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Climate policy and transition risk in the housing market

Author

Listed:
  • Ferentinos, Konstantinos

    (Lancaster University)

  • Gibberd, Alex

    (Lancaster University)

  • Guin, Benjamin

    (Bank of England)

Abstract

Public policies aimed at mitigating climate change can come with the transition risk of sudden adjustments of asset prices. We study the consequences of a policy intervention addressing greenhouse gas emissions in the housing market. Leveraging a unique data set of the population of all house transactions in England and Wales, we document novel evidence of transition risk. Prices of carbon-intensive properties affected by this policy decreased by about £5,000 to £9,000 relative to unaffected ones. We interpret this result as evidence in favour of semi-strong market efficiency in the housing market. We infer moderate implications for financial stability and for the wealth distribution among homeowners.

Suggested Citation

  • Ferentinos, Konstantinos & Gibberd, Alex & Guin, Benjamin, 2021. "Climate policy and transition risk in the housing market," Bank of England working papers 918, Bank of England.
    • Handle: RePEc:boe:boeewp:0918
    as

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    1. Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," SciencePo Working papers Main hal-03455978, HAL.
    2. Andreas Fagereng & Luigi Guiso & Davide Malacrino & Luigi Pistaferri, 2016. "Heterogeneity in Returns to Wealth and the Measurement of Wealth Inequality," American Economic Review, American Economic Association, vol. 106(5), pages 651-655, May.
    3. Simon Freyaldenhoven & Christian Hansen & Jesse M. Shapiro, 2019. "Pre-event Trends in the Panel Event-Study Design," American Economic Review, American Economic Association, vol. 109(9), pages 3307-3338, September.
    4. Card, David & Krueger, Alan B, 1994. "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania," American Economic Review, American Economic Association, vol. 84(4), pages 772-793, September.
    5. Philipp Krueger & Zacharias Sautner & Laura T Starks, 2020. "The Importance of Climate Risks for Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1067-1111.
    6. Bolton, Patrick & Kacperczyk, Marcin, 2021. "Do investors care about carbon risk?," Journal of Financial Economics, Elsevier, vol. 142(2), pages 517-549.
    7. Croissant, Yves & Millo, Giovanni, 2008. "Panel Data Econometrics in R: The plm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i02).
    8. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    9. Karl E. Case & Robert J. Shiller, 1990. "Forecasting Prices and Excess Returns in the Housing Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 18(3), pages 253-273, September.
    10. Hardy, A. & Glew, D., 2019. "An analysis of errors in the Energy Performance certificate database," Energy Policy, Elsevier, vol. 129(C), pages 1168-1178.
    11. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
    12. Jenny Crawley & Phillip Biddulph & Paul J. Northrop & Jez Wingfield & Tadj Oreszczyn & Cliff Elwell, 2019. "Quantifying the Measurement Error on England and Wales EPC Ratings," Energies, MDPI, vol. 12(18), pages 1-19, September.
    13. Gunther Maier & Shanaka Herath, 2010. "Efficiency Of The Real Estate Market: A Meta-Analysis," ERES eres2010_114, European Real Estate Society (ERES).
    14. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    15. Ho, Daniel & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2011. "MatchIt: Nonparametric Preprocessing for Parametric Causal Inference," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i08).
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    Cited by:

    1. Biasin, Massimo & Delle Foglie, Andrea & Giacomini, Emanuela, 2024. "Addressing climate challenges through ESG-real estate investment strategies: An asset allocation perspective," Finance Research Letters, Elsevier, vol. 63(C).
    2. Bell, Jennifer & Battisti, Giuliana & Guin, Benjamin, 2023. "The greening of lending: Evidence from banks’ pricing of energy efficiency before climate-related regulation," Economics Letters, Elsevier, vol. 230(C).

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    More about this item

    Keywords

    Climate policy; transition risk; house prices; financial stability; wealth inequality;
    All these keywords.

    JEL classification:

    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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