Econometric Causality: The Central Role of Thought Experiments
James Heckman and
Rodrigo Pinto
No 31945, NBER Working Papers from National Bureau of Economic Research, Inc
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.
JEL-codes: C10 C18 (search for similar items in EconPapers)
Date: 2023-12
New Economics Papers: this item is included in nep-hpe
Note: TWP
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Citations: View citations in EconPapers (1)
Published as James Heckman & Rodrigo Pinto, 2024. "Econometric causality: The central role of thought experiments," Journal of Econometrics, .
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Journal Article: Econometric causality: The central role of thought experiments (2024) 
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Working Paper: Econometric Causality: The Central Role of Thought Experiments (2023) 
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