Mostly harmless econometrics? Statistical paradigms in the ‘top five’ from 2000 to 2018

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Mostly harmless econometrics? Statistical paradigms in the ‘top five’ from 2000 to 2018. / Engler, John Oliver; Beeck, Julius J.; von Wehrden, Henrik.
in: Journal of Economic Methodology, 03.03.2025.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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@article{6dbbac8ea0704ae196edc46cf7e3548c,
title = "Mostly harmless econometrics? Statistical paradigms in the {\textquoteleft}top five{\textquoteright} from 2000 to 2018",
abstract = "We explore the connection between four major inferential paradigms in statistical science and inferential practice in current econometrics. We develop the argument that econometrics is still largely characterized by John Stuart Mill{\textquoteright}s conception of statistical inference from data, who saw a distinction between {\textquoteleft}theorists{\textquoteright} and {\textquoteleft}practical men{\textquoteright}. We follow up with a review of all empirical papers published in the Top 5 economics journals in the period 2000–2018 (N = 2,258). In spite of Rodrik{\textquoteright}s [(2015). Economics rules: The rights and wrongs of the dismal science. W. W. Norton & Company] much-debated notion of economics that sees issues of model selection at the core of the discipline, the {\textquoteleft}theory first{\textquoteright} / {\textquoteleft}pre-eminence of theory{\textquoteright} approach vastly dominates in the sample (94.0%). When model selection and model uncertainty is accounted for, this largely happens under the frequentist statistical paradigm. This finding may be explained by frequentism{\textquoteright}s special role as an {\textquoteleft}orientational paradigm{\textquoteright} (Hoyningen-Huene and Kincaid, [2023]. What makes economics special: Orientational paradigms. Journal of Economic Methodology, 30(2), 188–202) in economics.",
keywords = "Bayesianism, econometrics, frequentism, likelihoodism, paradigm, philosophy of science, Sustainability sciences, Management & Economics, Sustainability Science, Sustainability Governance",
author = "Engler, {John Oliver} and Beeck, {Julius J.} and {von Wehrden}, Henrik",
note = "Publisher Copyright: {\textcopyright} 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.",
year = "2025",
month = mar,
day = "3",
doi = "10.1080/1350178X.2025.2468462",
language = "English",
journal = "Journal of Economic Methodology",
issn = "1350-178X",
publisher = "Routledge Taylor & Francis Group",

}

RIS

TY - JOUR

T1 - Mostly harmless econometrics? Statistical paradigms in the ‘top five’ from 2000 to 2018

AU - Engler, John Oliver

AU - Beeck, Julius J.

AU - von Wehrden, Henrik

N1 - Publisher Copyright: © 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

PY - 2025/3/3

Y1 - 2025/3/3

N2 - We explore the connection between four major inferential paradigms in statistical science and inferential practice in current econometrics. We develop the argument that econometrics is still largely characterized by John Stuart Mill’s conception of statistical inference from data, who saw a distinction between ‘theorists’ and ‘practical men’. We follow up with a review of all empirical papers published in the Top 5 economics journals in the period 2000–2018 (N = 2,258). In spite of Rodrik’s [(2015). Economics rules: The rights and wrongs of the dismal science. W. W. Norton & Company] much-debated notion of economics that sees issues of model selection at the core of the discipline, the ‘theory first’ / ‘pre-eminence of theory’ approach vastly dominates in the sample (94.0%). When model selection and model uncertainty is accounted for, this largely happens under the frequentist statistical paradigm. This finding may be explained by frequentism’s special role as an ‘orientational paradigm’ (Hoyningen-Huene and Kincaid, [2023]. What makes economics special: Orientational paradigms. Journal of Economic Methodology, 30(2), 188–202) in economics.

AB - We explore the connection between four major inferential paradigms in statistical science and inferential practice in current econometrics. We develop the argument that econometrics is still largely characterized by John Stuart Mill’s conception of statistical inference from data, who saw a distinction between ‘theorists’ and ‘practical men’. We follow up with a review of all empirical papers published in the Top 5 economics journals in the period 2000–2018 (N = 2,258). In spite of Rodrik’s [(2015). Economics rules: The rights and wrongs of the dismal science. W. W. Norton & Company] much-debated notion of economics that sees issues of model selection at the core of the discipline, the ‘theory first’ / ‘pre-eminence of theory’ approach vastly dominates in the sample (94.0%). When model selection and model uncertainty is accounted for, this largely happens under the frequentist statistical paradigm. This finding may be explained by frequentism’s special role as an ‘orientational paradigm’ (Hoyningen-Huene and Kincaid, [2023]. What makes economics special: Orientational paradigms. Journal of Economic Methodology, 30(2), 188–202) in economics.

KW - Bayesianism

KW - econometrics

KW - frequentism

KW - likelihoodism

KW - paradigm

KW - philosophy of science

KW - Sustainability sciences, Management & Economics

KW - Sustainability Science

KW - Sustainability Governance

UR - http://www.scopus.com/inward/record.url?scp=86000261294&partnerID=8YFLogxK

U2 - 10.1080/1350178X.2025.2468462

DO - 10.1080/1350178X.2025.2468462

M3 - Journal articles

AN - SCOPUS:86000261294

JO - Journal of Economic Methodology

JF - Journal of Economic Methodology

SN - 1350-178X

ER -

DOI