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The Statistical Measurement of Business Conditions for Small Entrepreneurs
Высшая школа экономики
,
2017.
No. WP BRP 71/STI/2017.
A specific feature of business conditions surveys describing actual and expected short-term trends of company financial and economic activities is the non-quantitative nature of the relevant data. To facilitate its interpretation and visualisation for various user groups, the respondents’ answers are typically aggregated into simple and composite indicators (CI). This study proposes, tests, and validates conceptual and information measurement hypotheses for building and applying such CI, which provide an integrated assessment of small entrepreneur (SE) economic sentiment. These CI demonstrate a strong, statistically significant correlation with growth cycles of reference statistical indicators. A theoretical model for building CI to measure business conditions for SE is presented, and a relevant toolset is described. Industry-specific features of building business conditions indicators are illustrated using the retail and wholesale sectors as examples. New opportunities for the visualisation and analytical presentation of the cyclic profiles of indicators are demonstrated, based on tracers tracking their phase-to-phase movement. New information and analysis-related areas are identified for the application of nonparametric data to estimate the current state and expected development of SE
Lola I. S., Statistical Journal of the IAOS 2019 No. vol 35, no.4 P. 715-733
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Малое предпринимательство - один из ведущих секторов, во многом определяющий темпы экономического роста, состояния занятости населения, структуру и качество валового национального продукта. Развитие малого бизнеса отвечает общемировым тенденциям к формированию гибкой смешанной экономики, сочетанию разных форм собственности и адекватной им модели хозяйства, в которой реализуется сложный синтез конкурентного рыночного механизма и государственного регулирования крупного, среднего ...
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Rudenko V., Ayvazyan S. A., Афанасьев М. Ю., Modeling of Artificial Intelligence 2017 Т. 4 № 1 С. 21-28
Copulas are being successfully applied for derivation of estimates in the models related to stochastic production functions. They can be used for handling of panel data, for the analysis of models with multiple outputs and for improvement of estimates in classical models. The research proposes an algorithm for specification of extended class of models for ...
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