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Is autonomous demand really autonomous in the United States? An asymmetric frequency‐domain Granger causality approach

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  • José A. Pérez‐Montiel
  • Carles Manera

Abstract

We test whether the growth rate of autonomous demand determines the growth rate of output in the United States. We apply asymmetric frequency‐domain Granger causality tests. We find that negative and positive shocks in the growth rate of autonomous demand unidirectionally Granger‐cause negative and positive shocks in the growth rate of output, respectively. These results apply in the short and in the long run. Our results are important because, unlike the existing empirical literature on autonomous demand‐led growth, they validate the autonomy of autonomous demand in the short and in the long run; which is key for the consistency of the supermultiplier model.

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  • José A. Pérez‐Montiel & Carles Manera, 2022. "Is autonomous demand really autonomous in the United States? An asymmetric frequency‐domain Granger causality approach," Metroeconomica, Wiley Blackwell, vol. 73(1), pages 78-92, February.
    • Handle: RePEc:bla:metroe:v:73:y:2022:i:1:p:78-92
    DOI: 10.1111/meca.12354
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    Cited by:

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    2. Allain, Olivier, 2022. "A supermultiplier model with two non-capacity-generating semi-autonomous demand components," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 91-103.
    3. Pan, Zhigang & Bai, Zhihong & Xing, Xiaochao & Wang, Zhufeng, 2024. "US inflation and global commodity prices: Asymmetric interdependence," Research in International Business and Finance, Elsevier, vol. 69(C).
    4. Jose Barrales‐Ruiz & Rudiger von Arnim & Mikidadu Mohammed, 2023. "Income distribution and economic activity: A frequency domain causal exploration," Metroeconomica, Wiley Blackwell, vol. 74(2), pages 306-327, May.
    5. Kais Tissaoui & Ilyes Abidi & Nadia Azibi & Mariem Nsaibi, 2024. "Spillover Effects between Crude Oil Returns and Uncertainty: New Evidence from Time-Frequency Domain Approaches," Energies, MDPI, vol. 17(2), pages 1-24, January.

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