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Do anti-discrimination policies work? Updated

Legal safeguards, employer accountability, evidence-based HR practices, and policies that empower at-risk groups are all needed

Marie-Anne Valfort

Paris School of Economics, France, and IZA@LISER, Luxembourg

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Relevanz des Themas

Labour market discrimination is widespread and raises ethical, societal, and efficiency concerns. It not only results in the unfair treatment of individuals with comparable skills, but also imposes broader costs on society by eroding trust and weakening cohesion. Moreover, discrimination limits the full potential of the working-age population by excluding talent or trapping people in roles below their abilities. These effects are amplified by feedback loops: fewer opportunities lower labour market participation and productivity, while the harm discrimination inflicts on mental and physical health further reduces economic output.

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Wichtige Resultate

Pro

A legal ban on discrimination against at-risk groups is the bedrock of any anti-discrimination framework.

Monitoring employers’ hiring and career management practices is essential to enforce anti-discrimination laws.

Employers should adopt hiring and career management practices that limit statistical discrimination and the role of (un)conscious bias.

Additional policies addressing pre-existing factors that may constrain the productivity of some groups are key to reduce statistical discrimination.

Some affirmative action policies improve labour market outcomes for beneficiary groups.

Contra

Enforcing anti-discrimination laws remains an issue, especially at the hiring stage.

Collecting the necessary data to enable monitoring is a challenge.

HR practices, including the responsible use of AI, must be grounded in rigorous impact evaluation and continuous auditing.

When productivity constraints among some groups stem from the discrimination they face, breaking the resulting vicious circle is non-trivial.

Besides challenging the principle of equality before the law, affirmative action policies may reinforce discrimination against their intended beneficiaries.

Kernbotschaft des Autors

To combat labour market discrimination, governments should adopt a multi-pronged strategy. In addition to passing anti-discrimination laws, they should invest in data collection to monitor employers’ hiring and career management practices, and thus create incentives for change among discriminatory employers. Yet incentives alone are not enough. Employers must also be equipped with evidence on what works to reduce statistical discrimination and prevent (un)conscious bias from influencing recruitment and career management decisions, including through the responsible use of AI. Statistical discrimination can be further addressed through policies that mitigate concerns about potential productivity constraints affecting certain groups. Meanwhile, affirmative action policies should be approached with caution, as they may inadvertently reinforce the very drivers of discrimination they seek to dismantle.

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