Regional science has a variety of characteristics that distinguish it from its sister social sciences: it works the boundaries of economics, geography, planning studies, and sociology; space is its focus; spatial dependence is a core concern; comparative advantage remains a key concept for...

Presumably, advancement of knowledge is a primary goal of virtually all “academic” scholars, whether from universities, government agencies, or elsewhere. Likewise, a primary function of academic organizations, such as the Southern Regional Science Association and Regional Science...

Researchers in regional science generally describe their work as policy oriented. This paper examines articles in the Review for 1990-2002 to determine the extent to which they address policy, at three levels. A context for examining policy orientation is developed, and articles are judged...

The debt overhang hypothesis suggests that high debt levels retard prospects for GDP growth. We investigate the impact that debt overhang has had on recent GDP growth in the Eurozone, paying particular attention to the spillover effects that debt has on neighboring countries. We argue that in...

This paper explores whether the adoption and use of mobile phones in Africa following the United Nations Millennium Development Goal number 8 is seminal relative to other Information and Communication Technologies (ICTs). The dataset consists of the number of Internet users, computer users, and...

In spatial discrete choice models the spatial dependent structure adds complexity in the estimation of parameters. Appropriate general method of moments (GMM) estimation needs inverses of n-by-n matrices and an optimization complexity of the moment conditions for moderate to large samples makes...

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...

Using U.S. county data from 1990 and 2000, a family of spatial models examining growth in population and employment are reported. Special attention is paid to the role of microenterprises--firms with less than five employees--in predicting economic growth. Results suggest that microenterprises...

This paper applies recent developments in forecasting spatial process models to estimate the impact of input shocks on China's 1999 gross value added output (GVAO) in agriculture. A Cobb-Douglas production function allowing total factor productivity to vary across regions is used to forecast the...