Modelling the economic role of hydropower: Evidence from bootstrap autoregressive distributed lag approach
Sign Up to like & getrecommendations! Published in 2021 at "Renewable Energy"
DOI: 10.1016/j.renene.2020.12.031
Abstract: Abstract Despite being one of the most researched areas within the general field of energy economics, the energy-growth nexus remains largely inconclusive with four testable hypotheses that include the feedback, neutrality, conservation, and growth hypothesis.… read more here.
Keywords: capital; energy; bootstrap autoregressive; distributed lag ... See more keywords
A novel spatial heteroscedastic generalized additive distributed lag model for the spatiotemporal relation between PM2.5and cardiovascular hospitalization
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-81036-3
Abstract: Many studies have examined the impact of air pollution on cardiovascular hospitalization (CVH), but few have looked at the delayed effects of air pollution on CVH. Additionally, there has been no research on the spatial… read more here.
Keywords: additive distributed; pm2; generalized additive; model ... See more keywords
Almon-KL estimator for the distributed lag model
Sign Up to like & getrecommendations! Published in 2021 at "Arab Journal of Basic and Applied Sciences"
DOI: 10.1080/25765299.2021.1989160
Abstract: The Almon technique is widely used to estimate the parameters of the distributed lag model (DLM). The technique suffers a setback from the challenge of multicollinearity because the explanatory var... read more here.
Keywords: lag model; almon estimator; estimator distributed; distributed lag ... See more keywords
Distributed lag models for retrospective cohort data with application to a study of built environment and body weight.
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DOI: 10.1093/biomtc/ujae166
Abstract: Distributed lag models (DLMs) estimate the health effects of exposure over multiple time lags prior to the outcome and are widely used in time series studies. Applying DLMs to retrospective cohort studies is challenging due… read more here.
Keywords: cohort; lag models; history; retrospective cohort ... See more keywords
Smooth and shape-constrained quantile distributed lag models.
Sign Up to like & getrecommendations! Published in 2024 at "Biometrics"
DOI: 10.1093/biomtc/ujaf101
Abstract: Exposure to environmental pollutants during the gestational period can significantly impact infant health outcomes, such as birth weight and neurological development. Identifying critical windows of susceptibility, which are specific periods during pregnancy when exposure has… read more here.
Keywords: lag models; shape; quantile distributed; health outcomes ... See more keywords
Semiparametric distributed lag quantile regression for modeling time-dependent exposure mixtures.
Sign Up to like & getrecommendations! Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13702
Abstract: Studying time-dependent exposure mixtures has gained increasing attentions in environmental health research. When a scalar outcome is of interest, distributed lag (DL) models have been employed to characterize the exposures effects distributed over time on… read more here.
Keywords: dependent exposure; exposure mixtures; time; time dependent ... See more keywords
A Nonlinear Autoregressive Distributed Lag (NARDL) Analysis of West Texas Intermediate Oil Prices and the DOW JONES Index
Sign Up to like & getrecommendations! Published in 2020 at "Energies"
DOI: 10.3390/en13154011
Abstract: The paper features an examination of the link between the behaviour of oil prices and DowJones Index in a nonlinear autoregressive distributed lag nonlinear autoregressive distributed lag (NARDL) framework. The attraction of NARDL is that… read more here.
Keywords: oil; distributed lag; autoregressive distributed; oil prices ... See more keywords
Can Technological Advancement Empower the Future of Renewable Energy? A Panel Autoregressive Distributed Lag Approach
Sign Up to like & getrecommendations! Published in 2024 at "Energies"
DOI: 10.3390/en17205126
Abstract: Energy is pivotal in achieving sustainable development’s economic, social, and environmental objectives. However, to attain this crucial goal, it is essential to focus on the type of energy we generate and the methods by which… read more here.
Keywords: energy; technological advancement; renewable energy; autoregressive distributed ... See more keywords
Evaluating the Dynamic Effects of Environmental Taxation and Energy Transition on Greenhouse Gas Emissions in South Africa: An Autoregressive Distributed Lag (ARDL) Approach
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DOI: 10.3390/su17125531
Abstract: South Africa remains one of Africa’s highest greenhouse gas emitters due to its reliance on coal and a carbon-intensive economy. This study employs an Autoregressive Distributed Lag (ARDL) model to examine the impact of environmental… read more here.
Keywords: greenhouse gas; south africa; transition; lag ardl ... See more keywords
A nonlinear autoregressive distributed lag approach to remittances and access to financial inclusion in Jordan
Sign Up to like & getrecommendations! Published in 2024 at "South African Journal of Economic and management Sciences"
DOI: 10.4102/sajems.v27i1.5133
Abstract: the existence of a nonlinear relationship between the model’s variables. Third, it suggests that policymakers in Jordan government should put effort into stimulating the inflow of remittances to promote FI and, hence, economic growth and… read more here.
Keywords: approach remittances; remittances access; lag approach; autoregressive distributed ... See more keywords