The rhetoric of ‘Signifying nothing’: a rejoinder to Ziliak and McCloskey

Hoover, Kevin D.; Siegler, Mark V.

doi:10.1080/13501780801913546

Cited by 20 publications

(7 citation statements)

References 7 publications

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“…All in all the positive spillover effects 45 Different points of view on this topic are discussed in Altman 2004;DeLong and Lang 1992;Engsted 2009;Gigerenzer 2004;Hoover and Siegler 2008;Kraemer 2011;Mayer 2012;McCloskey and Ziliak 1996;Ziliak and McCloskey 2004;2008. generated by the island of excellency established after 1990 seem to be rather limited.…”

Section: Resultsmentioning

confidence: 99%

Ceremonial science: The state of Russian economics seen through the lens of the work of ‘Doctor of Science’ candidates

Libman

Zweynert

2014

Economic Systems

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Section: Resultsmentioning

confidence: 99%

Ceremonial science: The state of Russian economics seen through the lens of the work of ‘Doctor of Science’ candidates

Libman

Zweynert

2014

Economic Systems

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“…It cannot be an 'open debate' when, according to McCloskey, many econometricians agree, in private, that the distinction is important, but repeatedly fail to mention it in print. It took more than 2 decades before there was even one major published comment about her argument (Hoover/Siegler 2008a;2008b; see also the reply by McCloskey/Ziliak 2008). Of course, it could be argued that, on balance, this rather belated conversation has indeed made economics more productive, but can this really be the case if it is true that 'all the econometric findings since the 1930s need to be done over again' (McCloskey/Ziliak 2008: 47)?…”

Section: Paradigms Their Reappearance and Economic Rhetoricmentioning

confidence: 99%

On economic paradigms, rhetoric and the micro-foundations of macroeconomics

McCombie

Negru

2014

EJEEP

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This paper considers from a methodological point of view why disputes in macroeconomics over its fundamental assumptions regularly occur. It analyses the problem first using Kuhn's concept of the paradigm and then draws on McCloskey's use of rhetorical analysis. It finds the latter of limited help due to the problem of incommensurability between paradigms. It concludes with a discussion of the debate over the need for rethinking the issue and rigour of micro-foundations in macroeconomic theory, notably in terms of the representative agent model.

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“…Critics responded (Engsted, 2009;Hoover & Siegler, 2008aSpanos, 2008). Ziliak and McCloskey, and their critic Spanos, imply the raw-scale magnitudes of parameters are relevant to hypothesis testing.…”

Section: Introductionmentioning

confidence: 99%

Understanding Statistical Testing

Veazie

2015

Sage Open

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Statistical hypothesis testing is common in research, but a conventional understanding sometimes leads to mistaken application and misinterpretation. The logic of hypothesis testing presented in this article provides for a clearer understanding, application, and interpretation. Key conclusions are that (a) the magnitude of an estimate on its raw scale (i.e., not calibrated by the standard error) is irrelevant to statistical testing; (b) which statistical hypotheses are tested cannot generally be known a priori; (c) if an estimate falls in a hypothesized set of values, that hypothesis does not require testing; (d) if an estimate does not fall in a hypothesized set, that hypothesis requires testing; (e) the point in a hypothesized set that produces the largest p value is used for testing; and (f) statistically significant results constitute evidence, but insignificant results do not and must not be interpreted as evidence for or against the hypothesis being tested.

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The rhetoric of ‘Signifying nothing’: a rejoinder to Ziliak and McCloskey

Cited by 20 publications

References 7 publications

Ceremonial science: The state of Russian economics seen through the lens of the work of ‘Doctor of Science’ candidates

Ceremonial science: The state of Russian economics seen through the lens of the work of ‘Doctor of Science’ candidates

On economic paradigms, rhetoric and the micro-foundations of macroeconomics

Understanding Statistical Testing

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