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...

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Detalhes bibliográficos
Autores: Cárdenas J., Gutiérrez Ramírez, Luis Hernando, Otero Cardona, Jesús Gilberto
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:Colombia
Recursos:Universidad del Rosario
Repositorio:Repositorio EdocUR - U. Rosario
Idioma:inglés
OAI Identifier:oai:repository.urosario.edu.co:10336/23934
Acesso em linha:https://doi.org/10.1016/j.eneco.2017.03.004
https://repository.urosario.edu.co/handle/10336/23934
Access Level:acceso abierto
Palavra-chave:Commerce
Gasoline
Time series analysis
Cointegration
Diesel prices
Empirical analysis
Exogenous shocks
Geographical separation
Market integration
Pair-wise
Petrol stations
Costs
Cointegration analysis
Diesel
Energy market
Price dynamics
Time series
France
Speed of adjustment
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spelling Investigating diesel market integration in France: Evidence from micro dataCárdenas J.Gutiérrez Ramírez, Luis HernandoOtero Cardona, Jesús GilbertoCommerceGasolineTime series analysisCointegrationDiesel pricesEmpirical analysisExogenous shocksGeographical separationMarket integrationPair-wisePetrol stationsCostsCointegration analysisDieselEmpirical analysisEnergy marketPrice dynamicsTime seriesFranceCointegrationDiesel pricesPair-wiseSpeed of adjustmentWe 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.Elsevier B.V.20172020-05-26T00:06:50Zinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.1016/j.eneco.2017.03.0040140988318736181https://repository.urosario.edu.co/handle/10336/23934reponame:Repositorio EdocUR - U. Rosarioinstname:Universidad del Rosarioinstacron:Universidad del Rosarioenghttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85016147662&doi=10.1016%2fj.eneco.2017.03.004&partnerID=40&md5=79258df9266cb9fbbf930269a0012b1cinfo:eu-repo/semantics/openAccess2022-05-02T07:37:16Z
dc.title.none.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
Cárdenas J.
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.creator.none.fl_str_mv Cárdenas J.
Gutiérrez Ramírez, Luis Hernando
Otero Cardona, Jesús Gilberto
author Cárdenas J.
author_facet Cárdenas J.
Gutiérrez Ramírez, Luis Hernando
Otero Cardona, Jesús Gilberto
author_role author
author2 Gutiérrez Ramírez, Luis Hernando
Otero Cardona, Jesús Gilberto
author2_role author
author
dc.subject.none.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.none.fl_str_mv 2017
2020-05-26T00:06:50Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.eneco.2017.03.004
01409883
18736181
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.none.fl_str_mv eng
language eng
dc.relation.none.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.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv reponame:Repositorio EdocUR - U. Rosario
instname:Universidad del Rosario
instacron:Universidad del Rosario
instname_str Universidad del Rosario
instacron_str Universidad del Rosario
institution Universidad del Rosario
reponame_str Repositorio EdocUR - U. Rosario
collection Repositorio EdocUR - U. Rosario
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score 15,228081

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