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Modeling the Farm Distribution in Bulgaria between 1897 – 2005

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  • Polya Angelova

Abstract

Alternative modeling patterns of empirical distribution of the farms according to the dimensions of the plots of land are proposed pursuant to the information from the census of landed property and the farms in Bulgaria between 1897 – 2005. Three modeling functions are applied with graphs close to the empirical distribution curves: exponential distribution, Pareto distribution and the left cut common distribution. The main characteristics of the above distributions are investigated. The parameters of the three functions are assessed by means of the methods of moments with argumentation of selection. The theoretical frequencies of each monitoring are established, evaluating the correlation between the empirical and theoretical distributions. Conclusions are made regarding the characteristics of distribution, according to the ultimate asymmetric shape and the their effect on the state of the contemporary agriculture in Bulgaria.

Suggested Citation

  • Polya Angelova, 2009. "Modeling the Farm Distribution in Bulgaria between 1897 – 2005," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 48-69.
    • Handle: RePEc:bas:econth:y:2009:i:6:p:48-69
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    References listed on IDEAS

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    1. Christian E. Weber, 1999. "More on Slutsky's Equation as Pareto's Solution," History of Political Economy, Duke University Press, vol. 31(3), pages 575-586, Fall.
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    More about this item

    JEL classification:

    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment

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