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Combining Proxies and Narrative Sign Restrictions: Revisiting the Effects of Technology Shocks

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  • Yang Yang
  • Ren Zhang

Abstract

This paper proposes a novel integration of the proxy structural vector autoregression approach with narrative sign restrictions to identify multiple shocks with multiple instrumental variables. We show that this combination leads to informative inferences on shock effects through both analytical demonstrations and Monte Carlo simulations. Applying this method to identify anticipated and unanticipated technology shocks, we find that anticipated shocks account for over 45% of stock price variation but only about 13% of total factor productivity (TFP) fluctuations. The majority of TFP variations are driven by unanticipated technology shocks and measurement errors.

Suggested Citation

  • Yang Yang & Ren Zhang, 2025. "Combining Proxies and Narrative Sign Restrictions: Revisiting the Effects of Technology Shocks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(5), pages 554-568, August.
    • Handle: RePEc:wly:japmet:v:40:y:2025:i:5:p:554-568
    DOI: 10.1002/jae.3129
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    References listed on IDEAS

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