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Making a match: Combining theory and evidence in policy-oriented macroeconomic modeling

Author

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  • Kapetanios, G.
  • Pagan, A.
  • Scott, A.

Abstract

A persistent question arising in the development of models for the analysis of macroeconomic policy has been the relative role of economic theory and evidence (data) in their construction. This paper looks at some strategies for transforming a Conceptual Model to become a Data-Adjusted Model, and how to adjust further to an Operational Model for policy analysis. Using a typical dynamic GE small open economy calibrated to UK data, we examine how some simple but formal econometric tests can be applied to test the match of the CM to the data. We also use the CM as a laboratory to assess model-building strategies. Our example suggests that, since one will never be sure that the choice of variables is appropriate, it is better to start with a CM and work towards making it match the data than attempting the converse
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Suggested Citation

  • Kapetanios, G. & Pagan, A. & Scott, A., 2007. "Making a match: Combining theory and evidence in policy-oriented macroeconomic modeling," Journal of Econometrics, Elsevier, vol. 136(2), pages 565-594, February.
    • Handle: RePEc:eee:econom:v:136:y:2007:i:2:p:565-594
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    Cited by:

    1. Mala Raghavan & George Athanasopoulos & Param Silvapulle, 2016. "Canadian monetary policy analysis using a structural VARMA model," Canadian Journal of Economics, Canadian Economics Association, vol. 49(1), pages 347-373, February.
    2. Raghavan, Mala, 2020. "An analysis of the global oil market using SVARMA models," Energy Economics, Elsevier, vol. 86(C).
    3. Leung, Charles Ka Yui & Shi, Song & Ho Tang, Edward Chi, 2013. "Commodity house prices," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 875-887.
    4. D.S. Poskitt & Wenying Yao, 2012. "VAR Modeling and Business Cycle Analysis: A Taxonomy of Errors," Monash Econometrics and Business Statistics Working Papers 11/12, Monash University, Department of Econometrics and Business Statistics.
    5. Yao, Wenying & Kam, Timothy & Vahid, Farshid, 2014. "VAR(MA), what is it good for? more bad news for reduced-form estimation and inference," Working Papers 2014-14, University of Tasmania, Tasmanian School of Business and Economics.
    6. Baum, Christopher F. & Hurn, Stan & Otero, Jesús, 2025. "The dynamics of U.S. industrial production: A time-varying Granger causality perspective," Econometrics and Statistics, Elsevier, vol. 33(C), pages 13-22.
    7. Philip Liu & Konstantinos Theodoridis, 2012. "DSGE Model Restrictions for Structural VAR Identification," International Journal of Central Banking, International Journal of Central Banking, vol. 8(4), pages 61-95, December.
    8. Martin Fukac & Adrian Pagan, 2010. "Limited information estimation and evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 55-70.
    9. Cheuk Yin Ho, 2007. "Illegal migration and economic growth: simulation analysis in an international context," Economics Bulletin, AccessEcon, vol. 6(41), pages 1-13.
    10. K. Azim Ozdemir, 2015. "Interest Rate Surprises and Transmission Mechanism in Turkey: Evidence from Impulse Response Analysis," Working Papers 1504, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    11. Massimo Franchi & Anna Vidotto, 2012. "A simple check for VAR representations of DSGE models," DSS Empirical Economics and Econometrics Working Papers Series 2012/5, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
    12. Raghavan, Mala & Athanasopoulos, George, 2019. "Analysis of shock transmissions to a small open emerging economy using a SVARMA model," Economic Modelling, Elsevier, vol. 77(C), pages 187-203.
    13. Adrian Pagan & Tim Robinson, 2019. "Implications of Partial Information for Applied Macroeconomic Modelling," Melbourne Institute Working Paper Series wp2019n12, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    14. Martin Fukac & Adrian Pagan, 2009. "Structural macro-wconometric modelling in a policy environment," Reserve Bank of New Zealand Discussion Paper Series DP2009/16, Reserve Bank of New Zealand.
    15. Dufour, Jean-Marie & Taamouti, Abderrahim, 2010. "Short and long run causality measures: Theory and inference," Journal of Econometrics, Elsevier, vol. 154(1), pages 42-58, January.
    16. Jarkko Jääskelä & David Jennings, 2010. "Monetary Policy and the Exchange Rate: Evaluation of VAR Models," RBA Research Discussion Papers rdp2010-07, Reserve Bank of Australia.
    17. Bacchiocchi, Emanuele & Dragomirescu-Gaina, Catalin, 2024. "Uncertainty spill-overs: When policy and financial realms overlap," Journal of International Money and Finance, Elsevier, vol. 143(C).
    18. Franchi, Massimo & Vidotto, Anna, 2013. "A check for finite order VAR representations of DSGE models," Economics Letters, Elsevier, vol. 120(1), pages 100-103.
    19. Martin Fukac & Adrian Pagan, 2006. "Issues in Adopting DSGE Models for Use in the Policy Process," Working Papers 2006/6, Czech National Bank, Research and Statistics Department.
    20. Eric M. Leeper & Todd B. Walker & Shu-Chun Susan Yang, 2008. "Fiscal Foresight: Analytics and Econometrics," NBER Working Papers 14028, National Bureau of Economic Research, Inc.
    21. Jääskelä, Jarkko P. & Jennings, David, 2011. "Monetary policy and the exchange rate: Evaluation of VAR models," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1358-1374.
    22. Poskitt, D.S., 2016. "Vector autoregressive moving average identification for macroeconomic modeling: A new methodology," Journal of Econometrics, Elsevier, vol. 192(2), pages 468-484.
    23. Jeanfils, Philippe & Burggraeve, Koen, 2008. ""NONAME": A new quarterly model for Belgium," Economic Modelling, Elsevier, vol. 25(1), pages 118-127, January.
    24. Wang, Lipeng & Zhang, Mengyu & Verousis, Thanos, 2021. "The road to economic recovery: Pandemics and innovation," International Review of Financial Analysis, Elsevier, vol. 75(C).
    25. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2012. "Oil prices, exchange rates and emerging stock markets," Energy Economics, Elsevier, vol. 34(1), pages 227-240.

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    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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