First thanks for proposing such a potent model to measure spatial heterogeneity of income distribution.
Then regarding the mathematics part, here's a small request:
You have referred to the Price Equation Model (p. 11) to evaluate the knowledge of information weights you raised in the paper. But would you please tell us more about the underlying logic/theoretical base of this model? (though it's covered a bit in the supplementary materials it still deserves clarification) why can it be used in the case of spacial selection? why do you choose it for evaluating the knowledge of information weight? you mentioned any other neighborhood characteristics can also be computed in the model but what kind of characteristics exactly?
Re: statistics of neighborhoods
First thanks for proposing such a potent model to measure spatial heterogeneity of income distribution. Then regarding the mathematics part, here's a small request:
You have referred to the Price Equation Model (p. 11) to evaluate the knowledge of information weights you raised in the paper. But would you please tell us more about the underlying logic/theoretical base of this model? (though it's covered a bit in the supplementary materials it still deserves clarification) why can it be used in the case of spacial selection? why do you choose it for evaluating the knowledge of information weight? you mentioned any other neighborhood characteristics can also be computed in the model but what kind of characteristics exactly?