The Inexact and Separate Science of Economics

Cambridge University Press (1992)
  Copy   BIBTEX

Abstract

This book offers a comprehensive overview of the structure, strategy and methods of assessment of orthodox theoretical economics. In Part I Professor Hausman explains how economists theorise, emphasising the essential underlying commitment of economists to a vision of economics as a separate science. In Part II he defends the view that the basic axioms of economics are 'inexact' since they deal only with the 'major' causes; unlike most writers on economic methodology, the author argues that it is the rules that economists espouse rather than their practice that is at fault. Part III links the conception of economics as a separate science to the fact that economic theories offer reasons and justifications for human actions, not just their causes. With its lengthy appendix introducing relevant issues in philosophy of science, this book is a major addition to philosophy of economics and of social science.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,139

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

John Stuart mill's philosophy of economics.Daniel M. Hausman - 1981 - Philosophy of Science 48 (3):363-385.
Philosophy of economics.Daniel M. Hausman - 2008 - Stanford Encyclopedia of Philosophy.
Economics and reality.Tony Lawson - 1997 - New York: Routledge.
Economic Methodology: An Inquiry.Sheila C. Dow - 2002 - Oxford University Press UK.

Analytics

Added to PP
2009-06-15

Downloads
71 (#219,529)

6 months
6 (#349,140)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Daniel Hausman
University of Wisconsin, Madison

Citations of this work

Model Pluralism.Walter Veit - 2019 - Philosophy of the Social Sciences 50 (2):91-114.
Modeling Morality.Walter Veit - 2019 - In Matthieu Fontaine, Cristina Barés-Gómez, Francisco Salguero-Lamillar, Lorenzo Magnani & Ángel Nepomuceno-Fernández (eds.), Model-Based Reasoning in Science and Technology: Inferential Models for Logic, Language, Cognition and Computation. Springer Verlag. pp. 83–102.
How could models possibly provide how-possibly explanations?Philippe Verreault-Julien - 2019 - Studies in History and Philosophy of Science Part A 73:1-12.

View all 172 citations / Add more citations

References found in this work

No references found.

Add more references