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Computer Data Analysis Aimed at Constructing a Model of Establishing the Factors Which Determine Household Savings in the Republic of Croatia


Author Info

  • Darko Dukic

    (ABACUS tuition, research and business consultancy, Osijek)

  • Gordana Dukic

    (ABACUS tuition, research and business consultancy, Osijek)

  • Davorin Turkalj

    (Faculty of Agriculture in Osijek)

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    Examining the relationships between different economic variables has been significantly simplified through the usage of computer analysis. What used to be very complex procedures requiring considerable finances and amounts of time are now greatly reduced thanks to computer technology and adequate software applications. In addition, advances in communication and development of computer networks have provided universal interconnectedness, and thus also permanent accessibility of different data necessary for conducting economic analyses. In this way business entities and macroeconomic policy makers are able to react in a timely manner to changes in the environment, and thus make decisions based on relevant indicators. This paper intends to demonstrate how computer analysis can be applied to construct a model for establishing the factors which determine household savings in the Republic of Croatia. Time and savings deposits of households are an important economic category. They are the source of funds used for loans to both households and businesses. To establish the factors with the heaviest impact on household savings multiple regression analysis was used. In this paper special attention was given to the possibilities of the software package STATISTICA 6.0 intended for solving various statistical problems.

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    Bibliographic Info

    Article provided by Faculty of Economics in Osijek, Croatia in its journal Interdisciplinary Management Research.

    Volume (Year): 3 (2007)
    Issue (Month): ()
    Pages: 99-111

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    Handle: RePEc:osi:journl:v:3:y:2007:p:99-111

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    Related research

    Keywords: computer data analysis; model; relevant variables; time and savings deposits of households; multiple regression analysis;


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