Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We build an overlapping generations model where an individual sees higher returns to adopting a behavior as many neighbors adopt the behavior. We show that overlap in the state of a parent and child's neighborhood can lead to correlation in parent-child behavior independent of any parent-child interaction. Increasing the sensitivity of individual decisions to the state of their social community leads to increased parent-child correlation and less efficient (more costly) behavior on average in the society. We show this model is distinguished from a direct parental influence model, in that it predicts increased generational effects, implying residual correlation between children and grandparents after including parental information. (JEL J12, J13, Z13)