| Summary: | Includes bibliographical references === Returns to schooling have typically been estimated with cross-sectional data. However, these studies are fraught with difficulties arising from the endogeneity of education. Individual effects that cannot be measured, such as ability and family background, cause bias in the estimates because they are correlated with education. A panel data approach is thus potentially superior to a cross-sectional one, in that it allows the individual effects to be eliminated with time-differencing. However, time-invariant regressors, such as education, cannot be identified under these time-differencing techniques. This paper therefore uses a Generalized Instrumental Variables method that was developed by Hausman and Taylor (1981) to estimate returns to schooling under a panel data context. This approach both controls for endogeneity bias and allows the identification of time-constant regressors, in this case, education. The re- turns to schooling under this estimation method are approximately 21% for South African individuals who are consistently employed from 2008-2013.
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