Several recent papers employ the regression discontinuity design (RDD) to estimate the causal effect of a diploma (or similar credentials) on wages. Using a simple model of asymmetric information, I show that RDD estimates the information value of a diploma. A positive information value arises...

Several recent papers employ the regression discontinuity design (RDD) to estimate the causal effect of a diploma (or similar credentials) on wages. Using a simple model of asymmetric information, I show that RDD estimates the information value of a diploma. A positive information value arises...

A pre-condition for employer learning is that signals at labor market entry do not fully reveal graduates' productivity. I model various distinct sources of signal imperfection - such as noise and multi-dimensional types - and characterize their implications for the private return to skill...

A pre-condition for employer learning is that signals at labor market entry do not fully reveal graduates' productivity. I model various distinct sources of signal imperfection - such as noise and multi-dimensional types - and characterize their implications for the private return to skill...

A pre-condition for employer learning is that signals at labor market entry do not fully reveal graduates' productivity. I model various distinct sources of signal imperfection-such as noise and multi-dimensional types-and characterize their implications for the private return to skill...

Several recent papers employ the regression discontinuity design (RDD) to estimate the causal effect of a diploma (or similar credentials) on wages. Using a simple model of asymmetric information, I show that RDD estimates the information value of a diploma. A positive information value arises...