Edited by Bernard Fingleton
Paul Plummer and Eric Sheppard 9.1 INTRODUCTION Econometricians conceptualize (the economic) system as a complex, non-linear, interdependent, multivariate, disequilibrium dynamical process dependent on agents’ expectations and their adjustments, subject to random shocks, and involving many phenomena that are unobservable; relevant time-series data are inaccurate and exist for only short periods and for a few major variables; economic theories are highly simpliﬁed abstractions usually of a comparative statics form invoking many explicit ceteris paribus clauses (with yet others implicitly required), most of which are invalid in empirical applications – little wonder that our macroeconomic representations are less than perfect. David Hendry, (1980, p. 399) Econometrics – Alchemy or Science Compared with the situation faced by economic geographers, econometricians get oﬀ lightly. We would add to the above list: problems of spatial interdependencies and spatial heterogeneity; theories that range across many more disciplines than economics and that cannot be reduced to agents’ behaviour; the additional challenges of constructing spatio-temporal data sets; and a lack of disciplinary consensus on ontology, epistemology and methodology. In this chapter, we take up this challenge by investigating what it means to carry out spatial modelling in contemporary economic geography. Speciﬁcally, we focus on the challenges posed by the complexity of spatio-temporal dynamics for our understanding of the evolving economic landscape. We highlight the ways in which competing conceptions of the capitalist space economy handle this complexity in terms of both bridging the gap between theory and model (analytical adequacy) and in terms of bringing observation to bear...
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