Abstract
AbstractWe propose a new bootstrap algorithm for inference for impulse responses in structural vector autoregressive models identified with an external proxy variable. Simulations show that the new bootstrap algorithm provides confidence intervals for impulse responses which often have more precise coverage than and similar length to the competing moving-block bootstrap intervals. An empirical example shows how the new bootstrap algorithm can be applied in the context of identifying monetary policy shocks.
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Economics, Econometrics and Finance (miscellaneous)
Reference22 articles.
1. Brüggemann, R., Jentsch, C., & Trenkler, C. (2016). Inference in VARs with conditional heteroskedasticity of unknown form. Journal of Econometrics, 191, 69–85.
2. Bruns, M., & Lütkepohl, H. (2022). Comparison of local projection estimators for proxy vector autoregressions. Journal of Economic Dynamics and Control, 134, 104277.
3. Carriero, A., Mumtaz, H., Theodoridis, K., & Theophilopoulou, A. (2015). The impact of uncertainty shocks under measurement error: A proxy SVAR approach. Journal of Money, Credit and Banking, 47, 1223–1238.
4. Davidson, R., & MacKinnon, J. G. (2004). Econometric theory and methods. New York: Oxford University Press.
5. Gertler, M., & Karadi, P. (2015). Monetary policy surprises, credit costs, and economic activity. American Economic Journal: Macroeconomics, 7, 44–76.
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