Understanding the US natural gas market: A Markov switching VAR approach

Chenghan Hou and Bao H. Nguyen

Energy Economics, 2018, vol. 75, issue C, 42-53

Abstract: Over the past three decades, the US natural gas market has witnessed significant changes. Utilizing a standard Bayesian model comparison method, this paper formally determines four regimes existing in the market. It then employs a Markov switching vector autoregressive model to investigate the regime-dependent responses of the market to its fundamental shocks. The results reveal that the US natural gas market tends to be much more sensitive to shocks occurring in regimes existing after the Decontrol Act 1989 than the other regimes. The paper also finds that shocks to the natural gas demand and price have negligible effects on natural gas production while the price of natural gas is mainly driven by specific demand shocks. Augmenting the model by incorporating the price of crude oil, the results show that the impacts of oil price shocks on natural gas prices are relatively small and regime-dependent.

Keywords: Natural gas market; Bayesian model comparison; Markov switching VAR model (search for similar items in EconPapers)
JEL-codes: C32 E32 Q4 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (27)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:75:y:2018:i:c:p:42-53

DOI: 10.1016/j.eneco.2018.08.004

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