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Distributed Lag Linear and Non-Linear Models in R: The Package dlnm [PDF]
Journal of Statistical Software, 2011 Distributed lag non-linear models (DLNMs) represent a modeling framework to flexibly describe associations showing potentially non-linear and delayed effects in time series data.
Antonio Gasparrini
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Natural resources forum (Print), 2023 This study explores the impact of natural resource exploitation, trade openness, and economic growth on carbon emissions in a sample of oil‐exporting nations for the period 1971–2014.
Tarek Ghazouani, Samir Maktouf
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Environment International, 2023 AIMS Previous studies have related heat waves to morbidity and mortality of cardiovascular diseases; however, potential mechanisms remained limited. Our aims were to investigate the short-term effects of heat waves on a series of clinical/subclinical ...
Beijing Cheng +11 more
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Research on shear lag effect of cantilever concrete box beam with double chambers [PDF]
E3S Web of Conferences, 2022 In this paper, the authors used finite element method to investigate the longitudinal and transverse shear lag effects and the effect of aspect ratio on the shear lag of double-chamber cantilever concrete box girder under uniform distributed load.
Pan Jinglan, Chen Kongliang
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Environmental Research, 2022 The emergence of a new coronavirus (COVID-19) has become a major global concern that has damaged human health and disturbing environmental quality. Some researchers have identified a positive relationship between air pollution (fine particulate matter ...
Chen Wen +6 more
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, 2021 This study contributes to estimate the municipal solid waste (MSW) recycling effect on environmental quality and economic growth in the United States.
Asif Razzaq +4 more
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Recent developments of the autoregressive distributed lag modelling framework
Journal of economic surveys (Print), 2021 We review the literature on the Autoregressive Distributed Lag (ARDL) model, from its origins in the analysis of autocorrelated trend stationary processes to its subsequent applications in the analysis of cointegrated non-stationary time series.
J. Cho +2 more
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Inflation forecasting using autoregressive distributed lag (ARDL) models
Jurnal Ekonomi & Studi Pembangunan, 2023 This study attempts to evaluate and compare the inflation-predicting performance of several ARDL models. Since there was no cointegration, the ARDL model does not employ an error correction term.
Regi Muzio Ponziani
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Almon-KL estimator for the distributed lag model
Arab Journal of Basic and Applied Sciences, 2021 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 variables and their lagged values are often correlated.
Adewale F. Lukman, Golam B. M. Kibria
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Frontiers in Public Health, 2022 Short-term exposure to air pollution has been associated with ischemic stroke (IS) hospitalizations, but the evidence of its effects on IS in low- and middle-income countries is limited and inconsistent.
Hao Chen +8 more
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