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100			_aNeal, Zachary P. _938132
245			_aShould I Stay or Should I Go: Predicting Advanced Producer Services Firm Expansion and Contraction
260			_bSage, _c2019.
300			_aVol 42, Issue 2, 2019(207-229 p.)
520			_aThe literature on firm location selection allows us to retrospectively explain why firms did locate in particular places. However, it remains challenging to prospectively predict where they will locate. In this article, we propose a simple conceptual model of firm location decisions, then operationalize it using the ordinal stochastic degree sequence model (oSDSM). We use this model to predict whether 104 advanced producer service firms will expand, contract, or maintain their presence in each of 525 cities, and find that these predictions are accurate in more than 86 percent of cases. We conclude with suggestions for further refinement of this model.
650			_alocation models, _939989
650			_a spatial analysis, _939990
650			_amethods, _939991
650			_acity size and city systems, _939992
650			_a urban and regional spatial structure, _939993
650			_a spatial structure, _939994
650			_aproducer services, _939995
650			_astochastic degree sequence model, _936605
650			_aworld cities _933120
700			_a Derudder, Ben _939996
700			_a Taylor, Peter J. _939997
773	0		_011129 _915490 _dSage, 2019. _tInternational regional science review
856			_uhttps://doi.org/10.1177/0160017618784739
942			_2ddc _cART