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We propose a new specification test to assess the validity of the judge leniency design. We characterize a set of sharp testable implications, which exploit all the relevant information in the observed data distribution to detect violations of the judge leniency design assumptions. The proposed...
Persistent link: https://www.econbiz.de/10014544734
of group-level unobservables, standard quantile regression techniques are inconsistent in our setting even if the …, consisting of group-by-group quantile regression followed by two-stage least squares. Using the Bahadur representation of …
Persistent link: https://www.econbiz.de/10012457635
Persistent link: https://www.econbiz.de/10014507747
Treatment effect estimates in regression discontinuity (RD) designs are often sensitive to the choice of bandwidth and … polynomial order, the two important ingredients of widely used local regression methods. While Imbens and Kalyanaraman (2012) and … of the local regression RD estimator as the criterion to guide polynomial order selection. We show in Monte Carlo …
Persistent link: https://www.econbiz.de/10012481619
We consider a linear panel event-study design in which unobserved confounds may be related both to the outcome and to the policy variable of interest. We provide sufficient conditions to identify the causal effect of the policy by exploiting covariates related to the policy only through the...
Persistent link: https://www.econbiz.de/10012453151
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whom particular instrumental variables (IV) and regression discontinuity estimates are valid. This lecture uses several …
Persistent link: https://www.econbiz.de/10012938695
Linear instrumental variable estimators, such as two-stage least squares (TSLS), are commonly interpreted as estimating positively weighted averages of causal effects, referred to as local average treatment effects (LATEs). We examine whether the LATE interpretation actually applies to the types...
Persistent link: https://www.econbiz.de/10012814484
A central challenge in estimating the causal effect of TV advertising on demand is isolating quasi-random variation in advertising. Political advertising, which topped $14 billion in expenditures in 2016, has been proposed as a plausible source of such variation and thus a candidate for an...
Persistent link: https://www.econbiz.de/10012481544
What is the impact of granular credit risk on banks and on the economy? We provide the first causal identification of single-name counterparty exposure risk in bank portfolios by applying a new empirical approach on an administrative matched bank-firm dataset from Norway. Exploiting the fat tail...
Persistent link: https://www.econbiz.de/10012482214