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Monetary Policy Indeterminacy and Identification Failures in the U.S.: Results from A Robust Test

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  • Efrem Castelnuovo
  • Luca Fanelli

Abstract

We propose a novel robust test to assess whether an estimated new-Keynesian model is consistent with a unique stable solution, as opposed to multiple equilibria. Our strategy is designed to handle identification failures as well as the misspecification of the relevant propagation mechanisms. We invert a likelihood ratio test for the cross-equation restrictions (CER) that the new-Keynesian system places on its reduced form solution under determinacy. If the CER are not rejected, we rule out the occurrence of sunspot-driven expectations from the model equilibrium and accept the structural model. Otherwise, we move to a second-step and invert, using the same grid considered in the first-step, an Anderson and Rubin-type test for the orthogonality restrictions (OR) implied by the system of Euler equations. We accept the hypothesis of indeterminacy if the OR are not rejected. We investigate the finite sample performance of the suggested two-steps testing strategy by some Monte Carlo experiments. Finally, we apply our robust test to a new-Keynesian AD/AS model estimated with actual U.S. post-WWII data. In spite of some evidence of weak identification as for the `Great Moderation' period, our results offer formal support to the hypothesis of a switch from indeterminacy to uniqueness occurred in the late 1970s.
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Suggested Citation

  • Efrem Castelnuovo & Luca Fanelli, 2015. "Monetary Policy Indeterminacy and Identification Failures in the U.S.: Results from A Robust Test," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(6), pages 924-947, September.
  • Handle: RePEc:wly:japmet:v:30:y:2015:i:6:p:924-947
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    Cited by:

    1. Khalaf, Lynda & Lin, Zhenjiang, 2021. "Projection-based inference with particle swarm optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 128(C).
    2. Haque, Qazi & Magnusson, Leandro M., 2021. "Uncertainty shocks and inflation dynamics in the U.S," Economics Letters, Elsevier, vol. 202(C).
    3. Meinen, Philipp & Roehe, Oke, 2018. "To sign or not to sign? On the response of prices to financial and uncertainty shocks," Economics Letters, Elsevier, vol. 171(C), pages 189-192.
    4. Bernd Funovits, 2020. "The Dimension of the Set of Causal Solutions of Linear Multivariate Rational Expectations Models," Papers 2002.04369, arXiv.org.
    5. Angelini, Giovanni & Sorge, Marco M., 2021. "Under the same (Chole)sky: DNK models, timing restrictions and recursive identification of monetary policy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    6. Angelini, Giovanni, 2020. "Bootstrap lag selection in DSGE models with expectations correction," Econometrics and Statistics, Elsevier, vol. 14(C), pages 38-48.
    7. Luca Fanelli & Marco M. Sorge, 2015. "Indeterminacy, Misspecification and Forecastability: Good Luck in Bad Policy?," CSEF Working Papers 402, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    8. Guido Ascari & Paolo Bonomolo Hedibert F. Lopes, 2016. "Rational Sunspots," Economics Series Working Papers 787, University of Oxford, Department of Economics.
    9. Farmer, Roger E.A. & Khramov, Vadim & Nicolò, Giovanni, 2015. "Solving and estimating indeterminate DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 54(C), pages 17-36.
    10. Castelnuovo, Efrem, 2016. "Modest macroeconomic effects of monetary policy shocks during the great moderation: An alternative interpretation," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 300-314.
    11. Angelini, Giovanni & Gorgi, Paolo, 2018. "DSGE Models with observation-driven time-varying volatility," Economics Letters, Elsevier, vol. 171(C), pages 169-171.
    12. Giovanni Angelini & Luca Fanelli, 2016. "Misspecification and Expectations Correction in New Keynesian DSGE Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 623-649, October.
    13. Efrem Castelnuovo, 2019. "Yield Curve and Financial Uncertainty: Evidence Based on US Data," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 52(3), pages 323-335, September.
    14. Fanelli, Luca & Sorge, Marco M., 2017. "Indeterminate forecast accuracy under indeterminacy," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 57-70.
    15. Dave, Chetan & Sorge, Marco M., 2020. "Sunspot-driven fat tails: A note," Economics Letters, Elsevier, vol. 193(C).
    16. Jinshun Wu & Luyao Wu, 2024. "Bayesian Local Likelihood Estimation of Time-Varying DSGE Models: Allowing for Indeterminacy," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2437-2476, October.
    17. Giovanni Angelini & Giuseppe Cavaliere & Luca Fanelli, 2022. "Bootstrap inference and diagnostics in state space models: With applications to dynamic macro models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 3-22, January.
    18. Giovanni Angelini & Paolo Gorgi, 2018. "DSGE Models with Observation-Driven Time-Varying parameters," Tinbergen Institute Discussion Papers 18-030/III, Tinbergen Institute.
    19. Guido Ascari & Paolo Bonomolo & Hedibert Lopes, 2018. "Walk on the wild side: Multiplicative sunspots and temporarily unstable paths," DNB Working Papers 597, Netherlands Central Bank, Research Department.
    20. Giovanni Angelini & Luca Fanelli & Marco M. Sorge, 2025. "Is Time an Illusion? A Bootstrap Likelihood Ratio Test for Shock Transmission Delays in DSGE Models," Computational Economics, Springer;Society for Computational Economics, vol. 65(5), pages 2477-2503, May.
    21. Chan, Joshua C.C. & Eisenstat, Eric, 2018. "Comparing hybrid time-varying parameter VARs," Economics Letters, Elsevier, vol. 171(C), pages 1-5.
    22. Krogh, Tord S., 2015. "Macro frictions and theoretical identification of the New Keynesian Phillips curve," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 191-204.
    23. Caggiano, Giovanni & Castelnuovo, Efrem & Nodari, Gabriela, 2018. "Risk management-driven policy rate gap," Economics Letters, Elsevier, vol. 171(C), pages 235-238.

    More about this item

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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