Asymmetric Price Adjustment in the US Gasoline Industry: Evidence from Bayesian Threshold Dynamic Panel Data Models
Michael Polemis () and
International Journal of the Economics of Business, 2017, vol. 24, issue 1, 91-128
This paper investigates the gasoline price adjustment to changes in the input cost price for a panel of 48 US states using a monthly data set covering the period 1994–2011. We build, for the first time, a non-linear threshold panel vector-error-correction model (PVECM) and propose efficient Markov chain Monte Carlo (MCMC) Bayesian techniques. Our findings indicate that states with high margin experience a slower adjustment and a more asymmetric response to input price cost shocks. Our results are robust to potential structural breaks in the threshold parameter, which is important as market conditions change over time and are very sensitive to production/consumption constraints. Lastly, we attribute fluctuations in the gasoline prices to input cost shocks, arguing that the peak responses occurring one month after the shock are short-lived.
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4) Track citations by RSS feed
Downloads: (external link)
Access to full text is restricted to subscribers.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:taf:ijecbs:v:24:y:2017:i:1:p:91-128
Ordering information: This journal article can be ordered from
Access Statistics for this article
International Journal of the Economics of Business is currently edited by Eleanor Morgan
More articles in International Journal of the Economics of Business from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().