IDEAS home Printed from https://ideas.repec.org/p/ecb/ecbwps/20232807.html
   My bibliography  Save this paper

Forecasting housing investment

Author

Listed:
  • Martínez, Carlos Cañizares
  • de Bondt, Gabe
  • Gieseck, Arne

Abstract

This study applies a model averaging approach to conditionally forecast housing investment in the largest euro area countries and the euro area. To account for substantial modelling uncertainty, it estimates many vector error correction models (VECMs) using a wide set of short and long-run determinants and selects the most promising specifications based on in-sample and out-of-sample criteria. Our results highlight marked cross-country heterogeneity in the key drivers of housing investment which calls for country-specific housing market policies. A pseudo out-of-sample forecast exercise shows that our model averaging approach beats a battery of ambitious benchmark models, including BVARs, FAVARs, LASSO and Ridge regressions. This suggests that there is ample scope for model averaging tools in forecast exercises, notably as they also help to reduce model uncertainty and can be used to assess forecast uncertainty. JEL Classification: C32, C51, C52, C53, E22

Suggested Citation

  • Martínez, Carlos Cañizares & de Bondt, Gabe & Gieseck, Arne, 2023. "Forecasting housing investment," Working Paper Series 2807, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20232807
    Note: 337418
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecb.wp2807~3a515f34a0.en.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Piazzesi, M. & Schneider, M., 2016. "Housing and Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1547-1640, Elsevier.
    2. Emanuel Kohlscheen & Aaron Mehrotra & Dubravko Mihaljek, 2020. "Residential Investment and Economic Activity: Evidence from the Past Five Decades," International Journal of Central Banking, International Journal of Central Banking, vol. 16(6), pages 287-329, December.
    3. 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.
    4. Cerutti, Eugenio & Dagher, Jihad & Dell'Ariccia, Giovanni, 2017. "Housing finance and real-estate booms: A cross-country perspective," Journal of Housing Economics, Elsevier, vol. 38(C), pages 1-13.
    5. James M. Poterba, 1983. "Tax Subsidies to Owner-occupied Housing: An Asset Market Approach," Working papers 339, Massachusetts Institute of Technology (MIT), Department of Economics.
    6. Bjorn Dohring, 2018. "Cyclical patterns of residential construction," Quarterly Report on the Euro Area (QREA), Directorate General Economic and Financial Affairs (DG ECFIN), European Commission, vol. 17(3), pages 59-67, December.
    7. Prodromos Vlamis, 2013. "Greek Fiscal Crisis and Repercussions for the Property Market," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 76, Hellenic Observatory, LSE.
    8. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    9. Dieter Gerdesmeier & Andreja Lenarčič & Barbara Roffia, 2015. "An alternative method for identifying booms and busts in the Euro area housing market," Applied Economics, Taylor & Francis Journals, vol. 47(5), pages 499-518, January.
    10. Goodness C. Aye & Stephen M. Miller & Rangan Gupta & Mehmet Balcilar, 2016. "Forecasting US real private residential fixed investment using a large number of predictors," Empirical Economics, Springer, vol. 51(4), pages 1557-1580, December.
    11. Gabe de Bondt & Arne Gieseck & Pablo Herrero & Zivile Zekaite, 2021. "Euro Area Income and Wealth Effects: Aggregation Issues," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1454-1474, December.
    12. Prodromos Vlamis, 2014. "Greek fiscal crisis and repercussions for the property market," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 32(1), pages 21-34, January.
    13. Prodromos Vlamis, 2014. "Greek fiscal crisis and repercussions for the property market," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 32(1), pages 21-34, January.
    14. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    15. Dirk Bezemer & Maria Grydaki & Lu Zhang, 2016. "More Mortgages, Lower Growth?," Economic Inquiry, Western Economic Association International, vol. 54(1), pages 652-674, January.
    16. A. I. McLeod & W. K. Li, 1983. "Diagnostic Checking Arma Time Series Models Using Squared‐Residual Autocorrelations," Journal of Time Series Analysis, Wiley Blackwell, vol. 4(4), pages 269-273, July.
    17. Knetsch, Thomas A., 2010. "Trend and cycle features in German residential investment before and after reunification," Discussion Paper Series 1: Economic Studies 2010,10, Deutsche Bundesbank.
    18. Kajuth, Florian, 2020. "The German housing market cycle: Answers to FAQs," Discussion Papers 20/2020, Deutsche Bundesbank.
    19. Aastveit, Knut Are & Anundsen, André K. & Herstad, Eyo I., 2019. "Residential investment and recession predictability," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1790-1799.
    20. Nguyen, Quoc Hung, 2013. "Housing investment: What makes it so volatile? Theory and evidence from OECD countries," Journal of Housing Economics, Elsevier, vol. 22(3), pages 163-178.
    21. Wouter Vermeulen & Jan Rouwendal, 2007. "Housing supply in the Netherlands," CPB Discussion Paper 87, CPB Netherlands Bureau for Economic Policy Analysis.
    22. Ana Arencibia Pareja & Samuel Hurtado & Mercedes de Luis López & Eva Ortega, 2017. "New version of the quarterly model of Banco de España (MTBE)," Occasional Papers 1709, Banco de España.
    23. Guido Bulligan & Fabio Busetti & Michele Caivano & Pietro Cova & Davide Fantino & Alberto Locarno & Lisa Rodano, 2017. "The Bank of Italy econometric model: an update of the main equations and model elasticities," Temi di discussione (Economic working papers) 1130, Bank of Italy, Economic Research and International Relations Area.
    24. Francke, Marc & Korevaar, Matthijs, 2021. "Housing markets in a pandemic: Evidence from historical outbreaks," Journal of Urban Economics, Elsevier, vol. 123(C).
    25. Christine Frayne & Agnieszka Szczypińska & Bořek Vašíček & Stefan Zeugner, 2022. "Housing Market Developments in the Euro Area: Focus on Housing Affordability," European Economy - Discussion Papers 171, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    26. Makridakis, Spyros & Spiliotis, Evangelos & Assimakopoulos, Vassilios, 2020. "The M4 Competition: 100,000 time series and 61 forecasting methods," International Journal of Forecasting, Elsevier, vol. 36(1), pages 54-74.
    27. William Miles, 2009. "Irreversibility, Uncertainty and Housing Investment," The Journal of Real Estate Finance and Economics, Springer, vol. 38(2), pages 173-182, February.
    28. Caldera, Aida & Johansson, Åsa, 2013. "The price responsiveness of housing supply in OECD countries," Journal of Housing Economics, Elsevier, vol. 22(3), pages 231-249.
    29. Gattini, Luca & Ganoulis, Ioannis, 2012. "House price responsiveness of housing investments across major European economies," Working Paper Series 1461, European Central Bank.
    30. Angelini, Elena & Bokan, Nikola & Christoffel, Kai & Ciccarelli, Matteo & Zimic, Srečko, 2019. "Introducing ECB-BASE: The blueprint of the new ECB semi-structural model for the euro area," Working Paper Series 2315, European Central Bank.
    31. Frédérick Demers, 2005. "Modelling and Forecasting Housing Investment: The Case of Canada," Staff Working Papers 05-41, Bank of Canada.
    32. Huang, Yuting & Li, Qiang & Liow, Kim Hiang & Zhou, Xiaoxia, 2020. "Is Housing the Business Cycle? A Multiresolution Analysis for OECD Countries," Journal of Housing Economics, Elsevier, vol. 49(C).
    33. Wouter Vermeulen & Jan Rouwendal, 2007. "Housing Supply and Land Use Regulation in the Netherlands," Tinbergen Institute Discussion Papers 07-058/3, Tinbergen Institute.
    34. Gabe Jacob de Bondt & Arne Gieseck & Zivile Zekaite, 2020. "Thick modelling income and wealth effects: a forecast application to euro area private consumption," Empirical Economics, Springer, vol. 58(1), pages 257-286, January.
    35. Jud, G Donald & Winkler, Daniel T, 2003. "The Q Theory of Housing Investment," The Journal of Real Estate Finance and Economics, Springer, vol. 27(3), pages 379-392, November.
    36. Bobeica, Elena & Hartwig, Benny, 2021. "The COVID-19 shock and challenges for time series models," Working Paper Series 2558, European Central Bank.
    37. Edward E. Leamer, 2015. "Housing Really Is the Business Cycle: What Survives the Lessons of 2008–09?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 43-50, March.
    38. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
    39. Enrique Moral-Benito, 2015. "Model Averaging In Economics: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 46-75, February.
    40. Maria Chiara Cavalleri & Boris Cournède & Ezgi Özsöğüt, 2019. "How responsive are housing markets in the OECD? National level estimates," OECD Economics Department Working Papers 1589, OECD Publishing.
    41. Rodriguez-Palenzuela, Diego & Dées, Stéphane & Andersson, Malin & Bijsterbosch, Martin & Forster, Katrin & Zorell, Nico & Audoly, Richard & Buelens, Christian & Compeyron, Guillaume & Ferrando, Annali, 2016. "Savings and investment behaviour in the euro area," Occasional Paper Series 167, European Central Bank.
    42. Robert-Paul Berben & Ide Kearney & Robert Vermeulen, 2018. "DELFI 2.0, DNB's Macroeconomic Policy Model of the Netherlands," DNB Occasional Studies 1605, Netherlands Central Bank, Research Department.
    Full references (including those not matched with items on IDEAS)

    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. Goodness C. Aye & Stephen M. Miller & Rangan Gupta & Mehmet Balcilar, 2016. "Forecasting US real private residential fixed investment using a large number of predictors," Empirical Economics, Springer, vol. 51(4), pages 1557-1580, December.
    2. Moramarco, Graziano, 2024. "Financial-cycle ratios and medium-term predictions of GDP: Evidence from the United States," International Journal of Forecasting, Elsevier, vol. 40(2), pages 777-795.
    3. Alain Kabundi & Eliphas Ndou & Nombulelo Gumata, 2013. "Important Channels of Transmission Monetary Policy Shock in South Africa," Working Papers 375, Economic Research Southern Africa.
    4. Darracq Pariès, Matthieu & Notarpietro, Alessandro & Kilponen, Juha & Papadopoulou, Niki & Zimic, Srečko & Aldama, Pierre & Langenus, Geert & Alvarez, Luis Julian & Lemoine, Matthieu & Angelini, Elena, 2021. "Review of macroeconomic modelling in the Eurosystem: current practices and scope for improvement," Occasional Paper Series 267, European Central Bank.
    5. Naik, Prasad A., 2015. "Marketing Dynamics: A Primer on Estimation and Control," Foundations and Trends(R) in Marketing, now publishers, vol. 9(3), pages 175-266, December.
    6. Chen, Qitong & Hong, Yongmiao & Li, Haiqi, 2024. "Time-varying forecast combination for factor-augmented regressions with smooth structural changes," Journal of Econometrics, Elsevier, vol. 240(1).
    7. Hertrich Markus, 2019. "A Novel Housing Price Misalignment Indicator for Germany," German Economic Review, De Gruyter, vol. 20(4), pages 759-794, December.
    8. Naser, Hanan, 2016. "Estimating and forecasting the real prices of crude oil: A data rich model using a dynamic model averaging (DMA) approach," Energy Economics, Elsevier, vol. 56(C), pages 75-87.
    9. Caroline Jardet & Baptiste Meunier, 2022. "Nowcasting world GDP growth with high‐frequency data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1181-1200, September.
    10. Alexandre Aspremont & Simon Ben Arous & Jean-Charles Bricongne & Benjamin Lietti & Baptiste Meunier, 2023. "Satellites Turn “Concrete”: Tracking Cement with Satellite Data and Neural Networks," Working papers 916, Banque de France.
    11. Koop, Gary & Korobilis, Dimitris & Pettenuzzo, Davide, 2019. "Bayesian compressed vector autoregressions," Journal of Econometrics, Elsevier, vol. 210(1), pages 135-154.
    12. Sandrine Levasseur, 2013. "Éléments de réflexion sur le foncier et sa contribution au prix de l'immobilier," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(2), pages 365-394.
    13. Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
    14. Bekiros Stelios & Paccagnini Alessia, 2015. "Estimating point and density forecasts for the US economy with a factor-augmented vector autoregressive DSGE model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(2), pages 107-136, April.
    15. Afees A. Salisu & Rangan Gupta & Ahamuefula E. Ogbonna & Mark E. Wohar, 2022. "Uncertainty and predictability of real housing returns in the United Kingdom: A regional analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(7), pages 1525-1556, November.
    16. Christian Glocker & Serguei Kaniovski, 2022. "Macroeconometric forecasting using a cluster of dynamic factor models," Empirical Economics, Springer, vol. 63(1), pages 43-91, July.
    17. Nicoletta Pashourtidou & Christos Papamichael & Charalampos Karagiannakis, 2018. "Forecasting economic activity in sectors of the Cypriot economy," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 12(2), pages 24-66, December.
    18. Daniel Grenouilleau, 2006. "The Stacked Leading Indicators Dynamic Factor Model: A Sensitivity Analysis of Forecast Accuracy using Bootstrapping," European Economy - Economic Papers 2008 - 2015 249, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    19. repec:ipg:wpaper:2014-465 is not listed on IDEAS
    20. repec:onb:oenbwp:y::i:91:b:1 is not listed on IDEAS
    21. Christiana Anaxagorou & Nicoletta Pashourtidou, 2022. "Forecasting economic activity using preselected predictors: the case of Cyprus," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 16(1), pages 11-36, June.
    22. António Rua, 2011. "A wavelet approach for factor‐augmented forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(7), pages 666-678, November.

    More about this item

    Keywords

    Housing investment; model and forecast averaging; Tobin’s Q; VECM;
    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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ecb:ecbwps:20232807. 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: Official Publications (email available below). General contact details of provider: https://edirc.repec.org/data/emieude.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.