IDEAS home Printed from https://ideas.repec.org/p/zbw/bubdp1/201012.html
   My bibliography  Save this paper

User costs of housing when households face a credit constraint: evidence for Germany

Author

Listed:
  • Dümmler, Tobias
  • Kienle, Stephan

Abstract

We develop a formula for user costs of housing on the basis of a neoclassical approach to housing investment which does not impose a perfect capital market assumption. We suggest that the definition for the user costs of housing should be extended by an additional term which mirrors the credit constraints a household would be faced with. This extension term consists of the inflation gap between consumer and house price inflation multiplied with an average loan-to-value ratio and the real house prices. The empirical relevance of our finding is confirmed by a VECM. A time series for the user costs of housing is calculated using this extended definition.

Suggested Citation

  • Dümmler, Tobias & Kienle, Stephan, 2010. "User costs of housing when households face a credit constraint: evidence for Germany," Discussion Paper Series 1: Economic Studies 2010,12, Deutsche Bundesbank.
    • Handle: RePEc:zbw:bubdp1:201012
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/36660/1/630339503.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stock, James H & Watson, Mark W, 1988. "Variable Trends in Economic Time Series," Journal of Economic Perspectives, American Economic Association, vol. 2(3), pages 147-174, Summer.
    2. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    3. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    4. MacKinnon, James G, 1994. "Approximate Asymptotic Distribution Functions for Unit-Root and Cointegration Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 167-176, April.
    5. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    6. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-472, August.
    7. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Carlos Cañizares Martínez & Gabe J. de Bondt & Arne Gieseck, 2023. "Forecasting housing investment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 543-565, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Neil R. Ericsson & James G. MacKinnon, 2002. "Distributions of error correction tests for cointegration," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 285-318, June.
    2. Yau, Hwey-Yun & Nieh, Chien-Chung, 2006. "Interrelationships among stock prices of Taiwan and Japan and NTD/Yen exchange rate," Journal of Asian Economics, Elsevier, vol. 17(3), pages 535-552, June.
    3. Alexander Schätz, 2010. "Macroeconomic Effects on Emerging Market Sector Indices," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 9(2), pages 131-169, August.
    4. Chien-Chung Nieh & Hwey-Yun Yau & Ken Hung & Hong-Kou Ou & Shine Hung, 2013. "Cointegration and causal relationships among steel prices of Mainland China, Taiwan, and USA in the presence of multiple structural changes," Empirical Economics, Springer, vol. 44(2), pages 545-561, April.
    5. Phengpis, Chanwit, 2006. "Market efficiency and cointegration of spot exchange rates during periods of economic turmoil: Another look at European and Asian currency crises," Journal of Economics and Business, Elsevier, vol. 58(4), pages 323-342.
    6. Zou, Gao Lu, 2012. "The long-term relationships among China's energy consumption sources and adjustments to its renewable energy policy," Energy Policy, Elsevier, vol. 47(C), pages 456-467.
    7. Korap, Levent, 2011. "A closer look at the money multipliers for the Turkish economy: Is there a stable relationship?," MPRA Paper 40778, University Library of Munich, Germany.
    8. Alexander Schätz & Steffen Sebastian, 2009. "The links between property and the economy -- evidence from the British and German markets," Journal of Property Research, Taylor & Francis Journals, vol. 26(2), pages 171-191, September.
    9. K. W. Chau & Gaolu Zou, 2018. "Energy Prices, Real Estate Sales and Industrial Output in China," Energies, MDPI, vol. 11(7), pages 1-15, July.
    10. Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2014. "Causality and contagion in EMU sovereign debt markets," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 12-27.
    11. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2005. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Trinity Economics Papers tep20021, Trinity College Dublin, Department of Economics.
    12. Acaravici, Ali, 2010. "Structural Breaks, Electricity Consumption and Economic Growth: Evidence from Turkey," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 140-154, July.
    13. Senay ACIKGOZ & Anil AKCAGLAYAN, 2014. "Turkiye’de Cari Islemler Aciginin Surdurulebilirligi," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 14(1), pages 83-97.
    14. Yuan, Chunming, 2011. "The exchange rate and macroeconomic determinants: Time-varying transitional dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 22(2), pages 197-220, August.
    15. Sebastian Kripfganz & Daniel C. Schneider, 2020. "Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1456-1481, December.
    16. Teixeira, Aurora A.C. & Fortuna, Natércia, 2010. "Human capital, R&D, trade, and long-run productivity. Testing the technological absorption hypothesis for the Portuguese economy, 1960-2001," Research Policy, Elsevier, vol. 39(3), pages 335-350, April.
    17. Abo-Zaid Salem M, 2011. "The Trade-Growth Relationship in Israel Revisited: Evidence from Annual Data, 1960-2004," Review of Middle East Economics and Finance, De Gruyter, vol. 6(3), pages 63-93, February.
    18. Levent, Korap, 2006. "Seigniorage revenue and Turkish economy," MPRA Paper 20106, University Library of Munich, Germany.
    19. Enzo Weber, 2006. "British Interest Rate Convergence Between The Us And Europe: A Recursive Cointegration Analysis," The IUP Journal of Monetary Economics, IUP Publications, vol. 0(4), pages 29-47, November.
    20. Giannellis, Nikolaos & Papadopoulos, Athanasios P., 2009. "Testing for efficiency in selected developing foreign exchange markets: An equilibrium-based approach," Economic Modelling, Elsevier, vol. 26(1), pages 155-166, January.

    More about this item

    Keywords

    Housing investments; user costs of housing; cointegration;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:bubdp1:201012. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/dbbgvde.html .

    Please note that corrections may 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.