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Modern Macroeconomics And Regional Economic Modeling

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  • Dan S. Rickman

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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.

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  • Dan S. Rickman, 2010. "Modern Macroeconomics And Regional Economic Modeling," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 23-41, February.
  • Handle: RePEc:bla:jregsc:v:50:y:2010:i:1:p:23-41
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    File URL: https://doi.org/10.1111/j.1467-9787.2009.00647.x
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    1. Timothy J. Kehoe, 2003. "An evaluation of the performance of applied general equilibrium models of the impact of NAFTA," Staff Report 320, Federal Reserve Bank of Minneapolis.
    2. Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 2-16.
    3. Coulson N. Edward, 1993. "The Sources of Sectoral Fluctuations in Metropolitan Areas," Journal of Urban Economics, Elsevier, vol. 33(1), pages 76-94, January.
    4. Watson, Mark W, 1993. "Measures of Fit for Calibrated Models," Journal of Political Economy, University of Chicago Press, vol. 101(6), pages 1011-1041, December.
    5. Marco Del Negro & Frank Schorfheide, 2006. "How good is what you've got? DSGE-VAR as a toolkit for evaluating DSGE models," Economic Review, Federal Reserve Bank of Atlanta, issue Q 2, pages 21-37.
    6. Rappaport, Jordan, 2008. "A productivity model of city crowdedness," Journal of Urban Economics, Elsevier, vol. 63(2), pages 715-722, March.
    7. Fabio Canova, 2007. "How much structure in empirical models?," Economics Working Papers 1054, Department of Economics and Business, Universitat Pompeu Fabra.
    8. Marco Del Negro & Frank Schorfheide, 2003. "Take your model bowling: forecasting with general equilibrium models," Economic Review, Federal Reserve Bank of Atlanta, issue Q4, pages 35-50.
    9. Liu, Jing & Arndt, Channing, 2004. "Parameter Estimation and Measures of Fit in A Global, General Equilibrium Model," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 19, pages 626-649.
    10. Kydland, Finn E & Prescott, Edward C, 1991. " The Econometrics of the General Equilibrium Approach to Business Cycles," Scandinavian Journal of Economics, Wiley Blackwell, vol. 93(2), pages 161-178.
    11. Joshua Hojvat Gallin, 2004. "Net Migration and State Labor Market Dynamics," Journal of Labor Economics, University of Chicago Press, vol. 22(1), pages 1-22, January.
    12. James Giesecke, 2002. "Explaining regional economic performance: An historical application of a dynamic multi-regional CGE model," Review of Economic Design, Springer;Society for Economic Design, vol. 81(2), pages 247-278, April.
    13. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    14. Kehoe, Timothy J & Polo, Clemente & Sancho, Ferran, 1995. "An Evaluation of the Performance of an Applied General Equilibrium Model of the Spanish Economy," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 6(1), pages 115-141, June.
    15. Mark D. Partridge & Dan S. Rickman, 2006. "An SVAR Model of Fluctuations in U.S. Migration Flows and State Labor Market Dynamics," Southern Economic Journal, Southern Economic Association, vol. 72(4), pages 958-980, April.
    16. Ashley, Richard, 1988. "On the relative worth of recent macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 4(3), pages 363-376.
    17. LeSage, James P. & Magura, Michael, 1991. "Using interindustry input-output relations as a Bayesian prior in employment forecasting models," International Journal of Forecasting, Elsevier, vol. 7(2), pages 231-238, August.
    18. Carlino, Gerald A. & DeFina, Robert H. & Sill, Keith, 2001. "Sectoral Shocks and Metropolitan Employment Growth," Journal of Urban Economics, Elsevier, vol. 50(3), pages 396-417, November.
    19. Ingram, Beth Fisher & Kocherlakota, Narayana R. & Savin, N. E., 1994. "Explaining business cycles: A multiple-shock approach," Journal of Monetary Economics, Elsevier, vol. 34(3), pages 415-428, December.
    20. Artis, M. J. & Zhang, W., 1990. "BVAR forecasts for the G-7," International Journal of Forecasting, Elsevier, vol. 6(3), pages 349-362, October.
    21. Dan S. Rickman & Steven R. Miller & Russell McKenzie, 2009. "Spatial and sectoral linkages in regional models: A Bayesian vector autoregression forecast evaluation," Papers in Regional Science, Wiley Blackwell, vol. 88(1), pages 29-41, March.
    22. Hansen, Lars Peter & Sargent, Thomas J., 1980. "Formulating and estimating dynamic linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 7-46, May.
    23. Kydland, Finn E & Prescott, Edward C, 1991. "Hours and Employment Variation in Business Cycle Theory," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 1(1), pages 63-81, January.
    24. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    25. Haddad, Eduardo A. & Hewings, Geoffrey J.D., 2005. "Market imperfections in a spatial economy: some experimental results," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(2-3), pages 476-496, May.
    26. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.
    27. Faust, Jon & Leeper, Eric M, 1997. "When Do Long-Run Identifying Restrictions Give Reliable Results?," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 345-353, July.
    28. John C. Robertson & Ellis W. Tallman, 1999. "Vector autoregressions: forecasting and reality," Economic Review, Federal Reserve Bank of Atlanta, issue Q1, pages 4-18.
    29. Sims, Christopher A & Zha, Tao, 1998. "Bayesian Methods for Dynamic Multivariate Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-968, November.
    30. Summers, Lawrence H, 1991. " The Scientific Illusion in Empirical Macroeconomics," Scandinavian Journal of Economics, Wiley Blackwell, vol. 93(2), pages 129-148.
    31. Valadkhani, Abbas, 2004. "History of macroeconometric modelling: lessons from past experience," Journal of Policy Modeling, Elsevier, vol. 26(2), pages 265-281, February.
    32. Lee C. Adkins & Dan S. Rickman & Abid Hameed, 2003. "Bayesian Estimation of Regional Production for CGE Modeling," Journal of Regional Science, Wiley Blackwell, vol. 43(4), pages 641-661, November.
    33. Francis X. Diebold, 1998. "The Past, Present, and Future of Macroeconomic Forecasting," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 175-192, Spring.
    34. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    35. G F Mulligan & A C Vias & S M Glavac, 1999. "Initial Diagnostics of a Regional Adjustment Model," Environment and Planning A, , vol. 31(5), pages 855-876, May.
    36. James H. Stock & Mark W. Watson, 2001. "Vector Autoregressions," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 101-115, Fall.
    37. McKitrick, Ross R., 1998. "The econometric critique of computable general equilibrium modeling: the role of functional forms," Economic Modelling, Elsevier, vol. 15(4), pages 543-573, October.
    38. Steven C. Deller & Tsung-Hsiu (Sue) Tsai & David W. Marcouiller & Donald B.K. English, 2001. "The Role of Amenities and Quality of Life In Rural Economic Growth," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 352-365.
    39. Chang, Sheng-Wen & Coulson, N. Edward, 2001. "Sources of Sectoral Employment Fluctuations in Central Cities and Suburbs: Evidence from Four Eastern U.S. Cities," Journal of Urban Economics, Elsevier, vol. 49(2), pages 199-218, March.
    40. Partridge, Mark D. & Rickman, Dan S., 2003. "The waxing and waning of regional economies: the chicken-egg question of jobs versus people," Journal of Urban Economics, Elsevier, vol. 53(1), pages 76-97, January.
    41. Partridge, Mark D & Rickman, Dan S, 1998. "Generalizing the Bayesian Vector Autoregression Approach for Regional Interindustry Employment Forecasting," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(1), pages 62-72, January.
    42. Thomas J. Holmes, 2010. "Structural, Experimentalist, And Descriptive Approaches To Empirical Work In Regional Economics," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 5-22, February.
    43. Eric M. Leeper & Christopher A. Sims & Tao Zha, 1996. "What Does Monetary Policy Do?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(2), pages 1-78.
    44. Arndt, Channing & Robinson, Sherman & Tarp, Finn, 2002. "Parameter estimation for a computable general equilibrium model: a maximum entropy approach," Economic Modelling, Elsevier, vol. 19(3), pages 375-398, May.
    45. Rappaport, Jordan, 2008. "Consumption amenities and city population density," Regional Science and Urban Economics, Elsevier, vol. 38(6), pages 533-552, November.
    46. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, September.
    47. Long, John B, Jr & Plosser, Charles I, 1983. "Real Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 91(1), pages 39-69, February.
    48. Viktor Winschel, 2005. "Solving, Estimating and Selecting Nonlinear Dynamic Economic Models without the Curse of Dimensionality," GE, Growth, Math methods 0507014, University Library of Munich, Germany.
    49. Harold L. Cole & Lee E. Ohanian, 2004. "New Deal Policies and the Persistence of the Great Depression: A General Equilibrium Analysis," Journal of Political Economy, University of Chicago Press, vol. 112(4), pages 779-816, August.
    50. Mary E. Burfisher & Sherman Robinson & Karen Thierfelder, 2001. "The Impact of NAFTA on the United States," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 125-144, Winter.
    51. Rubaszek, Michal & Skrzypczynski, Pawel, 2008. "On the forecasting performance of a small-scale DSGE model," International Journal of Forecasting, Elsevier, vol. 24(3), pages 498-512.
    52. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2005. "A critique of structural VARs using real business cycle theory," Working Papers 631, Federal Reserve Bank of Minneapolis.
    53. Cooley, Thomas F. & Leroy, Stephen F., 1985. "Atheoretical macroeconometrics: A critique," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 283-308, November.
    54. Marco Del Negro & Frank Schorfheide, 2004. "Priors from General Equilibrium Models for VARS," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 643-673, May.
    55. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    56. Mark D. Partridge & Dan S. Rickman, 1998. "Regional Computable General Equilibrium Modeling: A Survey and Critical Appraisal," International Regional Science Review, , vol. 21(3), pages 205-248, December.
    57. Viktor Winschel & Markus Krätzig, 2008. "Solving, Estimating and Selecting Nonlinear Dynamic Models without the Curse of Dimensionality," SFB 649 Discussion Papers SFB649DP2008-018, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    58. Bewley, Ronald, 2002. "Forecast accuracy, coefficient bias and Bayesian vector autoregressions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 163-169.
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    Cited by:

    1. Breidenbach, Philipp & Mitze, Timo & Schmidt, Christoph M, 2016. "EU Structural Funds and Regional Income Convergence - A Sobering Experience," CEPR Discussion Papers 11210, C.E.P.R. Discussion Papers.
    2. Dan S. Rickman, 2014. "Assessing Regional Quality of Life: A Call for Action in Regional Science," The Review of Regional Studies, Southern Regional Science Association, vol. 44(1), pages 1-12, Spring.
    3. Dan S. Rickman & Mouhcine Guettabi, 2015. "The Great Recession And Nonmetropolitan America," Journal of Regional Science, Wiley Blackwell, vol. 55(1), pages 93-112, January.
    4. Tervo, Hannu, 2016. "Do People Follow Jobs or Do Jobs Follow People? The Case of Finland in an International Context," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 46(1).
    5. repec:spr:anresc:v:60:y:2018:i:1:d:10.1007_s00168-017-0847-0 is not listed on IDEAS
    6. Hongbo Wang & Dan Rickman, 2018. "Regional growth differences in China for 1995–2013: an empirical integrative analysis of their sources," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 99-117, January.
    7. Gerke J. Hoogstra & Jouke van Dijk & Raymond J. G. M. Florax, 2017. "Do jobs follow people or people follow jobs? A meta-analysis of Carlino–Mills studies," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(4), pages 357-378, October.
    8. Gronau, Steven & Winter, Etti, 2018. "Social Accounting Matrix: A user manual for village economies," Hannover Economic Papers (HEP) dp-636, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    9. 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.
    10. 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.
    11. M. Rose Olfert & Mark D. Partridge, 2010. "Best Practices in Twenty‐First‐Century Rural Development and Policy," Growth and Change, Wiley Blackwell, vol. 41(2), pages 147-164, June.
    12. 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.
    13. repec:elg:eechap:14395_7 is not listed on IDEAS
    14. repec:bap:journl:180405 is not listed on IDEAS

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