Mediation analysis in recursive systems of distributed-lag linear regressions
Bibliographic Data
| ID | 21378263 |
|---|---|
| Authors | Alessandro Magrini (0000-0002-7278-5332, University of Florence, corresponding author) |
| Year | 2022 |
| Volume | 56 |
| Issue | 3 |
| Pages | 1535-1555 |
| Publication date | 2022-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Quality & Quantity (JOURNAL) |
| Journal identifiers | ISSN: 0033-5177 • E-ISSN: 1573-7845 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11135-021-01194-8 |
| OpenAlex | W3179756043 |
| Language | EN |
| Citations received | 1 |
| References cited | 29 |
Recursive systems of linear regressions is a consolidated methodology for mediation analysis, allowing to determine causal effects of interest in a closed form based on the regression coefficients. In a dynamic perspective, distributed-lags can be added to each regression in order to represent causal effects persisting over several periods. However, mediation analysis in the dynamic case is challenging, because causal effects depend on the time lag, and a general procedure to compute their lag distribution based on the regression coefficients is currently missing. In this paper, we formalize the rules to perform mediation analysis in recursive systems of distributed-lag linear regressions, here called Distributed-lag Linear Recursive Models (DLRMs). Firstly, mediation analysis is based on the Directed Acyclic Graph (DAG) representation of the DLRM, then a DAG-free algorithm is proposed to improve computational efficiency. Our DAG-free algorithm is applied to a DLRM representing the impact pathways of agricultural research expenditure towards poverty reduction in rural areas
Algorithm · Directed acyclic graph · Distributed lag · Econometrics · Lag · Linear regression · Machine learning · Mediation · Regression · Regression analysis · Statistics · Advanced Causal Inference Techniques · Bayesian Modeling and Causal Inference · Cognitive Science and Mapping · Computer Science · Mathematics
Graphical Markov Models
Causality
The Statistical Implications of a System of Simultaneous Equations
The Method of Path Coefficients
Bias in cross-sectional analyses of longitudinal mediation.
Testing Mediational Models With Longitudinal Data
Time and Other Considerations in Mediation Design
Bias in Cross-Sectional Analyses of Longitudinal Mediation
Commentary
Estimation of Controlled Direct Effects in Longitudinal Mediation Analyses with Latent Variables in Randomized Studies
A Comparison of the Cross-Sectional and Sequential Designs when Assessing Longitudinal Mediation
The impact of agricultural research on productivity and poverty in sub-Saharan Africa
The moderator–mediator variable distinction in social psychological research
The moderator-mediator variable distinction in social psychological research
Effect Analysis in Structural-Equation Models II
Path Analysis
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |