This paper studies how the horizontal and vertical mismatches in the labor market affect wage. We do so by taking into account that by choosing a job, wage and mismatches are simultaneously determined. The Seemingly Unrelated Equations model also allows us to control for any omitted variable that could cause biased estimators. We use REFLEX data for Spain. Results reveal that in most cases being horizontally matched has a wage premium and being over-educated does not affect wage. Results suggest that the modeling strategy successfully accounts for some omitted variable that affects simultaneously the probability of being horizontally matched and the wage. This could explain the existence of a wage penalty for over-educated workers when the omitted variable issue is not dealt with.