This paper propose a novel methodology to estimate the distribution dynamics of income in presence of spatial dependence by representing spatial dynamics as a random vector field in Moran space. Inference on the local spatial dynamics is discussed, including a test on the presence of local spatial dependence. The methodology also allows to compute a forecast of future income distribution which includes also the effects of spatial dependence. An application to US States is used to illustrate the effective capacities of the methodology
discussions on this project. Any remaining errors are my own. Many theories in political science pre...
Moran\u27s index is a statistic that measures spatial dependence, quantifying the degree of dispersi...
In any economic analysis, regions or municipalities should not be regarded as isolated spatial units...
This paper propose a novel methodology to estimate the distribution dynamics of income in presence ...
It is quite common in cross-sectional convergence analyses that data exhibit spatial dependence. Wit...
It is quite common in cross-sectional convergence analyses that data exhibit strong spatial dependen...
Conditional distributions for the analysis of convergence are usually estimated using a standard ker...
Conditional distributions for the analysis of convergence are usually estimated using a standard ker...
The Moran\u27s index is a statistic that measures spatial autocorrelation; it quantifies the degree ...
Dans cette thèse, nous avons développé un algorithme de détermination d’une nouvelle forme de la mat...
discussions on this project. Any remaining errors are my own. Many theories in political science pre...
Moran\u27s index is a statistic that measures spatial dependence, quantifying the degree of dispersi...
In any economic analysis, regions or municipalities should not be regarded as isolated spatial units...
This paper propose a novel methodology to estimate the distribution dynamics of income in presence ...
It is quite common in cross-sectional convergence analyses that data exhibit spatial dependence. Wit...
It is quite common in cross-sectional convergence analyses that data exhibit strong spatial dependen...
Conditional distributions for the analysis of convergence are usually estimated using a standard ker...
Conditional distributions for the analysis of convergence are usually estimated using a standard ker...
The Moran\u27s index is a statistic that measures spatial autocorrelation; it quantifies the degree ...
Dans cette thèse, nous avons développé un algorithme de détermination d’une nouvelle forme de la mat...
discussions on this project. Any remaining errors are my own. Many theories in political science pre...
Moran\u27s index is a statistic that measures spatial dependence, quantifying the degree of dispersi...
In any economic analysis, regions or municipalities should not be regarded as isolated spatial units...