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ON THE EXPECTATIONAL STABILITY OF RATIONAL EXPECTATIONS EQUILIBRIA IN NEWS-SHOCK DSGE MODELS

Published online by Cambridge University Press:  14 April 2020

Brian Dombeck
Brian Dombeck*
Affiliation:
Lewis & Clark College
*
Address correspondence to: Brian Dombeck, Department of Economics, Lewis & Clark College, 0615 SW Palatine Hill Road, MSC 40, Portland, OR, 97219, USA. e-mail: bdombeck@lclark.edu. Phone: 503-768-7643.
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Abstract

The expectational stability (E-stability) property of rational expectations equilibria (REE) in linear macroeconomic dynamic stochastic general equilibrium (DSGE) models is known to be sensitive to the information available to decision makers as well as the structure of the economic environment considered. Models featuring news shocks as a source of macroeconomic fluctuations depart from traditional assumptions regarding both the structure of the economy and the information set of agents. This paper investigates whether E-stability of REE is affected by either the inclusion of news shocks by themselves or the complementary structural changes. The main results find that the E-stability property of REE is robust to the inclusion (or exclusion) of news shocks and that well-known news-shock DSGE models permit REE which are simultaneously E-stable and capable of producing qualitatively realistic expectationally driven business cycles.

Keywords

News shocksBounded rationalityAdaptive learningDynamic stochastic general equilibrium models
Type
Articles
Information
Macroeconomic Dynamics , Volume 26 , Issue 1 , January 2022 , pp. 102 - 126
Copyright
© Cambridge University Press 2020

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Footnotes

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. I am extremely grateful for the feedback of two anonymous referees as well as Franck Portier and for the support and guidance of Bruce McGough, George Evans, Jeremy Piger, and David Evans as well as helpful suggestions from participants in the University of Oregon’s Macroeconomics Group.

References

REFERENCES

Beaudry, P. and Portier, F. (2004) An exploration into pigou’s theory of cycles. Journal of Monetary Economics 51, 1183–1216.CrossRefGoogle Scholar
Beaudry, P. and Portier, F. (2014) News-driven business cycles: Insights and challenges. Journal of Economic Literature 52, 993–1074.CrossRefGoogle Scholar
Born, B., Peter, A. and Pfeifer, J. (2013) Fiscal news and macroeconomic volatility. Journal of Economic Dynamics and Control 37, 2582–2601.CrossRefGoogle Scholar
Bullard, J. and Eusepi, S. (2014) When does determinacy imply expectational stability? International Economic Review 55, 1–22.CrossRefGoogle Scholar
Bullard, J. and Mitra, K. (2002) Learning about monetary policy rules. Journal of Monetary Economics 49, 1105–1129.CrossRefGoogle Scholar
Dombeck, B. (2019) Learning vs news: What drives business cycles? Unpublished Working Paper.Google Scholar
Evans, G. W. and Honkapohja, S. (2001) Learning and Expectations in Macroeconomics. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
Greenwood, J., Hercowitz, Z. and Huffman, G. W. (1988) Investment, capacity utilization, and the real business cycle. The American Economic Review, 78, 402–417.Google Scholar
Gunn, C. M. and Johri, A. (2018) Financial news, banks, and business cycles. Macroeconomic Dynamics 22, 173–198.CrossRefGoogle Scholar
Guo, J.-T., Sirbu, A.-I. and Weder, M. (2015) News about aggregate demand and the business cycle. Journal of Monetary Economics 72, 83–96.CrossRefGoogle Scholar
Jaimovich, N. and Rebelo, S. (2009) Can news about the future drive the business cycle? American Economic Review 99, 1097–1118.CrossRefGoogle Scholar
Ji, Y. and Xiao, W. (2018) Instability of Sunspot Equilibria in Real Business Cycle Models under Infinite Horizon Learning. Macroeconomic Dynamics 22, 1978–2006.CrossRefGoogle Scholar
Keen, B. D., Richter, A. W. and Throckmorton, N. A. (2017) Forward guidance and the state of the economy. Economic Inquiry 55, 1593–1624.CrossRefGoogle Scholar
Khan, H. and Tsoukalas, J. (2012) The quantitative importance of news shocks in estimated DSGE models. Journal of Money, Credit and Banking 44, 1535–1561.CrossRefGoogle Scholar
King, R. G., Plosser, C. I. and Rebelo, S. T. (1988) Production, growth and business cycles: I. The basic neoclassical model. Journal of Monetary Economics 21, 195–232.CrossRefGoogle Scholar
Krusell, P. and McKay, A. (2010) News shocks and business cycles. FRB Richmond Economic Quarterly 96, 373–397.Google Scholar
Kydland, F. E. and Prescott, E. C. (1982) Time to build and aggregate fluctuations. Econometrica: Journal of the Econometric Society 50, 1345–1370.CrossRefGoogle Scholar
Lorenzoni, G. (2009) A theory of demand shocks. American Economic Review 99, 2050–2084.CrossRefGoogle Scholar
Lucas, R. E. (1976) Econometric policy evaluation: A critique. In: Carnegie-Rochester Conference Series on Public Policy, vol. 1, pp. 19–46. Elsevier.Google Scholar
Lucas, R. E. (1978) Asset prices in an exchange economy. Econometrica: Journal of the Econometric Society 46, 1429–1445.CrossRefGoogle Scholar
Marcet, A. and Sargent, T. J. (1989a) Convergence of least-squares learning in environments with hidden state variables and private information. The Journal of Political Economy, 1306–1322.CrossRefGoogle Scholar
Marcet, A. and Sargent, T. J. (1989b) Convergence of least squares learning mechanisms in self-referential linear stochastic models. Journal of Economic theory 48, 337–368.CrossRefGoogle Scholar
Marcet, A. and Sargent, T. J. (1989c) Least-squares learning and the dynamics of hyperinflation. In: Barnett, W., Geweke, J., and Shell, K. (eds.), International Symposia in Economic Theory and Econometrics, pp. 119–137.Google Scholar
McCallum, B. T. (2007) E-stability vis-a-vis determinacy results for a broad class of linear rational expectations models. Journal of Economic Dynamics and Control 31, 1376–1391.CrossRefGoogle Scholar
Milani, F. (in press) Learning and the evolution of the fed’s inflation target. Macroeconomic Dynamics. doi: 10.1017/S136510051900004X.Google Scholar
Milani, F. and Treadwell, J. (2012) The effects of monetary policy “news” and “surprises”. Journal of Money, Credit and Banking 44, 1667–1692.CrossRefGoogle Scholar
Mitra, K., Evans, G. W. and Honkapohja, S. (2019) Fiscal policy multipliers in an RBC model with learning. Macroeconomic Dynamics 23, 240–283.CrossRefGoogle Scholar
Muth, J. F. (1961) Rational expectations and the theory of price movements. Econometrica: Journal of the Econometric Society 29, 315–335.CrossRefGoogle Scholar
Ramey, V. A. (2011) Identifying government spending shocks: It’s all in the timing. The Quarterly Journal of Economics 126, 1–50.CrossRefGoogle Scholar
Schmitt-Grohe, S. and Uribe, M. (2012) What’s news in business cycles. Econometrica 80, 2733–2764.Google Scholar
Sims, E. (2016) What’s news in news? A cautionary note on using a variance decomposition to assess the quantitative importance of news shocks. Journal of Economic Dynamics and Control 73, 41–60.CrossRefGoogle Scholar
Slobodyan, S. and Wouters, R. (2016) Adaptive Learning and Survey Expectations of Inflation, Unpublished Working Paper.Google Scholar
Stiglitz, J. E. (2014) Reconstructing Macroeconomic Theory to Manage Economic Policy Working Paper 20517, National Bureau of Economic Research.CrossRefGoogle Scholar