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Attenuation Bias, Recall Error and the Housing Wealth Effect

Author

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  • McCarthy, Yvonne
  • McQuinn, Kieran

Abstract

The greater use of microeconomic and survey based data in addressing key financial stability related questions is a natural outcome of the recent financial crisis. Amongst other benefits, the use of such data enables a more precise understanding of the differing attitudes and responses of individual agents such as households to financial shocks. However, some difficulties can arise with the use, in particular, of survey data in this regard. In this paper we calculate measurement error in the house prices “recalled” by a representative sample of mortgaged Irish households and illustrate the degree of attenuation bias consequently introduced into estimates of housing wealth effects, when recall as opposed to actual house prices are used.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • McCarthy, Yvonne & McQuinn, Kieran, 2016. "Attenuation Bias, Recall Error and the Housing Wealth Effect," Papers RB2016/3/8, Economic and Social Research Institute (ESRI).
    • Handle: RePEc:esr:wpaper:rb2016/3/8
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    File URL: https://www.esri.ie/pubs/RB20160308.pdf
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    Cited by:

    1. Windsor, Callan & La Cava, Gianni & Hansen, James, 2015. "Home price beliefs: Evidence from Australia," Journal of Housing Economics, Elsevier, vol. 29(C), pages 41-58.
    2. Kieran McQuinn & Teresa Monteiro & Conor O’Toole, 2021. "House Price Expectations, Labour Market Developments and the House Price to Rent Ratio: A User Cost of Capital Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 62(1), pages 25-47, January.
    3. Yvonne McCarthy & Kieran McQuinn, 2017. "Deleveraging in a Highly Indebted Property Market: Who does it and are there Implications for Household Consumption?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(1), pages 95-117, March.
    4. McIndoe-Calder, Tara, 2024. "Administrative meets survey data: measuring household indebtedness in Ireland," Research Technical Papers 2/RT/24, Central Bank of Ireland.
    5. Yang, Qianqian & Ye, Zihan & Chen, Rongda, 2024. "Working longer or working harder? Subjective survival expectations and labor supply in China," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 827-847.

    More about this item

    Keywords

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    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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