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Wyświetlanie 1-3 z 3
Tytuł:
ON THE USE OF PANEL STATIONARITY TESTS IN CONVERGENCE ANALYSIS: EMPIRICAL EVIDENCE FOR THE EU COUNTRIES
Autorzy:
Próchniak, Mariusz
Witkowski, Bartosz
Powiązania:
https://bibliotekanauki.pl/articles/517309.pdf
Data publikacji:
2016
Wydawca:
Instytut Badań Gospodarczych
Tematy:
economic growth
convergence
catching up
stationarity
ADF test
Opis:
The study examines the concept of stochastic convergence in the EU28 countries over the 1994–2013 period. The convergence of individual countries’ GDP per capita towards the EU28 average per capita income level and the pair-wise convergence between the GDP of individual countries are both analyzed. Additionally, we introduce our own concept of conditional stochastic convergence which is based on adjusted GDP per capita series in order to account for the impact of other growth factors on GDP. The analysis is based on time series techniques. To assess stationarity, ADF tests are used. The study shows that the process of stochastic convergence in the EU countries is not as widespread as the cross-sectional studies on b or s convergence indicate. Even if we extend the analysis to examine conditional stochastic convergence, the number of converging economies or pairs of countries rises, but not as much as it could be expected from the cross-sectional studies.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2016, 11, 1; 77-96
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modelowanie realnej konwergencji w skali międzynarodowej
Real Convergence Models in the World
Autorzy:
Próchniak, Mariusz
Witkowski, Bartosz
Powiązania:
https://bibliotekanauki.pl/articles/575911.pdf
Data publikacji:
2006-10-31
Wydawca:
Szkoła Główna Handlowa w Warszawie. Kolegium Analiz Ekonomicznych
Tematy:
economic growth
convergence
panel data
Opis:
The article discusses conditional β-convergence in 126 countries around the world in 1975-2003. The authors offer a theoretical model to explain the essence of convergence. Unlike in most empirical studies, the authors assume that convergence, or the relationship between the rate of economic growth and the initial level of GDP, is not constant but changes over time. The model was constructed on the basis of panel data, using the Fixed Effects estimator and the Generalized Method of Moments estimator developed by Arellano and Bond. The results of the evaluation confirm the existence of β-convergence, which is much faster than suggested by most empirical studies. When per capita GDP is 1% higher, the rate of growth falls by 0.20-0.22 percentage points on average. The β-convergence indicator ranges from 22% to 25%. By assuming that convergence is not constant, the authors proved that there is a strong relationship between the initial level of GDP and the rate of economic growth. This shows that their assumption was fully justified as the main hypothesis of the analysis.
Źródło:
Gospodarka Narodowa. The Polish Journal of Economics; 2006, 211, 10; 1-31
2300-5238
Pojawia się w:
Gospodarka Narodowa. The Polish Journal of Economics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Time stability of the impact of institutions on economic growth and real convergence of the EU countries: implications from the hidden Markov models analysis
Autorzy:
Bernardelli, Michał
Próchniak, Mariusz
Witkowski, Bartosz
Powiązania:
https://bibliotekanauki.pl/articles/22444341.pdf
Data publikacji:
2021
Wydawca:
Instytut Badań Gospodarczych
Tematy:
catching up
convergence
Bayesian model averaging
hidden Markov models
Viterbi path
Opis:
Research background: It is not straightforward to identify the role of institutions for the economic growth. The possible unknown or uncertain areas refer to nonlinearities, time stability, transmission channels, and institutional complementarities. The research problem tackled in this paper is the analysis of the time stability of the relationship between institutions and economic growth and real economic convergence. Purpose of the article: The article aims to verify whether the impact of the institutional environment on GDP dynamics was stable over time or diffed in various subperiods. The analysis covers the EU28 countries and the 1995?2019 period. Methods: We use regression equations with time dummies and interactions to assess the stability of the impact of institutions on economic growth. The analysis is based on the partially overlapping observations. The models are estimated with the use of Blundell and Bond?s GMM system estimator. The results are then averaged with the Bayesian Model Averaging (BMA) approach. Structural breaks are identified on the basis of the Hidden Markov Models (HMM). Findings & value added: The value added of the study is threefold. First, we use the HMM approach to find structural breaks. Second, the BMA method is applied to assess the robustness of the outcomes. Third, we show the potential of HMM in foresighting. The results of regression estimates indicate that good institution reflected in the greater scope of economic freedom and better governance lead to the higher economic growth of the EU countries. However, the impact of institutions on economic growth was not stable over time.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2021, 16, 2; 285-323
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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