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

John Howard Finch, Robert 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.

    Original languageEnglish
    Pages (from-to)753-772
    Number of pages19
    JournalCambridge Journal of Economics
    Volume26
    Issue number6
    DOIs
    Publication statusPublished - Nov 2002

    Keywords

    • theoretical development
    • formalism
    • categorical variables
    • non-parametric statistics
    • critical realism
    • interpretivism
    • INSTITUTIONAL ECONOMICS
    • CRITICAL REALISM
    • FORMALISM
    • ECONOMETRICS
    • SCIENCE

    Cite this

    On categorical variables and non-parametric statistical inference in the pursuit of causal explanations. / Finch, John Howard; McMaster, Robert.

    In: Cambridge Journal of Economics, Vol. 26, No. 6, 11.2002, p. 753-772.

    Research output: Contribution to journalArticle

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