
doi: 10.1068/a170185
pmid: 12339945
A class of spatial economic–demographic forecasting models is proposed. The models combine elements of traditional Markov and economic gravity models. A base-period probability structure is modified by the changing relative distribution of economic opportunity. Estimation issues are addressed, and an empirical application to US interstate migration during the late 1970s is described. It is contended that the framework represents a merger of past demographic and economic modeling traditions in a spatial interaction framework.
Geography, Economics, Developed Countries, Research, Population, Population Dynamics, Statistics as Topic, Emigration and Immigration, Models, Theoretical, Markov Chains, United States, Models, Economic, Socioeconomic Factors, North America, Americas, Developing Countries, Demography, Forecasting
Geography, Economics, Developed Countries, Research, Population, Population Dynamics, Statistics as Topic, Emigration and Immigration, Models, Theoretical, Markov Chains, United States, Models, Economic, Socioeconomic Factors, North America, Americas, Developing Countries, Demography, Forecasting
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