Causal Mediation Analysis

By Raymond Hicks, Dustin Tingley. 2011

781 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/98e81ff7715e616a875e5e68fa47f1678200bad0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

Citations in the corpus

The influence of corporate social responsibility on investment efficiency and innovation (2019, positive): “We run 1,000 simulations to compute the mediation effect (ACME), using the medeff package in Stata as developed by Hicks and Tingley (2011b).”
Labour Market Disadvantage, Political Orientations and Voting: How Adverse Labour Market Experiences Translate into Electoral Behaviour (2015, background): “Based on the simulated potential values of the mediator and the resulting simulated outcome values, we can estimate the average direct and indirect effects of the main independent (treatment) variable (Hicks and Tingley, 2011).”
Meaningful Mediation Analysis: Plausible Causal Inference and Informative Communication (2017, background): “Routines for such analyses are available (Hicks and Tingley 2011; Muthén et al. 2016).”
mediation: R Package for Causal Mediation Analysis (2014, positive): “Although these equations may resemble a traditional linear structural equations model at a Ąrst glance, they are considerably more Ćexible because the coefficients are all allowed to vary arbitrarily across individual units.”
Advantages of Monte Carlo Confidence Intervals for Indirect Effects (2012, methodology): “The authors have made syntax for both applications available online.2 It is implemented in online R calculators for single-level and (some) multilevel models for mediation (Preacher & Selig, 2010; Selig & Preacher, 2008), and in the MEDIATE macro for SPSS and (soon) SAS by Hayes and 2See http://quan”
A general approach to causal mediation analysis. (2010, positive): “The iterative procedure described in Imai et al. (2008) can be used to obtain the confidence intervals under various values of ρ.”
Causal mediation analysis for stochastic interventions (2019, methodology): “…procedure was used to create a weighted ensemble of algorithms from a library including extreme gradient boosting via the xgboost package (Chen and Guestrin, 2016), with variants including 50, 100 and 300 boosting iterations, variants of random forests using 50, 100 and 500 trees, the…”
Advances in mediation analysis: a survey and synthesis of new developments. (2015, background): “…has begun to appear—notably, recent versions of Mplus (B. Muthén, unpublished manuscript; Muthén & Asparouhov 2014; Muthén & Muthén 1998– 2014) and mediation packages/macros for R (Imai et al. 2010a, Tingley et al. 2014), Stata (Hicks & Tingley 2011), and SAS (Valeri & VanderWeele 2013).”
Enhancing Rigor in Quantitative Entrepreneurship Research (2019, methodology): “With increased attention to causal inference, the methods for causal mediation analysis have also developed rapidly (see, e.g., Hicks & Tingley, 2011; Keele et al., 2015; Tingley et al., 2014).”
Anxiety, Immigration, and the Search for Information (2014, methodology): “16 We calculate these effects using the “mediate” command in Stata (Hicks & Tingley, 2011).”
Beliefs about Climate Beliefs: The Importance of Second-Order Opinions for Climate Politics (2017, methodology): “We estimated the mediation effect using the medeff routine described in Hicks and Tingley (2011), with linear models for both the mediator and outcome variables.73 Results show an 71This average treatment effect of course masks heterogeneous treatment effects.”