Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kannika Duangnate"'
Autor:
James W. Mjelde, Kannika Duangnate
Publikováno v:
Energies, Vol 16, Iss 11, p 4426 (2023)
An overview of the literature considering committed quantities in demand estimation for various commodities with an emphasis on energy commodities is presented. This overview provides a definition and the history of committed quantities, along with d
Externí odkaz:
https://doaj.org/article/12258476e37a49b083d240169a7f06df
Autor:
Kannika Duangnate, James W. Mjelde
Publikováno v:
Energies, Vol 15, Iss 4, p 1578 (2022)
In the present paper, an investigation into Thailand’s energy demand is performed to determine if: (1) a linear or nonlinear Engel curve better explains the relationship between income and energy consumption, and (2) systems with pre-commitments be
Externí odkaz:
https://doaj.org/article/e98d5babb3e3403cb22bf0ca452f5f35
Autor:
Kannika Duangnate, James W. Mjelde
Publikováno v:
Empirical Economics. 59:2363-2384
The natural gas sector has undergone major regulatory and technological changes. These changes may induce structural changes in price relationships among natural gas markets. Tests for structural breaks suggest two potential structural breaks, around
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03f69525caa05422d3a04f2daa750daf
https://doi.org/10.1007/s00181-019-01706-4
https://doi.org/10.1007/s00181-019-01706-4
Autor:
Kannika Duangnate, James W. Mjelde
Publikováno v:
The Journal of Energy Markets.
In this paper, we use threshold cointegration to examine price differentials between crude oil spot markets in the US for the periods before (2000–2007) and after (2010–17) the advent of major technological and other changes impacting the oil sec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::057d8ed399de0e93d35044fe30daeb79
https://doi.org/10.21314/jem.2021.003
https://doi.org/10.21314/jem.2021.003
Autor:
Kannika Duangnate, James W. Mjelde
Publikováno v:
Energy Economics. 65:411-423
Time series models derived from using data-rich and small-scale data techniques are estimated to examine: 1) if data-rich methods forecast natural withdrawals better than typical small-scale data, time series methods; and 2) how the number of unobser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cf1a5ea733eacd78012302384883b17
https://doi.org/10.1016/j.eneco.2017.04.024
https://doi.org/10.1016/j.eneco.2017.04.024