2018
DOI: 10.2478/cejpp-2018-0001
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Assessing the performance of social spending in Europe

Abstract: Based on the construction of a composite index to assess the relative performance of welfare policies, we show that the variability of performances cannot be explained only by the amount of resources devoted to social policies, but also by its composition: countries with higher shares of social public expenditure, specifically aimed at reducing income concentration, obtain better results. This associates the traditional classification of the European welfare systems to the performance obtained in the social se… Show more

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Cited by 8 publications
(2 citation statements)
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“…Results are reported in Table A2. The variable g, that is, the social services level, is represented by a composite indicator of the outcomes of social policies in the 22 countries under consideration, the social protection performance index, SPPI, as derived in Antonelli and De Bonis (2017, 2018. The index summarises the outcome indicators for seven sectors of social protection expenditure: family, health, labour market, elderly, disabled, unemployment, inequality.…”
Section: The Regression Equation Ismentioning
confidence: 99%
“…Results are reported in Table A2. The variable g, that is, the social services level, is represented by a composite indicator of the outcomes of social policies in the 22 countries under consideration, the social protection performance index, SPPI, as derived in Antonelli and De Bonis (2017, 2018. The index summarises the outcome indicators for seven sectors of social protection expenditure: family, health, labour market, elderly, disabled, unemployment, inequality.…”
Section: The Regression Equation Ismentioning
confidence: 99%
“…Empirical studies are mainly done to measure the public spending efficiency in cross-country set-up (Adam et al, 2018; Afonso & Kazemi 2016; Antonelli & Bonis 2018b; Dutu & Sicari 2017; Gouardo & Lenglart 2018) and more concentrated in developed countries. Looking at the single country prospect, works are very limited (Bronchi, 2003; Masca, 2014) and most of the studies followed Data Envelopment Analysis (DEA) technique to estimate the PSE scores.…”
Section: Introductionmentioning
confidence: 99%