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Workplace Abuse and Harassment: The Vulnerability of Informal and Migrant Domestic Workers in Portugal

Published online by Cambridge University Press:  13 December 2016

Maria da Conceição Figueiredo
Affiliation:
Instituto Universitário de Lisboa (ISCTE-IUL), BRU-IUL, Lisboa, Portugal E-mail: Conceicao.Figueiredo@iscte.pt
Fátima Suleman
Affiliation:
Instituto Universitário de Lisboa (ISCTE-IUL), DINÂMIA'CET-IUL, Lisboa, Portugal E-mail: Fatima.Suleman@iscte.pt
Maria do Carmo Botelho
Affiliation:
Instituto Universitário de Lisboa (ISCTE-IUL), CIES-IUL, Lisboa, Portugal E-mail: Maria.Botelho@iscte.pt
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Abstract

Policy makers and researchers are alarmed by the pervasive substandard working conditions and mistreatment in domestic work worldwide. Using an original dataset from a sample of domestic workers in Portugal (n = 684), our study explores types of abuse and harassment and tries to unveil the potential factors affecting the likelihood of having been a victim. Empirical evidence pointed to three segments of domestic workers: victims of labour abuses related to contract and wages, victims of multiple abuses including mistreatment and also psychological and sexual harassment, and a segment with no occurrence of abuse. Informal workers are more often victims of labour abuses, while migrants, especially Brazilian women, are more likely to report all types of abuse and harassment. On the other hand, carers of the elderly often suffered multiple abuses. The results suggest that despite the prevalence of labour abuses in Portugal, the most severe abuses are uncommon.

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Articles
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Copyright © Cambridge University Press 2016 
Figure 0

Table 1 Frequency distributions of characteristics of domestic workers*

Figure 1

Figure 1. Spatial distribution of the risk of abuse

Figure 2

Table 2 Types of abuse suffered by domestic workers

Figure 3

Table 3 The predictors of abuse in domestic work

Figure 4

Table 4 Marginal effects from multinomial logistic regression model (significant estimates)

Figure 5

Table 1A The self-perception of relevant skills: principal component analysis

Figure 6

Table 2A Clusters of abuses