The lagged variable explains 65% of the variation in current GDP across the 37 countries.
These dynamic relationships are characterized by the presence of a lag-dependent variable among the regressors; because of the lagged variable, OLS is biased and inconsistent even if v it are not serially correlated.
Visiting one type of screening examination enhanced for the third order lagged variable of one type of screening examination the uptake of the other screening examination.
Furthermore, the improvement of the performance of the machine learning models requires extensive comparisons between different procedures of hyperparameter optimization and lagged variable selection.
Hence, a limitation of fixed effects model that may arise due to the inclusion of lagged variable (lagged income) was checked using dynamic panel model as shown in Eq. (6).
Alternatively, a spatially lagged variable can be introduced, so that the outcome variable at one location is affected by outcomes at neighboring regions.
Data shown are the logistic regression coefficient of a lagged variable after adjusting for effects of seasonality, population density, and province.
Data shown are the Poisson regression coefficients (using the negative binomial model) of a lagged variable after adjusting for effects of seasonality, population density, and province.
With this lagged variable it is possible to examine the influence of working in a university hospital in the previous year on the chance of promotion.
That is, as a method of Granger graphical modeling, the relevant variable selection question is not whether an individual lagged variable is to be included in regression, but whether the lagged variables for a given time series as a group (i.e. the feature), are to be included.
In addition, in a short panel with lagged variables individual fixed effects estimates will be inconsistent.
