Respuesta :
It is "false" to claim that you cannot use both the present value of an explanatory variable and its delays in a regression.
Define the term regression?
A statistical method called regression links a dependent variable with one or much more independently (explanatory) variables.
- A regression model can demonstrate whether changes in one or more several explanatory variables are related to changes in the dependent variable.
- Political scientists frequently use lag- ged explanatory variables as a solution to endogeneity issues with observational data.
- Although some research claims that using lag dependent variables (LDVs) in regressions results in negatively biased coefficient estimates, even when the LDV is a part of the data-generating process, LDVs have been used in regression analysis provide the robust estimates of the outcomes of independent variables.
Thus, it is "wrong" to claim that you cannot use both the present value of an explanatory variable and its delays in a regression.
To know more about the regression, here
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