Investigating diesel market integration in France: Evidence from micro data
We use station-level daily price observations collected over a period of eight years to study the extent of diesel market integration in France. The empirical analysis starts off by examining the time-series properties of diesel price ratios, and then assesses how geographical separation and petrol...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/23934
- Acceso en línea:
- https://doi.org/10.1016/j.eneco.2017.03.004
https://repository.urosario.edu.co/handle/10336/23934
- Palabra clave:
- Commerce
Gasoline
Time series analysis
Cointegration
Diesel prices
Empirical analysis
Exogenous shocks
Geographical separation
Market integration
Pair-wise
Petrol stations
Costs
Cointegration analysis
Diesel
Empirical analysis
Energy market
Price dynamics
Time series
France
Cointegration
Diesel prices
Pair-wise
Speed of adjustment
- Rights
- License
- Abierto (Texto Completo)
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4d81f3fe-0870-4e60-a4aa-33a27e00ceb58670596600792428146002020-05-26T00:06:50Z2020-05-26T00:06:50Z2017We use station-level daily price observations collected over a period of eight years to study the extent of diesel market integration in France. The empirical analysis starts off by examining the time-series properties of diesel price ratios, and then assesses how geographical separation and petrol station characteristics affect the speed of adjustment of prices to exogenous shocks. Our findings reveal that the great majority of diesel price ratios maintain stable long run relationships. We also find that while price ratios take longer to adjust for pairs of petrol stations that are farther apart, adjustment is quicker when pairs of petrol stations provide the same range of services, and when they belong to the same owner. © 2017 Elsevier B.V.application/pdfhttps://doi.org/10.1016/j.eneco.2017.03.0040140988318736181https://repository.urosario.edu.co/handle/10336/23934engElsevier B.V.321314Energy EconomicsVol. 63Energy Economics, ISSN:01409883, 18736181, Vol.63,(2017); pp. 314-321https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016147662&doi=10.1016%2fj.eneco.2017.03.004&partnerID=40&md5=79258df9266cb9fbbf930269a0012b1cAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURCommerceGasolineTime series analysisCointegrationDiesel pricesEmpirical analysisExogenous shocksGeographical separationMarket integrationPair-wisePetrol stationsCostsCointegration analysisDieselEmpirical analysisEnergy marketPrice dynamicsTime seriesFranceCointegrationDiesel pricesPair-wiseSpeed of adjustmentInvestigating diesel market integration in France: Evidence from micro dataarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Cárdenas J.Gutiérrez Ramírez, Luis HernandoOtero Cardona, Jesús Gilberto10336/23934oai:repository.urosario.edu.co:10336/239342022-05-02 07:37:16.908019https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Investigating diesel market integration in France: Evidence from micro data |
title |
Investigating diesel market integration in France: Evidence from micro data |
spellingShingle |
Investigating diesel market integration in France: Evidence from micro data Commerce Gasoline Time series analysis Cointegration Diesel prices Empirical analysis Exogenous shocks Geographical separation Market integration Pair-wise Petrol stations Costs Cointegration analysis Diesel Empirical analysis Energy market Price dynamics Time series France Cointegration Diesel prices Pair-wise Speed of adjustment |
title_short |
Investigating diesel market integration in France: Evidence from micro data |
title_full |
Investigating diesel market integration in France: Evidence from micro data |
title_fullStr |
Investigating diesel market integration in France: Evidence from micro data |
title_full_unstemmed |
Investigating diesel market integration in France: Evidence from micro data |
title_sort |
Investigating diesel market integration in France: Evidence from micro data |
dc.subject.keyword.spa.fl_str_mv |
Commerce Gasoline Time series analysis Cointegration Diesel prices Empirical analysis Exogenous shocks Geographical separation Market integration Pair-wise Petrol stations Costs Cointegration analysis Diesel Empirical analysis Energy market Price dynamics Time series France Cointegration Diesel prices Pair-wise Speed of adjustment |
topic |
Commerce Gasoline Time series analysis Cointegration Diesel prices Empirical analysis Exogenous shocks Geographical separation Market integration Pair-wise Petrol stations Costs Cointegration analysis Diesel Empirical analysis Energy market Price dynamics Time series France Cointegration Diesel prices Pair-wise Speed of adjustment |
description |
We use station-level daily price observations collected over a period of eight years to study the extent of diesel market integration in France. The empirical analysis starts off by examining the time-series properties of diesel price ratios, and then assesses how geographical separation and petrol station characteristics affect the speed of adjustment of prices to exogenous shocks. Our findings reveal that the great majority of diesel price ratios maintain stable long run relationships. We also find that while price ratios take longer to adjust for pairs of petrol stations that are farther apart, adjustment is quicker when pairs of petrol stations provide the same range of services, and when they belong to the same owner. © 2017 Elsevier B.V. |
publishDate |
2017 |
dc.date.created.spa.fl_str_mv |
2017 |
dc.date.accessioned.none.fl_str_mv |
2020-05-26T00:06:50Z |
dc.date.available.none.fl_str_mv |
2020-05-26T00:06:50Z |
dc.type.eng.fl_str_mv |
article |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.spa.spa.fl_str_mv |
Artículo |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1016/j.eneco.2017.03.004 |
dc.identifier.issn.none.fl_str_mv |
01409883 18736181 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/23934 |
url |
https://doi.org/10.1016/j.eneco.2017.03.004 https://repository.urosario.edu.co/handle/10336/23934 |
identifier_str_mv |
01409883 18736181 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationEndPage.none.fl_str_mv |
321 |
dc.relation.citationStartPage.none.fl_str_mv |
314 |
dc.relation.citationTitle.none.fl_str_mv |
Energy Economics |
dc.relation.citationVolume.none.fl_str_mv |
Vol. 63 |
dc.relation.ispartof.spa.fl_str_mv |
Energy Economics, ISSN:01409883, 18736181, Vol.63,(2017); pp. 314-321 |
dc.relation.uri.spa.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016147662&doi=10.1016%2fj.eneco.2017.03.004&partnerID=40&md5=79258df9266cb9fbbf930269a0012b1c |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.acceso.spa.fl_str_mv |
Abierto (Texto Completo) |
rights_invalid_str_mv |
Abierto (Texto Completo) http://purl.org/coar/access_right/c_abf2 |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Elsevier B.V. |
institution |
Universidad del Rosario |
dc.source.instname.spa.fl_str_mv |
instname:Universidad del Rosario |
dc.source.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional EdocUR |
repository.name.fl_str_mv |
Repositorio institucional EdocUR |
repository.mail.fl_str_mv |
edocur@urosario.edu.co |
_version_ |
1814167437767081984 |