Unexplored dimensions of discrimination in Europe: homosexuality and physical appearance

Patacchini, Eleonora; Ragusa, Giuseppe; Zénou, Yves

doi:10.1007/s00148-014-0533-9

Cited by 96 publications

(78 citation statements)

References 44 publications

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“…Rooth, 2009;Ruffle and Shtudiner, 2014) or sexual orientation (e.g. Patacchini et al, 2015). Our data also suggest that disabled individuals may face more severe discrimination than what has been previously reported (i.e.…”

Section: Callback Ratessupporting

confidence: 66%

Physical Disability and Labor Market Discrimination: Evidence From a Field Experiment

et al. 2017

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. We investigate the determinants and extent of labor market discrimination toward people with physical disabilities using a large scale field experiment. Applications were randomly sent to 1477 private firms advertising open positions. We find that average callback rates of disabled and non-disabled applicants are respectively 14.4% and 7.2%. We find this differential does not result from accessibility constraints related to firm infrastructures. We also find that mentioning eligibility to a government subsidy to cover the cost of workplace adaptation does not increase callback rates. Finally, we estimate that a lower bound of the proportion of discriminating firms is 49.7%. JEL-Codes: J710, J680. Terms of use: Documents in

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Section: Callback Ratessupporting

confidence: 66%

Physical Disability and Labor Market Discrimination: Evidence From a Field Experiment

et al. 2017

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“…To measure the volunteering premium in employment opportunities, we built on the correspondence experimentation framework of Bertrand and Mullainathan (2004), which has been recently used and calibrated by Kroft et al (2013), Eriksson and Rooth (2014), Patacchini et al (2015) and Baert et al (2016c), among others. Within this type of experiment, pairs of fictitious job applications are sent to real job openings.…”

Section: The Experimentsmentioning

confidence: 99%

Does it pay to care? Volunteering and employment opportunities

Baert

Vujić

2017

J Popul Econ

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We investigate whether volunteering has a causal effect on individual employment opportunities. To this end, a field experiment is conducted in which volunteering activities are randomly assigned to fictitious job applications sent to genuine vacancies in Belgium. We find that volunteers are 7.3 percentage points more likely to get a positive reaction to their job applications. The volunteering premium is higher for females but invariant with respect to the number of engagements.

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“…They use the same data as . Other grounds of discrimination covered by correspondence-testing in job applications include sex (Riach and Rich, 2006;, obesity and physical appearance (Rooth, 2009;Bóo et al, 2012), sexual orientation (Drydakis, 2009), ethnicity (McGinnity et al, 2009Carlsson and Eriksson, 2012), or a combination of these (Patacchini et al, 2012). For grounds not related to the name of an applicant (e.g., obesity or sexual orientation), the authors add a manipulated portrait photo to the fake CV or an explicit reference to well-known homosexual communities.…”

Section: Annotated Bibliographymentioning

confidence: 99%

A multidisciplinary survey on discrimination analysis

Romei

Ruggieri

2013

The Knowledge Engineering Review

230

173

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The collection and analysis of observational and experimental data represent the main tools for assessing the presence, the extent, the nature, and the trend of discrimination phenomena. Data analysis techniques have been proposed in the last fifty years in the economic, legal, statistical, and, recently, in the data mining literature. This is not surprising, since discrimination analysis is a multi-disciplinary problem, involving sociological causes, legal argumentations, economic models, statistical techniques, computational issues. The objective of this survey is to provide a guidance and a glue for researchers and anti-discrimination data analysts on concepts, problems, application areas, datasets, methods and approaches from a multidisciplinary perspective. We organize the approaches according to their method of data collection as observational, quasi-experimental and experimental studies. A fourth line of recently blooming research on knowledge discovery based methods is also covered. Observational methods are further categorized on the basis of their application context: labor economics, social profiling, consumer markets, and others.

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Unexplored dimensions of discrimination in Europe: homosexuality and physical appearance

Cited by 96 publications

References 44 publications

Physical Disability and Labor Market Discrimination: Evidence From a Field Experiment

Physical Disability and Labor Market Discrimination: Evidence From a Field Experiment

Does it pay to care? Volunteering and employment opportunities

A multidisciplinary survey on discrimination analysis

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