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Modern Macroeconomics And Regional Economic Modeling

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  • Dan S. Rickman

Abstract

Despite a history of regional economic models being patterned after their national counterparts, modern macroeconomic methodology has yet to be fully embraced by regional scientists. In this paper, I argue that modern macroeconomic methodology has much to offer the field of regional economic modeling. For one, the empirical strategies used in implementing dynamic stochastic general equilibrium models provide insights into how regional computable general equilibrium models could be better parameterized and empirically verified. In addition, the structural macroeconomic approach more generally could be used to construct structural regional policy analysis models for use as alternatives to traditional regional models. Copyright (c) 2010, Wiley Periodicals, Inc.

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Bibliographic Info

Article provided by Wiley Blackwell in its journal Journal of Regional Science.

Volume (Year): 50 (2010)
Issue (Month): 1 ()
Pages: 23-41

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Handle: RePEc:bla:jregsc:v:50:y:2010:i:1:p:23-41

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Cited by:
  1. Mitze, Timo & Stephan, Andreas, 2013. "Simultaneous-equations Analysis in Regional Science and Economic Geography," Working Paper Series in Economics and Institutions of Innovation 309, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
  2. Philipp Breidenbach & Timo Mitze & Christoph Schmidt, 2011. "Evaluating EU Regional Policy: Many Empirical Specifications, One (Unpleasant) Result," ERSA conference papers ersa11p1144, European Regional Science Association.
  3. Jens Abildtrup & Virginie Piguet & Bertrand Schmitt, 2011. "The impact of agro-food industry on employment and population changes: The case of Denmark and France'," ERSA conference papers ersa10p1622, European Regional Science Association.
  4. Rickman, Dan S. & Guettabi, Mouhcine, 2013. "The Great Recession and Nonmetropolitan America," MPRA Paper 44829, University Library of Munich, Germany.

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