2019
DOI: 10.1016/j.eap.2019.04.003
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One size does not fit all: Quantile regression estimates of cross-country risk of poverty in Europe

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Cited by 8 publications
(8 citation statements)
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“…With respect to the current poverty rate, we find that economic growth (GDP) is associated with decreases in poverty rates which refutes the findings of Caminada et al (2012), Duiella and Turrini (2014), Domonkos and Ostriho ň (2015), Bosco and Poggi (2020), but confirms the findings of Bosco (2019) and Cammeraat (2020). Also, the employment rate does not affect the current poverty rate, which is in line with the results of Cammeraat (2020).…”
Section: Conclusion and Discussionsupporting
confidence: 83%
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“…With respect to the current poverty rate, we find that economic growth (GDP) is associated with decreases in poverty rates which refutes the findings of Caminada et al (2012), Duiella and Turrini (2014), Domonkos and Ostriho ň (2015), Bosco and Poggi (2020), but confirms the findings of Bosco (2019) and Cammeraat (2020). Also, the employment rate does not affect the current poverty rate, which is in line with the results of Cammeraat (2020).…”
Section: Conclusion and Discussionsupporting
confidence: 83%
“…Also, the employment rate does not affect the current poverty rate, which is in line with the results of Cammeraat (2020). Moreover, social expenditure is associated with decreases in the current poverty rate as is also shown by Caminada et al (2012), Bosco andPoggi (2020), andCammeraat (2020).…”
Section: Conclusion and Discussionmentioning
confidence: 82%
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“…To understand the impact of poverty alleviation programs over time, many case studies and statistical models, including ordinary least squares (OLS) [60], PSM [59], and quantile regression [61], and linear programming methods, including analytic hierarchy process (AHP) [62] and data envelopment analysis (DEA) [63], have been applied. Given the challenges associated with quantifying causal relationships in complex socioecological systems, a small number of observational (nonexperimental) studies have employed causal inference to detect the causal effects of poverty alleviation programs [64,65].…”
Section: Role Of Cooperatives In Rural Development and Povertymentioning
confidence: 99%
“…The social orientation of these criteria is explained by the fact that the basis of stability and security in a transformational economy is the living conditions of the population, since all other areas of economic activity go through changes and cannot be characterized as stable. Moreover, the social sphere mostly dependent on the results of measures taken by the government, and its condition affects not only https: //doi.org/10.15405/epsbs.2020.03.44 Corresponding Author: N. U. Blinichkina Selection and peer-review under responsibility of the Organizing Committee of the conference eISSN: 2357-1330 305 other areas of the state's economic activity, but also the conditions and quality of life in neighboring states (Bosco, 2019).…”
Section: Resultsmentioning
confidence: 99%