Journal of Socio-Economics is a general economics journal whose calling card is its methodological open-mindedness
and a strong commitment to economic rigor and economic or analytical significance as opposed to the simple use of mathematical proofs
and statistical significance.
The JSE welcomes the traditional, more focused, ... click here for full Aims & Scope
Journal of Socio-Economics is a general economics journal whose calling card is its methodological open-mindedness
and a strong commitment to economic rigor and economic or analytical significance as opposed to the simple use of mathematical proofs
and statistical significance.
The JSE welcomes the traditional, more focused, economics research as well as interdisciplinary
discourses that serve to enhance our understanding of the world in which we live, recognizing that the economy is an interactive part
of a larger socio-economic structure. With this in mind, the JSE also welcomes survey articles and suggestions for special topic
issues. The objective of the JSE is to be a forum for theoretical and empirical research (inclusive of case studies, experiments
and simulation based analyses) irrespective of its methodological orientation, that improves our knowledge of the state of the world
past and present as well as enriches our causal understanding of the economy. In light of these objectives, research with a public policy
orientation and literature reviews are also welcome. Articles should be written in a manner that is intelligible to our generalist readership.
Editorial Policy on the Use and of Tests of Statistical Significance for the Journal of Socio-Economics
The Journal
of Socio-Economics welcomes submissions that are empirical in orientation. However, authors should carefully distinguish in their analysis
between the use of statistical and substantive significance. We are most interested in the substantive or analytical significance of
estimated coefficients. As Deirdre McCloskey often asks, how big is your coefficient in terms the scientific conversation at hand? Statistical
significance only provides us with some information on the probability that coefficients estimated from a sample are a matter of chance.
It provides us with no information on the analytical importance of the coefficient. With respect to samples, we are interested in how
the sample is constructed and the probable representativeness of the sample. When the population of a data set is used in ones analysis,
tests of statistical significance provide us with no useful information. Overall, please play particular attention to the substantive
or analytical significance of your statistical analyses. For further information on this matter see, D.N. McCloskey, "The Loss Function
Has Been Mislaid," American Economic Review 75: 201-205 and D.N. McCloskey and S.T Ziliak, "The Standard Error of Regressions," Journal of Economic Literature 34: 97-114.
For more details on the direction of the JSE please refer to this
editorial by Morris Altman, Editor of the Jounral of Socio-Economics.
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M. Altman
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