Francesco Bloise, Maurizio Franzini and Michele Raitano
The authors analyse how the association between parental background and adult children's earnings changes when net rather than gross children's earnings are considered and…
Abstract
Purpose
The authors analyse how the association between parental background and adult children's earnings changes when net rather than gross children's earnings are considered and disentangle what such changes depend on: differences between pre and after taxes earnings inequality or reranking of individuals along the earnings distribution before and after taxes.
Design/methodology/approach
Using data from European Union Statistics on Income and Living Conditions (EU-SILC) 2011, the authors focus on two large European countries, Italy and Poland, with comparable levels of inequality and background-related earnings premia but very different personal income tax (PIT) design and estimate – at both the mean and the deciles of the earnings distribution – the association between parents' characteristics and children's gross and net earnings.
Findings
The authors find that in Italy the PIT reduces the magnitude of the association between parental background and adult children's earnings at the top of the distribution, while no effects emerge for Poland, and the reduction is mostly due to a decrease in earnings inequality rather than to a re-ranking of children along the distribution. The findings are confirmed when the authors simulate the introduction of a “quasi flat tax” regime in Italy.
Social implications
The findings suggest that the higher the tax progressivity, the higher the background-related inequality reduction and the lower the intergenerational association, signalling that the degree of progressivity amongst children may be an effective weapon to reduce intergenerational inequality.
Originality/value
In the literature on intergenerational inequality, the role of taxes is usually overlooked. In this paper, the authors try to fill this gap and enquire how the PIT design affects the association between parental background and adult children's earnings.
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Keywords
Giuseppe Lucio Gaeta, Giuseppe Lubrano Lavadera and Francesco Pastore
The wage effect of job–education vertical mismatch (i.e. overeducation) has only recently been investigated in the case of Ph.D. holders. The existing contributions rely on…
Abstract
Purpose
The wage effect of job–education vertical mismatch (i.e. overeducation) has only recently been investigated in the case of Ph.D. holders. The existing contributions rely on ordinary least squares (OLS) estimates that allow measuring the average effect of being mismatched at the mean of the conditional wage distribution.
Design/methodology/approach
The authors implement a recentered influence function (RIF) to estimate the overeducation gap along the entire hourly wage distribution and compare Ph.D. holders who are overeducated with those who are not on a specific sample of Ph.D. holders in different fields of study and European Research Council (ERC) categories. Moreover, the authors compare the overeducation gap between graduates working in the academic and non-academic sector.
Findings
The results reveal that overeducation hits the wages of those Ph.D. holders who are employed in the academic sector and in non-research and development (R&D) jobs outside of the academic sector, while no penalty exists among those who carry out R&D activities outside the academia. The size of the penalty is higher among those who are in the mid-top of the wage distribution and hold a Social Science and Humanities specialization.
Practical implications
Two policies could reduce the probability of overeducation: (a) a reallocation of Ph.D. grants from low to high demand fields of study and (b) the diffusion of industrial over academic Ph.Ds.
Originality/value
This paper observes the heterogeneity of the overeducation penalty along the wage distribution and according to Ph.D. holders' study field and sector of employment (academic/non-academic).
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Abdul Wahab Hashmi, Harlal Singh Mali and Anoj Meena
The purpose of this paper is to study the functionality of additively manufactured (AM) parts, mainly depending on their dimensional accuracy and surface finish. However, the…
Abstract
Purpose
The purpose of this paper is to study the functionality of additively manufactured (AM) parts, mainly depending on their dimensional accuracy and surface finish. However, the products manufactured using AM usually suffer from defects like roughness or uneven surfaces. This paper discusses the various surface quality improvement techniques, including how to reduce surface defects, surface roughness and dimensional accuracy of AM parts.
Design/methodology/approach
There are many different types of popular AM methods. Unfortunately, these AM methods are susceptible to different kinds of surface defects in the product. As a result, pre- and postprocessing efforts and control of various AM process parameters are needed to improve the surface quality and reduce surface roughness.
Findings
In this paper, the various surface quality improvement methods are categorized based on the type of materials, working principles of AM and types of finishing processes. They have been divided into chemical, thermal, mechanical and hybrid-based categories.
Research limitations/implications
The review has evaluated the possibility of various surface finishing methods for enhancing the surface quality of AM parts. It has also discussed the research perspective of these methods for surface finishing of AM parts at micro- to nanolevel surface roughness and better dimensional accuracy.
Originality/value
This paper represents a comprehensive review of surface quality improvement methods for both metals and polymer-based AM parts.