This study accounts for spatial spillover and spatial heterogeneity to estimate housing growth between 1990 and 2000 using Tennessee census-block group data. A deterministic estimation method, inverse distance weighted averaging is used to create neighborhood variables that can capture more...

Because U.S. micropolitan areas have only relatively recently been awarded official status, little is known about their comparative economic performance. Yet, since their inception economic performance among micropolitan areas has received considerable attention from the public and local area...

Intellectual appeal and simplicity of use has led to the widespread application of the spatial hedonic model in assessing regional quality of life. Yet, the traditional spatial hedonic approach contains numerous assumptions, which typically are untested. Violation of the assumptions in practice...

We analyze the impact of economic development policies and highway infrastructure improvements on growth of per capita income and jobs in Michigan counties. The policies considered for analysis have significant impact on growth outcomes. However, this effect is non-linear. Significant...

This study uses modeled Small Area Estimates data to analyze the labor market influences on child poverty rates in local areas. These data support analysis of small geographic areas as well as at different points of the business cycle. Statistical tests appropriate for data with geographic and...

Urban sprawl has been criticized for its disproportionate impact on the environment. Yet urban areas are in fact less land-intensive than recent rural development patterns. Residential first-movers into such virgin areas may spark waves of ensuing development without incorporating the true...

This article illustrates the commonly overlooked sample selection problem inherent in using rural classification methods that change over time due to population changes. Since fast-growing rural areas grow out of their rural status, using recent rural definitions excludes the most successful...

In this paper, we provide evidence based on New Economic Geography Models and estimate the statistical effects of second nature advantages to shed some light on the locational transformation of the manufacturing sector in Mexico. Changes in regional industry shares and regional wages during...

Blending regional studies with growth econometrics, we apply the seemingly unrelated regression (SUR) methodology to income, employment, and population growth over 1990-2000 for all 254 Texas counties organized in 24 geographic regions. Several results are discussed, along with the role of wages...

In this paper, I perform a spatial econometric analysis of the determinants of regional specialization patterns across EU regions. Spatial correlation is evident, but this is due mostly to spatial error autocorrelation. Spatial interaction caused by positive economic interdependencies might be...