Does the shale gas boom change the natural gas price-production relationship? Evidence from the U.S. market
Tài liệu tham khảo
Arora, 2014
Aruga, 2016, The US shale gas revolution and its effect on international gas markets, J. Unconv. Oil Gas Resour., 14, 1, 10.1016/j.juogr.2015.11.002
Bai, 2010, Panel unit root tests with cross-section dependence: a further investigation, Economet. Theor., 26, 1088, 10.1017/S0266466609990478
Bai, 1998, Estimating and testing linear models with multiple structural changes, Econometrica, 47, 10.2307/2998540
Bai, 2003, Computation and analysis of multiple structural change models, J. Appl. Econ., 18, 1, 10.1002/jae.659
Bai, 2004, A PANIC attack on unit roots and cointegration, Econometrica, 72, 1127, 10.1111/j.1468-0262.2004.00528.x
Banerjee, 2015, Cointegration in panel data with structural breaks and cross-section dependence, J. Appl. Econ., 30, 1, 10.1002/jae.2348
Brigida, 2014, The switching relationship between natural gas and crude oil prices, Energy Econ., 43, 48, 10.1016/j.eneco.2014.01.014
Brown, 2010, Abundant shale gas resources: long-term implications for U.S. natural gas markets, dp
Caporin, 2017, The long-run oil–natural gas price relationship and the shale gas revolution, Energy Econ., 64, 511, 10.1016/j.eneco.2016.07.024
Dickey, 1979, Distribution of the estimators for autoregressive time series with a unit root, J. Am. Stat. Assoc., 74, 427, 10.1080/01621459.1979.10482531
EIA
Erdős, 2012, Natural gas prices on three continents, Energies, 5, 4040, 10.3390/en5104040
Finkel, 2011, The rush to drill for natural gas: a public health cautionary tale, Am. J. Public Health, 101, 10.2105/AJPH.2010.300089
Foss, 2007
Geng, 2016, How regional natural gas markets have reacted to oil price shocks before and since the shale gas revolution: a multi-scale perspective, J. Nat. Gas Sci. Eng., 36, 734, 10.1016/j.jngse.2016.11.020
Ghouri, 2010, Forecasting natural gas prices using cointegration technique, OPEC Rev., 30, 249, 10.1111/j.1468-0076.2006.00171.x
Hall, 1994, Testing for a unit root in time series with pretest data-based model selection, J. Bus. Econ. Stat., 12, 461
Hartley, 2014, The relationship between crude oil and natural gas prices: the role of the exchange rate, Energy J., 25
Hou, 2018
Hu, 2019, Do shale gas and oil productions move in convergence? An investigation using unit root tests with structural breaks, Econ. Model., 10.1016/j.econmod.2018.12.006
Israel, 2015, Eliciting public concerns about an emerging energy technology: the case of unconventional shale gas development in the United States, Energy Res. Soc. Sci., 8, 139, 10.1016/j.erss.2015.05.002
Ji, 2014, Separated influence of crude oil prices on regional natural gas import prices, Energy Policy, 70, 96, 10.1016/j.enpol.2014.03.019
Johansen, 1988, Statistical analysis of cointegration vectors, J. Econ. Dyn. Control., 12, 231, 10.1016/0165-1889(88)90041-3
Johansen, 1991, Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models, Econometrica, 59, 1551, 10.2307/2938278
Johansen, 1990, Maximum likelihood estimation and inference on cointegration—with applications to the demand for money, Oxf. Bull. Econ. Stat., 52, 169, 10.1111/j.1468-0084.1990.mp52002003.x
Lee, 2003, Minimum Lagrange multiplier unit root test with two structural breaks, Rev. Econ. Stat., 85, 1082, 10.1162/003465303772815961
Lee, J. and Strazicich, M. (2004) Minimum LM Unit Root Test with One Structural Break. Appalachian State University, Department of Economics, Working Paper, No.2004/17.
Lovejoy, C. L. (2012). The Rise of Shale Gas: Implications of the Shale Gas Boom for Natural Gas Markets, Environmental Protection and U.S. Energy Policy. Dissertations & Theses - Gradworks.
MacKinnon, 1996, Numerical distribution functions for unit root and cointegration tests, J. Appl. Econ., 11, 601, 10.1002/(SICI)1099-1255(199611)11:6<601::AID-JAE417>3.0.CO;2-T
Medlock, 2012, Modeling the implications of expanded US shale gas production, Energ. Strat. Rev., 1, 33, 10.1016/j.esr.2011.12.002
Moryadee, 2014, Investigating the potential effects of U.S. LNG exports on global natural gas markets, Energ. Strat. Rev., 2, 273, 10.1016/j.esr.2013.12.004
Narayan, 2015, A unit root model for trending time-series energy variables, Energy Econ., 50, 391, 10.1016/j.eneco.2014.11.021
Narayan, 2010, A new unit root test with two structural breaks in level and slope at unknown time, J. Appl. Stat., 37, 1425, 10.1080/02664760903039883
Narayan, 2011, An application of a new seasonal unit root test to inflation, Int. Rev. Econ. Financ., 20, 707, 10.1016/j.iref.2011.01.001
Narayan, 2013, Size and power properties of structural break unit root tests, Appl. Econ., 45, 721, 10.1080/00036846.2011.610752
Narayan, 2008, Are oil shocks permanent or temporary? Panel data evidence from crude oil and NGL production in 60 countries, Energy Econ., 30, 919, 10.1016/j.eneco.2007.07.005
Ng, 1995, Unit root tests in ARMA models with data-dependent methods for the selection of the truncation lag, J. Am. Stat. Assoc., 90, 268, 10.1080/01621459.1995.10476510
Pesaran, 2004
Pindyck, 2004, Volatility and commodity price dynamics, J. Futur. Mark.: Futures, Options, and Other Derivative Products, 24, 1029, 10.1002/fut.20120
Popp, 2008, New innovational outlier unit root test with a break at an unknown time, J. Stat. Comput. Simul., 78, 1145, 10.1080/00949650701411429
Potts, 2016, Marcellus shale and structural breaks in oil and gas markets: the case of Pennsylvania, Energy Econ., 57, 50, 10.1016/j.eneco.2016.04.017
Qin, X., Bessler, D. A., Leatham, D. J., Wu, X., and Gan, L. (2010). Fundamentals and US natural gas price dynamics. In 2010 Annual Meeting, February 6–9, 2010, Orlando, Florida (No. 56501). Southern Agricultural Economics Association.
Ramberg, 2012, The weak tie between natural gas and oil prices, Energy J., 13
Reese, 2016, Panicca: panic on cross-section averages, J. Appl. Econ., 31, 961, 10.1002/jae.2487
Romagus, 2012
Salisu, 2018, United we stand, divided we fall: a PANICCA test evidence for stock exchanges in OECD, Financ. Res. Lett., 6, 1
Sita, 2012, Short-run price and income elasticity of gasoline demand: evidence from Lebanon, Energy Policy, 46, 109, 10.1016/j.enpol.2012.03.041
Vengosh, 2014, A critical review of the risks to water resources from unconventional shale gas development and hydraulic fracturing in the United States, Environ. Sci. Technol., 48, 8334, 10.1021/es405118y
Wakamatsu, 2013, The impact of the shale gas revolution on the U.S. and Japanese natural gas markets, Energy Policy, 62, 1002, 10.1016/j.enpol.2013.07.122
Wang, 2016, vol. 39
Warner, 2013, Impacts of shale gas wastewater disposal on water quality in western Pennsylvania, Environ. Sci. Technol., 47, 11849, 10.1021/es402165b
Westerlund, 2008, A simple test for cointegration in dependent panels with structural breaks, Oxf. Bull. Econ. Stat., 70, 665, 10.1111/j.1468-0084.2008.00513.x
Wiggins, 2015, US Natural Gas Price Determination: Fundamentals and the Development of Shale (No. 205788)
Wolfe, 2014, Bidirectional causality in oil and gas markets, Energy Econ., 42, 325, 10.1016/j.eneco.2013.12.010
Wooldridge, 2015
Yeh, 2016, North American natural gas and energy markets in transition: insights from global models, Energy Econ., 60, 405, 10.1016/j.eneco.2016.08.021