Shock Restricted Structural Vector-Autoregressions
Identifying assumptions need to be imposed on autoregressive models before they can be used to analyze the dynamic effects of economically interesting shocks. Often, the assumptions are only rich enough to identify a set of solutions. This paper considers two types of restrictions on the structural shocks that can help reduce the number of plausible solutions. The first is imposed on the sign and magnitude of the shocks during unusual episodes in history. The second restricts the correlation between the shocks and components of variables external to the autoregressive model. These non-linear inequality constraints can be used in conjunction with zero and sign restrictions that are already widely used in the literature. The effectiveness of our constraints are illustrated using two applications of the oil market and Monte Carlo experiments calibrated to study the role of uncertainty shocks in economic fluctuations.
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|Date of creation:||Mar 2017|
|Note:||AP EFG ME|
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- Hyungsik Roger Moon & Frank Schorfheide & Eleonora Granziera & Mihye Lee, 2011.
"Inference for VARs Identified with Sign Restrictions,"
NBER Working Papers
17140, National Bureau of Economic Research, Inc.
- Hyungsik Roger Moon & Frank Schorfheide & Eleonara Granziera & Mihye Lee, 2011. "Inference for VARs identified with sign restrictions," Working Papers 11-20, Federal Reserve Bank of Philadelphia.
- Granziera, Eleonora & Lee, Mihye & Moon, Hyungsik Roger & Schorfheide, Frank, 2011. "Inference for VARs Identified with Sign Restrictions," CEPR Discussion Papers 8432, C.E.P.R. Discussion Papers.
- Juan F. Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2010. "Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference," Review of Economic Studies, Oxford University Press, vol. 77(2), pages 665-696.
- Juan F. Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2008. "Structural vector autoregressions: theory of identification and algorithms for inference," FRB Atlanta Working Paper 2008-18, Federal Reserve Bank of Atlanta.
- Lutz Kilian, 2008. "Exogenous Oil Supply Shocks: How Big Are They and How Much Do They Matter for the U.S. Economy?," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 216-240, May.
- Kilian, Lutz, 2005. "Exogenous Oil Supply Shocks: How Big Are They and How Much do they Matter for the US Economy?," CEPR Discussion Papers 5131, C.E.P.R. Discussion Papers.
- Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
- Lutz Kilian & Daniel P. Murphy, 2012. "Why Agnostic Sign Restrictions Are Not Enough: Understanding The Dynamics Of Oil Market Var Models," Journal of the European Economic Association, European Economic Association, vol. 10(5), pages 1166-1188, October.
- Kilian, Lutz & Murphy, Daniel P, 2009. "Why Agnostic Sign Restrictions Are Not Enough: Understanding the Dynamics of Oil Market VAR Models," CEPR Discussion Papers 7471, C.E.P.R. Discussion Papers.
- Antolin-Diaz, Juan & Rubio-Ramírez, Juan Francisco, 2016. "Narrative Sign Restrictions for SVARs," CEPR Discussion Papers 11517, C.E.P.R. Discussion Papers.
- Antolin-Diaz, Juan & Rubio-Ramirez, Juan F., 2016. "Narrative Sign Restrictions for SVARs," FRB Atlanta Working Paper 2016-16, Federal Reserve Bank of Atlanta.
- Hyungsik Roger Moon & Frank Schorfheide, 2012. "Bayesian and Frequentist Inference in Partially Identified Models," Econometrica, Econometric Society, vol. 80(2), pages 755-782, 03.
- Hyungsik Roger Moon & Frank Schorfheide, 2009. "Bayesian and Frequentist Inference in Partially Identified Models," NBER Working Papers 14882, National Bureau of Economic Research, Inc.
- Valerie A. Ramey, 2016. "Macroeconomic Shocks and Their Propagation," NBER Working Papers 21978, National Bureau of Economic Research, Inc. Full references (including those not matched with items on IDEAS)
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