Trend model of integration monetary and fiscal politics

Kód výsledku v 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>

Výsledek na webu

<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

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Jazyk výsledku

angličtina

Název v původním jazyce

Trend model of integration monetary and fiscal politics

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Trend model of integration monetary and fiscal politics

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10700 - Other natural sciences

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

10th International Conference on Applied Economics Contemporary Issues in Economy

ISBN

978-83-65605-10-8

ISSN

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e-ISSN

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Počet stran výsledku

1

Strana od-do

64-64

Název nakladatele

Polish Economic Society Branch in Toruń

Místo vydání

Toruń

Místo konání akce

Toruń

Datum konání akce

27. 6. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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