The Consequences of Exposure to Violence during Early Childhood

For black males, homicide is the most likely cause of death, and the contrast with white males is remarkable. At age 20, the death rate per 100,000 black males by homicide was 48, while the analogous rate for white males was 6. Given that mortality is driven primarily by homicide for young black males, it suggests that their exposure to violence is much higher than their white counterparts.

Turning to the NLSY97 data, we also see evidence of a difference in exposure to violence by race. There is a large difference across race in affirmative answers to the question about seeing someone shot at before age 12: Only 8 percent of white males report seeing someone shot at, while 26 percent of black males do.

However, because the NLSY97 data come from a survey, there are two drawbacks that could affect its validity as a measure of exposure to violence. One is the possibility of nonresponse bias, which could cause any mortality estimates derived from it to be too low. While we know that some respondents have died, some respondents cannot be found, and it is unknown if they are alive or not.

To address this issue, we calculate mortality rates using the NLSY97 data (if a respondent dies between surveys, it is recorded) and compare these rates to the mortality rates from the CDC/NCHS data. We also construct an upper bound on our mortality estimate consisting of the share of respondents known to be deceased combined with the share of respondents who did not respond to the survey because they were missing and never subsequently found. That is, the upper bound shows the response rate on a question if we assume all missing persons are dead. This is not an unreasonable assumption, given that the BLS conducts an exhaustive search for every respondent who fails to report.

We find that the mortality rates in the NLSY97 roughly match the rates in the CDC/NCHS data. This gives credibility to the estimates of mortality calculated with the NLSY97 data. Figure 3 shows that the difference in mortality across race becomes statistically different at age 19 for both calculations with the NLSY97 and remains so for most later ages, a pattern found in the CDC/NCHS as well.

Another drawback of the NLSY97 is that answers are self-reported, so they might not be an accurate account of what respondents have really experienced. Respondents might not remember clearly or they might not fully understand the question, for example.

To investigate the credibility of the self-reported measure of exposure to violence in the NLSY97, we check whether seeing someone shot at while still young is connected to higher mortality rates. Since we have confidence in our measure of mortality, seeing someone shot at should be associated with increased mortality for black young males if it also accurately measures exposure to violence.

We find that seeing someone shot at before age 12 is associated with mortality in early adulthood for black males (figures 4 and 5). The discrepancy across exposure to violence is much weaker, if present at all, for white males. At age 23, for example, early childhood exposure increases the odds of death for black males from 1 in 100 to 1 in 33. As we can see in table 1, this difference is stable even when controlling for household income, mother’s educational attainment, and family structure. White males not exposed to violence have a mortality rate similar to their black counterparts, but white males who are exposed to violence do not experience the same increase in mortality.

Notes: “X’s” refers to the factors household income, mother’s educational attainment, and family structure. Asterisks (*) indicate levels of statistical significance: ***= 1 percent; **= 5 percent; *= 10 percent.

Exposure to Violence and Risky Behaviors

We now proceed to investigate how early childhood exposure to violence is related to a host of risky behaviors, both violent and nonviolent, using the NLSY97. The NLSY97 provides a rich set of information about respondents, such as their childhood environments and their education and labor market outcomes. As a result, these data allow us to investigate the relationship that mortality and other outcomes have with the childhood environment.

Regressions on the data show that black males are much more likely to carry a gun, attack someone, or belong to a gang at age 16 when they have been exposed to violence during early childhood (table 2). This difference changes very little when controlling for household income, mother’s educational attainment, and family structure. The association for white males is very similar, and for some risky behaviors is even stronger than for black young males.

Notes: “X’s” refers to the factors household income, mother’s educational attainment, and family structure. Asterisks (*) indicate levels of statistical significance: ***= 1 percent; **= 5 percent; *= 10 percent.

When exposed to violence during early childhood, black males are also more likely at age 16 to be suspended from school, to have sold drugs, to have committed a property crime, or to have been arrested for a nonviolent behavior than those not exposed (table 3).

Notes: “X’s” refers to the factors household income, mother’s educational attainment, and family structure. Asterisks (*) indicate levels of statistical significance: ***= 1 percent; **= 5 percent; *= 10 percent.

This association changes little, again, when controlling for household income, mother’s educational attainment, and family structure. The association for white males is also very similar, and just as it was for violent behaviors, even stronger than for black young males for some nonviolent risky behaviors.

Finally, we see that early childhood exposure to violence has a strong relationship with not attending school at age 17 (table 4). Black males exposed to violence are almost 12 percentage points less likely to be attending school, and controlling for household income, mother’s educational attainment, and family structure does little to change this association. And just as we saw for other risky behaviors, the likelihood of not attending school has an even stronger relationship with early childhood exposure for white males.

Notes: “X’s” refers to the factors household income, mother’s educational attainment, and family structure. Asterisks (*) indicate levels of statistical significance: ***= 1 percent; **= 5 percent; *= 10 percent.

Discussion

This article has documented that black young males in the United States are exposed to much more violence in early childhood than their white counterparts, as measured both by children’s perceptions and their subsequent mortality in early adulthood. We have also shown that exposure to violence has a strong relationship with a host of undesirable later outcomes, and that this relationship tends to be the same regardless of race, household income, mother’s educational attainment, or family structure.

We can think of at least two obvious ways that exposure to violence could negatively affect a child’s development. First is the direct effect: The stress caused by exposure to violence has major negative consequences on children’s development through the physiological reaction our bodies have to such stress (See the discussion in chapter 1 of Tough, 2012).

Second is the indirect effect operating through expectations. One set of expectations pertains to children’s beliefs about how they will interact with other people and the type of society in which they live. Another set of expectations is defined by how children perceive their own futures. Consider that adults entering retirement can accurately forecast their survival probabilities (Hurd and McGarry 1995) and make choices reflecting those forecasts (Hurd, Smith, and Zissimopoulos, 2004). A young male might make very different decisions when facing a 1 in 20 chance of dying by age 30 rather than a 1 in 50 chance.

We can also think of two complementary policy approaches to addressing the problems caused by violence in the environments of some children. One comes at the issue from the question of “How can we prevent children from being exposed to violence?” And the other comes at it from the perspective of “What tools might we be able to give them to help navigate their environments?”

The first approach seeks to improve the environments in which kids grow up, by way of improving early childhood education or enhancing school and home environments. A couple of innovative programs currently attracting attention along these lines include Community-Oriented Policing Services (COPS), which is intended to make neighborhoods safer (see page 12 of National Crime Prevention Council, 2007) and the Promise Neighborhood Initiative, which is focused on improving educational outcomes.

The second approach to mitigating the effects of exposure to violence is to equip children with tools to help lessen the environmentally determined component of skill development and magnify the individually determined component. Some examples include giving kids access to technologies like books and the internet (Khan, 2012) or equipping them with strategies like mental contrasting with implementation intentions, a visualization technique shown to improve goal attainment (Tough, 2012, p. 92). The adoption of trauma-informed practices by schools and social service providers is another tool that can reduce the negative consequences of exposure to violence (Steele and Malchiodi, 2012).