Advances and Applications in Statistics

The Advances and Applications in Statistics is an internationally recognized journal indexed in the Emerging Sources Citation Index (ESCI). It provides a platform for original research papers and survey articles in all areas of statistics, both computational and experimental in nature.

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PERSISTENCE AND SEASONALITY IN THE US INDUSTRIAL PRODUCTION INDEX

Authors

  • Guglielmo Maria Caporale
  • Luis A. Gil-Alana
  • Carlos Poza
  • Alvaro Baños Izquierdo

Keywords:

industrial production index, seasonality, persistence, fractional integration, time series

DOI:

https://doi.org/10.17654/0972361725041

Abstract

This paper uses a seasonal long-memory model to capture the behaviour of the US industrial production index (IPI) over the period 1919Q1-2022Q4. This series is found to display a large value of the periodogram at the zero, long-run frequency, and to exhibit an order of integration around 1. When first differences (of either the original data or their logged values) are taken, evidence of seasonality is obtained; more specifically, deterministic seasonality is rejected in favour of a seasonal fractional integration model with an order of integration equal to 0.14 for the original data and 0.29 for their logged values, which implies the presence of a seasonal long-memory mean reverting pattern.

Received: September 20, 2023
Accepted: November 24, 2023

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Published

14-05-2025

Issue

Section

Articles

How to Cite

PERSISTENCE AND SEASONALITY IN THE US INDUSTRIAL PRODUCTION INDEX. (2025). Advances and Applications in Statistics , 92(7), 963-972. https://doi.org/10.17654/0972361725041

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