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Statistika & My (č. 10/2018): měsíčník Českého statistického úřadu
Český statistický úřad
Měsíčník informující o aktuálním dění v Českém statistickém úřadě. Přináší analýzy, komentáře, výsledky statistických šetření realizovaných a organizovaných ČSÚ, statistické údaje o ČR, jejich obyvatelích včetně mezinárodního srovnání. Uveřejňuje informace o ediční činnosti úřadu, odborných úspěších pracovníků, již uskutečněných a plánovaných tiskových konferencích, seminářích, akcích a dalších aktivitách.
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Results of Health Accounts of the CR - 2015
Český statistický úřad
From an economic and social point of view, healthcare requires more and more resources that draw on complex redistributive relationships. Finally, with the development of globalization and its associated integration tendencies, the need for sharing information on healthcare and the provision of healthcare is highlighted internationally.
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Culture Account Results - 2014
Český statistický úřad ; NIPOS, Národní informační a poradenské středisko pro kulturu
The Czech Republic's Satellite Account for Culture (also referred to as the "Culture Account") was, for the first time, prepared in a verification version for the reference year 2009 following the task of the Government Resolution No. 1452 of 2008. During the preparation of the account and in the evaluation of its results for This year and the following year it turned out that some of the assumptions and intentions contained in the original methodological manual to the account can not be fully fulfilled, Must be repaired.
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Statistical Yearbook of the Czech Republic 2013
Český statistický úřad
Data on the state and development of the most important areas of economic, social and cultural life in the Czech Republic; selected national economy indicators cover the period 2000-2012. A comprehensive statistical overview of all industries of the national economy. Important data are supplemented by a comparison of EU27 countries and a comparison of cohesion regions and regions of the Czech Republic.
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Forecasting Czech GDP Using Mixed-Frequency Data Models
Franta, Michal ; Havrlant, David ; Rusnák, Marek
In this paper we use a battery of various mixed-frequency data models to forecast Czech GDP. The models employed are mixed-frequency vector autoregressions, mixed-data sampling models, and the dynamic factor model. Using a dataset of historical vintages of unrevised macroeconomic and financial data, we evaluate the performance of these models over the 2005–2012 period and compare them with the Czech National Bank’s macroeconomic forecasts. The results suggest that for shorter forecasting horizons the accuracy of the dynamic factor model is comparable to the CNB forecasts. At longer horizons, mixed-frequency vector autoregressions are able to perform similarly or slightly better than the CNB forecasts. Furthermore, moving away from point forecasts, we also explore the potential of density forecasts from Bayesian mixed-frequency vector autoregressions.
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