National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Predicting Achievement of Selected Sustainable Development Goals
Kamenický, Léon ; Cahlík, Tomáš (advisor) ; Cazachevici, Alina (referee)
Bibliographic note KAMENICKÝ, Léon. Predicting Achievement of Selected Sustainable De- velopment Goals. Prague 2019. 66 pp. Bachelor thesis (Bc.) Charles Uni- versity, Faculty of Social Sciences, Institute of Economic Studies. Thesis supervisor doc. Ing. Tomáš Cahlík, CSc. Abstract The aim of this thesis is through using the appropriate tools of econometric analysis to identify some of the variables having impact on the development, whether positively or negatively, on selected Sustainable Development Goals. They became part of the agenda in United Nations back in 2015. As the sample used for the analysis contains observations on around 170 countries in a time period from 2000 till 2016, the panel data approach for economet- ric modeling is the most suitable to rely on. There are plenty econometric studies focused on analyzing the SGDs through cross-sectional examples, however only few of them are looking at them from a global perspective. The main findings of the analysis do not include only statistically significant explanatory variables identified. Supported by a concrete example, there is an evidence that some of the goals require more focus on proper data collect- ing on their corresponding indicator. This turns some of them to be hardly measurable and the simple tools of econometric analysis...
Predicting Achievement of Selected Sustainable Development Goals
Kamenický, Léon ; Cahlík, Tomáš (advisor) ; Cazachevici, Alina (referee)
Bibliographic note KAMENICKÝ, Léon. Predicting Achievement of Selected Sustainable De- velopment Goals. Prague 2019. 66 pp. Bachelor thesis (Bc.) Charles Uni- versity, Faculty of Social Sciences, Institute of Economic Studies. Thesis supervisor doc. Ing. Tomáš Cahlík, CSc. Abstract The aim of this thesis is through using the appropriate tools of econometric analysis to identify some of the variables having impact on the development, whether positively or negatively, on selected Sustainable Development Goals. They became part of the agenda in United Nations back in 2015. As the sample used for the analysis contains observations on around 170 countries in a time period from 2000 till 2016, the panel data approach for economet- ric modeling is the most suitable to rely on. There are plenty econometric studies focused on analyzing the SGDs through cross-sectional examples, however only few of them are looking at them from a global perspective. The main findings of the analysis do not include only statistically significant explanatory variables identified. Supported by a concrete example, there is an evidence that some of the goals require more focus on proper data collect- ing on their corresponding indicator. This turns some of them to be hardly measurable and the simple tools of econometric analysis...

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