Description

Contributors to this special supplement explore the history of statistical inference, led by two motivations. One was the belief that John Maynard Keynes’s distinction between the descriptive and the inductive function of statistical research provided a fruitful framework for understanding empirical research practices. The other was an aim to fill a gap in the history of economics by exploring an important part of the story left out of existing histories of empirical analysis in economics—namely “sinful” research practices that did not meet or point towards currently reigning standards of scientific research.

Exploring the History of Statistical Inference in Economics

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Paperback / softback by Jeff E. Biddle , Marcel Boumans

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Contributors to this special supplement explore the history of statistical inference, led by two motivations. One was the belief that... Read more

    Publisher: Duke University Press
    Publication Date: 10/12/2021
    ISBN13: 9781478017356, 978-1478017356
    ISBN10: 147801735X

    Number of Pages: 332

    Non Fiction , Business, Finance & Law

    Description

    Contributors to this special supplement explore the history of statistical inference, led by two motivations. One was the belief that John Maynard Keynes’s distinction between the descriptive and the inductive function of statistical research provided a fruitful framework for understanding empirical research practices. The other was an aim to fill a gap in the history of economics by exploring an important part of the story left out of existing histories of empirical analysis in economics—namely “sinful” research practices that did not meet or point towards currently reigning standards of scientific research.

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