Electricity supply shocks and economic growth across the US states: evidence from a time-varying Bayesian panel VAR model, aggregate and disaggregate energy sources
Nicholas Apergis () and
Michael Polemis ()
MPRA Paper from University Library of Munich, Germany
This paper investigates spillovers between electricity supply shocks and US growth, using monthly data from 48 US States, spanning the period January 2001-September 2016, while employs a novel strategy for electricity supply shocks based on a time-varying Bayesian panel VAR model. It accounts for the decomposition of electricity supply per fuel mixture and links its possible interactions with the US macroeconomic conditions. In that sense, the methodology models the coefficients as a stochastic function of multiple structural characteristics. The findings document that GDP growth increases after a positive electricity supply shock, irrelevant to the source of energy that generates it.
Keywords: Time-varying coefficient Bayesian panel VAR; electricity shocks; macroeconomic performance; impulse responses functions; US states. (search for similar items in EconPapers)
JEL-codes: C33 O44 R11 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ene and nep-reg
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:84954
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