National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Application of machine learning methods for estimating apartment prices in the Czech Republic
Nikodym, Jakub ; Krištoufek, Ladislav (advisor) ; Baruník, Jozef (referee)
In this thesis, we propose alternative ways to apartments' mass appraisal. This work enriches the current literature by combining several techniques of data extraction and price estimation. We are not aware of any similar work providing an in-depth overview of the Czech apartment market. Throughout the empirical analysis, five different methods (OLS, LASSO, decision tree, random forests, and kNN) are applied to the dataset of 15,848 classifieds. The aim of the study is to find the most accurate method of esti- mating offering prices, using structured variables as well as data extracted by text mining. We use various accuracy statistics and graphical analysis to vali- date our results. Tree-based methods, specifically the random forest algorithm, results with the highest accuracy in predicting offering prices. Additionally, text-based variables included in the model cause the reduction of errors on linear models. The last part of the analysis covers the main determinants of property value in Prague and the rest of the Czech Republic. We show that prices in Prague can be estimated with higher preciseness and with the lower number of independent variables.
Network Readiness and Internet Usage in the European Union
Nikodym, Jakub ; Serdarevič, Goran (advisor) ; Princ, Michael (referee)
This thesis focuses on the analysis of key drivers of broadband internet take-up and usage in the European Union. In particular, we explore the coverage effect on fixed-to-mobile broadband substitution and the consequent impact of computer skills and education parameters on e- services usage. These fields have undergone rapid transformation within the EU digital economy in recent years, especially due to the introduction of faster 'next generation' broadband networks and development of web applications. The research question investigates decisions of households with regards to broadband adoption as well as the impact of education and digital skills on the use of e-services. Our qualitative analysis examines differences in performance across EU member states considering key indicators set by the Digital Agenda for Europe 2020 policy objectives. We then apply empirical methods using panel data to test our two research questions. Our findings suggest that there is a significant effect of network coverage on the fixed-to-mobile broadband substitution and we confirm the relevance of computer skills on the increased usage of e-services in the EU.

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