. Its empirical results are based on panel data from 2000 to 2016. Various panel unit root, co-integration, and model specification and estimation tests are carried out. The panel mean group is found to be the most suitable method for the analysis. The study finds that the main industries in different provinces may affect the short-term causal relationship between the real estate sector and the stock market. But in the long-run, the causal relationship between the two is 2-way and stable.

     
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    hdl: 10419/263423
    Schriftenreihe: Discussion paper series / IZA ; no. 15207
    Schlagworte: real estate; stock market; causal relationship; asset allocation; portfolio; economic area; Chinese provinces
    Umfang: 1 Online-Ressource (circa 26 Seiten)
  10. Towards accountability in machine learning applications
    a system-testing approach
    Autor*in: Wan, Wayne Xinwei; Lindenthal, Thies
    Erschienen: 01/2022
    Verlag:  ZEW, Mannheim

    A rapidly expanding universe of technology-focused startups is trying to change and improve the way real estate markets operate. The undisputed predictive power of machine learning (ML) models often plays a crucial role in the ‘disruption’ of... mehr

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    Niedersächsische Staats- und Universitätsbibliothek Göttingen
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    Standort:
    Badische Landesbibliothek
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    A rapidly expanding universe of technology-focused startups is trying to change and improve the way real estate markets operate. The undisputed predictive power of machine learning (ML) models often plays a crucial role in the ‘disruption’ of traditional processes. However, an accountability gap prevails: How do the models arrive at their predictions? Do they do what we hope they do – or are corners cut? Training ML models is a software development process at heart. We suggest to follow a dedicated software testing framework and to verify that the ML model performs as intended. Illustratively, we augment two ML image classifiers with a system testing procedure based on local interpretable model-agnostic explanation (LIME) techniques. Analyzing the classifications sheds light on some of the factors that determine the behavior of the systems.

     
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    Schriftenreihe: Discussion paper / ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung GmbH ; No. 22-001
    Schlagworte: machine learning; accountability gap; computer vision; real estate; urban studies
    Umfang: 63 Seiten, Illustrationen, Diagramme
  11. The expected impact of COVID-19 on the housing market
    Autor*in: Fritsche, Charmaine
    Erschienen: 2021
    Verlag:  KCV KompetenzCentrum für angewandte Volkswirtschaftslehre, [Essen]

    The outbreak of COVID-19 has been an unprecedented disruptor in the world´s social and economic fabric. However, the crisis has only barely affected the real estate market, which continues its upward trend in many countries as of the fourth quarter... mehr

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    The outbreak of COVID-19 has been an unprecedented disruptor in the world´s social and economic fabric. However, the crisis has only barely affected the real estate market, which continues its upward trend in many countries as of the fourth quarter of 2020. Drivers of housing prices and possible effects of the pandemic on the housing market are examined in this article. Special emphasis lies on developments in the EU.

     
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    hdl: 10419/248843
    Schriftenreihe: Streiflicht VWL ; Nr. 5 (März 2021)
    Schlagworte: housing prices; real estate; remote work; COVID-19
    Umfang: 1 Online-Ressource (circa 9 Seiten), Illustrationen
  12. Living on my own
    the impact of the Covid-19 pandemic on housing preferences
    Autor*in: Guglielminetti, Elisa; Loberto, Michele; Zevi, Giordano; Zizza, Roberta
    Erschienen: [2021]
    Verlag:  Banca d'Italia, [Rom]

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    Schriftenreihe: Questioni di economia e finanza / Banca d'Italia ; number 627 (June 2021)
    Schlagworte: COVID-19; housing market; real estate; online housing advertisements; surveydata; working from home
    Umfang: 1 Online-Ressource (circa 55 Seiten), Illustrationen
  13. Towards accountability in machine learning applications
    a system-testing approach
    Autor*in: Wan, Wayne Xinwei; Lindenthal, Thies
    Erschienen: [2022]
    Verlag:  ZEW - Leibniz Centre for European Economic Research, Mannheim, Germany

    A rapidly expanding universe of technology-focused startups is trying to change and improve the way real estate markets operate. The undisputed predictive power of machine learning (ML) models often plays a crucial role in the ‘disruption’ of... mehr

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    A rapidly expanding universe of technology-focused startups is trying to change and improve the way real estate markets operate. The undisputed predictive power of machine learning (ML) models often plays a crucial role in the ‘disruption’ of traditional processes. However, an accountability gap prevails: How do the models arrive at their predictions? Do they do what we hope they do – or are corners cut? Training ML models is a software development process at heart. We suggest to follow a dedicated software testing framework and to verify that the ML model performs as intended. Illustratively, we augment two ML image classifiers with a system testing procedure based on local interpretable model-agnostic explanation (LIME) techniques. Analyzing the classifications sheds light on some of the factors that determine the behavior of the systems.

     
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    hdl: 10419/250385
    Schriftenreihe: Discussion paper / ZEW ; no. 22, 001 (01/2022)
    Schlagworte: machine learning; accountability gap; computer vision; real estate; urban studies
    Umfang: 1 Online-Ressource (63 Seiten), Illustrationen
  14. Towards accountability in machine learning applications
    a system-testing approach
    Autor*in: Wan, Wayne Xinwei; Lindenthal, Thies
    Erschienen: [2022]
    Verlag:  [Department of Land Economy, Environment, Law & Economics, University of Cambridge, Real Estate Research Centre], [Cambridge]

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    Schriftenreihe: Working paper series / Department of Land Economy, Environment, Law & Economics, University of Cambridge, Real Estate Research Centre ; no. 2022, 03
    Schlagworte: explainable machine learning; accountability gap; computer vision; real estate; urban studies
    Umfang: 1 Online-Ressource (circa 62 Seiten), Illustrationen
  15. The good, the bad, and the ordinary
    estimating agent value-added using real estate transactions
    Autor*in: Cunningham, Christopher R.; Gerardi, Kristopher; Shen, Lily
    Erschienen: [2022]
    Verlag:  Federal Reserve Bank of Atlanta, Atlanta, GA

    Despite the prevalence and high cost of real estate agents, there is limited empirical evidence as to the nature or efficacy of their services. In this paper we estimate real estate agents' value-added when either selling or buying homes using data... mehr

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    Despite the prevalence and high cost of real estate agents, there is limited empirical evidence as to the nature or efficacy of their services. In this paper we estimate real estate agents' value-added when either selling or buying homes using data from three large multiple listing services (MLS). We find that homeowners who forgo a conventional real estate agent, but who list their homes on the MLS via a flat fee broker, sell for between 1 and 4 percent more before commission but take longer to sell and are less likely to complete a sale. However, these average effects mask a significant amount of real estate agent heterogeneity. Using a novel aspect of our data, which allows us to identify and track agents over time, we estimate the distributions of real estate agents' fixed effects in both hedonic and time-on-the-market models. We find that exchanging a listing agent in the 25th percentile for one in the 75th would increase the final sales price by 5-6 percent, and a similar exchange for buying agents would lower purchase prices by 4-6 percent. The interquartile range of agent fixed effects from our model of time-on-the-market is 17-25 days. We do not find a significant trade-off between price and time-to-sell, however, as agents who obtain higher prices do not take longer to sell, suggesting that they are not simply setting higher reservation prices. We also show that agents who sell homes for more also appear to pay more for a home when serving as a buyer's agent, indicating that the average agent does not possess exceptional negotiating skills or that such skills are overwhelmed by principal-agent problems. Finally agents do not appear to get better at bargaining; agents do sell faster with experience, but mostly by selling for lower prices.

     
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    hdl: 10419/270454
    Schriftenreihe: Working paper series / Federal Reserve Bank of Atlanta ; 2022, 11 (September 2022)
    Schlagworte: real estate; housing; real estate agent; house prices
    Umfang: 1 Online-Ressource (circa 52 Seiten), Illustrationen
  16. The heterogeneous response of real estate asset prices to a global shock
    Autor*in: Heiniger, Sandro; Koeniger, Winfried; Lechner, Michael
    Erschienen: November 2022
    Verlag:  IZA - Institute of Labor Economics, Bonn, Germany

    We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence... mehr

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    We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence of Covid infections or short-time work at the municipal level for identification. In contrast to evidence for other countries, we find that the pandemic had only temporary negative effects on rents for some real estate types and increased asset prices of real estate particularly in the top price segment of commercial real estate.

     
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    hdl: 10419/267436
    Schriftenreihe: Discussion paper series / IZA ; no. 15699
    Schlagworte: real estate; asset prices; rents; short-time work; affordability crisis; COVID-19
    Umfang: 1 Online-Ressource (circa 58 Seiten), Illustrationen
  17. The heterogeneous response of real estate asset prices to a global shock
    Autor*in: Heiniger, Sandro; Koeniger, Winfried; Lechner, Michael
    Erschienen: November 2022
    Verlag:  CESifo, Munich, Germany

    We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence... mehr

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    We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence of Covid infections or short-time work at the municipal level for identification. In contrast to evidence for other countries, we find that the pandemic had only temporary negative effects on rents for some real estate types and increased asset prices of real estate particularly in the top price segment of commercial real estate.

     
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    Sprache: Englisch
    Medientyp: Buch (Monographie)
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    Weitere Identifier:
    hdl: 10419/267315
    Schriftenreihe: CESifo working papers ; 10083 (2022)
    Schlagworte: real estate; asset prices; rents; Covid pandemic; short-time work; affordability crisis
    Umfang: 1 Online-Ressource (circa 58 Seiten), Illustrationen
  18. How well do DSGE models with real estate and collateral constraints fit the data?
    Autor*in: Moura, Alban; Pierrard, Olivier
    Erschienen: October 2022
    Verlag:  Banque centrale du Luxembourg, Luxembourg

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Schriftenreihe: Working paper / Banque centrale du Luxembourg ; no 168
    Schlagworte: real estate; housing; DSGE models; collateral constraints; model evaluation
    Umfang: 1 Online-Ressource (circa 42 Seiten), Illustrationen
  19. Homes incorporated
    offshore ownership of real estate in the U.K.
    Autor*in: Johannesen, Niels; Miethe, Jakob; Weishaar, Daniel
    Erschienen: December 2022
    Verlag:  CESifo, Munich, Germany

    Ownership of real estate through corporations in offshore tax havens creates opportunities for tax evasion and money laundering and may have undesirable effects in housing markets. In this paper, we study offshore ownership of real estate in the... mehr

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    Ownership of real estate through corporations in offshore tax havens creates opportunities for tax evasion and money laundering and may have undesirable effects in housing markets. In this paper, we study offshore ownership of real estate in the United Kingdom by combining several data sources: administrative data from the land register, a comprehensive transaction database, a propriety database on corporate ownership links, and a handful of offshore data leaks. Our descriptive analysis shows that the market share of offshore corporations has increased over time and varies strongly across market segments: It currently stands at 1.25% in the overall residential market and around 15% for top-end properties. When data leaks allow us to trace ownership through offshore corporations to the beneficial owners, we find that around half have ties to Africa, Asia and the Middle East, but that the largest 'foreign' investor is the United Kingdom itself. Turning to causal evidence, we show that changes in tax incentives and ownership transparency induce strong responses in patterns of offshore ownership, suggesting that both taxation and secrecy are important motives for the beneficial owners. Finally, we show that the Brexit referendum was followed by a sharp increase in property sales by offshore owners and a large differential decrease in property prices in local areas with more offshore ownership, conditional on area and property characteristics. This suggests that the reduction in demand from offshore investors triggered by Brexit had a negative causal effect on property prices and, more broadly, that offshore ownership can have significant real effects in housing markets.

     
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    hdl: 10419/271803
    Schriftenreihe: CESifo working papers ; 10159 (2022)
    Schlagworte: tax havens; tax evasion; offshore financial centers; real estate; hidden wealth
    Umfang: 1 Online-Ressource (circa 70 Seiten), Illustrationen
  20. Brick or Treat
    Shareholder Activism and Corporate Leasing
    Autor*in: Li, Fang; Ormazabal, Gaizka; Vergara-Alert, Carles
    Erschienen: 2022
    Verlag:  SSRN, [S.l.]

    This paper studies the role of shareholder activism on corporate leases. We find that the presence of shareholder activists is associated with large increases in leasing. This association is stronger in periods of high real estate prices and for... mehr

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    This paper studies the role of shareholder activism on corporate leases. We find that the presence of shareholder activists is associated with large increases in leasing. This association is stronger in periods of high real estate prices and for firms with larger amounts of real estate assets. We also find that higher leasing in the presence of activist investing is accompanied by higher dividend payments and lower investment. The leasing activity associated with shareholder activism is less common when the target firm is acquired or when there is a proxy fight. Finally, we find little evidence that this type of activism is related to corporate governance characteristics

     
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    Schriftenreihe: IESE Business School Working Paper ; No. 4286423
    Schlagworte: Shareholder activism; leasing; real estate; corporate governance; sale-and-leaseback
    Weitere Schlagworte: Array
    Umfang: 1 Online-Ressource (56 p)
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    Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments November 25, 2022 erstellt
  21. Real estate
    Autor*in: Levy, Deborah
    Erschienen: 2022
    Verlag:  Penguin Books, [London]

    "In this final piece of her prize-winning Living Autobiography trilogy, Deborah Levy considers home and the spectres that haunt it: a real and unreal estate which every writer must build for herself, which may be inherited or earned, renovated or... mehr

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    "In this final piece of her prize-winning Living Autobiography trilogy, Deborah Levy considers home and the spectres that haunt it: a real and unreal estate which every writer must build for herself, which may be inherited or earned, renovated or razed, and at last passed down to the next generation to make something new"--Back cover

     
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  22. The end of Londongrad?
    the impact of beneficial ownership transparency on offshore investment in UK property
    Autor*in: Collin, Matthew; Hollenbach, Florian M.; Szakonyi, David
    Erschienen: January 2023
    Verlag:  United Nations University World Institute for Development Economics Research, Helsinki, Finland

    The United Kingdom's (UK) property markets are thought to be a common destination for corrupt and criminal assets and money laundering, with investment often through offshore shell companies. Following the Russian invasion of Ukraine in 2022, we... mehr

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    The United Kingdom's (UK) property markets are thought to be a common destination for corrupt and criminal assets and money laundering, with investment often through offshore shell companies. Following the Russian invasion of Ukraine in 2022, we study the impact of the introduction of a policy in the UK intended to increase transparency and eliminate the anonymous ownership of property by requiring offshore companies to file their ultimate beneficial owners on a public register. We find that new purchases by companies based in tax havens fell substantially following government announcements that the policy would be introduced that year, and further declined following the establishment of a register of ownership. While the policy has effectively led the offshore market to stall, £44-76 billion worth of UK real estate is still owned by companies based in tax havens, most of which have yet to comply with their reporting obligations. We do not find strong evidence of price effects nor substitution into ownership through suspicious domestic companies, although larger movements may manifest as firms react to the finalization of the policy in early 2023.

     
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    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9789292673192
    Weitere Identifier:
    hdl: 10419/283707
    Schriftenreihe: WIDER working paper ; 2023, 11
    Schlagworte: money laundering; real estate; beneficial ownership; transparency; invasion of Ukraine
    Umfang: 1 Online-Ressource (circa 43 Seiten), Illustrationen
  23. Leveraging the disagreement on climate change
    theory and evidence
    Autor*in: Bakkensen, Laura; Phan, Toan; Wong, Tsz-Nga
    Erschienen: [2023]
    Verlag:  Federal Reserve Bank of Richmond, Richmond

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    Schriftenreihe: Working paper series / Federal Reserve Bank of Richmond ; WP 23, 01
    Schlagworte: climate finance; sea level rise; heterogeneous beliefs; real estate; mortgage; search and matching; monetary policy
    Umfang: 1 Online-Ressource (circa 77 Seiten), Illustrationen
  24. Current approaches to business and institutional translation
    proceedings of the International conference on economic, business, financial and institutional translation = Enfoques actuales en traducción económica e institucional
    Beteiligt: Gallego Hernández, Daniel (Hrsg.)
    Erschienen: 2015
    Verlag:  Lang, Bern

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    Bayerische Staatsbibliothek
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    Beteiligt: Gallego Hernández, Daniel (Hrsg.)
    Sprache: Englisch; Spanisch
    Medientyp: Konferenzschrift
    ISBN: 9783034316569
    RVK Klassifikation: ES 710
    DDC Klassifikation: Sprache (400); Management und unterstützende Tätigkeiten (650)
    Körperschaften/Kongresse: International Conference on Economic, Business, Financial and Institutional Translation (2014, Alicante)
    Schlagworte: Übersetzung; Wirtschaftssprache
    Weitere Schlagworte: translators; researchers;; econmic translation; stock exchange; tourism; real estate
    Umfang: VIII, 254 Seiten
  25. Fluglärmbelastung und Immobilien
    Ergebnisse neuer Studien für Deutschland
    Autor*in: Thießen, Friedrich
    Erschienen: 2013
    Verlag:  Technische Universität Chemnitz, Chemnitz ; Universitätsbibliothek Chemnitz

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    Sprache: Deutsch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    RVK Klassifikation: QT 382 ; AR 24300 ; PN 576 ; QT 382
    Schriftenreihe: WWDP : Diskussionspapiere der Fakultät für Wirtschaftswissenschaften der Technischen Universität Chemnitz ; 110
    Schlagworte: Immobilienanlage; Immobilienwirtschaft; Unbewegliche Sache; Luftverkehr; Flughafen; Lärm; Bodenpreis; Luftverkehr; Fluglärm; Wertminderung
    Weitere Schlagworte: (stw)Luftverkehr; (stw)Flughafen; (stw)Lärm; (stw)Immobilienpreis; (stw)Deutschland; Luftverkehr; Fluglärm; Immobilien; air transport; noise pollution; real estate; Arbeitspapier; Graue Literatur; Übersichtsarbeit
    Umfang: Online-Ressource
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