THEORETICAL BASIS OF RESULTS UNCERTAINTY DETERMINATION METHODOLOGY FOR ECONOMIC MEASUREMENTS, CARRIED OUT BY INDEPENDENT EXPERT EVALUATION METHODS

The article behaves to the field of assets and property rights independent expert appraising/valuation. Theoretical bases, on those economic measurements expert valuation results uncertainty degree methodology is based, are examined. The substantiation of the probabilistic-metrological approach methodology principles to evaluation results uncertainty degree quantitative determination, based on the evaluation result interval form presentation, is considered. The requirements of national and international evaluation standards for the evaluation results uncertainty are analyzed. The methodology of evaluation results accuracy objective quantitative indexes is described and performed. It is well-proven that the level of valuation results errors at economic measurements implementation can be set on the basis of information theory and measurement errors theory laws application. It is shown that in the case of Comparative Sales and Income approaches applying, uncertainties for given levels of confidence probability in the form of numerical values of the confidence interval limits can be established on the basis of similar property adjusted single unit value indicators or rental rate rows statistical processing. The conditions that must be met when these economic measurements performing are formulated. The main principles of the economic measurements implementation using the metrological methodical approach are considered. It is grounded on independent valuation results uncertainty degree quantitative determination on the basis of economic measurements series implementation with next results row statistical processing. Base terms, limitations, original assumptions of that evaluation works accuracy conditions are set. Possible directions of evaluation methodologies further improvement are analyzed. Attention is accented on the informative-metrological approach to valuation results uncertainty degree exposure. It is shown that it gives an opportunity to set the valuation uncertainty degree by objective quantitative indexes, as these results errors estimates. Some recommendations in relation to priority directions of further researches are offered.