Oil Price Shocks and Economic Growth in the Us
Michael Alexeev and
Yao-Yu Chih ()
Additional contact information
Yao-Yu Chih: Texas State University
No 2017-011, CAEPR Working Papers from Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington
Abstract:
We apply both conventional and spatial techniques to panel data for US states to examine the effects of plausibly exogenous oil price shocks on economic growth. Contrary to the oil curse claims, we find that oil price shocks have numerically moderate but highly statistically significant positive direct effects on growth while the indirect effects are insignificant. We also find that positive impact of oil occurs only in states with a high value of the economic freedom index. In a technical contribution to the spatial econometrics literature we propose a procedure for estimating marginal effects of oil price shocks in a model with interaction terms. In addition, we show that the cumulative direct oil price effects on economic growth are persistent over time.
Keywords: oil curse; regional economic growth; spatial lags (search for similar items in EconPapers)
JEL-codes: C33 Q32 R11 (search for similar items in EconPapers)
Pages: 39 pages
Date: 2017-10
New Economics Papers: this item is included in nep-ene, nep-geo, nep-gro and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://caepr.indiana.edu/RePEc/inu/caeprp/caepr2017-011.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inu:caeprp:2017011
Access Statistics for this paper
More papers in CAEPR Working Papers from Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington Contact information at EDIRC.
Bibliographic data for series maintained by Center for Applied Economics and Policy Research ().