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The purpose of this paper is to provide evidence of the effect of labour market status on the current probability to be invited to a hiring interview. The authors compare the effect of periods of unemployment, part-time job and short-term contracts (STCs).

Correspondence tests were conducted for accountants and sales assistants. The authors estimate the discrimination components from the response rate of each candidate by the asymptotic least squares method.

The authors find that men with a part-time profile suffer discrimination in both professions. Other differences of treatment are specific: for accountants, the authors find that the probability of success decreases with the time spent in unemployment, while for sales assistants the probability of success is smaller with a history of STCs.

This study compares the effect of different dimensions of career history (part-time versus full-time, permanent versus short-term, unemployment versus employment) for experienced job candidates. It also proposes an alternative way to exploit the design of a correspondence experiment.

Mentioning car and motorcycle licences on a resume sends a signal of strong mobility, which should increase the chances of getting a job in congested traffic areas. The purpose of this paper is to examine whether this is the case for both women and men.

The authors implement an experimental design in order to test for the existence of gender discrimination. The authors use the first-order stochastic dominance (FOSD) criterion and estimate components models.

The authors find that holding a motorcycle licence leads to a counterproductive selection of female candidates, since the highest commuting mobility meets the lowest hiring rate.

The methodology developed in the paper can be used for all correspondence test data.

The authors examine effects that have not been observed thus far in the literature, namely, the effects of gender crossed with the effects of the class of driving licence that is mentioned on the resume. The authors also advocate the use of the FOSD criterion to discrimination studies.

The purpose of this paper is to study the association between firm size and hiring discrimination against women, ethnic minorities and older job candidates.

The authors merge field experimental measures on unequal treatment with firm-level data. The resulting data enable the authors to assess whether discrimination varies by indicators of firm size, keeping other firm characteristics constant.

In contrast with the theoretical expectations, the authors find no evidence for an association between firm size and hiring discrimination. On the other hand, the authors do find suggestive evidence for hiring discrimination being lower in respect of public or non-profit firms (compared to commercial firms).

To effectively combat hiring discrimination, one needs to understand its driving factors. In other words, to design adequate policy actions, targeted to the right employers in the right way, one has to gain insight into when individuals are discriminated in particular, i.e. into the moderators of labour market discrimination. In this study, the authors focus on firm size as a moderator of hiring discrimination.

Former contributions investigated this association within the context of ethnic discrimination only and included hardly any controls for other firm-level drivers of discrimination. The authors are the first to study the heterogeneity in discrimination by firm size with respect to multiple discrimination grounds and control for additional firm characteristics.

The main goal of this paper is to study the specific characteristics of the performance of companies in the metallurgical sector, in the northern region of Portugal.

To achieve this aim, the authors have used data from 325 companies manufacturing metal products, except machinery and equipment (CAE Rev.3 25) and 27 companies that manufacture machinery and equipment (CAE Rev. 3 28). The models were estimated by using the panel data methodology for the period between 2011 and 2019. Specifically, the estimation method of the generalized method of moments system (GMM system) proposed by Arellano and Bover (1995) and Blundell and Bond (1998) was used.

The results show that the main decisions on the performance of metallurgical companies in Northern Portugal depend on the dimensions of sales in the domestic market (SDM), sales in the community market (SCM), and sales in the foreign market (SFM) and also highlight that the signal and significance of the specific variables depends on how the different stakeholders understand performance.

As far as the authors know, this is the first study to comparatively analyze the two metallurgical databases in Portugal. Despite the huge difference in the size of the sample, this study’s results show that in an era of paradigm shift about what business objectives should be, stakeholders are still not environmentally aware and the social dimension is only considered by shareholders, but not yet by the manager and the general community.