False Feedback in Economics

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A01=Andrin Spescha
applied econometrics
applied microeconomics
Author_Andrin Spescha
auxiliary hypotheses
Category=GPS
Category=KCH
Category=PBWH
challenges in economic data analysis
data mining
Duhem Quine Thesis
Econometric Model
Economic literature
economic methodology
Economic theories
Empirical economics
Empirical Feedback
empirical research methods
Empirical Strategy
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
False Feedback
false feedback economics
Follow
Forking Paths
garden of forking paths
Holds
Keynesian economics
Machine Learning Model
metascience in economics
Modus Tollens
Multiple Comparisons Corrections
open science
p-hacking
p-hacking detection
philosophy of science
Practical Tasks
Pre-analysis Plan
Questionable Research Practices
Regression Discontinuity Design
replication
Researcher Degrees
researcher degrees of freedom
Robustness Checks
robustness testing
Silent Steps
statistical model assumptions
Statistical Noise
Statistically Significant Results
trial and error
True Feedback
Vice Versa
Violated

Product details

  • ISBN 9781032033723
  • Weight: 290g
  • Dimensions: 156 x 234mm
  • Publication Date: 09 Jan 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

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.

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