We propose a new approach to estimate selection-corrected quantiles of the gender wage gap. Our method employs instrumental variables that explain variation in the latent variable but, conditional on the latent process, do not directly affect selection. We provide semiparametric identification...

We propose a new approach to estimate selection-corrected quantiles of the gender wage gap. Our method employs instrumental variables that explain variation in the latent variable but, conditional on the latent process, do not directly affect selection. We provide semiparametric identification...

This paper applies the Growth-at-Risk (GaR) framework to assess downside risks to euro area GDP growth, and it examines its usefulness for stress testing. Supervisory stress-test scenarios are often criticized for being either too mild or implausibly severe, raising questions about calibration....

This paper applies the Growth-at-Risk (GaR) framework to assess downside risks to euro area GDP growth, and it examines its usefulness for stress testing. Supervisory stress-test scenarios are often criticized for being either too mild or implausibly severe, raising questions about calibration....

We propose a new approach to estimate selection-corrected quantiles of the gender wage gap. Our method employs instrumental variables that explain variation in the latent variable but, conditional on the latent process, do not directly affect selection. We provide semiparametric identification...

We propose a new approach to estimate selection-corrected quantiles of the gender wage gap. Our method employs instrumental variables that explain variation in the latent variable but, conditional on the latent process, do not directly affect selection. We provide semiparametric identification...