Causality: Effects-of-Causes, Causes-of-Effects, and Question-Design Fit

Causal claims sit at the center of many fields of inquiry, including tourism research, yet causal questions do not all ask the same thing. One class of questions asks what happens when a researcher, manager, or policymaker changes a condition ( effects-of-causes ). Another asks why an observed outcome arose in the first place ( causes-of-effects ). Drawing on causal inference scholarship, this letter distinguishes effects-of-causes from causes-of-effects and argues that conflating them narrows methodological choice and encourages claims that outrun design. Recognizing this distinction widens the methodological landscape of tourism research and allows scholars to employ diverse empirical strategies to investigate causal relationships. The letter sets boundaries around those alternatives by clarifying that no method becomes causal merely through its label and that defensible causal claims still require theory, explicit assumptions, and careful wording. Overall, greater precision about causal questions can strengthen theoretical contribution, sharpen empirical claims, and substantiate practical relevance.

Authors

Publication Details

Journal
Journal of Travel Research
Published
2026-10-17
DOI
https://doi.org/10.1177/00472875261495770
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
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article

Causality: Effects-of-Causes, Causes-of-Effects, and Question-Design Fit

Weng Marc Lim, Seyyed Mostafa Rasoolimanesh
Journal of Travel Research
Advanced Causal Inference Techniques
article

Causality: Effects-of-Causes, Causes-of-Effects, and Question-Design Fit

Weng Marc Lim, Seyyed Mostafa Rasoolimanesh
article en

Abstract

Causal claims sit at the center of many fields of inquiry, including tourism research, yet causal questions do not all ask the same thing. One class of questions asks what happens when a researcher, manager, or policymaker changes a condition ( effects-of-causes ). Another asks why an observed outcome arose in the first place ( causes-of-effects ). Drawing on causal inference scholarship, this letter distinguishes effects-of-causes from causes-of-effects and argues that conflating them narrows methodological choice and encourages claims that outrun design. Recognizing this distinction widens the methodological landscape of tourism research and allows scholars to employ diverse empirical strategies to investigate causal relationships. The letter sets boundaries around those alternatives by clarifying that no method becomes causal merely through its label and that defensible causal claims still require theory, explicit assumptions, and careful wording. Overall, greater precision about causal questions can strengthen theoretical contribution, sharpen empirical claims, and substantiate practical relevance.

Journal of Travel Research
Openalex Percentile: Top 11%
Advanced Causal Inference Techniques
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