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Abstract

The authors develop an estimator that allows them to calculate an upper bound to the fraction of unrejected null hypotheses tested in economics journal articles that are in fact true. Their point estimate is that none of the unrejected nulls in their sample is true. The authors reject the hypothesis that more than one-third are true. They consider three explanations for this finding: that all null hypotheses are mere approximations, that data-mining biases reported standard errors downward, and that journals tend to publish papers that fail to reject their null hypotheses only when the they are likely to be false. Copyright 1992 by University of Chicago Press.

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Paper provided by University of California at Berkeley, Economics Department in its series J. Bradford De Long's Working Papers with number _117.

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Handle: RePEc:wop:calbec:_117

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1. Lawrence J. Christiano & Martin Eichenbaum, 1989. "Unit Roots in Real GNP: Do We Know, and Do We Care?," NBER Working Papers 3130, National Bureau of Economic Research, Inc.
   
   • Christiano, Lawrence J. & Eichenbaum, Martin, 1990. "Unit roots in real GNP: Do we know, and do we care?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 32(1), pages 7-61, January.
   • Lawrence J. Christiano & Martin Eichenbaum, 1990. "Unit roots in real GNP: do we know, and do we care?," Working Paper Series, Macroeconomic Issues 90-2, Federal Reserve Bank of Chicago.
   • Lawrence J. Christiano & Martin Eichenbaum, 1989. "Unit roots in real GNP: do we know, and do we care?," Discussion Paper / Institute for Empirical Macroeconomics 18, Federal Reserve Bank of Minneapolis.
2. Hendry, David F, 1980. "Econometrics-Alchemy or Science?," Economica, London School of Economics and Political Science, vol. 47(188), pages 387-406, November.

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1. 'All models are wrong, but some models are useful'
   by Stephen in Worthwhile Canadian Initiative on 2006-09-29 14:11:10

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1. Meta-Analysis in Economics

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