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This master's thesis investigates the impact of exchange rate volatility on trade balance of the Czech Republic during 2005-2016. The analysis is performed on the constructed panel dataset for 53 trading partners of the Czech Republic by estimating the trade gravity models. The realized volatility values are obtained for 43 Czech koruna pairs against the local currencies. The variables included into the empirical analysis are the GDP and population of the Czech Republic and its trading partners, realized volatility, weighted distance, contiguity, direct access to the sea and information on EU and OECD membership. The methodological approaches in the analysis are calculations of realized exchange rate volatility and for gravity models panel data estimation techniques: pooled OLS, fixed effects and random effects. The gravity models are compared by the formal tests, and the most efficient among them is the fixed effects. The results of the estimated augmented model reveal significant positive impact of exchange rate volatility on trade balance of the Czech Republic. The key variables that have the expected significant positive impact on trade balance are GDP of the Czech Republic and its trading partners in the basic model, population of the Czech Republic and EU membership in the augmented model....

The main objective of this thesis was to examine the determinants of Russian export directed to its 36 main trading partners. Employing the Gravity model, the standard gravity variables, such as economic masses of the trading partners and their distance, were estimated as having significant impacts on the volume of export from Russia. However, a special attention was paid to the role of FDI, studying whether FDI flows or FDI stock act as complements or substitutes of the export. Unfortunately, with the help of the Fixed-effects and the Random-effects estimation methods we came to statistically insignificant conclusions, which might have been caused by the prevalence of missing observations in the FDI variables.

In this thesis, we analyzed the determinants of export in the Czech Republic and Germany. For this purpose, we used panel data from the years 1995-2013. To estimate our model we followed the literature applying Poisson pseudo-maximum likelihood method and the traditional method of ordinary least squares with logarithmic transformation. We have verified basic assumptions of the gravity model that the most important determinants affecting foreign trade between countries are their GDPs and the distance between them. Some institutional variables and membership of countries in the euro area were found to have also the impact on export. We failed to confirm the influence of countries openness and their trade barriers. Powered by TCPDF (www.tcpdf.org)

Panel data analysis is the modern approach of statistical and econometric modeling. The aim of the thesis is to estimate the gravity model of international trade in alcoholic beverages in the form of bilateral trade flow depending on the gross domestic product and other associated variables that facilitate trading. The data have a panel structure. Based on the results of panel unit root tests the stationarity of variables in the panel and the expected long-term relationship between the analyzed variables are tested. Gravity model is assuming the existence of long-term relationships built through various methods, such as pooling OLS estimate, fixed and random effects models, cointegrated regression DOLS and FMOLS. Cointegration relationship is verified by Pedroni panel test.

This thesis if focused on the application of methods of robust econometrics to real economic data. We focuse on the issuies of international trade in Czech Republic and the problem of employment and growth of small businesses in Europe. We also focues on estimation of panel data by classical approaches (least squares, fixed effects, GMM) and bzy robust techniques. The first part of dissertation focuses on analyzing determinants of FDI in Czech manufacturing industry. The aim is to estimate a model where the stock of FDI is expressed as a function of several economic factors (K/L, profit per worker, R&D, Balassa index and others). We estimate these models by OLS, fixed effects and GMM. With regard to ambiguous results we used least trimmed squares as a diagnostic tool for detection of outliers. Elimination of two polluting industries out of the data set brings certain improvement in significance of some factors. The second part of dissertation we focus on an estimation of models of employment and net production in 28 European countries for small businesses as a function of economic and institutional variables by special technique of estimation. We describe robust version of within group fixed effects estimation. The aim of paper is to estimate a set of models and to test the properties of estimator. With...

Export promotion via officially supported export credits and insurance is relatively widespread around the world. The thesis describes activity of Czech Export Bank (CEB) and mentions also its legal framework in Czech system of export promotion. Text contains pros and cons of export promotion. The main part of the thesis is panel data analysis using gravity equation. This panel data involves 130 countries in period of 1996 -- 2008 with data on export, export promotion, GDP, political risk and other variables. There is investigated impact of activities of CEB on Czech export using 2 gravity models (static and dynamic). In these models export promotion is significant factor with positive impact on Czech export.