Month: September 2020

The early emergence of black-white disparities

Most people are aware of the significant disparities between blacks and whites regarding a wide range of important social outcomes, including crime, income, education, poverty, welfare usage, etc. I have written extensively on racial disparities in crime and on the degree to which disparities in IQ explain many of the important racial disparities. In this post, I will review studies and data that show that many of these disparities appear extremely early. Specifically, I will show that disparities in IQ, cognitive skills, misconduct, and self-regulation appear extremely early in life. For each of these categories, I will show that we find black-white disparities at pre-school age or even earlier. The general pattern for these disparities is that they gradually grow as children age, until the magnitude of the disparities eventually mirror the gaps that we find between black and white adults.

Studies attempting to explain the black-white crime gap

In a previous post, I provided reasons to be skeptical of SES-based explanations of black criminality. This post provides studies that attempt to more rigorously examine the relationship between SES and black criminality. At the city and state level, crime is more strongly associated with the presence of blacks than it is with low-SES conditions. At the neighborhood level, studies suggest that controlling for SES can statistically account for a moderate portion of the black-white gaps in crime (although findings are mixed on the magnitude of the explained gap). Regardless, as I will argue below, such studies cannot demonstrate causality. That is, they cannot demonstrate that racial differences in neighborhood SES cause any portion of the racial gap in crime.

Studies attempting to explain the black-white cognitive ability gap

In this post, I will review studies that have attempted to account for the cognitive ability gap among children by controlling for a variety of factors, including parental socioeconomic status (SES), birth weight, home environment, parenting practices, etc. I will use these studies to determine what seem to be the most plausible candidate explanations of the gap. I end by reviewing some important issues for future investigation.