This paper assesses the importance of reverse causality when evaluating the impact of training duration for unemployed workers. We use planned duration as an instrumental variable for actual duration. Our results suggest that the potential endogeneity of exits seems to be only relevant in the...

We study the effects of a change in the way patient reimbursements are calculated on the prices of pharmaceuticals using quasi-experimental data for Denmark which switched from external (where reimbursements are based on prices of similar products in foreign countries) to internal reference...

We study the effects of a change in the way patient reimbursements are calculated on the prices of pharmaceuticals using quasi-experimental data for Denmark which switched from external (where reimbursements are based on prices of similar products in foreign countries) to internal reference...

We study the effects of a change in the way patient reimbursements are calculated on the prices of pharmaceuticals using quasi-experimental data for Denmark which switched from external (where reimbursements are based on prices of similar products in foreign countries) to internal reference...

The effects of active labour market policies (ALMP) on individual employment chances and earnings are evaluated by non-parametric instrumental variables based on Swiss administrative data with detailed regional information. Using an exogenous variation in the participation probabilities across...

A wide literature uses date of birth as an instrument to study the causal effects of educational attainment. This paper shows how parents delaying their children’s initial enrollment in kindergarten, a practice known as redshirting, can make estimates obtained through this identification...

This paper examines the causal effects of smoking behavior on body weight in Italy. In 2005, the Italian government introduced a smoking ban in all indoor public places. We use a regression discontinuity design, which exploits this exogenous variation across cohorts to achieve identification in...

Under treatment effect heterogeneity, an instrument identifies the instrument-specific local average treatment effect (LATE). If a regression model is estimated by the two-stage least squares (2SLS) using multiple instruments, then 2SLS is consistent for a weighted average of different LATEs. In...

In this paper we show that the testable implications derived in Huber and Mellace (2013) are the best possible to detect invalid instruments, in the presence of heterogeneous treatment effects and endogeneity. We also provide a formal proof of the fact that those testable implications are only...

This study examines the impact of the adoption of New Rice for Africa varieties (NERICAs) on income and poverty among Nigerian rice farming households. It used instrumental variables estimators to estimate the Local Average Treatment Effect (LATE) of adopting NERICA on income and poverty...