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Martin Wersing

Personal Details

First Name:Martin
Middle Name:
Last Name:Wersing
Suffix:
RePEc Short-ID:pwe151
[This author has chosen not to make the email address public]
http://www.abdn.ac.uk/business/disciplines/accountancy/profiles/martin.wersing
University of Aberdeen Business School Edward Wright Building Room S68 Aberdeen AB24 3QY United Kingdom
Terminal Degree:2010 Institut für Statistik und Ökonometrie (ISÖ); Wirtschaftswissenschaftliche Fakultät; Humboldt-Universität Berlin (from RePEc Genealogy)

Affiliation

(12%) Business School
University of Aberdeen

Aberdeen, United Kingdom
http://www.abdn.ac.uk/business/
RePEc:edi:bsabduk (more details at EDIRC)

(88%) Sonderforschungsbereich 649: Ökonomisches Risiko
Wirtschaftswissenschaftliche Fakultät
Humboldt-Universität Berlin

Berlin, Germany
http://sfb649.wiwi.hu-berlin.de/
RePEc:edi:sohubde (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2020. "How useful is listings data for research?," FORLand Working Papers 19 (2020), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
  2. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2019. "Land value appraisal using statistical methods," FORLand Working Papers 07 (2019), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
  3. Schulz, Rainer & Wersing, Martin, 2015. "Forecasting the oil price using house prices," SFB 649 Discussion Papers 2015-041, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  4. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2014. "Identifying Berlin's land value map using adaptive weights smoothing," SFB 649 Discussion Papers 2015-003, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  5. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2014. "Identifying Berlin's land value map using adaptive weights smoothing," SFB 649 Discussion Papers 2015-003, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  6. Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2013. "Automated valuation modelling: A specification exercise," SFB 649 Discussion Papers 2013-046, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  7. Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2013. "Automated valuation modelling: A specification exercise," SFB 649 Discussion Papers 2013-046, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  8. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2012. "Location, location, location: Extracting location value from house prices," SFB 649 Discussion Papers 2012-040, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  9. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2012. "Location, Location, Location: Extracting Location Value from House Prices," Discussion Papers of DIW Berlin 1216, DIW Berlin, German Institute for Economic Research.
  10. Schulz, Rainer & Wersing, Martin, 2012. "A slab in the face: Building quality and neighborhood effects," SFB 649 Discussion Papers 2012-020, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  11. Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2009. "Renting versus owning and the role of income risk: The case of Germany," SFB 649 Discussion Papers 2009-060, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  12. Rainer Schulz & Martin Wersing & Axel Werwatz, 2008. "Renting Versus Owning And The Role Of Income Risk: The Case Of Germany," ERES eres2008_248, European Real Estate Society (ERES).
  13. Schulz, Rainer & Staiber, Markus & Wersing, Martin & Werwatz, Axel, 2008. "The accuracy of long-term real estate valuations," SFB 649 Discussion Papers 2008-019, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  14. Schulz, Rainer & Staiber, Markus & Wersing, Martin & Werwatz, Axel, 2008. "The accuracy of long-term real estate valuations," SFB 649 Discussion Papers 2008-019, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    repec:hum:wpaper:sfb649dp2012-020 is not listed on IDEAS
    repec:hum:wpaper:sfb649dp2015-041 is not listed on IDEAS

Articles

  1. Schulz, Rainer & Watson, Verity & Wersing, Martin, 2023. "Teleworking and housing demand," Regional Science and Urban Economics, Elsevier, vol. 101(C).
  2. Rainer Schulz & Martin Wersing, 2021. "Automated Valuation Services: A case study for Aberdeen in Scotland," Journal of Property Research, Taylor & Francis Journals, vol. 38(2), pages 154-172, April.
  3. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2021. "Real estate listings and their usefulness for hedonic regressions," Empirical Economics, Springer, vol. 61(6), pages 3239-3269, December.
  4. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2019. "Bodenwertermittlung mit statistischen Methoden [Land value appraisal using statistical methods]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 131-154, November.
  5. Schulz, Rainer & Wersing, Martin, 2018. "The revival of East Berlin’s land market after the German reunification," Journal of Housing Economics, Elsevier, vol. 42(C), pages 19-29.
  6. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2015. "Identifying Berlin’s land value map using adaptive weights smoothing," Computational Statistics, Springer, vol. 30(3), pages 767-790, September.
  7. Rainer Schulz & Martin Wersing & Axel Werwatz, 2014. "Automated valuation modelling: a specification exercise," Journal of Property Research, Taylor & Francis Journals, vol. 31(2), pages 131-153, June.
  8. Rainer Schulz & Martin Wersing & Axel Werwatz, 2014. "Renting versus Owning and the Role of Human Capital: Evidence from Germany," The Journal of Real Estate Finance and Economics, Springer, vol. 48(4), pages 754-788, May.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2020. "How useful is listings data for research?," FORLand Working Papers 19 (2020), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".

    Cited by:

    1. Robert J. Hill & Norbert Pfeifer & Miriam Steurer, 2020. "The Airbnb Rent-Premium and the Crowding-Out of Long-Term Rentals," Graz Economics Papers 2020-06, University of Graz, Department of Economics.

  2. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2019. "Land value appraisal using statistical methods," FORLand Working Papers 07 (2019), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".

    Cited by:

    1. Gabriel S. Lee & Stefanie Braun, 2020. "The Prices of Residential Land in German Counties," Working Papers 194, Bavarian Graduate Program in Economics (BGPE).
    2. Ha Pham Thi & Tuan Nguyen Tran & Van Quan Nguyen & Van Trung Nguyen, 2022. "Land Price Regression Model and Land Value Region Map to Support Residential Land Price Management: A Study in Nghe an Province, Vietnam," Real Estate Management and Valuation, Sciendo, vol. 30(1), pages 71-83, March.

  3. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2014. "Identifying Berlin's land value map using adaptive weights smoothing," SFB 649 Discussion Papers 2015-003, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Ritter, Matthias & Helbing, Georg & Shen, Zhiwei & Odening, Martin, 2017. "Estimating Location Values of Agricultural Land," 57th Annual Conference, Weihenstephan, Germany, September 13-15, 2017 261985, German Association of Agricultural Economists (GEWISOLA).
    2. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2019. "Bodenwertermittlung mit statistischen Methoden [Land value appraisal using statistical methods]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 131-154, November.
    3. Fiebig, Ewelina Marta, 2021. "On data-driven choice of λ in nonparametric Gaussian regression via Propagation–Separation approach," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
    4. Ahlfeldt, Gabriel M. & Heblich, Stephan & Seidel, Tobias, 2021. "Micro-geographic property price and rent indices," LSE Research Online Documents on Economics 113922, London School of Economics and Political Science, LSE Library.
    5. Ostap Okhrin & Stefan Trück, 2015. "Editorial to the special issue on Applicable semiparametrics of computational statistics," Computational Statistics, Springer, vol. 30(3), pages 641-646, September.
    6. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2019. "Land value appraisal using statistical methods," FORLand Working Papers 07 (2019), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    7. Gabriel S. Lee & Stefanie Braun, 2020. "The Prices of Residential Land in German Counties," Working Papers 194, Bavarian Graduate Program in Economics (BGPE).
    8. Stefan Seifert & Christoph Kahle & Silke Hüttel, 2021. "Price Dispersion in Farmland Markets: What Is the Role of Asymmetric Information?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1545-1568, August.
    9. Kumhof, Michael & Tideman, Nicolaus & Hudson, Michael & Goodhart, Charles A., 2022. "Post-Corona Balanced-Budget Super-Stimulus: The Case for Shifting Taxes onto Land," VfS Annual Conference 2022 (Basel): Big Data in Economics 264042, Verein für Socialpolitik / German Economic Association.
    10. Yun Hye Hwang & Ivan Kurniawan Nasution & Deepika Amonkar & Amy Hahs, 2020. "Urban Green Space Distribution Related to Land Values in Fast-Growing Megacities, Mumbai and Jakarta–Unexploited Opportunities to Increase Access to Greenery for the Poor," Sustainability, MDPI, vol. 12(12), pages 1-17, June.

  4. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2014. "Identifying Berlin's land value map using adaptive weights smoothing," SFB 649 Discussion Papers 2015-003, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Ritter, Matthias & Helbing, Georg & Shen, Zhiwei & Odening, Martin, 2017. "Estimating Location Values of Agricultural Land," 57th Annual Conference, Weihenstephan, Germany, September 13-15, 2017 261985, German Association of Agricultural Economists (GEWISOLA).
    2. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2019. "Bodenwertermittlung mit statistischen Methoden [Land value appraisal using statistical methods]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 131-154, November.
    3. Fiebig, Ewelina Marta, 2021. "On data-driven choice of λ in nonparametric Gaussian regression via Propagation–Separation approach," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
    4. Ahlfeldt, Gabriel M. & Heblich, Stephan & Seidel, Tobias, 2021. "Micro-geographic property price and rent indices," LSE Research Online Documents on Economics 113922, London School of Economics and Political Science, LSE Library.
    5. Ostap Okhrin & Stefan Trück, 2015. "Editorial to the special issue on Applicable semiparametrics of computational statistics," Computational Statistics, Springer, vol. 30(3), pages 641-646, September.
    6. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2019. "Land value appraisal using statistical methods," FORLand Working Papers 07 (2019), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    7. Gabriel S. Lee & Stefanie Braun, 2020. "The Prices of Residential Land in German Counties," Working Papers 194, Bavarian Graduate Program in Economics (BGPE).
    8. Stefan Seifert & Christoph Kahle & Silke Hüttel, 2021. "Price Dispersion in Farmland Markets: What Is the Role of Asymmetric Information?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1545-1568, August.
    9. Kumhof, Michael & Tideman, Nicolaus & Hudson, Michael & Goodhart, Charles A., 2022. "Post-Corona Balanced-Budget Super-Stimulus: The Case for Shifting Taxes onto Land," VfS Annual Conference 2022 (Basel): Big Data in Economics 264042, Verein für Socialpolitik / German Economic Association.
    10. Yun Hye Hwang & Ivan Kurniawan Nasution & Deepika Amonkar & Amy Hahs, 2020. "Urban Green Space Distribution Related to Land Values in Fast-Growing Megacities, Mumbai and Jakarta–Unexploited Opportunities to Increase Access to Greenery for the Poor," Sustainability, MDPI, vol. 12(12), pages 1-17, June.

  5. Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2013. "Automated valuation modelling: A specification exercise," SFB 649 Discussion Papers 2013-046, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Miriam Steurer & Robert Hill, 2019. "Metrics for Evaluating the Performance of Automated Valuation Models," Graz Economics Papers 2019-02, University of Graz, Department of Economics.
    2. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2019. "Bodenwertermittlung mit statistischen Methoden [Land value appraisal using statistical methods]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 131-154, November.
    3. Jannet C. Bencure & Nitin K. Tripathi & Hiroyuki Miyazaki & Sarawut Ninsawat & Sohee Minsun Kim, 2019. "Development of an Innovative Land Valuation Model (iLVM) for Mass Appraisal Application in Sub-Urban Areas Using AHP: An Integration of Theoretical and Practical Approaches," Sustainability, MDPI, vol. 11(13), pages 1-17, July.
    4. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2019. "Land value appraisal using statistical methods," FORLand Working Papers 07 (2019), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    5. Demetris Demetriou, 2017. "A spatially based artificial neural network mass valuation model for land consolidation," Environment and Planning B, , vol. 44(5), pages 864-883, September.
    6. Elena Bykowa & Maria Skachkova & Ivan Raguzin & Irina Dyachkova & Maxim Boltov, 2022. "Automation of Negative Infrastructural Externalities Assessment Methods to Determine the Cost of Land Resources Based on the Development of a “Thin Client” Model," Sustainability, MDPI, vol. 14(15), pages 1-29, July.
    7. Robert J. Hill & Norbert Pfeifer & Miriam Steurer, 2020. "The Airbnb Rent-Premium and the Crowding-Out of Long-Term Rentals," Graz Economics Papers 2020-06, University of Graz, Department of Economics.

  6. Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2013. "Automated valuation modelling: A specification exercise," SFB 649 Discussion Papers 2013-046, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Miriam Steurer & Robert Hill, 2019. "Metrics for Evaluating the Performance of Automated Valuation Models," Graz Economics Papers 2019-02, University of Graz, Department of Economics.
    2. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2019. "Bodenwertermittlung mit statistischen Methoden [Land value appraisal using statistical methods]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 131-154, November.
    3. Jannet C. Bencure & Nitin K. Tripathi & Hiroyuki Miyazaki & Sarawut Ninsawat & Sohee Minsun Kim, 2019. "Development of an Innovative Land Valuation Model (iLVM) for Mass Appraisal Application in Sub-Urban Areas Using AHP: An Integration of Theoretical and Practical Approaches," Sustainability, MDPI, vol. 11(13), pages 1-17, July.
    4. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2019. "Land value appraisal using statistical methods," FORLand Working Papers 07 (2019), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    5. Demetris Demetriou, 2017. "A spatially based artificial neural network mass valuation model for land consolidation," Environment and Planning B, , vol. 44(5), pages 864-883, September.
    6. Elena Bykowa & Maria Skachkova & Ivan Raguzin & Irina Dyachkova & Maxim Boltov, 2022. "Automation of Negative Infrastructural Externalities Assessment Methods to Determine the Cost of Land Resources Based on the Development of a “Thin Client” Model," Sustainability, MDPI, vol. 14(15), pages 1-29, July.
    7. Robert J. Hill & Norbert Pfeifer & Miriam Steurer, 2020. "The Airbnb Rent-Premium and the Crowding-Out of Long-Term Rentals," Graz Economics Papers 2020-06, University of Graz, Department of Economics.

  7. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2012. "Location, location, location: Extracting location value from house prices," SFB 649 Discussion Papers 2012-040, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2019. "Bodenwertermittlung mit statistischen Methoden [Land value appraisal using statistical methods]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 131-154, November.
    2. Henry Wüstemann & Gero Coppel & Marco Masin, 2015. "Landnutzung und ländlicher Tourismus: Eine hedonische Analyse," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 8(1), pages 48-59.
    3. Hinrichs, Nils & Kolbe, Jens & Werwatz, Axel, 2020. "AVM and high dimensional data: Do ridge, the lasso or the elastic net provide an "automated" solution?," FORLand Working Papers 22 (2020), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    4. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2019. "Land value appraisal using statistical methods," FORLand Working Papers 07 (2019), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    5. Gabriel S. Lee & Stefanie Braun, 2020. "The Prices of Residential Land in German Counties," Working Papers 194, Bavarian Graduate Program in Economics (BGPE).
    6. Fuess, Roland & Koller, Jan A. & Weigand, Alois, 2017. "Best Land Use with Negative Externalities: Determining Land Values from Residential Rents," Working Papers on Finance 1705, University of St. Gallen, School of Finance, revised May 2019.
    7. Kolbe, Jens & Wüstemann, Henry, 2014. "Estimating the value of Urban Green Space: A hedonic pricing analysis of the housing market in Cologne, Germany," SFB 649 Discussion Papers 2015-002, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    8. Roland Füss & Jan A. Koller & Alois Weigand, 2021. "Determining Land Values from Residential Rents," Land, MDPI, vol. 10(4), pages 1-29, March.

  8. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2012. "Location, Location, Location: Extracting Location Value from House Prices," Discussion Papers of DIW Berlin 1216, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2019. "Bodenwertermittlung mit statistischen Methoden [Land value appraisal using statistical methods]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 131-154, November.
    2. Henry Wüstemann & Gero Coppel & Marco Masin, 2015. "Landnutzung und ländlicher Tourismus: Eine hedonische Analyse," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 8(1), pages 48-59.
    3. Hinrichs, Nils & Kolbe, Jens & Werwatz, Axel, 2020. "AVM and high dimensional data: Do ridge, the lasso or the elastic net provide an "automated" solution?," FORLand Working Papers 22 (2020), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    4. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2019. "Land value appraisal using statistical methods," FORLand Working Papers 07 (2019), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    5. Gabriel S. Lee & Stefanie Braun, 2020. "The Prices of Residential Land in German Counties," Working Papers 194, Bavarian Graduate Program in Economics (BGPE).
    6. Fuess, Roland & Koller, Jan A. & Weigand, Alois, 2017. "Best Land Use with Negative Externalities: Determining Land Values from Residential Rents," Working Papers on Finance 1705, University of St. Gallen, School of Finance, revised May 2019.
    7. Kolbe, Jens & Wüstemann, Henry, 2014. "Estimating the value of Urban Green Space: A hedonic pricing analysis of the housing market in Cologne, Germany," SFB 649 Discussion Papers 2015-002, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    8. Roland Füss & Jan A. Koller & Alois Weigand, 2021. "Determining Land Values from Residential Rents," Land, MDPI, vol. 10(4), pages 1-29, March.

Articles

  1. Schulz, Rainer & Watson, Verity & Wersing, Martin, 2023. "Teleworking and housing demand," Regional Science and Urban Economics, Elsevier, vol. 101(C).

    Cited by:

    1. Gill, Balbinder Singh, 2024. "COVID-19 mortality risk premium and the interest rate on mortgage loans," International Review of Financial Analysis, Elsevier, vol. 93(C).

  2. Rainer Schulz & Martin Wersing, 2021. "Automated Valuation Services: A case study for Aberdeen in Scotland," Journal of Property Research, Taylor & Francis Journals, vol. 38(2), pages 154-172, April.

    Cited by:

    1. Jungsun Kim & Jaewoong Won & Hyeongsoon Kim & Joonghyeok Heo, 2021. "Machine-Learning-Based Prediction of Land Prices in Seoul, South Korea," Sustainability, MDPI, vol. 13(23), pages 1-14, November.

  3. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2021. "Real estate listings and their usefulness for hedonic regressions," Empirical Economics, Springer, vol. 61(6), pages 3239-3269, December.

    Cited by:

    1. Mateusz Tomal & Marco Helbich, 2023. "A spatial autoregressive geographically weighted quantile regression to explore housing rent determinants in Amsterdam and Warsaw," Environment and Planning B, , vol. 50(3), pages 579-599, March.
    2. Damian Przekop, 2022. "Artificial Neural Networks vs Spatial Regression Approach in Property Valuation," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 14(2), pages 199-223, June.
    3. Trojanek, Radoslaw & Gluszak, Michal, 2022. "Short-run impact of the Ukrainian refugee crisis on the housing market in Poland," Finance Research Letters, Elsevier, vol. 50(C).
    4. Jean-Charles Bricongne & Baptiste Meunier & Sylvain Pouget, 2023. "Web-scraping housing prices in real-time: The Covid-19 crisis in the UK," SciencePo Working papers Main hal-04064185, HAL.
    5. Robert J. Hill & Norbert Pfeifer & Miriam Steurer & Radoslaw Trojanek, 2021. "Warning: Some Transaction Prices can be Detrimental to your House Price Index," Graz Economics Papers 2021-11, University of Graz, Department of Economics.
    6. Hill, Robert J. & Trojanek, Radoslaw, 2022. "An evaluation of competing methods for constructing house price indexes: The case of Warsaw," Land Use Policy, Elsevier, vol. 120(C).
    7. Pfeifer Norbert & Steurer Miriam, 2022. "Early Real Estate Indicators during the COVID-19 Crisis," Journal of Official Statistics, Sciendo, vol. 38(1), pages 319-351, March.
    8. Michał Hebdzyński, 2024. "Price-setting factors or revealed preferences? How to understand the results of hedonic models and hedonic indices of the housing rental market that base on listings data?," Bank i Kredyt, Narodowy Bank Polski, vol. 55(4), pages 519-550.
    9. Natividad Guadalajara & Miguel Ángel López & Adina Iftimi & Antonio Usai, 2021. "Influence of the Cadastral Value of the Urban Land and Neighborhood Characteristics on the Mean House Mortgage Appraisal," Land, MDPI, vol. 10(3), pages 1-17, March.

  4. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2015. "Identifying Berlin’s land value map using adaptive weights smoothing," Computational Statistics, Springer, vol. 30(3), pages 767-790, September.
    See citations under working paper version above.
  5. Rainer Schulz & Martin Wersing & Axel Werwatz, 2014. "Automated valuation modelling: a specification exercise," Journal of Property Research, Taylor & Francis Journals, vol. 31(2), pages 131-153, June.
    See citations under working paper version above.
  6. Rainer Schulz & Martin Wersing & Axel Werwatz, 2014. "Renting versus Owning and the Role of Human Capital: Evidence from Germany," The Journal of Real Estate Finance and Economics, Springer, vol. 48(4), pages 754-788, May.

    Cited by:

    1. Goodness C. Aye & Rangan Gupta, 2019. "Macroeconomic Uncertainty And The Comovement In Buying Versus Renting In The Usa," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(3), pages 93-121, September.
    2. Goodness C. Aye & Rangan Gupta, 2018. "Macroeconomic Uncertainty and the Comovement in Buying versus Renting in the United States," Working Papers 201832, University of Pretoria, Department of Economics.
    3. Seshimo, Hiroyuki, 2014. "Adverse selection versus hold up: Tenure choice, tenancy protection and equilibrium in housing markets," Regional Science and Urban Economics, Elsevier, vol. 48(C), pages 39-55.
    4. Cizek, Pavel & Sadikoglu, Serhan, 2022. "Nonseparable Panel Models with Index Structure and Correlated Random Effects," Discussion Paper 2022-009, Tilburg University, Center for Economic Research.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 9 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-URE: Urban and Real Estate Economics (8) 2008-04-29 2009-12-11 2012-02-27 2012-06-05 2012-07-01 2014-02-02 2015-08-30 2021-01-25. Author is listed
  2. NEP-GEO: Economic Geography (3) 2012-06-05 2012-07-01 2014-02-02
  3. NEP-FOR: Forecasting (2) 2008-04-29 2015-08-30
  4. NEP-ACC: Accounting and Auditing (1) 2021-01-25
  5. NEP-AGR: Agricultural Economics (1) 2012-07-01
  6. NEP-ENE: Energy Economics (1) 2015-08-30
  7. NEP-GER: German Papers (1) 2015-08-30
  8. NEP-MAC: Macroeconomics (1) 2015-08-30
  9. NEP-ORE: Operations Research (1) 2021-01-25

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Martin Wersing should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.