Simultaneous-equations Analysis in Regional Science and Economic Geography

Timo Mitze and Andreas Stephan

No 309, Working Paper Series in Economics and Institutions of Innovation from Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies

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 (search for similar items in EconPapers)
JEL-codes: C33 C87 (search for similar items in EconPapers)
Pages: 17 pages
Date: 2013-05-14
New Economics Papers: this item is included in nep-ecm, nep-geo and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:hhs:cesisp:0309

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