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In our research we estimate the elasticity of substitution post-communist economies integrated in European Union. There are many approaches to estimate the production function coefficients as the elasticity of substitution. We argue that a frequency panel model is suitable econometric tool for our purposes. We derive the specification from the capital demand first-order condition of firm maximising its profit. Data are adapted from the World Penn Tables and World Development Indicators, World Bank. Data are modified with band-pass filter to abstract them from the business cycles and the short-term effects driven by different underlying processes. The filter creates overlapping observations, the stochastic term is serially correlated and therefore feasible generalized least squares estimator is used. Comparing the results with the relevant results in a world literature we estimate relatively low value of the elasticity of substitution in European post-communist countries. Possible explanations are discussed. This work is licensed under aCreative Commons Attribution-NonCommercial 4.0 International License.

In our research we estimate the elasticity of substitution post-communist economies integrated in European Union. There are many approaches to estimate the production function coefficients as the elasticity of substitution. We argue that a frequency panel model is suitable econometric tool for our purposes. We derive the specification from the capital demand first-order condition of firm maximising its profit. Data are adapted from the World Penn Tables and World Development Indicators, World Bank. Data are modified with band-pass filter to abstract them from the business cycles and the short-term effects driven by different underlying processes. The filter creates overlapping observations, the stochastic term is serially correlated and therefore feasible generalized least squares estimator is used. Comparing the results with the relevant results in a world literature we estimate relatively low value of the elasticity of substitution in European post-communist countries. Possible explanations are discussed.

In our research we estimate the elasticity of substitution post-communist economies integrated in European Union. There are many approaches to estimate the production function coefficients as the elasticity of substitution. We argue that a frequency panel model is suitable econometric tool for our purposes. We derive the specification from the capital demand first-order condition of firm maximising its profit. Data are adapted from the World Penn Tables and World Development Indicators, World Bank. Data are modified with band-pass filter to abstract them from the business cycles and the short-term effects driven by different underlying processes. The filter creates overlapping observations, the stochastic term is serially correlated and therefore feasible generalized least squares estimator is used. Comparing the results with the relevant results in a world literature we estimate relatively low value of the elasticity of substitution in European post-communist countries. Possible explanations are discussed. This work is licensed under aCreative Commons Attribution-NonCommercial 4.0 International License.

The European post-communist countries that have integrated into the European Union are emerging market economies. However, their short-run economic performance does not correspond to the observed business cycles of other global emerging markets. The business cycles of the studied countries are longer, and their recessions are more pronounced. Moreover, economic activity in the studied countries is relatively low and volatile, and the trade balance and government purchases have a relatively significant countercyclical character. These are the core conclusions from our business cycle study of the chosen European post-communist countries. In the study, we use both traditional and contemporary business cycle definitions. Using traditional definitions, we determine the peaks, troughs, expansions and contractions and quantify the durations and amplitudes of their expansions, recessions and business cycles. Using contemporary definitions, we measure cyclical properties by computing the first and second moments of the chosen macroeconomic cyclical components and growth rates. Differences in the business cycles and characteristics between European post-communist countries and other emerging countries are discussed with reference to the works of other authors.

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