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Econometric analysis of dependence beer’s consumption on smoke-free law
Sukup, Vojtěch ; Zouhar, Jan (advisor) ; Polonyankina, Tatiana (referee)
The aim of this bachelor thesis is to find out whether there is some dependence between beer consumption and smoke-free law in 41 countries of Europe and adjacent areas in the period from 1998 to 2012 using econometric analysis. The thesis is divided into theoretical part with methodology and practical part. The empirical part is processed by the StataCorp software program STATA. Due to the nature of the database, it is necessery work with them as panel database. These are different from cross-section and time series data. In the STATA program, models OLS, GLS, LDSV, GEE and more, are designed to work with panel data. In the final phase of my work I choose the best model and interpret its values. The intended objective of the work was achieved because the smoke-free law in all models had a negative effect on the consumption of beer.
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Econometric analysis of the prices of mobile phones
Nešpor, Radim ; Formánek, Tomáš (advisor) ; Polonyankina, Tatiana (referee)
The work deals with the econometric analysis of the prices of mobile phones based on the selected parameters. The aim of this thesis is to determine, which of the selected parameters affect the price of a new mobile phone and how they affects the price. The theoretical part deals at first with the regression model and determining statistically significant variables and significance of the model as a whole. Then I introduce different procedures for finding and selecting the best estimate for the model. In this thesis I will focus on three procedures for the selection of explanatory variables: best subset selection, forward stepwise selection and backward stepwise selection. Finally I mention the detection of multicollinearity and heteroscedasticity testing. In the second part, I apply different procedures for the selection of explanatory variables and afterwards, based on the criteria defined in the first part, I will select the best model. Finally, I compare these models and choose the best one.
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Does The Impact of Immigration on Occupational Specialisation differ in Recession and Expansion in European Union?
Polonyankina, Tatiana ; Zouhar, Jan (advisor) ; Dlouhá, Zuzana (referee)
The thesis tests whether the impact of immigration on native workers differs depending on the business cycle. Previous studies proved that labour mobility and the effect of immigration differs with respect to the business cycle. For the expansionary years was found a sizable relocation of native workers to occupations with more interactive rather than manual content as a response to immigration. This is no longer the case for economy in recession period. However, there is null impact on native employment that does not change with the business cycle. The results were found for Spanish labour market and the conclusions about the employment all were found also for American labour market. The European labour market has been studied just in the period before crisis. Following the study about Spanish task specialization we would like to see if there is any change of impact of immigration on native task specialization in European Union. We split the data on the time period of expansion and the time period of economic crisis using the European Labour Force Survey. We would like to examine the effect of immigration on task specialization of natives on three groups of countries, West Europe, Germany and Middle and East Europe.
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Solving of integer problems by dynamic programming
Polonyankina, Tatiana ; Kalčevová, Jana (advisor) ; Lagová, Milada (referee)
Optimalization problems with integer requirements on the variables occurs in real life very often. Unfortunately, finding optimal solutions to such problems are often numerically very difficukt. The work describes several possible algorithms for solving linear integer problems. The reader is also familiarized with the method of dynamic programming and the principle of optimality. This is demonstrated in a practical example of a knapsack model where the calculation is done using tables. The goal of this work is to apply the knowledge from the application of dynamic programming on a typical linear integer problems, namely on the problem of material separation, and thus show the algorithm of calculating integer problems. Finding the optimal integer solution is accomplished in two ways: by the classical method of spreadsheet tables and by the simplified method of using Lagrange multipliers. In the conclusion there are summarized the advantages and disadvantages of solving technic.
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