National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Importance and predictive capabilities of business cycle surveys in official statistics
Bartáková, Silvie ; Prášilová, Marie (advisor) ; Jiří, Jiří (referee)
The thesis is focused on the status of the business cycle surveys in national and international statistics and on the assessment of their ability to predict the economic development. The theoretical part focuses on the description of the business cycle surveys and their harmonization across the European Union, questionnaires content, indicators structure and dissemination of results. There is also described a detailed procedure of data processing and calculation of confidence indicators in the conditions of the Czech Republic, which is closely related to the analysis of their predictive abilities. The practical part contains the analysis of the basic characteristic of the business cycle surveys and gross value added time series. Based on these analysis, the thesis evaluate the forecasting ability of the Economic Sentiment Indicator as well as sector confidence indicators (industry, construction, trade and services). The last chapter formulates proposals and recommendations relative to the content of the questionnaires, data collection, data processing and the confidence indicators construction that could be employed in order to achieve better predictive ability.
Analysis of the Business Cycle Surveys
Ballarinová, Marie ; Bílková, Diana (advisor) ; Hörmannová, Marie (referee)
The aim of this diploma thesis is to describe the problematic of business cycle and consumer surveys and represent their current development and usage. The secondary objective is to link economical and statistical bonds of business cycle surveys. First, the work describes the basic definition of business cycle surveys and their users. Further it is graphically and theoretically evaluating the current development of particular confidence indicators and their sub-questions. Subsequently is in frame of the current economic development compared development of leading indicators with the development of gross domestic product (calculated using the production method) using the HP filter. In the last part of the work are modeled one-dimensional ARIMA time series models of branch confidence indicators. Result of the work is business cycle surveys analysis in terms of basic economical and statistical ties. Completed work should serve as a material to understand business cycle survey and their importance in frame of economy development.

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