Modelling the Performance of Irish Credit Unions, 2002 to 2010

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    This study undertakes a modeling based performance assessment of all Irish credit unions between 2002 and 2010, a particularly turbulent period in their history. The analysis explicitly addresses the current challenges faced by credit unions in that the modeling approach used rewards credit unions for reducing undesirable outputs (impaired loans and investments) as well as for increasing desirable outputs (loans, earning assets and members’ funds) and decreasing inputs (labour expenditure, capital expenditure and fund expenses). The main findings are: credit unions are subject to increasing returns to scale; technical regression occurred in the years after 2007; there is significant scope for an improvement in efficiency through expansion of desirable outputs and contraction of undesirable outputs and inputs; and that larger credit unions, that are better capitalised and pay a higher dividend to members are more efficient than their smaller, less capitalised, and lower dividend paying counterparts.


    • Modelling the Performance of Irish Credit Unions, 2002 to 2010

      Rights statement: © 2014 John Wiley & Sons Ltd This is the peer reviewed version of the following article: Glass, J. C., McKillop, D. G. and Quinn, B. (2014), Modelling the Performance of Irish Credit Unions, 2002 to 2010. Financial Accountability & Management, which has been published in final form at 10.1111/faam.12041. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archivingjavascript:void(0);

      Accepted author manuscript, 605 KB, PDF-document


    Original languageEnglish
    Number of pages24
    Pages (from-to)430-453
    JournalFinancial Accountability & Management
    Journal publication dateNov 2015
    Issue number4
    Early online date08 Oct 2014
    Publication statusPublished - Nov 2015

      Research areas

    • Credit unions, efficiency, impaired loans and investments

    Research outputs



    ID: 2818693