The significance of insolvency statistics and the regression analysis thereof – the example of the Czech Republic

نویسندگان

  • LUBOŠ SMRČKA
  • JAROSLAV SCHÖNFELD
  • MARKÉTA ARLTOVÁ
  • JAN PLAČEK
چکیده

The study concerns the problem of statistical data and the regression analyses thereof, primarily on the example of the Czech Republic, which, for the purposes of the models used, has been supplemented by data concerning groups of developed countries. The authors proceed from the assumption that information on the efficiency of insolvency processes is important for understanding the functioning of the entire economic system of a given region, insofar as the efficiency of these processes are known to entrepreneurial subjects and therefore becomes a part of their decision-making processes. Therefore, it is especially decisions concerning risks that are influenced, which leads to this efficiency becoming a part of prices and other fundamental market circumstances. Then, on the basis of international comparisons, mathematical models (regression analysis) examine the mutual dependency between yields from insolvency proceedings, costs of these proceedings and duration of proceedings. A critique of source data then leads to the expression of a need for high-quality national statistics, and the possibilities of gaining such information is demonstrated on the example of the

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تاریخ انتشار 2014