1,720,992 research outputs found
A matrix approach to the Gini index decomposition by subgroup and by income source
No full textThe literature offers two main ways of decomposing the Gini index: decomposition by population subgroup and by income source. This paper proposes merging the two decomposition dimensions by suggesting a matrix formula for the Gini index which permits the simultaneous decomposition by subgroup and by income source. Using this multi-decomposition, one can investigate the role of the interaction between the subgroup and the source components in determining the overall inequality
On the link between Silber and Dagum decompositions of the Gini index
No full textThe article combines two alternative procedures for decomposing the Gini index: the Silber matrix approach and the Dagum technique based on Gini mean difference
Decomposing Inequality Change from the Perspective of Reranking and Income Growth between Income Groups
No full textThis paper proposes a decomposition of the change in inequality from the perspective of income groups. For every dichotomisation of the income distribution into poorer and richer parts, the decomposition allows to detect the changes in the relative income gap between the two parts and the reranking between poorer and richer individuals. This decomposition approach is particularly suitable when analysts split the population between individuals initially below the poverty line and those above the poverty line, since the decomposition allows to capture the effects of reranking and disproportional growth in income between poor and non-poor individuals and to compare these effects with those detected for the entire population. An application to Italian income data illustrates the proposed decomposition
A subgroup decomposition of the inequality change over time
No full textThe paper proposes a subgroup decomposition of the determinants of the change in the Gini index over time. The decomposition allows to explain the link between inequality change, re-ranking, and income growth for the various subgroup components of the inequality index
An income mobility measure based on Zenga’s inequality index
No full textThis paper proposes a new measure of income mobility in the form of re-ranking which occurs in the move from an initial income distribution to a final income distribution. The re-ranking measure is based on Zenga’s new index and concentration curve. The measure summarizing the overall re-ranking is expressed as the average of various point re-ranking measures calculated across the income distribution
Decomposing Changes in Inequality and Welfare Between EU Regions: The Roles of Population Change, Re-Ranking and Income Growth
No full textThis paper explores the changes in inequality and welfare between EU regions at the NUTS 3 level over the 2003–2011 period. Changes in absolute and relative inequalities are broken down into components explaining the effects of population change, re-ranking of regions and income growth between regional per capita incomes. Each component of inequality change is further decomposed by subgroup, revealing the contributions arising from changes within subgroups and from changes between subgroups. The decomposition of the change in absolute inequality is used to develop a decomposition of the change in welfare between EU regions
On decomposing inequality and poverty changes over time: A multi-dimensional decomposition
No full textThe paper proposes a multi-dimensional approach for decomposing changes in the Gini inequality index and the Sen-Shorrocks-Thon poverty index over time. The link among inequality trend, re-ranking of individuals and individuals’ income growth is explained by isolating source and subgroup contributions to the determinants of inequality change over time. We show that the poverty change over time depends on re-ranking of individuals and change in relative disparities between individuals’ poverty gaps. The determinants of change in poverty inequality are then decomposed by source and subgroup, yielding a three-way decomposition which merges time, source and subgroup dimensions of decomposition
ON MEASURING INCOME POLARIZATION: AN APPROACH BASED ON REGRESSION TREES
Full text linkThis article proposes the application of regression trees for analysing income polarization. Using an approach to polarization based on the analysis of variance, we show that regression trees can uncover groups of homogeneous income receivers in a data-driven way. The regression tree can deal with nonlinear relationships between income and the characteristics of income receivers, and it can detect which characteristics and their interactions actually play a role in explaining income polarization. For these features, the regression tree is a flexible statistical tool to explore whether income receivers concentrate around local poles. An application to Italian individual income data shows an interesting partition of income receivers
L’integrazione di dati amministrativi e campionari per arricchire i sistemi informativi di marketing nel farmaceutico: evidenze empiriche legate al record linkage
No full textThis paper proposes an empirical comparison between probabilistic record linkage and deterministic record linkage. We use both procedures for combining two diverse sources of data, an administrative archive and a sample survey, for a situation in which the true status of each pair of linked records is known. The sample survey provides information on Italian doctor prescribing behaviour in 2007; the administrative archive provides personal and professional data for the population of Italian doctors in 2007. Match rates and error rates for the two procedures are compared and discussed in order to make suggestions on when their use is appropriate. The record linkage aims at enriching the information separately stored in the two data sources
Measuring bipolarization in labour productivity in Italy: a new index and its decomposition by sectors and regional factors
No full textThis paper explores bipolarization in labour productivity among Italian regions. An index to measure bipolarization in labour productivity distribution is suggested. The index can be decomposed by sectors, explaining the contribution of each sector to bipolarization. From this sectoral decomposition, a further decomposition based on a reformulation of shift-share analysis is obtained. This shift-share decomposition captures the effects of regional factors on bipolarization since the roles played by the disparities in sectoral labour productivities, industry-mix and allocation of workers across sectors are explained. The index and its decompositions are used to measure the bipolarization in the aggregate labour productivity distribution across Italian regions over the 2000-2011 period. Our findings show that bipolarization is not particularly high and is mainly attributable to the disparities in sectoral labour productivities between regions
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