Car ownership and use in Britain: a comparison of the empirical results of alternative cointegration estimation methods and forecasts
By P. Romilly, Haiyan Song, Xiaming Liu. 2001
152 citations recorded by the source corpus.
Subfields: Renewable Energy, Sustainability and the Environment, Transportation
View Paper: https://www.semanticscholar.org/paper/0c0c1f543e00b1cb96b626ac73bee8de685276ff
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Renewable Energy, Sustainability and the Environment
- Emmanouil Trachanas
- P. Fousekis
- Muhammad Qayyum
- C. Katrakilidis
- A. Jahanger
- Zeeshan Khan
- Minhaj Ali
- Yuyuan Yu
In Transportation
- Jieping Li
- Joan L. Walker
- Stephane Hess
- Bert van Wee
- Chandra R. Bhat
- Denis Bolduc
- Ricardo A. Daziano
Citations in the corpus
- Vertical price transmission in the US beef sector: Evidence from the nonlinear ARDL model (2016, background): “…(0)I and (1)I (but not (2)I ) time series in a long-run relationship; this not only provides considerable flexibility but it also avoids potential “pre-test bias”, that means, specification of a longrun model on the basis of I(1) variables only (e.g. Pesaran et al., 2001; Romilly et al., 2001).”
- Environmental regulations an option: Asymmetry effect of environmental regulations on carbon emissions using non-linear ARDL (2018, background): “…the asymmetric effect of environmental regulations on carbon emissions, as conventional Cointegration methods do not incorporate the asymmetric effect (Katrakilidis and Trachanas 2012) and also provide better results for co-integration even having small samples (Romilly, Song, and Liu 2001).”
- What drives housing price dynamics in Greece: New evidence from asymmetric ARDL cointegration (2012, background): “, 2001) which performs better for determining cointegrating relationships in small samples (Romilly et al., 2001).”
- Nexus between Financial Development, Renewable Energy Consumption, Technological Innovations and CO2 Emissions: The Case of India (2021, methodology): “Finally, it is also reported that utilizing the ARDL method prevents complications caused by non-time series data [64,65].”
- Modeling Private Car Ownership in China (2010, background): “found that income, motoring costs, bus fares, and road traffic congestion had significant effects on car ownership (7).”