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Critically Assessing Estimated DSGE Models: A Case Study of a Multi‐sector Model

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  • Xianglong Liu
  • Adrian R. Pagan
  • Tim Robinson

Abstract

We describe methods for assessing estimated dynamic stochastic general equilibrium (DSGE) models. One involves the computation of alternative impulse responses from models constrained to have an identical likelihood and the same contemporaneous signs as responses in the DSGE model. Others ask how well the model matches the data‐generating process; whether there is weak identification; the consequences of including measurement error with growth rates of non‐stationary variables; and whether the model can reproduce features of the data that involve combinations of moments. The methods are applied to a large‐scale small‐open economy DSGE model, typical of those used at policy institutions.

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  • Xianglong Liu & Adrian R. Pagan & Tim Robinson, 2018. "Critically Assessing Estimated DSGE Models: A Case Study of a Multi‐sector Model," The Economic Record, The Economic Society of Australia, vol. 94(307), pages 349-371, December.
    • Handle: RePEc:bla:ecorec:v:94:y:2018:i:307:p:349-371
    DOI: 10.1111/1475-4932.12425
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    1. 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.
    2. Iskrev, Nikolay, 2010. "Local identification in DSGE models," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 189-202, March.
    3. Alejandro Justiniano & Giorgio Primiceri & Andrea Tambalotti, 2011. "Investment Shocks and the Relative Price of Investment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 101-121, January.
    4. Jonas E. Arias & Juan Rubio-Ramirez & Daniel F. Waggoner, 2013. "Inference Based on SVARs Identied with Sign and Zero Restrictions: Theory and Applications," Working Papers 2013-24, FEDEA.
    5. Renée Fry & Adrian Pagan, 2011. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 938-960, December.
    6. Gary Koop & M. Hashem Pesaran & Ron P. Smith, 2013. "On Identification of Bayesian DSGE Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 300-314, July.
    7. Evren Caglar & Jagjit S. Chadha & Katsuyuki Shibayama, 2011. "Bayesian Estimation of DSGE models: Is the Workhorse Model Identified?," Studies in Economics 1125, School of Economics, University of Kent.
    8. 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.
    9. Xianglong Liu & Adrian R. Pagan & Tim Robinson, 2018. "Critically Assessing Estimated DSGE Models: A Case Study of a Multi‐sector Model," The Economic Record, The Economic Society of Australia, vol. 94(307), pages 349-371, December.
    10. Daniel M. Rees & Penelope Smith & Jamie Hall, 2016. "A Multi-sector Model of the Australian Economy," The Economic Record, The Economic Society of Australia, vol. 92(298), pages 374-408, September.
    11. Phillip Edmund Metaxas & Ernst Juerg Weber, 2016. "An Australian Contribution to International Trade Theory: The Dependent Economy Model," The Economic Record, The Economic Society of Australia, vol. 92(298), pages 464-497, September.
    12. Justiniano, Alejandro & Preston, Bruce, 2010. "Can structural small open-economy models account for the influence of foreign disturbances?," Journal of International Economics, Elsevier, vol. 81(1), pages 61-74, May.
    13. Blanchard, Olivier Jean & Kahn, Charles M, 1980. "The Solution of Linear Difference Models under Rational Expectations," Econometrica, Econometric Society, vol. 48(5), pages 1305-1311, July.
    14. Canova, Fabio & Nicolo, Gianni De, 2002. "Monetary disturbances matter for business fluctuations in the G-7," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1131-1159, September.
    15. Pagan, Adrian & Robinson, Tim, 2014. "Methods for assessing the impact of financial effects on business cycles in macroeconometric models," Journal of Macroeconomics, Elsevier, vol. 41(C), pages 94-106.
    16. 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.
    17. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    18. Harding, Don & Pagan, Adrian, 2002. "Dissecting the cycle: a methodological investigation," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 365-381, March.
    19. Christiane Baumeister & James D. Hamilton, 2015. "Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information," Econometrica, Econometric Society, vol. 83(5), pages 1963-1999, September.
    20. Christensen Timothy & Hurn Stan & Pagan Adrian, 2011. "Detecting Common Dynamics in Transitory Components," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-28, February.
    21. Adrian Pagan & Tim Robinson, 2016. "Investigating the Relationship Between DSGE and SVAR Models," NCER Working Paper Series 112, National Centre for Econometric Research.
    22. Adrian Pagan, 2017. "Some consequences of using "measurement error shocks" when estimating time series models," CAMA Working Papers 2017-12, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    23. Sam Ouliaris & Adrian Pagan, 2016. "A Method for Working with Sign Restrictions in Structural Equation Modelling," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 605-622, October.
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    Cited by:

    1. 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.
    2. Pagan, Adrian & Robinson, Tim, 2022. "Excess shocks can limit the economic interpretation," European Economic Review, Elsevier, vol. 145(C).
    3. Georgiadis, Georgios & Jančoková, Martina, 2020. "Financial globalisation, monetary policy spillovers and macro-modelling: Tales from 1001 shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    4. Christopher G Gibbs & Jonathan Hambur & Gabriela Nodari, 2018. "DSGE Reno: Adding a Housing Block to a Small Open Economy Model," RBA Research Discussion Papers rdp2018-04, Reserve Bank of Australia.
    5. Adrian Pagan & Tim Robinson, 2020. "Too Many Shocks Spoil the Interpretation," Melbourne Institute Working Paper Series wp2020n02, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    6. Sam Ouliaris & Adrian Pagan, 2022. "Three Basic Issues that Arise when Using Informational Restrictions in SVARs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(1), pages 1-20, February.
    7. Daniel Buncic & Adrian Pagan & Tim Robinson, 2023. "Recovering Stars in Macroeconomics," CAMA Working Papers 2023-43, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. Xianglong Liu & Adrian R. Pagan & Tim Robinson, 2018. "Critically Assessing Estimated DSGE Models: A Case Study of a Multi‐sector Model," The Economic Record, The Economic Society of Australia, vol. 94(307), pages 349-371, December.
    9. Wickens, Michael R. & Pagan, Adrian, 2019. "Checking if the Straitjacket Fits," CEPR Discussion Papers 14140, C.E.P.R. Discussion Papers.
    10. Christopher G. Gibbs & Jonathan Hambur & Gabriela Nodari, 2021. "Housing and Commodity Investment Booms in a Small Open Economy," The Economic Record, The Economic Society of Australia, vol. 97(317), pages 212-242, June.

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