Studying the effects of intervention programmes on household energy saving behaviours using graphical causal models

2018/08/20 by Nitin Bhushan, Linda Steg, Casper Albers +1 · 2 citations
Economics, Econometrics and Finance · Environmental Science · Mathematics · Medicine · Psychology · #Artificial intelligence #Causal inference #Causality (physics) #Computer science #Econometrics #Economic and Environmental Valuation #Economics #Energy (signal processing) #Energy and Environment Impacts #Environmental Education and Sustainability #Inference #Intervention (counseling) #Mathematics #Medicine #Psychiatry #Psychology #Random assignment #Randomized controlled trial #Statistics

paper · pdf · doi:10.1016/j.erss.2018.07.027

openalex publication_date 2018/08/20 · crossref created 2018/08/20 · crossref issued 2018/11/01 · crossref published 2018/11/01 · crossref published-print 2018/11/01 · crossref deposited 2019/02/27 · openalex created_date 2025/10/10 · crossref indexed 2026/01/15 · openalex updated_date 2026/08/01

Citations

• Observational Research, Randomised Trials, and Two Views of Medical Science
• Endogenous Selection Bias: The Problem of Conditioning on a Collider Variable
• THE SIGNIFICANCE OF LIGHT TRAUMA FOR THE INDUCTION, LOCALIZATION, AND FREQUENCY OF SKIN CANCERS.
• Causal Diagrams for Epidemiologic Research

Cited by

• Self-selection and attrition biases in app-based persuasive technologies for mobility behavior change: Evidence from a Swiss case study
• Persuasive technology [wikipedia]