Sound and fury: McCloskey and significance testing in economics

@article{Hoover2008SoundAF,
  title={Sound and fury: McCloskey and significance testing in economics},
  author={Kevin D. Hoover and Mark V. Siegler},
  journal={Journal of Economic Methodology},
  year={2008},
  volume={15},
  pages={1 - 37}
}
For more than 20 years, Deidre McCloskey has campaigned to convince the economics profession that it is hopelessly confused about statistical significance. She argues that many practices associated with significance testing are bad science and that most economists routinely employ these bad practices: ‘Though to a child they look like science, with all that really hard math, no science is being done in these and 96 percent of the best empirical economics …’ (McCloskey 1999). McCloskey's charges… Expand
Reviews: The Cult of Statistical Significance: How the Standard Error Cost us Jobs, Justice and Live, the Power of Words in International Relations: Birth of an Anti-Whaling Discourse
Deirdre McCloskey and Stephen Ziliak have for some time been conducting a campaign against some economists' almost total reliance on significance tests in their evaluations of statistical analyses.Expand
Signifying nothing: reply to Hoover and Siegler
After William Gosset (1876–1937), the ‘Student’ of Student's t, the best statisticians have distinguished economic (or agronomic or psychological or medical) significance from merely statisticalExpand
So what? Beyond statistical significance to substantive significance in strategy research
Purpose: The purpose of the paper is twofold: first, to examine whether the progress of strategic management research has been damaged by an excessive focus on statistical significance to theExpand
The Cult of Statistical Significance
We want to persuade you of one claim: that William Sealy Gosset (1876-1937)—aka "Student" of "Student's" t-test—was right, and that his difficult friend, Ronald A. Fisher (1890-1962), though aExpand
The Harm Done to Reproducibility by the Culture of Null Hypothesis Significance Testing.
  • T. Lash
  • Psychology, Medicine
  • American journal of epidemiology
  • 2017
TLDR
Without discarding the culture of null hypothesis significance testing and implementing these alternative methods for statistical analysis and inference, all other strategies for improving reproducibility will yield marginal gains at best. Expand
Big Questions and ??Poor Economics??: Banerjee and Duflo on Schooling in Developing Countries
In Poor Economics, MIT professors Abhijit Banerjee and Esther Duflo set out their solutions for global poverty. Their key premise is that development experts have been sidetracked by the “bigExpand
Naturalism and the Nature of Economic Evidence
There has been much interesting work done in the philosophy and social studies of science on the role of evidence within science. That work tries to avoid the extremes of radical socialExpand
Theory testing (hypothesis testing) in agricultural economics
According to Karl Popper, economics and agricultural economics should be deemed scientific if the theories (hypotheses) are subject to strict tests. The testing of agro-economic theories goes back 50Expand
The Role of Hypothesis Testing in the Molding of Econometric Models
TLDR
The role of specification tests in the selection of a statistically admissible model used to evaluate economic hypotheses is addressed in the context of recent philosophical accounts on the nature of models and related to some results in the literature on specification search. Expand
Reconsideration of Dimensions and Curve Fitting Practice in View of Georgescu-Roegen’s Epistemology in Economics
This paper is to examine the proper use of dimensions and curve fitting practices elaborating on Georgescu-Roegen’s economic methodology in relation to the three main concerns of his epistemologicalExpand
...
1
2
3
...

References

SHOWING 1-10 OF 107 REFERENCES
Size Matters: The Standard Error of Regressions in the American Economic Review
Significance testing as used has no theoretical justification. Our article in the Journal of Economic Literature (1996) showed that of the 182 full-length papers published in the 1980s in theExpand
Knowledge and Persuasion in Economics
Is economics a science? Deidre McCloskey says 'Yes, but'. Yes, economics measures and predicts, but - like other sciences - it uses literary methods too. Economists use stories as geologists do, andExpand
How to be Human*: *Though an Economist
In this thoroughly engaging book Deirdre McCloskey puts the "dismal science" under the microscope. She offers advice to young economists, offering models from the old; and she lambastes theExpand
Evaluating significance: comments on "size matters"
Abstract The authors argue that economics as a science is held back through the use of “asterisk” reporting. We concur that many authors do a poor job at disseminating their results, however considerExpand
Probability, econometrics and truth
When John Maynard Keynes likened Jan Tinbergen's early work in econometrics to black magic and alchemy, he was expressing a widely held view of a new discipline. However, even after half a century ofExpand
On theory testing in econometrics : Modeling with nonexperimental data
TLDR
The roots of the traditional textbook approach to econometric modeling are traced to two older statistical traditions, Fisher's experimental design paradigm and Gauss's ‘theory of errors’, and it is argued that this approach is ill-suited for nonexperimental (observational) data. Expand
The Philosophy of Economics: Econometrics as Observation: The Lucas Critique and the Nature of Econometric Inference
Kevin Hoover (1955–) received a D.Phil. in economics from Oxford University after an undergraduate major in philosophy, and his work reflects this dual competence. He has contributed both toExpand
Monetarism and the Methodology of Economics: Essays in Honour of Thomas Mayer
Part 1 Reflections: Thomas Mayer: an appreciation, Kevin D. Hoover and Steven M. Sheffrin getting older, but not much wiser, Thomas Mayer. Part 2 Monetarism: monetarism - the good, the bad and theExpand
Let's Take the Con Out of Econometrics
Econometricians would like to project the image of agricultural experimenters who divide a farm into a set of smaller plots of land and who select randomly the level of fertilizer to be used on eachExpand
Three attitudes towards data mining
'Data mining' refers to a broad class of activities that have in common, a search over different ways to process or package data statistically or econometrically with the purpose of making the finalExpand
...
1
2
3
4
5
...