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This article studies an asymptotic framework for conducting inference on parameters of the form ϕ(θ₀), where ϕ is a known directionally differentiable function and θ₀ is estimated by θ̂n . In these settings, the asymptotic distribution of the plug-in estimator ϕ(θ̂n ) can be derived employing existing extensions to the Delta method. We show, however, that (full) differentiability of ϕ is a necessary and sufficient condition for bootstrap consistency whenever the limiting distribution of θ̂n is Gaussian. An alternative resampling scheme is proposed that remains consistent when the bootstrap fails, and is shown to provide local size control under restrictions on the directional derivative of ϕ. These results enable us to reduce potentially challenging statistical problems to simple analytical calculations—a feature we illustrate by developing a test of whether an identified parameter belongs to a convex set. We highlight the empirical relevance of our results by conducting inference on the qualitative features of trends in (residual) wage inequality in the U.S.

The post-2008 recession and the countercyclical responses by European governments that followed triggered an extensive wave of fiscal adjustments. Although underpinned by widespread consensus, the implementation of such measures has also been severely criticised. While their effect on output and employment has been extensively investigated, their impact on wage inequality has received less attention. In this paper, we focus on the consequences of fiscal consolidation measures for gender inequality. After describing the literature-based conceptual framework of our analysis, we provide empirical evidence of the effect of fiscal consolidation on: (i) the adjusted gender wage gap, and (ii) the patterns of gender horizontal segregation. The analysis covers EU-28 countries in the years 2010–13. Results show that austerity measures (both tax-based and expenditure-based) impacted significantly on various aspects of gender wage inequality, putting at risk the relatively little progress achieved in Europe so far.

We provide new evidence on the growth in pay at the very top of the wage distribution in the United Kingdom. Sectoral decompositions show that workers in the financial sector have accounted for the majority of the gains at the top over the last decade. New results are also presented on the pay of CEOs in the United Kingdom. We show how improved measurement of pay points to a stronger pay-performance link than previously estimated. This link is stronger, and more symmetric, for those firms in which institutional investors play a larger role.

In this lecture, it is argued that Schumpeterian Growth Theory, in which growth is driven by a sequence of quality-improving innovations, can shed light on two important puzzles raised by the recent evolution of wage inequality in developed economies. The first puzzle concerns wage inequality between educational groups, which has substantially risen in the US and the UK during the past two decades following a sharp increase in the supply of educated labor. The second puzzle concerns wage inequality within educational groups, which accounts for a large fraction of the observed increase in wage inequality, although in contrast to between-group wage inequality it has mainly affected the temporary component of income.

We consider a small open developing economy with presence of both final and intermediate goods where we analyze the impact of liberalizing trade and capital flows on wage inequality when such policies are undertaken in a sequence. Our findings suggest that when skilled sector is capital intensive relative to the unskilled sector, wage gap always increases independent of the sequence of reforms, but the extent of such increase may vary according to the chosen sequence. However, when unskilled intensive sector is more capital intensive, the impact of these reforms on skilled-unskilled wage gap is ambiguous. Later we also demonstrate the robustness of our results to alternative assumptions on the structure of the model.

In recent decades, the wage gap between higher- and lower-skilled workers has steadily widened around the world, and this gap is widening. There are several approaches in the literature to understand the causes of this steady increase, with Skill-Biased Technological Change (SBTC) being the most used and the results more consistent. This paper aims to deepen the understanding of this wage gap among workers in Organisation for Economic Cooperation and Development (OECD) countries, using cluster analysis and then modeling through simultaneous equations for the period between 2007 and 2020. Albeit with varying intensity, we conclude that in all clusters, there is a strong influence of the wage gap of the less skilled on the widening of the wage gap of the more skilled, with this influence being even more intense in the case of women. The SBTC approach can also be detected in all clusters but with greater intensity in the case of countries that invest more in research and development (R&D). Education spending and gross domestic product (GDP) per capita also play a role in widening the wage gap as well as in reducing gender inequalities. We also conclude that each cluster has its specificities that justify the choice made and that a slow reduction in gender wage inequality is observed in all clusters.

Since the1800s, automation technologies have been interpreted as a source of displacement effects, largely conceptualised and empirically proved in a vast literature. This paper claims that, despite their non-manufacturing nature, metropolitan regions are not exempted by the negative effects of automation on wage inequalities across workers’ groups. The paper empirically proves this statement by analysing the effects on jobs and wage differentials among groups of workers associated with the diffusion of robot technologies in Italian NUTS3 regions in the period 2012–2019. Results show that automation technologies in the form of robotisation do displace jobs, harming particularly low-skilled workers in non-metropolitan manufacturing regions, where inter-group wage inequalities increase. However, through the creation of high-skilled jobs, also cities experience a rise of inter-group workers inequalities. These results call for appropriate policies to cope with the changing occupational profiles requested by the labour market.

This paper aims to clarify the relationship between monetary policy shocks and wage inequality. We emphasize the relevance of within- and between-wage-group inequalities in explaining total wage inequality in the USA. Relying on the quarterly data for the period 2000–2020, our analysis shows that racial disparities explain 12% of observed total wage inequality. Subsequently, we examine the role of monetary policy in wage inequality. We do not find compelling evidence that shows that monetary policy plays a role in exacerbating the racial wage gap. However, there is evidence that accommodative monetary policy plays a role in magnifying between-group wage inequalities but the impact occurs after 2008.

This paper analyses medium-term labour market trends from 1983 to 2018 in Italy relying on the “Rilevazione dei contratti di lavoro” from INPS archive which provides information on average salaries by professional category, age, gender, and geographical origin. Within an overall pattern of exacerbated wage inequalities, documented by means of different indicators, the empirical analysis highlights how the within-component of the wage variation prevails in the gender, age and geographical dimensions. By contrast, the between-component in terms of professional categories (trainees, blue-collar jobs, white-collar jobs, middle managers, executives) is the only between-variation attribute to prevail, corroborating the role played by a reduced class schema, excluding capitalists and the self-employed, in explaining wage inequality. Regression-based inequality estimations confirm the role played by managerial remuneration, the contradictory located class, in driving divergent patterns. Stratification of wage losses is recorded to be largely concentrated among blue-collar professional categories, women, youth, and in Southern regions.

Of the various approaches that, over the last few decades, have sought explanations for the constant increase in the wage gap between more and less skilled workers, the Skill-Biased Technological Change (SBTC) approach has been the most used and the one that has led to the most consistent results. The objective of this study is to assess whether the possible mobility between different types of workers, considering their experience and professional training, and this way, replacing more skilled workers in terms of education widens or reduces the wage gap between qualifications. For this purpose, we resorted to the modeling of simultaneous equations taking into account the OECD countries between 2007 and 2020, concluding that there is a strong influence of the wage gaps of the less qualified in the widening of the gaps of the more qualified and that this influence is more significant in the case of women. Education continues to promote the increase in wage differences in favor of the most qualified, as well as the SBTC approach. We also conclude that women’s wage gaps are approaching the average of most workers, thus reducing wage inequality between genders.