High School Sports Build or Reveal Character?
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High school sports participation reveals no consistent evidence of positive spillovers on wages, LFP, or college attendance, challenging the notion that sports foster beneficial skills
Paper finds no evidence that participation in high school sports has positive spillovers on wages, LFP or college attendance, highly correlated but its all self-selection. Core of paper, "...We examine the extent to which participation in high school athletics has beneficial effects on future education, labor market, and health outcomes. Due to the absence of plausible instruments in observational data, we use recently developed methods that relate selection on observables with selection on unobservables to estimate bounds on the causal effect of athletics participation. We analyze these effects in the US separately for men and women using three different nationally representative longitudinal data sets that each link high school athletics participation with later-life outcomes. We do not find consistent evidence of individual benefits reported in many previous studies - once we have accounted for selection, high school athletes are no more likely to attend college, earn higher wages, or participate in the labor force. However, we do find that men (but not women) who participated in high school athletics are more likely to exercise regularly as adults. Nevertheless, athletes are no less likely to be obese...."
Their evidence
Positive outcomes driven by selection,"...Athletic participation is strongly positively correlated with a number of outcomes—including high school graduation, college attendance, college graduation, wages, exercise habits, and absence of obesity—but we find that this correlation is almost completely due to selection. For most of the outcomes that we consider, we find that even if the correlation between athletic participation and unobservable characteristics is a small fraction of the correlation between athletic participation and observable characteristics, then there is no effect of sports.Across several different outcomes and different samples, we find no consistent benefit from high school sports. However, in a few cases that we discuss below, we do find statistically significant effects from sports participation that are arguably causal...."
“…In Table 1 and Table 2 we present basic descriptive statistics of athletes and non-athletes for men and women, respectively. Each table contains a list of outcomes and control variables from each survey, along with the respective sample means for non-athletes, athletes, and the full sample. We denote with an asterisk sample means of athletes that are statistically different from non-athletes at the 5% level. The descriptive statistics provide a high-level understanding of how selection on observables and unobservables might mitigate the effects of sports. We divide the variables into three categories: background characteristics, school characteristics, and outcomes…Athletes tend to have higher cognitive test scores, be disproportionately white, have parents with higher levels of education, be more likely to co-reside with parents, and come from homes with higher incomes. In short, our basic summary statistics reveal that athletes are strongly positively selected on personal and family background traits….On the school side, athletes are less likely to be absent from school, more likely to be found in private schools and schools with smaller student bodies, more likely to be found in rural schools, and more likely to attend schools that are more racially segregated. These results hold for both men and women, and are in line with existing literature and theory. Namely, overwhelmingly white, private, and rural schools provide more opportunities for student athletes, for whatever reason. Possible explanations include differences in school funding, or that it is statistically easier to make the team at a school with a smaller student body….In addition to observing that athletes have different background and school contexts, we also observe that athletes have very different adult outcomes. They attain higher levels of education, measured either by grades completed or degrees attained. Athletes also earn more as adults: about 15 percent higher wages for men, and about 12 percent higher wages for women. Athletes are much more likely to report exercising regularly. Male athletes are neither more nor less likely to be obese as adults, while female athletes are much less likely to be obese. Athletes of both genders report a higher frequency of alcohol abuse as adults….The results in Tables 1 and 2 are striking in that the different surveys exhibit not only the same sign of sports effects, but also many of the same magnitudes, in spite of the fact that athletic participation is measured quite differently across the three surveys….”
Educational outcomes
“….Tables 4 and 5 contain estimates of α, the effect of sports participation on educational outcomes, from all three surveys, respectively for men and women. The first two rows of the table report OLS estimates, while the remaining rows report RCR estimates. Consistent with the large body of prior research on the topic, as well as the evidence reported in Tables 1 and 2, when we assume that students are randomly assigned to be athletes, we find economically large and statistically significant effects of sports participation on high school graduation, college attendance, and college graduation. Furthermore, the inclusion of explanatory variables dramatically reduces the size of the estimated effect, by more than half in some cases. The estimated effects are slightly smaller for women, but the general pattern is very similar.....thus, the correlation between sports participation and college graduation propensity for men in the NELS:88 is robust to a large amount of selection on unobservables, although we would not reject a null hypothesis of a null effect if λ = 1. On the other hand, for women we find little evidence to support a causal effect of sports participation on the educational outcomes that we examine. For all three of these samples, even if the correlation with the unobservables is only half as much as the correlation with the observables, there is no beneficial effect of sports participation….”

Labor market outcomes
“…Tables 6 and 7 contain estimates for log wages and full-time employment across all three surveys, respectively for men and women. Overall, we find a very similar pattern to what we observed for the educational outcomes: OLS estimates are large and statistically significant, and the inclusion of explanatory variables reduces this effect. One exception is the full- time work status for the NELS:88 and Add Health male samples, where the raw difference between athletes and non-athletes is essentially zero in each. Another exception is that for women’s full-time work status in the NELS:88, where we document a negative selection on observables….The RCR analysis confirms that even if the correlation between sports participation and the unobservables is only half of its correlation with the observables, we estimate a null effect of sports on wages and employment.The only exception to this is again in the NELS:88 sample of men, where we estimate that athletes earn about 3.3 percent more than non-athletes if we allow λ = 1. However, the estimate is imprecise and is not statistically significantly different from zero…”

Health and risky behaviors
“…Tables 8 and 9 contain estimates for our measures of health and risky behaviors: regular exercise, obesity, and alcohol abuse. In the case of regular exercise, both surveys indicate that male athletes are more likely to participate in regular adult exercise. Interestingly, after controlling for observables, the athlete/non-athlete difference does not change much (and actually increases in the Add Health sample). This result is graphically depicted in Figure 1 (b) for the NELS:88….”
Their takeaway, "...Our largely null results inform the policy debate on high school sports by providing evidence against claims that sports foster skills that improve educational or labor market outcomes. However, despite having very little human capital value, sports may still have a place in high school as a social or cultural activity. We generally confirm the assertion of sports commentator Heywood Hale Broun, who said, “Sports reveals character, it doesn’t build it”
Michael Ransom and Tyler Ransom, "Do High School Sports Build or Reveal Character?Institute of Labor Economics, October 2017, https://docs.iza.org/dp11110.pdf



