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Determinant of cash holdings from Indonesian public non-financial firms during Coronavirus-19 pandemic
Published in Siska Noviaristanti, Contemporary Research on Management and Business, 2023
Following the previous study by Fu & Shen (2020), this study employs data panel regression approach that considers the COVID-19 as an exogenous shock and integrate the implementation of work-from-home policy towards the cash holding level, as shown by equation 1: CHi,t=α+β1CASEi,t+β2DEATHi,t+β3DWFHi,t+βXControli,t+ε where i indexes the firm and t indexes the year-quarter. Variable CASE and DEATH are respectively taken value of the cumulative positive and death cases in percentage. Variable DWFH proxied the work-from-home policy implementation, which takes the value of 1 if the implementation is more restricting, 0 if otherwise. The control variables in this study are the firm specific characteristic variables constituted by the firm size, leverage, profitability, and liquidity. This study employs data panel regression using the Eviews 12 to conduct the analyses.
A laboratory assessment of the effect of varying roughness on dissolved oxygen using error correction method
Published in Cogent Engineering, 2018
I.T. Tenebe, C.P. Emenike, A.S. Ogbiye, D.O. Omole, B.U. Ngene, O. Maxwell, O.O. Olatunji
Assembling of data for analysis was carried out on Microsoft Excel 2013. eViews version 8.0 was used to conduct the descriptive statistics and modelling process as well as the various statistical considerations mentioned in this study such as: Jarque-bera test for normality, Augumented Dicky fuller test for stationarity, Cusum test for coefficient stability, Johansen Cointegration Test to ascertain the long run relationships for all the explanatory variables, while HAC (Newey-West) and Durbin Watson statistic were also used to control heteroscedasticity and auto-correlation respectively in the model. All these and their applications will be explained in details in the next sections.