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Kategorie szczegółowe BISAC

False Feedback in Economics: The Case for Replication

ISBN-13: 9781032033723 / Angielski / Miękka / 2023 / 148 str.

Andrin Spescha
False Feedback in Economics: The Case for Replication Andrin Spescha 9781032033723 Routledge - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

False Feedback in Economics: The Case for Replication

ISBN-13: 9781032033723 / Angielski / Miękka / 2023 / 148 str.

Andrin Spescha
cena 195,06 zł
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This book investigates why economics makes less visible progress over time than scientific fields with a strong practical component, where interactions with physical technologies play a key role. The thesis of the book is that the main impediment to progress in economics is "false feedback", which it defines as the false result of an empirical study, such as empirical evidence produced by a statistical model that violates some of its assumptions. In contrast to scientific fields that work with physical technologies, false feedback is hard to recognize in economics. Economists thus have difficulties knowing where they stand in their inquiries, and false feedback will regularly lead them in the wrong directions.The book searches for the reasons behind the emergence of false feedback. It thereby contributes to a wider discussion in the field of metascience about the practices of researchers when pursuing their daily business. The book thus offers a case study of metascience for the field of empirical economics.The main strength of the book are the numerous smaller insights it provides throughout. The book delves into deep discussions of various theoretical issues, which it illustrates by many applied examples and a wide array of references, especially to philosophy of science. The book puts flesh on complicated and often abstract subjects, particularly when it comes to controversial topics such as p-hacking.The reader gains an understanding of the main challenges present in empirical economic research and also the possible solutions. The main audience of the book are all applied researchers working with data and, in particular, those who have found certain aspects of their research practice problematic.

This book investigates why economics makes less visible progress over time than scientific fields with a strong practical component, where interactions with physical technologies play a key role. The thesis of the book is that the main impediment to progress in economics is "false feedback", which it defines as the false result of an empirical study, such as empirical evidence produced by a statistical model that violates some of its assumptions. In contrast to scientific fields that work with physical technologies, false feedback is hard to recognize in economics. Economists thus have difficulties knowing where they stand in their inquiries, and false feedback will regularly lead them in the wrong directions.

The book searches for the reasons behind the emergence of false feedback. It thereby contributes to a wider discussion in the field of metascience about the practices of researchers when pursuing their daily business. The book thus offers a case study of metascience for the field of empirical economics.

The main strength of the book are the numerous smaller insights it provides throughout. The book delves into deep discussions of various theoretical issues, which it illustrates by many applied examples and a wide array of references, especially to philosophy of science. The book puts flesh on complicated and often abstract subjects, particularly when it comes to controversial topics such as p-hacking.

The reader gains an understanding of the main challenges present in empirical economic research and also the possible solutions. The main audience of the book are all applied researchers working with data and, in particular, those who have found certain aspects of their research practice problematic.

Kategorie:
Nauka, Ekonomia i biznes
Kategorie BISAC:
Business & Economics > Ekonometria
Business & Economics > Research & Development
Business & Economics > Statystyka gospodarcza
Wydawca:
Routledge
Seria wydawnicza:
Routledge Studies in Economic Theory, Method and Philosophy
Język:
Angielski
ISBN-13:
9781032033723
Rok wydania:
2023
Dostępne języki:
Numer serii:
001192772
Ilość stron:
148
Oprawa:
Miękka
Dodatkowe informacje:
Wydanie ilustrowane

1. Scientific Progress 2. Trial and Error 3. Conjectures and falsification 4. The garden of forking paths 5. The Duhem-Quine thesis 6. The detection of patterns 7. The illusion of true feedback 8. False feedback bubbles 9. The tree of knowledge 10. The locality of knowledge 11. Machine learning and sample splits 12. Practical experience 13. Robustness checks 14. Replication



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