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The authors provide a way to represent spatial and temporal equilibria in terms of error correction models in a panel setting. This requires potentially two different processes for spatial or network dynamics, both of which can be expressed in terms of spatial weights matrices. The first captures strong cross-sectional dependence, so that a spatial difference, suitably defined, is weakly cross-section dependent (granular) but can be non-stationary. The second is a conventional weights matrix that captures short-run spatio-temporal dynamics as stationary and granular processes. In large samples, cross-section averages serve the first purpose and the authors propose the mean group, common correlated effects estimator together with multiple testing of cross-correlations to provide the short-run spatial weights. The authors apply this model to the 324 local authorities of England, and show that our approach is useful for modeling weak and strong cross-section dependence, together with partial adjustments to two long-run equilibrium relationships and short-run spatio-temporal dynamics. This exercise provides new insights on the (spatial) long-run relationship between house prices and income in the UK.

This paper reviews and assesses the aim, substance, and impact of Simon Susen’s book, “The Postmodern Turn” in the Social Sciences.

The review follows the structure of Susen’s book, by description and by evaluation.

Susen’s book encompasses a very large volume of literature of the self-defined “postmodern,” then concludes that the covered material has contributed little that is new to the social sciences.

The review has not been previously published, does not replicate any prior assessment known to the author.