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.
Keywords
Related Publications
Consequences of prejudice against the null hypothesis.
The consequences of prejudice against accepting the null hypothesis were examined through (a) a mathematical model intended to stimulate the research-publication process and (b)...
A New Approach to the Problem of Multiple Comparisons in the Genetic Dissection of Complex Traits
Abstract Saturated genetic marker maps are being used to map individual genes affecting quantitative traits. Controlling the “experimentwise” type-I error severely lowers power ...
The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis
We consider the null hypothesis that a time series has a unit root with possibly nonzero drift against the alternative that the process is «trend-stationary». The interest is th...
Entrepreneurship: Productive, Unproductive, and Destructive
The basic hypothesis is that, while the total supply of entrepreneurs varies among societies, the productive contribution of the society's entrepreneurial activities varies much...
Testing a Point Null Hypothesis: The Irreconcilability of<i>P</i>Values and Evidence
Abstract The problem of testing a point null hypothesis (or a "small interval" null hypothesis) is considered. Of interest is the relationship between the P value (or observed s...
Publication Info
- Year
- 1992
- Type
- article
- Volume
- 100
- Issue
- 6
- Pages
- 1257-1272
- Citations
- 301
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1086/261860