The Dynamics between Economic Growth and Living Standards in EU Countries: A STATICO Approach for the Period 2006-2014

Santos, António Duarte; Ribeiro, Sandra; Castela, Guilherme; Silva, Nelson Tavares da

doi:10.25115/eea.v35i3.2498

SAE

2019

DOI: 10.25115/eea.v35i3.2498

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The Dynamics between Economic Growth and Living Standards in EU Countries: A STATICO Approach for the Period 2006-2014

António Duarte Santos

Sandra Ribeiro²,

Guilherme Castela³

et al.

Abstract: La tasa de crecimiento económico es diferente entre áreas o regiones, y estas divergencias generan un impacto potencial en la calidad de vida. La ocurrencia de la crisis financiera y económica de 2008, puede fortalecer estas brechas. El crecimiento económico en este análisis incluye seis niveles de tasas de crecimiento del producto interno bruto (PIBgr) y siete variables con implicaciones directas en la calidad de vida de las familias. Las observaciones son quince países de la UE, organizados en tres grupos: e… Show more

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Cited by 4 publications

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Multi-way Analysis of the Gender Dimension of the Sustainable Development Goals

Medina-Hernández,

Fernández-Gómez

2024

Soc Indic Res

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The gender dimension of the Sustainable Development Goals (SDG) is integral to the goals established to foster the development of nations, as it is intertwined with other goals and enhances their attainability. Thus, this study examines 28 indicators belonging to the goals of the sustainable development objectives, distinguishing between the gender SDGs (6 indicators) and other SDGs (22 indicators), all of which were reported by 110 countries in the year 2023. The assessment considers four regions: the African continent (28 countries), the Americas region (21 countries), Asia-Oceania (29 countries), and Europe (32 countries). The STATICO multivariate technique is used (consisting of four Co-inertia analyses and one Partial Triadic Analysis) to study the interactions among the indicators. The goal is to determine whether differences or similarities exist between these indicators within each region and to make a comparative assessment across countries. The study’s findings show the existing covariances between the various targets of the 2030 Agenda and indicate that in Europe, the gender dimension is more closely integrated with the other SDGs than in the other regions. In Africa, substantial variations between countries are observed, while Asia, Oceania, and the Americas face challenges in specific indicators and countries in terms of achieving sustainable development.

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Multi-way Analysis of the Gender Dimension of the Sustainable Development Goals

Medina-Hernández,

Fernández-Gómez

2024

Soc Indic Res

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Macroeconomic stability and social progress in the EU member states and Ukraine

Lyulyov

2018

amme

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The main purpose of the study is the role and influence of social factors on macroeconomic stability. The research is based on the hypothesis that countries with greater macroeconomic stability achieve greater social progress. The integrated index of human capital is proposed as a target for the construction of an appropriate system for monitoring social progress, and in the future – identifying the impact on macroeconomic stability. The main stages of estimating the integral index of human capital are: identification of relevant indicators that will form each of the sub-indices; filtering the selected indicators in the previous stage based on the analysis of the correlation matrix of each of the subindices; normalization of indicators in each of the subindices, calculation of the integral index for each of the subindices, calculation of the final integral index of human capital. The calculations of the integrated capital human capital index for some of the EU countries (Latvia, Lithuania, Poland, Croatia, Romania) and Ukraine for the period 2000–2015 allowed us to conclude that Romania and Ukraine were on a marginal level of social progress, while Lithuania, Poland and Croatia in the range of moderate level. The use of the OLS (the least squares) method to determine the significance of changes in social progress to macroeconomic stability has revealed a positive and statistically significant impact of social progress on macroeconomic stability.

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The volatility of bank stock prices and macroeconomic fundamentals in the Pakistani context: an application of GARCH and EGARCH models

Mohsin

Rehman

et al. 2020

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Research Background: The banking sector plays a crucial role in the world?s economic development. This research paper evaluates the volatility spillover, symmetric, and asymmetric effects between the macroeconomic fundamentals, i.e., market risks, interest rates, exchange rates, and bank stock returns, for the listed banks of Pakistan. Purpose of the article: The main purpose of this study is to examine the volatility of Pakistani banking stock returns due to the influence of market risk, interest rates, and exchange rates. Pakistan is selected for the study because the volatility of its banking stock returns is strongly influential in achieving sustainable economic development. Methods: By applying the OLS with the Heteroskedasticity and Autocorrelation Consistent (HAC) covariance matrix, the GARCH (1, 2), and the EGARCH (1, 1), analysis is conducted for the period from January 1, 2009 to December 31, 2019 using samples of 13 listed banks. Findings & Value added: The ARCH parameter is significant in the OLS with the HAC covariance matrix estimation, which is a clear indication of the existence of heteroskedasticity in the squared residuals and the inaccuracy of the OLS with the HAC covariance matrix. The results of the OLS with the HAC covariance matrix suggest using the GARCH model family to accurately measure the volatility of bank stock prices. The results of the mean equation in the GARCH (1, 2) and EGARCH (1, 1) indicate the positive significance of market risk and the low significance of interest and exchange rates, confirming that market returns strongly affect the sensitivity of bank stock returns compared to interest and exchange rates. It should be noted that the ARCH (?) and GARCH (?) parameters of the variance equation fulfill the non-negative conditions of the GARCH model. Furthermore, the leverage parameter (?) is found to be positively significant for all banks, and volatility is found to be influenced by positive shocks compared to negative shocks. Conclusively, it can be stated that market returns determine the dynamics of the conditional returns of bank stocks. Nevertheless, the interest and exchange rate volatilities determine the conditional bank stock returns? volatility.

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The Dynamics between Economic Growth and Living Standards in EU Countries: A STATICO Approach for the Period 2006-2014

Cited by 4 publications

References 10 publications

Multi-way Analysis of the Gender Dimension of the Sustainable Development Goals

Multi-way Analysis of the Gender Dimension of the Sustainable Development Goals

Macroeconomic stability and social progress in the EU member states and Ukraine

The volatility of bank stock prices and macroeconomic fundamentals in the Pakistani context: an application of GARCH and EGARCH models

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