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CESIS - Centre of Excellence for Science and Innovation Studies, Royal Institute of Technology KTH/CESIS Working Paper Series in Economics and Institutions of Innovation

No 309:
Simultaneous-equations Analysis in Regional Science and Economic Geography

Timo Mitze () and Andreas Stephan ()

Abstract: This paper provides an overview over simultaneous equation models (SEM) in the context of analyses based on regional data. We describe various modelling approaches and highlight close link of SEMs to theory and also comment on the advantages and disadvantages of SEMs.We present selected empirical works using simultaneous-equations analysis in regional science and economic geography in or-der to show the wide scope for applications. We thereby classify the empirical contributions as either being structural model presentations or vector autoregressive (VAR) models. Finally, we provide the reader with some details on how the various models can be estimated with available software packages such as STATA, LIMDEP or Gauss.

Keywords: Structural Equation Models; Regional Science and Economics; Empirical Applications; Software; (follow links to similar papers)

JEL-Codes: C33; C87; (follow links to similar papers)

17 pages, May 14, 2013

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