Arbeitspapier

Inference for impulse responses

Poor identification of individual impulse response coefficients does not necessarily mean that an impulse response is imprecisely estimated. This paper introduces a three-pronged approach on how to communicate uncertainty of impulse response estimates: (1) withWald tests of joint significance; (2) with conditional t-tests of individual marginal coefficient significance; and (3) with fan charts based on the percentiles of the joint Wald statistics. The paper also shows how to anchor the impulse response analysis with a priori economic restrictions that can be formally tested and used to tighten structural identification. These methods are universal and do not depend on how the impulse responses are estimated. An empirical application illustrates the techniques in practice.

Language
Englisch

Bibliographic citation
Series: Working Paper ; No. 07-7

Classification
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Money and Interest Rates: Forecasting and Simulation: Models and Applications
Forecasting Models; Simulation Methods
Subject
impulse response function
local projections
vector autoregressions

Event
Geistige Schöpfung
(who)
Jordà, Òscar
Event
Veröffentlichung
(who)
University of California, Department of Economics
(where)
Davis, CA
(when)
2007

Handle
Last update
10.03.2025, 11:41 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Jordà, Òscar
  • University of California, Department of Economics

Time of origin

  • 2007

Other Objects (12)