IDEAS home Printed from
   My bibliography  Save this paper

Modelling Household Debt and Financial Assets: A Bayesian Approach to a Bivariate Two-Part Model


  • Li Su

    (MRC Biostatistics Unit, Cambridge, UK)

  • Sarah Brown

    () (Department of Economics, The University of Sheffield)

  • Pulak Ghosh

    (Department of Quantitative Methods and Information Systems, Indian Institute of Management at Bangalore, India)

  • Karl Taylor

    () (Department of Economics, The University of Sheffield)


In this paper, we contribute to the empirical literature on household finances by introducing a Bayesian bivariate two-part model. With correlated random effects, the proposed approach allows for the potential interdependence between the holding of assets and debt at the household level and also encompasses a two-part process to allow for differences in the influences of the independent variables on the decision to hold debt or assets and the influences of the independent variables on the amount of debt or assets held. Finally, we also incorporate joint modelling of household size into the framework to allow for the fact that the debt and asset information is collected at the household level and hence household size may be strongly correlated with household debt and assets. Our findings endorse our joint modelling approach and, furthermore, confirm that certain explanatory variables exert different influences on the binary and continuous parts of the model.

Suggested Citation

  • Li Su & Sarah Brown & Pulak Ghosh & Karl Taylor, 2012. "Modelling Household Debt and Financial Assets: A Bayesian Approach to a Bivariate Two-Part Model," Working Papers 2012009, The University of Sheffield, Department of Economics.
  • Handle: RePEc:shf:wpaper:2012009

    Download full text from publisher

    File URL:
    File Function: First version, 2012
    Download Restriction: no

    References listed on IDEAS

    1. Sarah Brown & Gaia Garino & Karl Taylor, 2008. "Mortgages and Financial Expectations: A Household-Level Analysis," Southern Economic Journal, Southern Economic Association, vol. 74(3), pages 857-878, January.
    2. Sarah Brown & Karl Taylor, 2008. "Household debt and financial assets: evidence from Germany, Great Britain and the USA," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(3), pages 615-643.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Assets; Bayesian Approach; bridge distribution; debt; two-Part model;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:shf:wpaper:2012009. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jacob Holmes). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.