Many commonly used treatment effects estimators rely on the unconfoundedness assumption ("selection on observables") which is fundamentally non-testable. When evaluating the effects of labor market policies, researchers need to observe variables that affect both treatment participation and labor...

We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard rates and conditional survival probabilities, without model structure.We derive constructive identification proofs for average treatment effects under noncompliance and dynamic...

Structural VAR models require two ingredients: (i) Informational sufficiency, and (ii) a valid identification strategy. These conditions are unlikely to be met by small-scale recursively identified VAR models. I propose a Bayesian Proxy Factor-Augmented VAR (BP-FAVAR) to combine a large...

We investigate the heterogeneity in the effects of monetary policy shocks on the distribution of wages and hours worked, using unique contract-level data from the Czech labor market and identifying monetary policy shocks using a narrative approach based on market suprises in interest rate...

The long-run impact of economic growth on total fertility trends is ambiguous and sensitive for in-time variations. Over last decades, economic growth has led in many countries to significant falls in total fertility rates. However, in recent years, in high-income economies a kind of...