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Understanding the Racial and Income Gap in COVID-19: Public Transportation and Home Crowding

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Abstract

This is the second post in a series that aims to understand the gap in COVID-19 intensity by race and income. In our first post, we looked at how comorbidities, uninsurance rates, and health resources may help to explain the race and income gap observed in COVID-19 intensity. We found that a quarter of the income gap and more than a third of the racial gap in case rates are explained by health status and system factors. In this post, we look at two factors related to indoor density—namely public transportation use and home crowding. Here, we will aim to understand whether these two factors affect overall COVID-19 intensity, whether the income and racial gaps of COVID-19 can be further explained when we additionally include these factors, and whether and to what extent these factors independently account for income and racial gaps in COVID-19 intensity (without controlling for the factors considered in the other posts in this series).

Suggested Citation

  • , 2021. "Understanding the Racial and Income Gap in COVID-19: Public Transportation and Home Crowding," Liberty Street Economics 20210112b, Federal Reserve Bank of New York.
    • Handle: RePEc:fip:fednls:89423
    Note: Heterogeneity Series V: The Racial and Income Gap in COVID-19
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    More about this item

    Keywords

    COVID-19; race; income; inequality; public transit; home crowding;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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