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Methodology in Practice: Statistical Misspecification Testing
4 references·16 citing·38 second hop
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(1994)Learning From Testimony on Quantitative Research in Management (2019)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets (1965)THE VALUATION OF RISK ASSETS AND THE SELECTION OF RISKY INVESTMENTS IN STOCK PORTFOLIOS AND CAPITAL BUDGETS**This paper is another in a series of interrelated theoretical and statistical studies of corporate financial and investment policies being made under grants from the Rockefeller Foundation, and more recently the Ford Foundation, to the Harvard Business School. The generous support for this work is most gratefully acknowledged. The author is also much indebted to his colleagues Professors Bishop, Christenson, Kahr, Raiffa, and (especially) Schlaifer, for extensive discussion and commentary on an earlier draft of this paper; but responsibility for any errors or imperfections remains strictly his own.[Professor Sharpe's paper, “Capital Asset Prices: A Theory of Market Equilibrium Under Conditions of Risk” (Journal of Finance, September 1964) appeared after this paper was in final form and on its way to the printers. My first section, which parallels the first half of his paper (with corresponding conclusions), sets the algebraic framework for sections II, III and VI, (which have no counterpart in his paper) and for section IV on the equilibrium prices of risk assets, concerning which our results differ significantly for reasons which will be explored elsewhere. 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References

  • 1996Error and the Growth of Experimental Knowledge1,325 cited
  • 1994How to Tell When Simpler, More Unified, or LessAd HocTheories will Provide More Accurate Predictions660 cited
  • 1998Causality in Crisis? Statistical Methods and the Search for Causal Knowledge in the Social Sciences212 cited
  • 1991Novel Evidence and Severe Tests152 cited

Cited by

  • 2007Curve Fitting, the Reliability of Inductive Inference, and the Error-Statistical Approach74 cited
  • 2011A frequentist interpretation of probability for model-based inductive inference48 cited
  • 2010Is Frequentist Testing Vulnerable to the Base-Rate Fallacy?46 cited
  • 2009Theory Testing in Economics and the Error-Statistical Perspective45 cited
  • 2011Error Statistics45 cited
  • 2015Error statistical modeling and inference: Where methodology meets ontology42 cited
  • 2022Statistical significance and its critics: practicing damaging science, or damaging scientific practice?42 cited
  • 2005Peircean Induction and the Error-Correcting Thesis42 cited
  • 2009The Pre-Eminence of Theory versus the European CVAR Perspective in Macroeconometric Modeling41 cited
  • 2008Computer simulation through an error-statistical lens40 cited

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2008
How to Discount Double-Counting When It Counts: Some Clarifications
39 cited
  • 2010Internalist and externalist aspects of justification in scientific inquiry31 cited
  • 2009Science without (parametric) models: the case of bootstrap resampling28 cited
  • 2012Statistical Science Meets Philosophy of Science Part 2: Shallow versus Deep Explorations25 cited
  • 2010The Discovery of Argon: A Case for Learning from Data?25 cited
  • 2012Philosophy of Econometrics22 cited