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Titlebook: Economic Miracles in the European Economies; Magdalena Osińska Book 2019 Springer Nature Switzerland AG 2019 European economics.Postwar Eu

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發(fā)表于 2025-3-25 04:23:22 | 只看該作者
https://doi.org/10.1007/978-3-658-22273-4crease due mainly to immigration, large injections of capital, technological progress and transition from basic production of growing citrus and polishing diamonds, to current state of the art technologies.
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發(fā)表于 2025-3-25 07:42:28 | 只看該作者
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發(fā)表于 2025-3-25 13:34:37 | 只看該作者
Economic Miracles: An Introductione main goal of this chapter is to introduce the reader into the subject matter as well as to lay foundations for further theoretical developments and real-life examples of economies that experienced the economic miracle. Furthermore, this chapter is a link between the other chapters presented in thi
24#
發(fā)表于 2025-3-25 15:56:35 | 只看該作者
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發(fā)表于 2025-3-25 22:32:39 | 只看該作者
Political Determinants of Government Structure and Economic Performance in Turkey Since 1950ore parties and by ideologically compatible and incompatible parties, minority and military governments. While single-party governments all lasted at least two terms, the rest rarely lasted even one term. The timing of these governments and the order in which they followed each other were not by cha
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發(fā)表于 2025-3-26 03:18:37 | 只看該作者
Determinants of Economic Growth in Spain: A Historical Viewpointis period, from a comparative point of view, the important structural changes are highlighted. Later, the role of labour and total factor productivity on trending growth are analysed, as are the main shocks and macroeconomic imbalances that have accompanied them. With an increase in annual per capit
27#
發(fā)表于 2025-3-26 07:51:37 | 只看該作者
28#
發(fā)表于 2025-3-26 12:04:52 | 只看該作者
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發(fā)表于 2025-3-26 16:10:10 | 只看該作者
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發(fā)表于 2025-3-26 19:24:17 | 只看該作者
Threshold Error Correction Model: A Methodological Overviewto time series modelling using both a univariate case and a multivariate case. The concept of stationarity is crucial when a model specification is projected. When time series are stationary, then threshold autoregression models or threshold distributed lag models can be estimated. These models repr
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