Arbeitspapier

Causality and Econometrics

This paper examines the econometric causal model for policy analysis developed by the seminal ideas of Ragnar Frisch and Trygve Haavelmo. We compare the econometric causal model with two popular causal frameworks: Neyman-Holland causal model and the do-calculus. The Neyman-Holland causal model is based on the language of potential outcomes and was largely developed by statisticians. 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. We make the case that economists who uncritically use these approximating frameworks often discard the substantial benefits of the econometric causal model to the detriment of more informative economic policy analyses. We illustrate the versatility and capabilities of the econometric framework using causal models that are frequently studied by economists.

Sprache
Englisch

Erschienen in
Series: IZA Discussion Papers ; No. 15081

Klassifikation
Wirtschaft
Econometric and Statistical Methods and Methodology: General
Methodological Issues: General
Thema
policy analysis
econometric models
causality
identification
causal calculus
directed acyclic graphs
simultaneous treatment effects

Ereignis
Geistige Schöpfung
(wer)
Heckman, James J.
Pinto, Rodrigo
Ereignis
Veröffentlichung
(wer)
Institute of Labor Economics (IZA)
(wo)
Bonn
(wann)
2022

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Heckman, James J.
  • Pinto, Rodrigo
  • Institute of Labor Economics (IZA)

Entstanden

  • 2022

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