US Natural Gas Market Classification Using Pooled Regression
Joint Authors
Matis, Timothy I.
Pérez-Valdés, Gerardo A.
Kalashnikov, Vyacheslav V.
Kalashnykova, Nataliya I.
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-23
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Natural gas marketing has considerably evolved since the early 1990s, when a set of liberalizing rules were passed in both the United States and the European Union that eliminated state-driven regulations in favor of open energy markets.
These new rules changed many things in the business of energetics, and therefore new research opportunities arose.
Econometric studies about natural gas emerged as an important area of study since natural gas may now be sold and traded in a number of stock markets, each one responding to potentially different behavioral drives.
In this work, we present a method to differentiate sets of time series based on a regression model relating price, consumption, supply, and other factors.
Our objective is to develop a method to classify different areas, regions, or states into groups or classes that share similar regression parameters.
Once obtained, these groups may be used to make assumptions about corresponding natural gas prices in further studies.
American Psychological Association (APA)
Kalashnikov, Vyacheslav V.& Pérez-Valdés, Gerardo A.& Matis, Timothy I.& Kalashnykova, Nataliya I.. 2014. US Natural Gas Market Classification Using Pooled Regression. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-491238
Modern Language Association (MLA)
Kalashnikov, Vyacheslav V.…[et al.]. US Natural Gas Market Classification Using Pooled Regression. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-491238
American Medical Association (AMA)
Kalashnikov, Vyacheslav V.& Pérez-Valdés, Gerardo A.& Matis, Timothy I.& Kalashnykova, Nataliya I.. US Natural Gas Market Classification Using Pooled Regression. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-491238
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-491238