Rescuing Econometrics - Couverture souple
Livre 25 sur 27: Routledge INEM Advances in Economic Methodology
Synopsis
Haavelmo's The Probability Approach in Econometrics is 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.
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À propos de l?auteur
Duo Qin is Emeritus Professor of Economics at SOAS, University of London.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Rescuing Econometrics : From the Probability Approach to Probably Approximately Correct Learning
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Rescuing Econometrics (Paperback)
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Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032586079
ISBN 13 : 9781032586076
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Paperback. Etat : new. Paperback. Haavelmos 1944 monograph, The Probability Approach in Econometrics, is widely acclaimed as the manifesto of econometrics. This book challenges Haavelmos 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 Haavelmos 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 Econometrics should therefore renounce its outdated foundation, and rebuild itself upon PAC learning theory so as to unleash its pent-up research potential.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. Haavelmos The Probability Approach in Econometrics is acclaimed as the manifesto of econometrics. This book challenges Haavelmos 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781032586076
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Rescuing Econometrics : From the Probability Approach to Probably Approximately Correct Learning
Edité par
Routledge, 2025
ISBN 10 : 1032586079
ISBN 13 : 9781032586076
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Rescuing Econometrics: From the Probability Approach to Probably Approximately Correct Learning (Routledge INEM Advances in Economic Methodology)
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Rescuing Econometrics
Edité par
Taylor and Francis Ltd, GB, 2025
ISBN 10 : 1032586079
ISBN 13 : 9781032586076
Neuf
Paperback
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. 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. N° de réf. du vendeur LU-9781032586076
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Rescuing Econometrics
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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9781032586076
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Rescuing Econometrics: From the Probability Approach to Probably Approximately Correct Learning (Routledge INEM Advances in Economic Methodology)
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Rescuing Econometrics : From the Probability Approach to Probably Approximately Correct Learning
Edité par
Routledge, 2025
ISBN 10 : 1032586079
ISBN 13 : 9781032586076
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 50072814
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