Affiner les résultats

Long Term Outcomes from CT-guided Indirect Cervical Nerve Root Blocks and their relationship to the MRI findings- A prospective Study

Bensler, Susanne ; Sutter, Reto ; Pfirrmann, Christian ; Peterson, Cynthia

In: European Radiology, 2015, vol. 25, no. 11, p. 3405-3413

Mediating Effects Between Objective and Subjective Indicators of Urban Quality of Life: Testing Specific Models for Safety and Access

von Wirth, Timo ; Grêt-Regamey, Adrienne ; Stauffacher, Michael

In: Social Indicators Research, 2015, vol. 122, no. 1, p. 189-210

Patient outcomes after laminotomy, hemilaminectomy, laminectomy and laminectomy with instrumented fusion for spinal canal stenosis: a propensity score-based study from the Spine Tango registry

Munting, Everard ; Röder, Christoph ; Sobottke, Rolf ; Dietrich, Daniel ; Aghayev, Emin

In: European Spine Journal, 2015, vol. 24, no. 2, p. 358-368

Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour

Huber, Martin ; Lechner, Michael ; Steinmayr, Andreas

In: Empirical Economics, 2015, vol. 49, no. 1, p. 1-31

Anastomotic leakage after curative rectal cancer resection has no impact on long-term survival: a propensity score analysis

Ebinger, Sabrina ; Warschkow, René ; Tarantino, Ignazio ; Schmied, Bruno ; Marti, Lukas

In: International Journal of Colorectal Disease, 2015, vol. 30, no. 12, p. 1667-1675

Natural disasters and electoral outcomes

Masiero, Giuliano ; Santarossa, Michael

In: European Journal of Political Economy, 2021, vol. 67, p. 19 p

Natural disasters are good examples of catastrophic events that may affect vote decisions. In this study, we analyze how the occurrence of earthquakes changes voters' behavior at municipal elections and which channels drive this change, focusing in particular on the role of media exposure. We exploit data from 13,338 municipal electoral cycles where incumbents seek reelection between 1993 and...

Identification of Average Treatment Effects in Social Experiments Under Alternative Forms of Attrition

Huber, Martin

In: Journal of Educational and Behavioral Statistics, 2012, vol. 37, no. 3, p. 443-474

As any empirical method used for causal analysis, social experiments are prone to attrition which may flaw the validity of the results. This paper considers the problem of partially missing outcomes in experiments. Firstly, it systematically reveals under which forms of attrition - in terms of its relation to observable and/or unobservable factors - experiments do (not) yield causal...

Direct and Indirect Effects based on Changes-in-Changes

Huber, Martin ; Schelker, Mark ; Strittmatter, Anthony

In: Journal of Business and Economic Statistics, 2019, p. 1-60

We propose a novel approach for causal mediation analysis based on changesin- changes assumptions restricting unobserved heterogeneity over time. This allows disentangling the causal effect of a binary treatment on a continuous outcome into an indirect effect operating through a binary intermediate variable (called mediator) and a direct effect running via other causal mechanisms. We identify...

Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting

Huber, Martin ; Yu-Chin, Hsu ; Tsung-Chih, Lai

In: Journal of Econometric Methods, 2019, vol. 8, no. 1, p. 1-20

Using a sequential conditional independence assumption, this paper discusses fully nonparametric estimation of natural direct and indirect causal effects in causal mediation analysis based on inverse probability weighting. We propose estimators of the average indirect effect of a binary treatment, which operates through intermediate variables (or mediators) on the causal path between the...

Direct and Indirect Effects Based on Difference-in-Differences With an Application to Political Preferences Following the Vietnam Draft Lottery

Deuchert, Eva ; Huber, Martin ; Schelker, Mark

In: Journal of Business and Economic Statistics, 2019, vol. 37, no. 4, p. 710-720

We propose a difference-in-differences approach for disentangling a total treatment effect within specific subpopulations into a direct effect and an indirect effect operating through a binary mediating variable. Random treatment assignment along with specific common trend and effect homogeneity assumptions identify the direct effects on the always and never takers, whose mediator is not...