Econometric causality: The central role of thought experiments

James Heckman and Rodrigo Pinto

Journal of Econometrics, 2024, vol. 243, issue 1

Abstract: This paper examines the econometric causal model and the interpretation of empirical evidence based on thought experiments that was developed by Ragnar Frisch and Trygve Haavelmo. We compare the econometric causal model with two currently popular causal frameworks: the Neyman–Rubin causal model and the Do-Calculus. The Neyman–Rubin causal model is based on the language of potential outcomes and was largely developed by statisticians. Instead of being based on thought experiments, it takes statistical experiments as its foundation. The Do-Calculus, developed by Judea Pearl and co-authors, relies on Directed Acyclic Graphs (DAGs) and is a popular causal framework in computer science and applied mathematics. We make the case that economists who uncritically use these frameworks often discard the substantial benefits of the econometric causal model to the detriment of more informative analyses. We illustrate the versatility and capabilities of the econometric framework using causal models developed in economics.

Keywords: Structural equation models; Causality; Causal inference; Directed acyclic graphs; Simultaneous causality (search for similar items in EconPapers)
JEL-codes: C10 C18 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Related works:
Working Paper: Econometric Causality: The Central Role of Thought Experiments (2023)
Working Paper: Econometric Causality: The Central Role of Thought Experiments (2023)
Working Paper: Econometric Causality: The Central Role of Thought Experiments (2023)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:econom:v:243:y:2024:i:1:s0304407624000654

DOI: 10.1016/j.jeconom.2024.105719

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