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Inference Based on SVAR Identified with Sign and Zero Restrictions: Theory and Applications

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  • Arias, Jonas E.
  • Rubio-Ramírez, Juan Francisco
  • Waggoner, Daniel F

Abstract

Are optimism shocks an important source of business cycle fluctuations? Are deficit-financed tax cuts better than deficit-financed spending to increase output? These questions have been previously studied using SVARs identified with sign and zero restrictions and the answers have been positive and definite in both cases. While the identification of SVARs with sign and zero restrictions is theoretically attractive because it allows the researcher to remain agnostic with respect to the responses of the key variables of interest, we show that current implementation of these techniques does not respect the agnosticism of the theory. These algorithms impose additional sign restrictions on variables that are seemingly unrestricted that bias the results and produce misleading confidence intervals. We provide an alternative and efficient algorithm that does not introduce any additional sign restriction, hence preserving the agnosticism of the theory. Without the additional restrictions, it is hard to support the claim that either optimism shocks are an important source of business cycle fluctuations or deficit-financed tax cuts work best at improving output. Our algorithm is not only correct but also faster than current ones.

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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 9796.

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Date of creation: Jan 2014
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Handle: RePEc:cpr:ceprdp:9796

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Keywords: Fiscal Shocks; Optimism; Sign and Zero Restrictions; SVARs;

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  1. Waggoner, Daniel F. & Zha, Tao, 2003. "Likelihood preserving normalization in multiple equation models," Journal of Econometrics, Elsevier, vol. 114(2), pages 329-347, June.
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Cited by:
  1. Alex Haberis & Andrej Sokol, 2014. "A procedure for combining zero and sign restrictions in a VAR-identification scheme," Discussion Papers 1410, Centre for Macroeconomics (CFM).

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