1887

OECD Statistics Working Papers

The OECD Statistics Working Paper Series - managed by the OECD Statistics and Data Directorate – is designed to make available in a timely fashion and to a wider readership selected studies prepared by staff in the Secretariat or by outside consultants working on OECD projects. The papers included are of a technical, methodological or statistical policy nature and relate to statistical work relevant to the organisation. The Working Papers are generally available only in their original language - English or French - with a summary in the other.

Joint Working Papers:

Testing the evidence, how good are public sector responsiveness measures and how to improve them? (with OECD Public Governance Directorate)

Measuring Well-being and Progress in Countries at Different Stages of Development: Towards a More Universal Conceptual Framework (with OECD Development Centre)

Measuring and Assessing Job Quality: The OECD Job Quality Framework (with OECD Directorate for Employment, Labour and Social Affairs)

Forecasting GDP during and after the Great Recession: A contest between small-scale bridge and large-scale dynamic factor models (with OECD Economics Directorate)

Decoupling of wages from productivity: Macro-level facts (with OECD Economics Directorate)

Which policies increase value for money in health care? (with OECD Directorate for Employment, Labour and Social Affairs)

Compiling mineral and energy resource accounts according to the System of Environmental-Economic Accounting (SEEA) 2012 (with OECD Environment Directorate)

English

Ethnic bias, economic success and trust

Findings from large sample experiments in Germany and the United States through the Trustlab platform

This paper studies ethnic in-group bias in online trust games played by two large representative samples in the United States and Germany through the Trustlab platform, which was launched by the OECD and several research partners in 2017. The ethnic in-group bias, defined as the propensity to favour members of one’s own ethnic group in terms of monetary payoff, is significant in both countries. In the United States, members of the three largest ethnic groups trust people from their own ethnic group more than those from other groups. African Americans have a larger in-group bias than White Americans and Hispanics. Ethnic differentiation is not selective, as each group tends to have lower trust in the two other ethnic groups but at roughly the same rate. In contrast, ethnic differentiation is strongly selective in Germany: subjects of German parentage discriminate twice as much against Turkish descent participants as against Eastern European descent participants. Members of both ethnic minorities in Germany trust each other less than their own ethnic group, but do not discriminate against ones of German parentage. We also examine whether releasing information on the trustee being rich reduces ethnic differentiation, while conjecturing that this is a way to remove the stereotype that ethnic minorities are “undeserving poor”. We show that, in this case, discrimination by the ethnic majority is indeed reduced. People of Turkish descent who are rich tend to be more trusted than lower-income people of Turkish descent. However, releasing information on income can backfire, as it can increase mistrust within minorities. Finally, we show that group loyalty exists not only according to ethnicity but also according to income, as rich German parentage subjects trust other rich in-group members significantly more than do non-rich Germans.

English

Keywords: trust, ethnic discrimination, online experiment, in-group bias, income inequality
JEL: J71: Labor and Demographic Economics / Labor Discrimination / Discrimination; C99: Mathematical and Quantitative Methods / Design of Experiments / Design of Experiments: Other
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error