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The aim of this chapter is to shed some light on the behavior of Income Inequality and Inequality of Opportunity over time for 26 European countries. The analysis is carried out using microdata collected by the European Union Statistics on Income and Living Conditions (EU-SILC), which incorporates a wide variety of personal harmonized variables, allowing comparability between countries. The availability of this database for years 2004 and 2010 is particularly relevant to assess changes over time in the main inequality indices and the contribution of circumstances to inequality of opportunity. Furthermore, a bootstrap estimation is performed with the aim of testing whether the differences between both years are statistically significant.

We investigate the reasons why income inequality is so high in Spain in the EU context. We first show that the differential in inequality with Germany and other countries is driven by inequality among households who participate in the labor market. Then, we conduct an analysis of different household income aggregates. We also decompose the inter-country gap in inequality into characteristics and coefficients effects using regressions of the Recentered Influence Function for the Gini index. Our results show that the higher inequality observed in Spain is largely associated with lower employment rates, higher incidence of self-employment, lower attained education, as well as the recent increase in the immigration of economically active households. However, the prevalence of extended families in Spain contributes to reducing inequality by diversifying income sources, with retirement pensions playing an important role. Finally, by comparing the situations in 2008 and 2012, we separate the direct effects of the Great Recession on employment and unemployment benefits, from other more permanent factors (such as the weak redistributive effect of taxes and family or housing allowances, or the roles of education and the extended family).

Personnel economics tends be based on single-firm case studies. Here, we examine several internal labor market dimensions of nearly 5,000 firms, over a period of 20 years, using detailed matched employer–employee data from Portugal. In the spirit of Baker, Gibbs, and Holmstrom (1994a, 1994b), we consider worker turnover, the role of job levels and human capital as wage determinants, wage dispersion within job levels, the importance of tenure in promotions and exits, and the scope for careers. We find a large degree of diversity in most of these personnel dimensions across firms. Moreover, some dimensions are shown to be robust predictors of firm performance, even after controlling for time-invariant firm heterogeneity and other variables. These dimensions include low worker churning, the importance of careers, low wage dispersion at low and intermediate job levels, and a tight relationship between human capital variables and wages.

To assess: (1) the prevalence of specific work practices that incorporate use of information and communication technology (ICT), (2) whether these practices are connected to employee distress or productivity via work extension or social network processes; (3) the implications of ICT-based work practices for the work/family interface.

We draw on the 2008 Pew Networked Workers data collected from a nationally representative sample of workers and use logistic regression methods to investigate links among use of specific ICT-based practices and increases in distress or productivity.

(1) Use of e-mail, instant messaging, texts, and social networking sites at work varies by demographic, organization, and job characteristics, and (2) ICT-based work extension, social network expansion, and connectivity to work colleagues are linked to increases in distress and productivity. Connecting with family or friends while at work can reduce the likelihood that an employee reports an increase in work stress.

Limitations include a cross-sectional design, age of the data, missing data, and measurement issues. Even with these limitations, there are few investigations drawing from national samples of employees that can assess work-related ICT use with this level of depth.

Findings point to technological innovation as an important factor influencing work extension and social network processes and connect this to changes in employee distress and productivity. The focus on productivity is especially important given the emphasis that previous research has placed on linking ICT use and employee distress.

This paper contributes to the literature on overeducation by empirically investigating the wage penalty of job–education mismatch among PhD holders who completed their studies in Italy; a country where the number of new doctoral recipients has dramatically increased over recent years while personnel employed in R&D activities is still below the European average. We use cross-sectional micro-data collected in 2009 and rely on different definitions of education–job mismatch such as, overeducation, overskilling, and dissatisfaction with the use of skills. We find that overeducation and skills dissatisfaction are associated with significantly lower wages but there is no wage penalty from overskilling. Furthermore, those who simultaneously report overeducation and skills dissatisfaction experience a particularly high wage penalty.

This study examines how creditor interventions after debt covenant violations affect corporate tax avoidance. Using a regression discontinuity design, we find that creditor interventions increase borrowers' tax avoidance. This effect is concentrated among firms with weaker shareholder governance before creditor interventions and among those with less bargaining power during subsequent debt renegotiations. Our results indicate that creditors play an active role in shaping corporate tax policy outside of bankruptcy.

Efficiency wage theory predicts that firms can induce worker effort by the carrot of high wages and/or the stick of monitoring worker performance. Another option available to firms is to tilt the remuneration package over time such that the lure of high future earnings acts as a deterrent to current shirking. On the assumption that firms strive for the optimal trade-off between these various instruments, we develop a two-period model of efficiency wages in which increased monitoring attenuates the gradient of the wage-tenure profile. Our empirical analysis, using two cross sections of matched employer-employee British data, provides robust support for this prediction.

This chapter examines the impact of education on income inequality in 18 Latin American countries between 2000 and 2010. This period has raised interest in the academic community because inequality has fallen across the region, after several years of consistent high levels. Employing the novel technique proposed by Firpo, Fortin, and Lemieux (2007), the author’s research provides a detailed decomposition of inequality. Three main findings emerge from the author’s results: First, the expansion of education increases inequality in six countries but reduces inequality in four countries. Second, the changes in returns to education are the driving component of the effects of education on inequality. Those countries where education contributes to a fall in inequality are those where the returns to education fell at the top of the income distribution. Third, the rise in the average years of education, considered alone, had an inequality-increasing effect in most of the countries under analysis.

Data from the 1984 Survey of Income and Program Participation are linked to longitudinal records from the Social Security Administration to examine the relationship between the long-term unemployment that prime-aged (ages 25–55) male workers experienced around the time of the 1980–1982 twin recessions with earnings, receipt of either Disability Insurance or Supplemental Security Income (DI-SSI) benefits, and mortality. Separate estimations are made for those who voluntarily and involuntarily left employment and the combined sample of these two groups. We find that 20 years later, long-term joblessness was associated with significantly lower earnings and higher likelihoods of the receipt of DI-SSI benefits as well as mortality.