We propose a methodology for constructing confidence intervals for macroeconomic forecasts that directly incorporate quantitative measures of uncertainty – such as survey-based indicators, stock market volatility, and policy uncertainty. By allowing the width of confidence intervals to vary...

Quantitative research relies heavily on coding, and coding errors are relatively common even in published research. In this paper, we examine whether individuals are more or less likely to check their code depending on the results they obtain. We test this hypothesis in a randomized experiment...