Rescuing Econometrics: From the Probability Approach to Probably Approximately Correct Learning

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Duo Qin

Rescuing Econometrics

From the Probability Approach to Probably Approximately Correct Learning

Duo Qin

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Paperback

Forthcoming
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English

Routledge
27 May 2025

Social & political philosophy; Economic theory & philosophy; Macroeconomics; Microeconomics; Econometrics

Series: Routledge INEM Advances in Economic Methodology

Haavelmo’s 1944 monograph, The Probability Approach in Econometrics, is widely acclaimed as the manifesto of econometrics. This book challenges Haavelmo’s probability approach, shows how its use is delivering defective and inefficient results, and argues for a paradigm shift in econometrics towards a full embrace of machine learning, with its attendant benefits.

Machine learning has only come into existence over recent decades, whereas the universally accepted and current form of econometrics has developed over the past century. A comparison between the two is, however, striking. The practical achievements of machine learning significantly outshine those of econometrics, confirming the presence of widespread inefficiencies in current econometric research. The relative efficiency of machine learning is based on its theoretical foundation, and particularly on the notion of Probably Approximately Correct (PAC) learning. Careful examination reveals that PAC learning theory delivers the goals of applied economic modelling research far better than Haavelmo’s probability approach. Econometrics should therefore renounce its outdated foundation, and rebuild itself upon PAC learning theory so as to unleash its pent-up research potential. The book is catered for applied economists, econometricians, economists specialising in the history and methodology of economics, advanced students, philosophers of social sciences.

By: Duo Qin
Imprint: Routledge
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
ISBN: 9781032586076
ISBN 10: 1032586079
Series: Routledge INEM Advances in Economic Methodology
Pages: 100
Publication Date: 27 May 2025
Audience: College/higher education , Primary
Format: Paperback
Publisher's Status: Forthcoming

1. Abstract Modelling of Reality 2. Learnability of Economic Relations 3. Basic Functions of Probability in Econometrics 4. Roles of Hypothesis Testing and Economic Model Formulation 5. Problems and Potentials of Estimation 6. Cognitive Problems of Prediction

Duo Qin is Emeritus Professor of Economics at SOAS, University of London.