Results 221 to 230 of about 34,224 (265)

Research on New Methods of Topic Mining and Topic Prediction for Medical Preprints on Emerging Infectious Diseases. [PDF]

Cureus
Liang Z, Kuang Y, Liang G, Li Z, Jiang M.   +4 more
europepmc   +1 more source

Global decarbonization corresponding with unseasonal land cover change. [PDF]

Nat Commun
He K, Wang L, Liu Z.
europepmc   +1 more source

From complexity to resilience: clean innovation reshapes the load capacity curve dynamics. [PDF]

Carbon Balance Manag
Satrovic E, Razi U, Radulescu M.
europepmc   +1 more source

Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications. [PDF]

Sci Rep
Alkhalifa AK, Aljebreen M, Alanazi R, Ahmad N, Alahmari S, Alrusaini O, Alqazzaz A, Alkhiri H.   +7 more
europepmc   +1 more source

Econometric methodology for selecting explanatory factors for power consumption. [PDF]

MethodsX
Guefano S.
europepmc   +1 more source

Subnational heterogeneity in climate-smart agriculture green finance and irrigation efficiency across seven African nations. [PDF]

Sci Rep
Bensadi A.
europepmc   +1 more source

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Determinants of the Export Function in Morocco: Evidence from ARDL and Dynamic ARDL Models

Global Journal of Emerging Market Economies, 2023
Maintaining an acceptable level of trade deficit is one of the main challenges of the trade policy in developing countries like Morocco. Therefore, studying the most influential factors of the export function is of foremost importance. In this regard, our article studies the impact of a set of supply and demand determinants on export behavior in ...
Fatiha El agri, Mounir Jerry, Ahlam Qafas, Youness Manzah   +3 more
openaire   +1 more source

Adaptive LASSO estimation for ARDL models with GARCH innovations [PDF]

Econometric Reviews, 2015
In this paper we show the validity of the adaptive LASSO procedure in estimating stationary ARDL(p,q) models with GARCH innovations. We show that, given a set of initial weights, the adaptive Lasso selects the relevant variables with probability converging to one. Afterwards, we show that the estimator is oracle, meaning that its distribution converges
Medeiros, Marcelo C., Mendes, Eduardo Fonseca   +1 more
openaire   +3 more sources

Modelling the Australian J-Curve: An ARDL Cointegration Approach

SSRN Electronic Journal, 2017
This study tests for the existence of the J‐curve phenomenon in Australia using quarterly data over the period 1970–2016. The autoregressive distributed lag (ARDL) cointegration and error correction methodologies are used to examine the short‐run and long‐run impacts of the real effective exchange rate on Australia's trade balance.
Kris Ivanovski, Sefa Awaworyi Churchill, Ahmed Salim Nuhu   +2 more
openaire   +1 more source

Testing financial liberalization hypothesis with ARDL modelling approach

Applied Financial Economics, 2007
It is a stylised fact that financial ‘repression’ retards economic growth. Hence, financial liberalization is advocated to remove the stranglehold on the economy. Financial liberalization policy argues that deregulation of interest rate would result in a higher real interest rate which would lead to increased savings, increased investment and achieve ...
Shrestha, Min B, Chowdhury, Muhammad K
openaire   +2 more sources