Should We Trust in Values? Explaining Public Support for Pro-Environmental Taxes

Should Environmental Taxes Be Precautionary?

How Much Should We Trust

Most papers that employ Differences-in-Differences estimation (DD) use many years of data and focus on serially correlated outcomes but ignore that the resulting standard errors are inconsistent. To illustrate the severity of this issue, we randomly generate placebo laws in state-level data on female wages from the Current Population Survey. For each law, we use OLS to compute the DD estimate o...

Predicted values: how should we use them?

In Components We Trust – Programming Language Support for Weak Protection

For many reasons we trust components just to some degree. Component users apply a number of methods to improve protection against malicious components. In this paper we briefly analyze some of these concepts and their relationships to our trust in components. It turns out that weak protection methods (those with potential security holes) can be beneficial for components we partially trust espec...

How Much Should We Trust Differences-in-differences Estimates?*

Most papers that employ Differences-in-Differences estimation (DD) use many years of data and focus on serially correlated outcomes but ignore that the resulting standard errors are inconsistent. To illustrate the severity of this issue, we randomly generate placebo laws in state-level data on female wages from the Current Population Survey. For each law, we use OLS to compute the DD estimate o...