The author asserts that the main impediment to progress in economics is â false feedbackâ , which is defined as a false result in an empirical study, such as empirical evidence produced by a statistical model that violates some of its assumptions.
The author asserts that the main impediment to progress in economics is â false feedbackâ , which is defined as a false result in an empirical study, such as empirical evidence produced by a statistical model that violates some of its assumptions.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
Produktdetails
Routledge Studies in Economic Theory, Method and Philosophy
Andrin Spescha is a postdoctoral researcher at ETH Zurich, KOF Swiss Economic Institute, Zurich, Switzerland. He received his PhD from ETH Zurich (Dr. sc. ETH) in 2018. Prior to this, he completed a Bachelor of Arts in Political Sciences and Economics and a Master of Arts in Economics at the University of Zurich, Switzerland.
Inhaltsangabe
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
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
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
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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