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Rules for Scientific research in economics

Author

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  • Adolfo Figueroa

    (Departamento de Economia - Pontificia Universidad Catslica del Perz)

Abstract

The new research method presented in this book ensures that all economic theories are falsifiable and that irrefutable theories are scientifically sound. Figueroa combines the logically consistent aspects of Popperian and process epistemologies in his alpha-beta method to address the widespread problem of too-general empirical research methods used in economics. He argues that scientific rules can be applied to economics to make sense of society, but that they must address the complexity of reality as well as the simplicity of the abstract on which hard sciences can rely. Furthermore, because the alpha-beta method combines approaches to address the difficulties of scientifically analyzing complex society, it also extends to other social sciences that have historically relied on empirical methods. This groundbreaking Pivot is ideal for students and researchers dedicated to promoting the progress of scientific research in all social sciences.

Suggested Citation

  • Adolfo Figueroa, 2016. "Rules for Scientific research in economics," Libros no PUCP / Books other publishers, Otras editoriales / Other publishers, edition 1, number otr-2016-03, March.
  • Handle: RePEc:pcp:pucotr:otr-2016-03
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    File URL: https://www.palgrave.com/de/book/9783319305417
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    Cited by:

    1. Kashyap Ravi, 2020. "The Economics of Enlightenment: Time Value of Knowledge and the Net Present Value (NPV) of Knowledge Machines, A Proposed Approach Adapted from Finance," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 20(2), pages 1-23, April.
    2. Luis García & Sara Sánchez, 2020. "Acerca de la relación entre el gasto por alumno y los retornos a la educación en el Perú: un análisis por cohortes," Documentos de Trabajo / Working Papers 2020-482, Departamento de Economía - Pontificia Universidad Católica del Perú.
    3. Carlos A. Abanto-Valle & Gabriel Rodríguez & Hernán B. Garrafa-Aragón, 2020. "Stochastic Volatility in Mean: Empirical Evidence from Stock Latin American Markets," Documentos de Trabajo / Working Papers 2020-481, Departamento de Economía - Pontificia Universidad Católica del Perú.
    4. Vlad NERĂU, 2017. "Science is measurement, yet not all sciences can be evaluated using the same measurement," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(611), S), pages 161-170, Summer.
    5. Kashyap Ravi, 2020. "The Economics of Enlightenment: Time Value of Knowledge and the Net Present Value (NPV) of Knowledge Machines, A Proposed Approach Adapted from Finance," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 20(2), pages 1-23, April.

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