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The authors provide a way to represent spatial and temporal equilibria in terms of error correction models in a panel setting. This requires potentially two different processes for spatial or network dynamics, both of which can be expressed in terms of spatial weights matrices. The first captures strong cross-sectional dependence, so that a spatial difference, suitably defined, is weakly cross-section dependent (granular) but can be non-stationary. The second is a conventional weights matrix that captures short-run spatio-temporal dynamics as stationary and granular processes. In large samples, cross-section averages serve the first purpose and the authors propose the mean group, common correlated effects estimator together with multiple testing of cross-correlations to provide the short-run spatial weights. The authors apply this model to the 324 local authorities of England, and show that our approach is useful for modeling weak and strong cross-section dependence, together with partial adjustments to two long-run equilibrium relationships and short-run spatio-temporal dynamics. This exercise provides new insights on the (spatial) long-run relationship between house prices and income in the UK.

This study aims to examine dynamic interactions among economic growth, geography and the housing market with public goods financed by the government. A general dynamic equilibrium model of an isolated economy with economic geography, local public goods and capital accumulation is to be constructed. The economy has three sectors, supplying industrial goods, housing, and local public goods. The model synthesizes the main ideas in neoclassical growth theory, the Alonso urban model, and the Muth housing model in an alternative framework to the traditional growth theory.

The model is based on the neoclassical growth theory with an alternative approach to household behavior. The paper shows how to solve the dynamics of the economic system and simulate the model to demonstrate dynamic interactions among economic growth, housing market, residential distribution and public goods over time and space.

The paper simulates equilibrium and motion of the spatial economy with Cobb‐Douglas production and utility functions. The simulation demonstrates, for example, that, as the tax rate on the land income is increased, the total capital stocks and the stocks employed by the three sectors are increased, the rate of interest falls and the output of the industrial sector and the wage rate are increased, the land devoted to local public goods falls and the land rent and housing rent rise over space, the consumption level of the industrial goods and the total expenditures on the public goods are increased.

The paper provides some possible implications of the model for complicated consequences of government policy over time and space. In particular, the paper shows that a change in government policy not only has a macroeconomic impact over time, but also affects the economic geography of the national economy.

The paper offers insights into the linkage among growth, national public policies and economic geography.