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Trend model of integration monetary and fiscal politics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F19%3APU133094" target="_blank" >RIV/00216305:26510/19:PU133094 - isvavai.cz</a>

  • Result on the web

    <a href="http://economic-research.pl/Books/index.php/eep/catalog/book/39" target="_blank" >http://economic-research.pl/Books/index.php/eep/catalog/book/39</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Trend model of integration monetary and fiscal politics

  • Original language description

    Research background: Monetary and fiscal policy tasks can be unique, com plex and multidisciplinary – economy, sociology, politic s, and etc. These are the main reasons why such tasks are solved under information shortages. Trends, i.e. increasing, decreasing, constant values, are the le ast information intensive quantifiers. Trend heuristics quantified by trends; „a growth rate of money supply (M1) is increasing” is a trend heuristic. A set of trend heuristics is studied as a generator of a complete list of all possible trend scenarios. Methods: The solution of a trend model M(X) is a set S of sc enarios where X is the set of n variables. A set T of transitions amon g the set of scenarios S is used to generate unsteady state behaviours formalised by an oriented graph H. Any future and past time behaviour of a system under study is characterised by a path within the transitional graph H. A tree, which is a sub gr aph of the graph H can be used as a trend decision tree. The data set required by the standard evaluation of a decision tree is usually available just partially. This pape r presents a very simple evaluation algorithm, which is based on an easy to understand evaluation heuristics, e.g. “a longer decision tree sub-path is less probable. The case study presents six trend models M(X) and their solutions. Findings & Value added: The largest model has 28 trend heuristics and 13 scenarios. The relevant transitional grap his prese nted in details.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10700 - Other natural sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    10th International Conference on Applied Economics Contemporary Issues in Economy

  • ISBN

    978-83-65605-10-8

  • ISSN

  • e-ISSN

  • Number of pages

    1

  • Pages from-to

    64-64

  • Publisher name

    Polish Economic Society Branch in Toruń

  • Place of publication

    Toruń

  • Event location

    Toruń

  • Event date

    Jun 27, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article