The labour market and the distribution of earnings: an empirical analysis for Italy
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Citations
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References
An introduction to the bootstrap
Power-Law Distributions in Empirical Data
Income Inequality in the United States, 1913–1998
A Simple General Approach to Inference About the Tail of a Distribution
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Frequently Asked Questions (16)
Q2. What could contribute to reducing the level of inequality?
36More in general, minimum wage protection policies, purchasing power preservation systems, as well as the adoption of contrast measures for preventing various discrimination and irregular practices could contribute to reducing earnings differences.
Q3. Why are the absolute values sum up both vertically and horizontally?
Because of the additive property of equation (4), the absolute values sum up both vertically and horizontally; the percent values are calculated with respect to total inequality (‘Source dec.’) as well as ‘Within’ and ‘Between’ components.
Q4. What is the main reason for the large adoption of such labour relationships?
The large adoption (abuse) of such labour relationships benefited of their more profitable compulsory pension contributions with respect to both standard and fixed-term employment.
Q5. How much inequality has the within-group component increased in the last decade?
The within-group component of labour income inequality increased from more than 49% in 2005 to around 57% in 2008, while it reduced in 2010.
Q6. What is the main argument for the reduction in the contribution of labour productivity to GDP growth?
In addition, as maintained by Codogno (2009), since the mid-1990s – and especially in the early 2000s – the reduction in the contribution of labour productivity to GDP growth more than offset the positive contribution of labour utilisation, hence resulting in weak overall GDP growth.
Q7. What is the reason for the inclusion of the Theil index in the inequality analysis?
Despite the Gini-based multi-decomposition of inequality proposed by Mussard (2004, 2006), the choice of the Theil index as the reference measure of inequality is motivated by two main reasons: (i) it allows perfect (subgroups) decomposability22and (ii) satisfies the fundamental property of uniform addition for source-based decomposition.
Q8. How does the standard decomposition by income sources show the fundamental role played by the selfemployed?
The standard decomposition by income sources highlights the fundamental role played by the selfemployed in shaping total income inequality, even though their relative impact decreased steadily from 112% to less than 68%.
Q9. What was the main reason for the decline in unemployment in Italy?
Since the mid-1990s, and at least up to the onset of the current economic crisis, labour market outcomes improved substantially in Italy.
Q10. What is the importance of executive compensations to explain the International Review of Applied Economics?
The importance of executive compensations to explain theInternational Review of Applied Economics 17D ownl oade dby [Fa bio Cle men ti]a t 07: 551 0O ctob er2 013rise in top income shares during the last quarter of the twentieth century has been a standard result in all the studies analysing income concentration within the top groups in Anglo-Saxon countries.
Q11. What is the main reason for the rise in the income share of the top earners?
A tentative explanation explored by Piketty and Saez (2003, 2006) but see also Lemieux 2008 and Lemieux et al. 2009) is that the growth in performance-related schemes – which affect the compensation of high executives – and the change in social norms – regarding inequality and the acceptability of very high wages – have removed some implicit barriers to the rise of incomes for the very highest earners.
Q12. how do the authors compute the goodness-of-fit statistic?
for each possible xmin the authors first obtain the estimate of the shape parameter a over the data x xmin by using the conditional maximum likelihood estimator introduced by Hill (1975)âH ¼ 1m Xm 1 i¼1ðln xn iþ1 ln xn mþ1Þ " # 1(2)where m ¼ n k þ 1 is the number of extreme sample values above the threshold, n is the sample size and k is the rank of the order statistic xn–m+1, and then the authors compute the Kolmogorov-Smirnov (K-S) goodness-of-fit statisticD ¼ maxx xmin jF̂ðxÞ
Q13. Who is grateful for the help with the GAUSS code?
The authors are also grateful to Stéphane Mussard for help with his GAUSS code on the Gini multi-decomposition by population subgroups and income sources.
Q14. How large was the smallest t-ratio for a?
All t-ratios were indeed significant at the 0.1% level and relatively large – for example, the smallest t-ratio for any estimate of xmin was slightly less than 4 and was typically at least seven times larger for a.
Q15. What reforms were aimed at increasing the employment rate?
ownl oade dby [Fa bio Cle men ti]a t 07: 551 0O ctob er2 013use – and several labour market reforms aimed to increase the employment rate by means of expansion in labour market flexibility.
Q16. What is the average number of observations in the upper tail?
Sst atis tic(D )Dmin = 0.074 k∗ = 15,505Number of observations in the upper tail (m)0 6α̂H ∗ = 1.916m∗ = 1,083 C om pl em en ta ry c um ul at iv e di st rib ut io n100 1000 10000 100000 10000000.