Search Results - subject:"causal inference"

On the interpretation of instrumental variables in the presence of specification errors : a causal comment

Raunig, Burkhard - In: Econometrics : open access journal 5 (2017) 3, pp. 1-6

Swamy et al. (2015) argue that valid instruments cannot exist when a structural model is misspecified. This note shows that this is not true in general. In simple examples valid instruments can exist and can help to estimate parameters of interest.

Persistent link: https://www.econbiz.de/10011711090

Towards comprehensive policy-evaluation : reassessing the effects of labour market and social policies from an interdisciplinary perspective

Fervers, Lukas - 2017

Policy-evaluation, labour market policies, welfare state, causal inference. …

Persistent link: https://www.econbiz.de/10012240554

Inference on local average treatment effects for misclassified treatment

Yanagi, Takahide - 2017

Persistent link: https://www.econbiz.de/10011962331

Identification and efficiency bounds for the average match function under conditionally exogenous matching

Graham, Bryan S.; Imbens, Guido W.; Ridder, Geert - 2016

Consider two heterogenous populations of agents who, when matched, jointly produce an output, Y. For example, teachers and classrooms of students together produce achievement, parents raise children, whose life outcomes vary in adulthood, assembly plant managers and workers produce a certain...

Persistent link: https://www.econbiz.de/10011445793

Minimum wage and employment: Escaping the parametric straitjacket

Cabras, Stefano; Fidrmuc, Jan; de Dios Tena Horrillo, Juan - 2016

Parametric regression models are often not flexible enough to capture the true relationships as they tend to rely on arbitrary identification assumptions. Using the UK Labor Force Survey, the authors estimate the causal effect of national minimum wage (NMW) increases on the probability of job...

Persistent link: https://www.econbiz.de/10011460743

On statistical methods for labor market evaluation under interference between units

Karlsson, Maria; Lundin, Mathias - 2016

causal inference) methods, some conditions must be satisfied. One requirement is that the outcomes of individuals are not … methods for causal inference even under interference. In this paper, we review some of the most important contributions made …

Persistent link: https://www.econbiz.de/10011695407

"Randomisation bias" in the medical literature: A review

Sianesi, Barbara - 2016

Randomised controlled or clinical trials (RCTs) are generally viewed as the most reliable method to draw causal … inference as to the effects of a treatment, as they should guarantee that the individuals being compared differ only in terms of … causal model. This 'no randomisation bias' assumption is generally untestable but if violated would undermine the causal …

Persistent link: https://www.econbiz.de/10011786837

Design and Analysis of Experiments in Networks: Reducing Bias from Interference

Eckles, Dean; Karrer, Brian; Ugander, Johan - In: Journal of Causal Inference 5 (2016) 1

Abstract Estimating the effects of interventions in networks is complicated due to interference, such that the outcomes for one experimental unit may depend on the treatment assignments of other units. Familiar statistical formalism, experimental designs, and analysis methods assume the absence...

Persistent link: https://www.econbiz.de/10014610832

Predicting the Direction of Causal Effect Based on an Instrumental Variable Analysis: A Cautionary Tale

Burgess, Stephen; Small, Dylan S. - In: Journal of Causal Inference 4 (2016) 1, pp. 49-59

Abstract An instrumental variable can be used to test the causal null hypothesis that an exposure has no causal effect on the outcome, by assessing the association between the instrumental variable and the outcome. Under additional assumptions, an instrumental variable can be used to estimate...

Persistent link: https://www.econbiz.de/10014610833

Data-Adaptive Causal Effects and Superefficiency

Aronow, Peter M. - In: Journal of Causal Inference 4 (2016) 2

Abstract Recent approaches in causal inference have proposed estimating average causal effects that are local to some …

Persistent link: https://www.econbiz.de/10014610844