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Limits of Empirical Studies in Accounting and Social Sciences: A Constructive Critique from Accounting, Economics and the Law

  • Yuri Biondi EMAIL logo
Published/Copyright: January 21, 2025

Abstract

Many empirical studies in social sciences including accounting, economics and finance apply a mathematical model to fit data in view to infer association between variables, or predict further serial values. Restricted by normal distributions and linear regression analysis, many studies neglect to address (i) the conceptual frame of reference and analysis overarching scientific endeavour (design); and (ii) the relationship between data and the phenomenon under investigation (morphology). This note discusses some consequences of this neglect of design and morphology, by pointing to accounting systems that stand behind data, and the conceptual framework which is needed to back and ground scientific research.

JEL Classification: A12; B41; C80; M41

Corresponding author: Yuri Biondi, Senior Tenured Research Fellow, CNRS, University Paris Dauphine PSL (IRISSO), Paris, France, E-mail:

Acknowledgments

I wish thanking James Ohlson, Jeremy Bertomeu, William Cready, David Johnstone, Sanjay Kallapur and all the symposium participants for thoughtful discussions on these matters. Usual disclaimer applies.

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Received: 2021-09-30
Accepted: 2025-01-10
Published Online: 2025-01-21

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