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Comparison of Factors Determining Czech Exports in Different Aggregations: Analysis by means of an Adjusted Gravity Model
 Smotlachová, Eva ; Benáček, Vladimír (advisor) ; Bobková, Božena (referee)
The aim of the thesis is to estimate determinants of Czech export. The key novelty of the research consists in estimating export flows at three different levels of aggregation (total, machinery, automobiles) and a subsequent comparison of results. An augmented gravity model is implemented for the empirical research and estimated with the use of Ordinary least squares (including time or country dummies) and Poisson pseudo maximum likelihood estimators. Consequently, we propose the comparison based on the Poisson estimates due to incontestable weaknesses of the OLS estimator. Besides, we emphasize the importance of identifying the panel data structure, as we have obtained different results under the two structures (time series and cross-sectional). The predicted models reveal a substantial impact of home and partner's GDP, distance and the European Union. Total and machinery export seem to follow same tendencies, whereas the development of Czech automobile export differs and evolves on an idiosyncratic path. Therefore, it does not coincide with a path expected by trade theories based on the assumption of perfect competitive markets.
Detailed record
Comparison of Factors Determining Czech Exports in Different Aggregations: Analysis by means of an Adjusted Gravity Model
 Smotlachová, Eva ; Benáček, Vladimír (advisor) ; Bobková, Božena (referee)
The aim of the thesis is to estimate determinants of Czech export. The key novelty of the research consists in estimating export flows at three different levels of aggregation (total, machinery, automobiles) and a subsequent comparison of results. An augmented gravity model is implemented for the empirical research and estimated with the use of Ordinary least squares (including time or country dummies) and Poisson pseudo maximum likelihood estimators. Consequently, we propose the comparison based on the Poisson estimates due to incontestable weaknesses of the OLS estimator. Besides, we emphasize the importance of identifying the panel data structure, as we have obtained different results under the two structures (time series and cross-sectional). The predicted models reveal a substantial impact of home and partner's GDP, distance and the European Union. Total and machinery export seem to follow same tendencies, whereas the development of Czech automobile export differs and evolves on an idiosyncratic path. Therefore, it does not coincide with a path expected by trade theories based on the assumption of perfect competitive markets.
Detailed record

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