You can check this assumption in Stata through an inspection of correlation coefficients and Tolerance/VIF values. Assumption #7: There should be no significant outliers, high leverage points or highly influential points, which represent observations in your data set that are in some way unusual. ...
Sales employees can build their careers across industries, firms, and occupations. Yet it is unclear how their sales career paths affect their compensation
Socially sustainable practices of MNBs positively impact access to 1) a bank account, 2) credit, and 3) savings among the lowest-income groups in developing countries. • When MNBs combine socially sustainable practices with their business model, they build trust and reduce risks in the develo...
In the Chinese context,hukouselection is analyzed from both urban and rural perspectives. Migrants often find themselves excluded from local government services, particularly in education and healthcare, due to their lack ofurban-hukoustatus in the host city (Woodman,2016). Prior to reforms in the...
The results indicate that the variance inflation factor (VIF) values for each variable are below 2, sug- gesting that there is no significant multicollinearity issue present. A reference group is established, comprising dual-hukou families who plan to transition to double-urban status and those ...
To represent these behavioural factors, per capita CO2 emissions (LCO2PC), and the renewable share of gross final energy consumption (LRES_SH) were used as proxies in this study. The preliminary tests undertaken on the variables were the Variance Inflation Factor (VIF), correlation matrix, ...
Also, the Variable Inflation Factor (VIF) numbers are presented to determine if there is a problem with multicollinearity. The calculation is done using a linear model to ensure the intercepts are excluded by the function. In other words, the linear model must be used for the VIF calculation ...
endogeneity-corrected estimations for the full model from Eq.4. We use Model 2 to examine the main-effect hypothesis and Model 4 to test the moderation hypotheses. For each model, we also report (Table4) the highest variance inflation factor (VIF) to verify that multicollinearity is not an ...
VIF 1.30 *** p < 0.01, ** p < 0.05, * p < 0.1. The PMLE model tends to produce larger coefficients compared to its counterparts, but the significance levels and directions are mostly similar to the other two models. The smaller standard deviation and narrower confidence intervals in the...
In anticipation of the upcoming changes and turbulence caused by Industry 4.0, in which digital integration connects all value chain members, managers at l