Rozšířené statistické vyhodnocení výsledků simulací stochastického Input-Output modelu
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F04%3A00009873" target="_blank" >RIV/61989100:27510/04:00009873 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The possibilities how to use stochastic simulation and numeric methods for the creation of structured Input-Output models
Popis výsledku v původním jazyce
Leontieff's I-O models simulate the relations among the individual industries of a national or regional economy and relevant inputs and outputs. These models appeared during sixties years of the last century as a generalisation and an extension of the export base theory that is a bit older one. Models allow to analyse the links among the particular industries, to identify key and crisis resorts and to find an answer to the question what would happen if a model component changed . I-O models do not enable to describe an economy behaviour in a dynamic way. It limits their usage in the field of prediction and prevention. One of the possible approaches towards the stochastic dynamisation of I-O models can be considering all basic parametres of the concretemodel as random values with a certain probability distribution. In this case we can use numerical methods, particularly Monte Carlo method. In this case we can use numerical methods, particularly Monte Carlo method. The method Monte Carl
Název v anglickém jazyce
The possibilities how to use stochastic simulation and numeric methods for the creation of structured Input-Output models
Popis výsledku anglicky
Leontieff's I-O models simulate the relations among the individual industries of a national or regional economy and relevant inputs and outputs. These models appeared during sixties years of the last century as a generalisation and an extension of the export base theory that is a bit older one. Models allow to analyse the links among the particular industries, to identify key and crisis resorts and to find an answer to the question what would happen if a model component changed . I-O models do not enable to describe an economy behaviour in a dynamic way. It limits their usage in the field of prediction and prevention. One of the possible approaches towards the stochastic dynamisation of I-O models can be considering all basic parametres of the concretemodel as random values with a certain probability distribution. In this case we can use numerical methods, particularly Monte Carlo method. In this case we can use numerical methods, particularly Monte Carlo method. The method Monte Carl
Klasifikace
Druh
C - Kapitola v odborné knize
CEP obor
AH - Ekonomie
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
Z - Vyzkumny zamer (s odkazem do CEZ)
Ostatní
Rok uplatnění
2004
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název knihy nebo sborníku
Studies and Analyses of the Macro and Microeconomic Systems' Structures and Behavior Using the Economic-Mathematical Methods
ISBN
80-248-0666-5
Počet stran výsledku
11
Strana od-do
55-65
Počet stran knihy
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Název nakladatele
Faculty of Economics, Technical University of Ostrava
Místo vydání
Ostrava
Kód UT WoS kapitoly
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