We propose a regression-adjusted matched difference-in-differences framework to estimate non-pecuniary returns to adult education. This approach combines kernel matching with entropy balancing to account for selection bias and sorting on gains. Using data from the German SOEP, we evaluate the...

We propose a regression-adjusted matched difference-in-differences framework to estimate non-pecuniary returns to adult education. This approach combines kernel matching with entropy balancing to account for selection bias and sorting on gains. Using data from the German SOEP, we evaluate the...

We propose a regression-adjusted matched difference-in-differences framework to estimate non-pecuniary returns to adult education. This approach combines kernel matching with entropy balancing to account for selection bias and sorting on gains. Using data from the German SOEP, we evaluate the...

We propose a regression-adjusted matched difference-in-differences framework to estimate non-pecuniary returns to adult education. This approach combines kernel matching with entropy balancing to account for selection bias and sorting on gains. Using data from the German SOEP, we evaluate the...

We propose a regression-adjusted matched difference-in-differences framework to estimate non-pecuniary returns to adult education. This approach combines kernel matching with entropy balancing to account for selection bias and sorting on gains. Using data from the German SOEP, we evaluate the...

We propose a regression-adjusted matched difference-in-differences framework to estimate non-pecuniary returns to adult education. This approach combines kernel matching with entropy balancing to account for selection bias and sorting on gains. Using data from the German SOEP, we evaluate the...

This paper considers whether listed companies with dispersed ownership invest less in training than do other firms, as part of a short-termist stance caused by pressure from the stock market. An analytical framework that supports the proposition involves three factors: high agency costs between...