|
|
Using spin model to determine FTTx connectivity market potential in the Czech Republic
Munduch, Pavel ; Krištoufek, Ladislav (advisor) ; Červinka, Michal (referee)
The our thesis "Using spin model to determine FTTx connectivity market po- tential in the Czech Republic", we firstly map the current landscape of the Czech broadband technology market. Additionally, we present an overview of Ising model's interdisciplinary applications. Afterwards, we describe the dy- namics of the Ising model and in particular we study the convergence tendencies of Ising model generated series as well as the spin positioning in the Ising model lattices based on the input parameters. Consequently, we assume the spins in the model to represent the fiber tech- nology and alternative technology and thus we link the Ising model, its parame- ters and outputs to the problem of fiber connectivity potential. Apart from the standard input parameters of the Ising model, we also introduce variability in terms of the distribution of the initial lattice and we define four archetypes to represent real market situations. Ultimately, we describe the sets of parameters for which the market appears to have the most potential of fiber deployment. JEL Classification A12, C6, C15 Keywords Ising model, econophysics, fiber technology, broadband connection Title Using spin model to determine FTTx connectiv- ity market potential in the Czech Republic
|
|
|
Econometric Analysis of Inequality
Munduch, Pavel ; Cahlík, Tomáš (advisor) ; Moravcová, Michala (referee)
This bachelor thesis aims to explore the contemporary issue of income inequali- ty/equality in European context. Exploring the already existing literature and looking at unbalanced panel data from 41 European countries and observa- tions from the 1992-2014 period, this works seeks for anysystematic evidence of causal determinants in regards to incresing or reducing income inequality. Variables such economic growth, education, religion, tax, democracy or corrup- tion are included in the analysis. After carrying out the process of choosing fitting model, testing for serial correlation or heteroskedasticity and applying robust errors, the significant effects turned to be present in trade, taxes, cor- ruption and democracy areas. Implying that increase in trade to GDP ratio, improvingdemocracy,fightingcorruptionandincreasedtaxincomesresultin lower income inequality. JEL Classification Keywords income inequality, Gini coefficient, econometrics Author's e-mail pavelmunduch@gmail.com Supervisor's e-mail cahlik@fsv.cuni.cz
|
guest ::
