Data and Code for "Statistical Non-Significance in Empirical Economics"

Principal Investigator(s):  View help for Principal Investigator(s) Alberto Abadie, MIT

Version:  View help for Version V1

Name File Type Size Last Modified
README.pdf application/pdf 221.7 KB 12/17/2019 08:52:AM
ReplicationEconComplete.csv text/csv 1.4 KB 12/16/2019 11:35:AM
clean_econ_replication_data.m text/x-objcsrc 2.2 KB 12/16/2019 11:35:AM
econ_experiments_data.csv text/csv 929 bytes 12/16/2019 11:36:AM
figure1.m text/x-objcsrc 976 bytes 12/16/2019 09:29:AM
figure2.m text/x-objcsrc 1.8 KB 12/16/2019 11:36:AM
figure3.m text/x-objcsrc 140 bytes 01/10/2018 04:09:PM
figure4.m text/x-objcsrc 1.3 KB 12/16/2019 11:37:AM
figureA1.m text/x-objcsrc 899 bytes 12/16/2019 11:37:AM
figureA2.m text/x-objcsrc 3.1 KB 02/28/2018 04:44:AM

Project Citation: 

Abadie, Alberto. Data and Code for “Statistical Non-Significance in Empirical Economics.” Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-05-28. https://doi.org/10.3886/E115087V1

Project Description

Summary:  View help for Summary Statistical significance is often interpreted as providing greater information than non-significance. In this article we show, however, that rejection of a point null often carries very little information, while failure to reject may be highly informative. This is particularly true in empirical contexts that are common in economics, where data sets are large and there are rarely reasons to put substantial prior probability on a point null. Our results challenge the usual practice of conferring point null rejections a higher level of scientific significance than non-rejections. Therefore, we advocate visible reporting and discussion of non-significant results.

Scope of Project

JEL Classification:  View help for JEL Classification
      C11 Bayesian Analysis: General
      C12 Hypothesis Testing: General
      C18 Methodological Issues: General
Data Type(s):  View help for Data Type(s) experimental data


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V1 [2020-05-28]

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