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Does Capacity Utilization Predict Inflation? A Wavelet Based Evidence from United States

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  • Pejman Bahramian

    (Queen’s University)

  • Andisheh Saliminezhad

    (Near East University)

Abstract

This paper aims to test a causal nexus between capacity utilization and inflation in the United States for the period from January 1969 to June 2017. Given the non-validity of the constant-parameter linear model (i.e., standard linear Granger causality) in attendance of nonlinearities and structural breaks, we use wavelets to provide a more general picture of the link between the U.S. capacity utilization and U.S. inflation in both time and frequency domains. The findings indicate a positive co-movement between the variables, mainly at high frequencies (shorter term). In addition, we do find evidence of a significant bi-causal relationship between capacity utilization rate and inflation per different frequency, whereas standard linear Granger causality detects a unidirectional link from inflation to capacity utilization. In general, our findings suggest a notable implication for policy makers that are in contradiction to the view of recent scholars regarding deterioration in the inflation–utilisation nexus.

Suggested Citation

  • Pejman Bahramian & Andisheh Saliminezhad, 2021. "Does Capacity Utilization Predict Inflation? A Wavelet Based Evidence from United States," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1103-1125, December.
  • Handle: RePEc:kap:compec:v:58:y:2021:i:4:d:10.1007_s10614-020-09990-4
    DOI: 10.1007/s10614-020-09990-4
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