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Grafické modely ve statistice a ekonometrii / Graphical models in statistics and econometrics

Graphical models in statistics and econometrics provide capability to describe causal relations using causal graph in classical regression analysis and others econometric tools. Goal of this thesis is description of causal modelling of time series with help of structural models of vector autoregression. There is description of procedure of building structural VAR model, principle of graphical models and building model for causal dependence analysis. For purpose of comparison there are used data from both USA and Czech Republic and comparison of similar models for both countries is presented. Best models are then selected, to show causal relations between macroeconomic variables. For purpose of analysis, impulse-response functions are used to show impact of demand shock on GDP and other macro indicators.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:165317
Date January 2012
CreatorsHubálek, Ondřej
ContributorsZouhar, Jan, Bisová, Sára
PublisherVysoká škola ekonomická v Praze
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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