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House Price Shocks and Household Savings: evidence from Dutch administrative data

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  • Nancy van Beers
  • Michiel Bijlsma
  • Remco Mocking

Abstract

We study the effect of house price shocks on the savings behaviour of Dutch homeowners over the period 2006-2011. Using unique administrative data, we build a balanced panel of slightly less than 2 million Dutch home owning households, containing information on house values, wealth, income and other background characteristics. We find a negative relationship between house price changes and savings, with the largest effects for young households with negative housing equity. In our baseline specification, we find larger effects for house price increases compared to house price decreases. Households of age 30 with loan-to-value ratios above one, save roughly 3 euro less for a 100 euro increase in house prices, while they save around 1 euro more for a 100 euro decrease. The asymmetric effect of price declines versus increases holds in most, but not all specifications.

Suggested Citation

  • Nancy van Beers & Michiel Bijlsma & Remco Mocking, 2015. "House Price Shocks and Household Savings: evidence from Dutch administrative data," CPB Discussion Paper 299, CPB Netherlands Bureau for Economic Policy Analysis.
  • Handle: RePEc:cpb:discus:299
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    Cited by:

    1. Duchi, Fabio & Elbourne, Adam, 2016. "Credit supply shocks in the Netherlands," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 51-71.
    2. Michiel Bijlsma & Remco Mocking, 2017. "The Impact of House Price Shocks on the Savings of Dutch Homeowners and Renters," CPB Discussion Paper 346, CPB Netherlands Bureau for Economic Policy Analysis.
    3. Michiel Bijlsma & Remco Mocking, 2017. "The Impact of House Price Shocks on the Savings of Dutch Homeowners and Renters," CPB Discussion Paper 346.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    4. van Veldhuizen, Sander & Vogt, Benedikt & Voogt, Bart, 2020. "Negative home equity reduces household mobility: Evidence from administrative data," Journal of Housing Economics, Elsevier, vol. 47(C).
    5. Jante Parlevliet & Thomas Kooiman, 2015. "Wealth formation of Dutch households: a policy assessment," DNB Occasional Studies 1301, Netherlands Central Bank, Research Department.
    6. Christophe André, 2016. "Household debt in OECD countries: stylised facts and policy issues," Chapters from NBP Conference Publications, in: Hanna Augustyniak & Jacek Łaszek & Krzysztof Olszewski & Joanna Waszczuk (ed.), Papers presented during the Narodowy Bank Polski Workshop: Recent trends in the real estate market and its analysis - 2015 edition, chapter 2, pages v1, 33-85, Narodowy Bank Polski, Economic Research Department.

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    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations

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