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Related Experiment Video

Updated: Jun 20, 2026

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

SPATIAL MISMATCH OR RACIAL MISMATCH?

Judith K Hellerstein¹, David Neumark, Melissa McInerney

¹Department of Economics and MPRC, University of Maryland, and NBER.

Journal of Urban Economics

|September 4, 2009

Summary

This summary is machine-generated.

Racial mismatch, not just spatial mismatch, significantly impacts Black male employment. Job availability for Black men depends more on racial hiring patterns than geographic proximity alone.

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Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

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The (Spatial) Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition

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Published on: February 19, 2018

Area of Science:

Sociology
Economics
Urban Studies

Background:

The spatial mismatch hypothesis suggests employment disparities arise from geographic distance between workers and jobs.
This study investigates an alternative, the racial mismatch hypothesis, focusing on hiring discrimination.

Purpose of the Study:

To test the spatial mismatch hypothesis using direct job density measures.
To examine the role of racial hiring patterns in Black male employment.

Main Methods:

Utilized Census Long-Form respondent data.
Constructed direct measures of job density in detailed geographic areas.
Disaggregated job density by race to assess hiring effects.

Main Results:

Spatial mismatch is linked to Black male employment, particularly for low-skilled workers.
Black job density, not white job density, significantly influences Black male employment.
Geographic proximity alone plays a minor role in low Black male employment rates.

Conclusions:

Racial hiring discrimination is a more significant factor than spatial separation in Black male employment disparities.
Policy interventions should address hiring biases alongside spatial accessibility issues.