class: center, middle, inverse, title-slide .title[ # Misperceived Discrimination ] .subtitle[ ## Opening up a New Field of Research ] .author[ ### Merlin Schaeffer ] .date[ ### 2026-04-10 ] --- <img src="ineq_map.png" width="55%" style="display: block; margin: auto;" /> --- # Discrimination reports are rising .left-column[ <img src="./media/Anti-Diskriminierungsstelle.png" width="97%" style="display: block; margin: auto;" /> .center[.backgrnote[*Source*: [Federal Anti-Discrimination Agency](https://www.antidiskriminierungsstelle.de/SharedDocs/downloads/DE/publikationen/Jahresberichte/2024.pdf?__blob=publicationFile&v=2)]] ] .right-column[ <img src="./media/DW.png" width="100%" style="display: block; margin: auto;" /> .center[.backgrnote[*Source*: [Deutsche Welle](https://www.antidiskriminierungsstelle.de/SharedDocs/downloads/DE/publikationen/Jahresberichte/2024.pdf?__blob=publicationFile&v=2)]] ] --- class: clear # Factually better conditions often coincide with more reports of discrimination .push-left[ <img src="./media/Freda-LGBTQ.png" width="80%" style="display: block; margin: auto;" /> .center[.backgrnote[*Source*: [EU-FRA: LGBTIQ Survey III 2023](https://fra.europa.eu/en/publications-and-resources/data-and-maps/2024/eu-lgbtiq-survey-iii)]] ] -- .push-right[ <img src="./media/Freda-2024.png" width="80%" style="display: block; margin: auto;" /> .center[.backgrnote[*Source*: [EU-FRA: Gender-based violence survey 2024](https://fra.europa.eu/sites/default/files/fra_uploads/eu-gender_based_violence_survey_key_results.pdf)]] ] --- # A Dynamic of Perceptual Divergence? <img src="./media/Contested-Reality.png" width="65%" style="display: block; margin: auto;" /> --- class: clear inverse # Divergent perceptions raise <br> the uncomfortable question of *accuracy* -- .left-column[ <br> <br> .center[1) We cannot observe <br> hidden intentions] <img src="https://www.skolske.sk/storage/article/780x520_1588025770_article.jpg" width="100%" style="display: block; margin: auto;" /> ] -- .right-column[ .center[ 2) Ordinary people aren't great with relative frequencies ] <img src="./media/APSR.png" width="100%" style="display: block; margin: auto;" /> .backgrnote[.white[ Schaeffer, Merlin, Romarri, A., Rosenberg, D., and Krakowski, K. (forthcoming): "When Politics Enters the Waiting Room: Far-Right Electoral Victories Exacerbate Discrimination in Access to Healthcare."<br> *American Political Science Review* ]]] --- # Misperceived *Prevalence* .font70[of Discrimination] .left-column[ .font80[ Researchers from the University of Copenhagen conducted a study on discrimination. They did this by sending fictitious applications to *primary schools* in Denmark. The fictitious applications were exactly the same except for one thing: the name of the *father of the child who was to be admitted to the school*. Out of 100 fictitious applications with Danish-sounding names, 25 were able to get the child admitted to the school. _**What do you think:** out of 100 fictitious applications with Muslim-sounding names, how many were able to get the child admitted to the school?_ ]] -- .right-column[ .center[ <img src="./media/all_misp-2.png" width="79%" style="display: block; margin: auto;" /> .backgrnote[.black[Schaeffer, Merlin, Krakowski, k., and Olsen, A. (2026): "Correcting Misperceptions about Ethno‑Racial Discrimination" *American Journal of Political Science* 70(1): 54-75]]]] ??? - We did this with all filed experiments conducted in DK so far: Peter, Asmus, etc. - Let me help you interpret this. --- # Misperceived *Prevalence* .font70[of Discrimination] .right-column[ .center[ <img src="./media/all_misp-2.png" width="79%" style="display: block; margin: auto;" /> .center[.backgrnote[.black[Schaeffer, Merlin, Krakowski, k., and Olsen, A. (2026): “Correcting Misperceptions about Ethno‑Racial Discrimination” *American Journal of Political Science* 70(1): 54-75]]]]] .left-column[ <img src="./media/PredictPrev.png" width="100%" style="display: block; margin: auto;" /> ] ??? - In contrast to 3 mechanisms: No evidence of vested interest in perceiving little discrimination. + Even among those who are against immigration! + Only education: We academics are more off! --- # Misperceived *Prevalence* .font70[of Discrimination] .push-left[ <img src="./media/HaalandRoth.png" width="100%" style="display: block; margin: auto;" /> .center[.backgrnote[*Source*: Haaland and Roth (2023)]] ] ??? - Same in the US for discrimination against Black people. -- .push-left[ <img src="./media/Schaerer.png" width="70%" style="display: block; margin: auto;" /> .center[.backgrnote[*Source*: Schaerer, du Plessis, Nguyen et al. (2023)]] ] ??? - Same for how prevalent we believe gender discrimination to be. --- class: inverse center # Misperceived *Prevalence* of Discrimination <br> <br> .content-box-green[ **Claim 1**: Majority members tend to **over**-perceive the prevalence of minority discrimination ] -- <br> <br> .push-left[ <img src="./media/Krarup2.png" width="100%" style="display: block; margin: auto;" /> .center[.backgrnote[.white[*Source*: Østergaard (2020)]]] ] .push-right[ <img src="./media/Kraruping.png" width="100%" style="display: block; margin: auto;" /> ] --- class: clear # Mis*expected* *Personal* Discrimination .font60[in Behavioral Games] .right-column[ <br> <br> <br> <br> <img src="./media/Sender-en.png" width="100%" style="display: block; margin: auto;" /> .center[ €10 Endowment `\(\times 3\)` for every € entrusted ]] -- .left-column[.font80[ <table class="table" style="width: auto !important; margin-left: auto; margin-right: auto;"> <thead> <tr> <th style="text-align:left;"> Sample </th> <th style="text-align:right;"> N </th> <th style="text-align:right;"> % </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> Native mainstream </td> <td style="text-align:right;"> 1348 </td> <td style="text-align:right;"> 47.7 </td> </tr> <tr> <td style="text-align:left;"> Immigrant </td> <td style="text-align:right;"> 888 </td> <td style="text-align:right;"> 31.4 </td> </tr> <tr> <td style="text-align:left;"> Desc. of immigrant </td> <td style="text-align:right;"> 589 </td> <td style="text-align:right;"> 20.8 </td> </tr> </tbody> </table> ] <br> .alert[.font80[True first name & city from public registers]] .backgrnote[Alisina, Ahmad, Anne, Binyamin, Joyce, Somaia, Sarah, Hayriye, Saibe, Björn, Salem, Fabienne, Sadet, Linda, Margarita, Ali, Joseph, Mhd Kheir, Baran, Bahaa, Jebran, Reno, Seiji, Irina, Ajsel, Christine, Rahim, Yaw Abrefa, Mark, Anjali Dev ...] <br> .font80[10 games with different partners]] --- class: clear # Mis*expected* *Personal* Discrimination .font60[in Behavioral Games] .left-column[ `\(\text{Act Discr}_{ij} = \bar{€}_{j\text{(Germ. name)}} - €_{ij}\)` ] .right-column[ <img src="Konstanz26_files/figure-html/unnamed-chunk-18-1.png" width="100%" style="display: block; margin: auto;" /> ] ??? To measure actual discrimination, our identification strategy is a within-partner comparison The formula shows that for your partner Christina, we take the average she sent to all her German-named partners and subtract what she sent to you. --- class: clear # Mis*expected* *Personal* Discrimination .font60[in Behavioral Games] .left-column[ After the 10 Games:<br> Expectations to be discriminated 70% outgroup game partners for both native majority & immigrant minority players. ] .right-column[ <img src="media/Perception-en.png" width="100%" style="display: block; margin: auto;" /> ] --- class: clear # Mis*expected* *Personal* Discrimination .font60[in Behavioral Games] <img src="Konstanz26_files/figure-html/plot_actperc_1-1.png" width="100%" style="display: block; margin: auto;" /> --- class: clear # Mis*expected* *Personal* Discrimination .font60[in Behavioral Games] <img src="Konstanz26_files/figure-html/plot_actperc_2-1.png" width="100%" style="display: block; margin: auto;" /> ??? In 67% games immigrants and their descendants did not expect discrimination; <br> 78% they were correct If they expected unequal treatment, 95% they were inaccurate --- class: clear # Mis*expected* *Personal* Discrimination .font60[in Behavioral Games] <img src="Konstanz26_files/figure-html/plot_actperc_3-1.png" width="100%" style="display: block; margin: auto;" /> --- class: clear .left-column[ <br> .font150[.red[**Predictors of** <br> Mis_expected_ _Personal_ Discrimination]] .backgrnote[ Filled estimates: bivariate Hollow dots: multiple ]] .right-column[ <img src="media/Report_1.png" width="100%" style="display: block; margin: auto;" /> ] --- class: clear # Mis*expected* *Personal* Discrimination .font70[is Costly] .push-right[ <img src="Konstanz26_files/figure-html/unnamed-chunk-21-1.png" width="100%" style="display: block; margin: auto;" /> .center[.backgrnote[Based Selten (1967)'s strategy method.]] ] -- .push-left[ <img src="Konstanz26_files/figure-html/unnamed-chunk-22-1.png" width="100%" style="display: block; margin: auto;" /> .center[ `\((-0.766€ + -0.401€) \times 3 \times \frac{2}{3} \times 2 = -4.7€\)` `\(\frac{-4.7€}{20€} = \color{red}{-23.5\%}\)` ]] --- class: inverse center # Mis*expected* *Personal* Discrimination <br> <br> .content-box-green[ **Claim 2**: Immigrant minority members rarely expect to be discriminated,<br> but when they do, they tend to over-generalize from prior experiences of discrimination;<br> this is costly. ] --- class: center background-image: url("./media/PerceivedDiscrimination.png") background-position: center; background-size: cover # .white[Mis*perceived Personal* Discrimination] --- class: clear # Mis*perceived Personal* Discrimination .font70[Follow-up] **On average, your ten game partners sent and thereby entrusted 6 € to you.** In addition, your ten game partners played trust games with other 68 more participants. 25 of these other participants had names that sound typically German. Below you see a selection of three of these participants with names that sound typically German. **On average, your game partners sent and thereby entrusted 8 € to these three persons:** Annegret from Hamburg Klaus from Berlin Hartmut from München **The three have thus received** .font120[.alert[2 € more than you.]] **How do you rate this result?** <select class='webex-select'><option value='blank'></option><option value='answer'>My name played a role: I was disadvantaged by my game partners.</option><option value=''>My name did not play a role: I was simply unlucky</option></select> --- class: clear # Mis*perceived Personal* Discrimination .font70[Follow-up] **On average, your ten game partners sent and thereby entrusted 6 € to you.** In addition, your ten game partners played trust games with other 68 more participants. 25 of these other participants had names that sound typically German. Below you see a selection of three of these participants with names that sound typically German. **On average, your game partners sent and thereby entrusted 4 € to these three persons:** Annegret from Hamburg Klaus from Berlin Hartmut from München **The three have thus received** .font120[.alert[2 € less than you.]] **How do you rate this result?** <select class='webex-select'><option value='blank'></option><option value='answer'>My name played a role: I was advantaged by my game partners.</option><option value=''>My name did not play a role: I was simply lucky.</option></select> --- class: clear # Mis*perceived Personal* Discrimination .font70[Follow-up] **On average, your ten game partners sent and thereby entrusted 6 € to you.** In addition, your ten game partners played trust games with other 68 more participants. 25 of these other participants had names that sound typically German. Below you see a selection of three of these participants with names that sound typically German. **On average, your game partners sent and thereby entrusted 6 € to these three persons:** Annegret from Hamburg Klaus from Berlin Hartmut from München **The three have thus received** .font120[.alert[the same amount as you]]. **How do you rate this result?** <select class='webex-select'><option value='blank'></option><option value='answer'>My name played a role: In this case I nevertheless received the same.</option><option value=''>My name did not play a role: I was treated equally by my game partners.</option></select> --- class: clear # Mis*perceived* Discrimination .font70[My name played a role ...] <img src="media/Report_2.png" width="78%" style="display: block; margin: auto;" /> <img src="media/Report_23a.png" width="30%" style="display: block; margin: auto;" /> --- class: clear inverse center # Mis*perceived Personal* Discrimination <br> <br> .content-box-green[ **Claim 3**: Once the frame of discrimination becomes salient, a substantial minority (~40%) perceives discrimination. **Claim 4**: *People* tend to over-interpret ambiguous signals as evidence of discrimination. ] -- <br> .font140[.center[ .alert[.white[Thank you for your attention!]] ]] --- layout: false count: false # References .font70[ Haaland, I. and C. Roth (2023). "Beliefs About Racial Discrimination and Support for Pro Black Policies". In: _Review of Economics and Statistics_, pp. 40-53. Østergaard, A. (2020). _Detektor: Efter racismedebat – Dansk Folkeparti anerkender forskelsbehandling_. Schaeffer, M., J. Kas, and P. Hagedorn (2023a). "The Association between Actual and Perceived Discrimination (APAD): Technical Report". In: _SocArXiv_. Selten, R. (1967). "Die Strategiemethode zur Erforschung des eingeschränkt rationalen Verhaltens im Rahmen eines Oligopolexperiments". In: _Beiträge zur experimentellen Wirtschaftsforschung_. Ed. by H. Sauermann. Tübingen: Mohr, pp. 136-168. ] --- # Study Design and Sample .center[ Pre-game survey (n=2,825) `\(\rightarrow\)` Trust games (n=2,010) `\(\rightarrow\)` Pay-out experiment (n=1,880) ] .push-left[ - Stratified random sample from population registers - 50% native-born with native born parents, - Invitation via postal mail. - Unconditional €20 after survey.<br> Up to €120 overall. - Online surveys/games in German.<br>Jun '21 to Mar '22. - Response rate approx. 12%-4%. ] .push-right[ <img src="./media/Sample.png" width="100%" style="display: block; margin: auto;" /> .center[.backgrnote[*Source*: Schaeffer, Kas, and Hagedorn (2023a)]] ] --- .left-column[ n = 1,880 Focus on 878 immigrant origin respondents. Before full information on overall payout. 3 random conditions: .red[Disadvantage, equal treatment], and advantage. No deception. ]