So, when we write partial a over partial theta with a constant, it means that, actually, b will be the dependent variable.
Let Y be the dependent variable, such as the willingness-to-pay (WTP) for CBHI, X1, X 2....Xn the independent variables, and a random component.
Let y be the dependent variable, x 1,…,x k−1 the explanatory variables, x k the endogenous regressor, z 1,…,z M the set of instruments.
Mathematically, these effects can be measured through linear regression, in which the quality of FDI attraction in Vietnam is considered to be the dependent variable and the mentioned three factors are the independent variables.
Specifically, small diverse subsets tend to exhibit higher diversity, whereas the value of diversity decreases with increasing the size of S. Hence, to ascertain the causal effect of diverse subset size k upon the value of the diversity function f(S, d), we assume the value of the diversity function to be the dependent variable, where the diverse subset size is the independent variable.
The equation formulated assumed that V be the dependent variable representing the predicted value of the vibration level and that V is a function of three independent variables (V i, Z, t) and three parameters (a, b, c), for i = 1, 2…n, and i is the number of measuring opportunities.
