Volume 43 - Article 22 | Pages 617–658
Estimating and explaining ethnic disparities in the cumulative risk of paternal incarceration in Denmark
|Date received:||19 Jun 2019|
|Date published:||26 Aug 2020|
|Keywords:||decomposition, incarceration, intergenerational, life tables, racial/ethnic disparities, racism|
|Additional files:||readme.43-22 (text file, 1 kB)|
|demographic-research.43-22 (zip file, 35 kB)|
Background: Paternal incarceration is a well-known risk factor for poor child outcomes. Although existing research documents the prevalence of paternal incarceration and racial/ethnic disparities in this risk, research in this area is still sorely limited in two ways. First, the range of groups for which we know the cumulative risk of paternal incarceration is still quite narrow. Second, no research has decomposed disparities in the risk of paternal incarceration into analytically distinct components.
Objective: To estimate and explain ethnic disparities in paternal incarceration risk in Denmark.
Methods: We use Danish administrative data and two core demographic techniques. First, we use birth cohort life tables to estimate country of origin-specific paternal incarceration risks for native Danes, Western descendants of immigrants, and ten groups of non-Western descendants of immigrants. Second, we conduct Blinder-Oaxaca decompositions to see how three factors – paternal employment, education, and previous criminal justice contact – shape these risks.
Results: We find that descendants of immigrants are much more likely to experience paternal incarceration than native Danes, but that there is substantial heterogeneity across country of origin. Additionally, we find that for most countries the observed disparities in paternal incarceration risk can be almost entirely explained by group differences in paternal employment, education, and previous criminal justice contact.
Contribution: By using two core demographic techniques we provide insight into how future research on paternal incarceration and other risk factors for poor child well-being could better estimate and explain the risk of experiencing these events.
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