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Modern Macroeconomics And Regional Economic Modeling

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  • Dan S. Rickman

Abstract

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.

Suggested Citation

  • 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
    DOI: 10.1111/j.1467-9787.2009.00647.x
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    as
    1. Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 10(Win), pages 2-16.
    2. 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, vol. 91(Q 2), pages 21-37.
    3. Rappaport, Jordan, 2008. "A productivity model of city crowdedness," Journal of Urban Economics, Elsevier, vol. 63(2), pages 715-722, March.
    4. repec:bla:scandj:v:93:y:1991:i:2:p:161-78 is not listed on IDEAS
    5. 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.
    6. 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.
    7. 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.
    8. Ashley, Richard, 1988. "On the relative worth of recent macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 4(3), pages 363-376.
    9. 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.
    10. Marlon G. Boarnet, 1994. "An Empirical Model Of Intrametropolitan Population And Employment Growth," Papers in Regional Science, Wiley Blackwell, vol. 73(2), pages 135-152, April.
    11. Artis, M. J. & Zhang, W., 1990. "BVAR forecasts for the G-7," International Journal of Forecasting, Elsevier, vol. 6(3), pages 349-362, October.
    12. 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.
    13. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    14. 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.
    15. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.
    16. Canova, Fabio & Sala, Luca, 2009. "Back to square one: Identification issues in DSGE models," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 431-449, May.
    17. repec:bla:scandj:v:93:y:1991:i:2:p:129-48 is not listed on IDEAS
    18. Valadkhani, Abbas, 2004. "History of macroeconometric modelling: lessons from past experience," Journal of Policy Modeling, Elsevier, vol. 26(2), pages 265-281, February.
    19. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    20. 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.
    21. 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.
    22. Fabio Canova, 2007. "How much structure in empirical models?," Economics Working Papers 1054, Department of Economics and Business, Universitat Pompeu Fabra.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2004. "A Critique of Structural VARs Using Real Business Cycle Theory," Levine's Bibliography 122247000000000518, UCLA Department of Economics.
    30. 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.
    31. Jing Liu & Channing Arndt, 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.
    32. Cooley, Thomas F. & Leroy, Stephen F., 1985. "Atheoretical macroeconometrics: A critique," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 283-308, November.
    33. 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.
    34. 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.
    35. repec:hum:wpaper:sfb649dp2008-018 is not listed on IDEAS
    36. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2007. "Assessing Structural VARs," NBER Chapters, in: NBER Macroeconomics Annual 2006, Volume 21, pages 1-106, National Bureau of Economic Research, Inc.
    37. 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.
    38. 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.
    39. 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.
    40. Bernanke, Ben S., 1986. "Alternative explanations of the money-income correlation," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 49-99, January.
    41. Kehoe, Timothy J., 2002. "An Evaluation of the Performance of Applied General Equilibrium Models of the Impact of NAFTA," Conference papers 331066, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    42. Coulson N. Edward, 1993. "The Sources of Sectoral Fluctuations in Metropolitan Areas," Journal of Urban Economics, Elsevier, vol. 33(1), pages 76-94, January.
    43. Marco Del Negro & Frank Schorfheide, 2003. "Take your model bowling: forecasting with general equilibrium models," Economic Review, Federal Reserve Bank of Atlanta, vol. 88(Q4), pages 35-50.
    44. 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.
    45. 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.
    46. 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.
    47. John C. Robertson & Ellis W. Tallman, 1999. "Vector autoregressions: forecasting and reality," Economic Review, Federal Reserve Bank of Atlanta, vol. 84(Q1), pages 4-18.
    48. 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.
    49. 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.
    50. 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.
    51. 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.
    52. James H. Stock & Mark W. Watson, 2001. "Vector Autoregressions," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 101-115, Fall.
    53. 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.
    54. Edward C. Prescott, 2004. "Why do Americans work so much more than Europeans?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 28(Jul), pages 2-13.
    55. 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.
    56. Rappaport, Jordan, 2008. "Consumption amenities and city population density," Regional Science and Urban Economics, Elsevier, vol. 38(6), pages 533-552, November.
    57. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, September.
    58. 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.
    59. 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.
    60. 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.
    61. Litterman, Robert, 1986. "Forecasting with Bayesian vector autoregressions -- Five years of experience : Robert B. Litterman, Journal of Business and Economic Statistics 4 (1986) 25-38," International Journal of Forecasting, Elsevier, vol. 2(4), pages 497-498.
    62. 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.
    63. Matteo Ciccarelli & Alessandro Rebucci, 2003. "BVARs: A Survey of the Recent Literature with an Application to the European Monetary System," Rivista di Politica Economica, SIPI Spa, vol. 93(5), pages 47-112, September.
    64. Bewley, Ronald, 2002. "Forecast accuracy, coefficient bias and Bayesian vector autoregressions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 163-169.
    65. 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.
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