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...

Full description

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)
id EDOCUR2_49b55fea7ea7ff96d37a3b379b50fa1d
oai_identifier_str oai:repository.urosario.edu.co:10336/23934
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 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