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The Econometric Analysis between Divorce Phenomenon and Economic-Social Variables in Romania

Author

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  • Andreea-Ionela PUIU

    (PhD Student - The Bucharest University of Economic Studies, Romania)

Abstract

We are currently observing an increased interest in studying the factors of influence that may cause changes in the family structures and may contribute to the emergence of divorce in our contemporary society. According to the data provided by the National Institute of Statistics, Romania does not represent an exception in this respect and research aimed to distinguish the most important factors that contribute to the expansion of this phenomenon, identifies economic causes as an essential factor in settling such a decision. In this paper it is intended to establish a possible link between the number of divorces in Romania and socio-economic predictors such as, the age at the first marriage for men and women, the monthly average nominal salary, the unemployment rate, the number of graduates in the pre-university education, the percentage of the urban population in the total population and the number of dwellings newly built and received by beneficiaries. Research within the counties, between 1996 and 2014, through a panel data analysis. Also, the present paper is proposing to study the actual differences between rural and urban areas, in order to have a reliable delimitation of the environmental determinants that may lead to this family degradation process.

Suggested Citation

  • Andreea-Ionela PUIU, 2019. "The Econometric Analysis between Divorce Phenomenon and Economic-Social Variables in Romania," Romanian Journal of Economics, Institute of National Economy, vol. 48(1(57)), pages 104-119, June.
    • Handle: RePEc:ine:journl:v:48:y:2019:i:57:p:104-119
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    References listed on IDEAS

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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Divorce; Family; Econometric Analysis; Fixed Effects Model; Panel Data Analysis;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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