Development of an Autoregressive Distributed Lag Model of COVID-19 Infected Cases and Deaths

The plurality of research secondhand various reversion and occasion-order models to analyse COVID-19 cases cause these models are established to analyse the progress or incident of ailments. The main aims of the current study search out check the short- and unending cointegration relationships betwixt the accruing number of new COVID-19 contaminations (X) and the accruing number of COVID-19-accompanying dying (Y), to try the long-run evenness connection betwixt these variables utilizing an autoregressive delivered delay model and bounds cointegration tests, and to test the security of the supposed model. In order to judge the thickness of the model limits, two tests-the accruing total of looping leftover part test and the accruing total of recurrent leftover part squares test-are utilised.

Author(s) Details:

Rajarathinam Arunachalam,
Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli–627 012, Tamil Nadu State, India.

Tamilselvan Pakkirisamy,
Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli–627 012, Tamil Nadu State, India.

Please see the link here: https://stm.bookpi.org/RHMCS-V3/article/view/8875

Keywords: Autoregressive distributed lag model, error correction model, unit root tests residual diagnostics, bounds cointegration test, stability tests