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Calibration in Macroeconomics

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  • Allan W. Gregory
  • Gregor W. Smith

Abstract

This chapter reviews calibration techniques in macroeconomics. The discussion designs with an outline of the use of calibration in applied work. Next, a simple asset-pricing model is the setting for a demonstration of calibration and for comparison with conventional estimation and testing. Experiments with calibrated models may be formalized as Monte Carlo testing. With the asset-pricing model, we use simulation methods to calculate the exact size of the variance-bounds-type test proposed by Hansen and Jagannathan (1991). Finally, we suggest that calibration is best viewed as an informal guide to model reformulation

Suggested Citation

  • Allan W. Gregory & Gregor W. Smith, 1991. "Calibration in Macroeconomics," Working Papers 826, Queen's University, Department of Economics.
  • Handle: RePEc:qed:wpaper:826
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    File URL: http://qed.econ.queensu.ca/working_papers/papers/qed_wp_826.pdf
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    1. Le, Vo Phuong Mai & Minford, Patrick & Wickens, Michael, 2010. "The 'Puzzles' methodology: En route to Indirect Inference?," Economic Modelling, Elsevier, vol. 27(6), pages 1417-1428, November.
    2. Le, Vo Phuong Mai & Meenagh, David & Minford, Patrick, 2012. "What causes banking crises? An empirical investigation," CEPR Discussion Papers 9057, C.E.P.R. Discussion Papers.
    3. David Meenagh & Patrick Minford & Michael Wickens, 2009. "Testing a DSGE Model of the EU Using Indirect Inference," Open Economies Review, Springer, vol. 20(4), pages 435-471, September.
    4. Butler, L, 1996. "The Bank of Canada's New Quarterly Porjection Model Part 4 : A Semi- Structural Method to Estimate Potential Output : Combining Economic Theory with a Time-Series Filter," Technical Reports 77, Bank of Canada.
    5. Liu, Chunping & Minford, Patrick, 2014. "How important is the credit channel? An empirical study of the US banking crisis," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 119-134.
    6. Finn E. Kydland & Edward C. Prescott, 1996. "The Computational Experiment: An Econometric Tool," Journal of Economic Perspectives, American Economic Association, vol. 10(1), pages 69-85, Winter.
    7. Pillai N., Vijayamohanan, 2008. "In Quest of Truth: The War of Methods in Economics," MPRA Paper 8866, University Library of Munich, Germany.
    8. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.
    9. Hnatkovska, Viktoria & Marmer, Vadim & Tang, Yao, 2012. "Comparison of misspecified calibrated models: The minimum distance approach," Journal of Econometrics, Elsevier, vol. 169(1), pages 131-138.
    10. Karamé, Frédéric & Patureau, Lise & Sopraseuth, Thepthida, 2008. "Limited participation and exchange rate dynamics: Does theory meet the data?," Journal of Economic Dynamics and Control, Elsevier, vol. 32(4), pages 1041-1087, April.
    11. Le, Vo Phuong Mai & Meenagh, David & Minford, Patrick & Wickens, Michael R., 2012. "Testing DSGE models by Indirect inference and other methods: some Monte Carlo experiments," CEPR Discussion Papers 9056, C.E.P.R. Discussion Papers.
    12. Touhami Abdelkhalek & Jean-Marie Dufour, 1998. "Statistical Inference For Computable General Equilibrium Models, With Application To A Model Of The Moroccan Economy," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 520-534, November.
    13. Patrick Minford & Konstantinos Theodoridis & David Meenagh, 2009. "Testing a Model of the UK by the Method of Indirect Inference," Open Economies Review, Springer, vol. 20(2), pages 265-291, April.
    14. Meenagh, David & Minford, Patrick & Wickens, Michael, 2012. "Testing macroeconomic models by indirect inference on unfiltered data," Cardiff Economics Working Papers E2012/17, Cardiff University, Cardiff Business School, Economics Section.
    15. Meenagh, David & Minford, Patrick & Nowell, Eric & Sofat, Prakriti & Srinivasan, Naveen, 2009. "Can the facts of UK inflation persistence be explained by nominal rigidity?," Economic Modelling, Elsevier, vol. 26(5), pages 978-992, September.

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