Building a panel data set on fuel stations located in the Spanish regional areas of Madrid and Barcelona

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comunitat-uji-handle:10234/9

comunitat-uji-handle2:10234/8643

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Title
Building a panel data set on fuel stations located in the Spanish regional areas of Madrid and Barcelona
Author (s)
 Balaguer, Jacint;
 Ripollés, Jordi
Date
2016
Publisher
Elsevier
URI
http://hdl.handle.net/10234/165020
DOI
https://doi.org/10.1016/j.dib.2016.01.063
ISSN
2352-3409
Bibliographic citation
BALAGUER, Jacint; RIPOLLÉS, Jordi. Building a panel data set on fuel stations located in the Spanish regional areas of Madrid and Barcelona. Data in brief, 2016, vol. 7, p. 135-138.
Type
info:eu-repo/semantics/article
Publisher version
http://www.sciencedirect.com/science/article/pii/S2352340916300154
Version
info:eu-repo/semantics/publishedVersion
Subject
Abstract
The data described in this article were collected daily over the period June 10, 2010, to November 25, 2012, from the website of the Spanish Ministry of Industry, Energy and Tourism. The database includes information ... [+]
The data described in this article were collected daily over the period June 10, 2010, to November 25, 2012, from the website of the Spanish Ministry of Industry, Energy and Tourism. The database includes information about fuel stations regarding to their prices (both gross and net of taxes), brand, location (latitude and longitude), and postal code in the Spanish provinces of Madrid and Barcelona. Moreover, obtaining the postal codes has allowed us to select those stations that are operating within the metropolitan areas of Madrid and Barcelona. By considering those fuel stations that uninterruptedly provided prices during the entire period, the data can be especially useful to explore the dynamics of prices in fuel markets. This is the case of Balaguer and Ripollés (2016), “Asymmetric fuel price responses under heterogeneity” [1], who, taking into account the presence of the potential heterogeneity of the behaviour of fuel stations, used this statistical information to perform an analysis on asymmetric fuel price responses. [-]
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Data in brief, 2016, vol. 7
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info:eu-repo/semantics/openAccess
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2016 The Authors. Published by Elsevier Inc.This is an open access article under the CC-BY license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as 2016 The Authors. Published by Elsevier Inc.This is an open access article under the CC-BY license (http://creativecommons.org/licenses/by/4.0/).