On categorical variables and non-parametric statistical inference in the pursuit of causal explanations

J.H. Finch, R. McMaster

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

This paper proposes a pragmatic alliance between critical realism and non-parametric statistical techniques in pursuit of causal explanations of economic phenomena by retroductive means. The alliance depends on clarifying the interpretive requirements for forming categories within nominal or classificatory scales or as ordinal or ranking scales. It also depends on establishing the scope of demiregularities, as something to be explained and as something that allows a rough and ready extension of experimental conditions. The roughness and readiness of demiregularities is matched by the assumptions and conditions of non-parametric analysis.
LanguageEnglish
Pages753-772
Number of pages19
JournalCambridge Journal of Economics
Volume26
Issue number6
DOIs
Publication statusPublished - 2002

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Categorical variables
Statistical inference
Alliances
Economics
Nonparametric analysis
Ranking
Readiness
Interpretive
Roughness
Critical realism

Keywords

  • Theoretical development • Formalism • Categorical variables • Non-parametric statistics • Critical realism • Interpretivism

Cite this

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On categorical variables and non-parametric statistical inference in the pursuit of causal explanations. / Finch, J.H.; McMaster, R.

In: Cambridge Journal of Economics, Vol. 26, No. 6, 2002, p. 753-772.

Research output: Contribution to journalArticle

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