Simulating an empirical paper by the rational economist

Martin Paldam

Empirical Economics, 2016, vol. 50, issue 4, No 10, 1383-1407

Abstract: Abstract Papers in economics often try to find the ‘best’ estimate of a parameter. If researchers behave as predicted by economic theory, the research process can be modeled and simulated. The ‘best’ estimate is selected from $$J$$ J regression experiments by a selection rule, SR, which gives the researcher’s preferences for the fit (significance) and size of the estimated parameter. Eight $$J$$ J s and five SRs are considered. To find a stable pattern for all 40 cases, 70 million regressions are simulated. The key results are: (1) All rational SRs cause the selected estimate to be substantially biased in the direction of the priors of the researcher. (2) All such rules give almost the same bias. It can be assessed from a set of estimates, and (3) the standard PET estimate of the meta-average reduces the bias by more than 90 %.

Keywords: Meta-analysis; Selection of regressions; Publication bias (search for similar items in EconPapers)
JEL-codes: B4 C2 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s00181-015-0971-6

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