In this paper, we estimate the likelihood that workers without a college degree will earn more than those who completed higher education. The resulting figures are highly relevant to the decision-making process regarding college enrollment. Our approach involves the estimation of probabilistic models applied to census data that includes forty-two country-year samples covering economies across the development spectrum. Three sets of results stand out. First, we find a remarkable heterogeneity concerning the estimated probabilities. Among our samples, the estimates range from a little more than 13 percent to almost 40 percent. Second, we document a steady drop in the probability levels for the United States starting in 1980. The U.S. series falls more than 10 percentage points from its maximum in 1980 to its minimum in 2015. Third and finally, we show both theoretically and empirically that there is a strong and negative relationship between our proposed probability metric and commonly-used measures of the college premium, such as the mean and median earnings differentials. These results provide scholars and policymakers with valuable information about the chances of the non-college path being more profitable than the higher education path.
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