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International Organization for Migration (IOM)

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Allasino, Reyneri, Venturini, and Zincone, (2004) conducted the only study of this<br />

kind in the Italian context. Focusing on three major Italian cities (Turin, Rome<br />

and Naples), they used actors of Italian and Moroccan nationality to apply <strong>for</strong> jobs<br />

and tested the level of discrimination at three stages: 1) application: whether the<br />

employer accepts to evaluate the candidate’s application; 2) job interview: whether<br />

the candidate is invited to an interview; 3) job offer: whether the candidate is<br />

offered the job. They find a fairly impressive 41 per cent rate of (net) cumulative<br />

discrimination. This figure implies that in more than 40 per cent of the valid cases<br />

they consider (that is, applications <strong>for</strong> the same job made by a native and a Moroccan<br />

candidate) the Moroccan candidate is discriminated against at one of the three stages<br />

and, there<strong>for</strong>e, eliminated from the selection process. They find that the degree<br />

of discrimination is strongest at the first stage of the selection process and then<br />

decreases in the following two. They also find a lower rate of discrimination “among<br />

medium to large companies, whose more standardized procedures should to some<br />

extent prevent <strong>for</strong>eign applicants from being rejected at the first contact.” ((Allasino<br />

et al., 2004: 54).<br />

Economists distinguish between preference discrimination and statistical<br />

discrimination. In the first case, discrimination is based on preferences: employers<br />

who distrust or do not like a particular ethnic/national group will systematically<br />

refuse to hire a member of that group (or will pay him/her a lower salary than<br />

comparable workers of other ethnic/national groups). This is essentially an expression<br />

of racism and xenophobia. Statistical discrimination, instead, may take place even<br />

if the employers are not racist at all, but if they face some important in<strong>for</strong>mation<br />

asymmetries. For instance, if they cannot fully assess the quality of an immigrant<br />

worker – because they are not fully able to evaluate his/her <strong>for</strong>eign qualifications,<br />

his/her experience gained abroad, and so on – they may simply assume that he/<br />

she must be as good as the average member of his/her ethnic/national group. This<br />

implies that a high quality worker who belongs to a group with a poor reputation will<br />

find it harder to get a job. If immigrants, or specific groups of immigrants, have a<br />

bad reputation (with respect to natives) one can observe discrimination in the labour<br />

market even if the employers are not necessarily showing racist attitudes.<br />

Devising public interventions to reduce discrimination driven by a lack of in<strong>for</strong>mation<br />

implies thinking about ways to improve the level – and quality – of in<strong>for</strong>mation that<br />

employers have about immigrant candidates (recognizing <strong>for</strong>eign qualifications and<br />

skills; providing correct in<strong>for</strong>mation on the labour market outcomes of groups that<br />

are erroneously considered as low per<strong>for</strong>mers, and so <strong>for</strong>th). Addressing preference<br />

discrimination, on the other hand, requires an effective intervention on racist<br />

attitudes and xenophobic behaviour.<br />

2.2. Supply side: migrants’ perspective<br />

The channels used to find jobs <strong>for</strong> immigrant workers in Italy can be “distributed<br />

along a continuum which goes from the maximum degree of in<strong>for</strong>mality – that is,<br />

personal contacts – to the maximum degree of <strong>for</strong>mality – represented by the Public<br />

country studIes – ITALY<br />

101

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