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Inference for Local Projections

Author

Listed:
  • Inoue, Atsushi
  • Jordà , Oscar
  • Kuersteiner, Guido

Abstract

Inference for impulse responses estimated with local projections presents interesting challenges and opportunities. Analysts typically want to assess the precision of individual estimates, explore the dynamic evolution of the response over particular regions, and generally determine whether the impulse generates a response that is any different from the null of no effect. Each of these goals requires a different approach to inference. In this article, we provide an overview of results that have appeared in the literature in the past 20 years along with some new procedures that we introduce here.

Suggested Citation

  • Inoue, Atsushi & Jordà , Oscar & Kuersteiner, Guido, 2024. "Inference for Local Projections," CEPR Discussion Papers 19379, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:19379
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    File URL: https://cepr.org/publications/DP19379
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    Cited by:

    1. is not listed on IDEAS
    2. Eric Fortier, 2026. "Specification Choice in Local Projections: Evidence from Monetary Policy Shocks," Discussion Papers dp26-01, Department of Economics, Simon Fraser University.

    More about this item

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

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