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This paper tests for spatial spillover effects of state-level telecommunications infrastructure investment on state output, using panel data for 48 U.S. states from 1970 through 1997. As information and communication technologies support more industrial locational freedom, states may use telecommunications infrastructure investment as a competitive tool for attracting factors of production. In a production-function framework, this effect would manifest itself as a negative output spillover effect from telecommunications infrastructure investment. Findings indicate that a state benefits from its own telecommunications infrastructure, but telecommunications investment by other states has a negative impact on its output growth path, and proximity amplifies this negative spillover effect. [ABSTRACT FROM AUTHOR]

Most transportation agencies stipulate that an important planning goal is to provide equitable and just public transport services. However, who is to be served and the type of service that should be provided has been ambiguous. This paper develops a methodology for examining equity in the provision of public transportation services. An approach for identifying areas in need of public transport is developed based upon the use of socio-demographic and economic information. Public transport need is then related to levels of access to service. This approach makes it possible to establish the degree to which public transport services may be considered equitable in relation to need and suitable access. A detailed analysis of the southeast Queensland region of Australia illustrates how this approach may be used to inform public transport decision making. [ABSTRACT FROM AUTHOR]

Previous analyses of the Massachusetts Miracle and the subsequent evolution of employment in the area have centered in part on sectoral explanations. In this paper these explanations are evaluated with the use of a sectoral-based VAR model of the Boston economy, developed to identify local and national sectoral shocks. The relative importance of these shocks is estimated both for the overall sample and at several turning points in aggregate Boston employment, the latter using historical decompostions. [ABSTRACT FROM AUTHOR]

This paper outlines some arguments shout the role of transportation costs in determining the welfare consequences of trade restrictions. The analysis uses a computable general equilibrium (CGE) model and presents the relevant features for trade analysis. The model has two alternative spatial formulations. In the first, all production and trade occur at one point, while in the second the regions are separated by distance. The calculated effects of a unilateral tariff increase are compared using the CGE model with the "point" and "distance" formulation. While the presence of transportation costs is crucial to some sectoral trade and production results, most welfare results are relatively insensitive to the spatial structure of the model. [ABSTRACT FROM AUTHOR]

In this paper I make use of a city systems model to examine how telecommunications may affect cities in urban systems. The model offers an explanation for the observation that the share of employment in the communication-intensive producer-service sector increases with city size in the U.S. I suggest that external scale economies associated with metropolitan employment size, telecommunication network size and total number of intrametropolitan telecommunication contacts are possible explanations for this observation. I go on to suggest that the presence of telecommunication size and contact level external scale economies at the metropolitan level affects the optimal price that should be charged for local telecommunication services. [ABSTRACT FROM AUTHOR]

In this paper, we first develop a measure of total factor productivity (TFP) growth and summarize a source-of-growth analysis for the manufacturing sector of 48 states. As have others, we fred little association between TFP growth differentials and output growth differentials for census regions. At the state rather than the regional level, however, we find a positive association between TFP growth and output growth. We use cross-sectional data to estimate the determinants of the variation in TFP growth. Two results emerge that are important for regional policy and for understanding national productivity trends. First, state investments in education and in transportation infrastructure may affect TFP growth. Second, energy price increases in the early 1970s had no differential effects on productivity growth across states. We also explore the determinants of manufacturing output growth and find that TFP growth, demand growth, wage growth, wage levels, and state corporate income tax rates are significant. [ABSTRACT FROM AUTHOR]

There is an increasing awareness of the potentials of nonlinear modeling in regional science. This can be explained partly by the recognition of the limitations of conventional equilibrium models in complex situations, and also by the easy availability and accessibility of sophisticated computational techniques. Among the class of nonlinear models, dynamic variants based on, for example, chaos theory stand out as an interesting approach. However, the operational significance of such approaches is still rather limited and a rigorous statistical-econometric treatment of nonlinear dynamic modeling experiments is lacking. Against this background this paper is concerned with a methodological and empirical analysis of a general misspecification test for spatial regression models that is expected to have power against nonlinearity, spatial dependence, and heteroskedasticity. The paper seeks to break new research ground by linking the classical diagnostic tools developed in spatial econometrics to a misspecification test derived directly from chaos theory-the BDS test, developed by Brock, Dechert, and Scheinkman (1987). A spatial variant of the BDS test is introduced and applied in the context of two examples of spatial process models, one of which is concerned with the spatial distribution of regional investments in The Netherlands, the other with spatial crime patterns in Columbus, Ohio. [ABSTRACT FROM AUTHOR]

This paper examines the spatial correlation structure of county-level growth across the contiguous United States. Estimated spatial correlograms using data on four different measures of aggregate economic activity—population, employment, income, and earnings—over the period 1984–1994 indicate that cross-county interdependence is limited to relatively short ranges of distance. For each of the measures, the average correlation between the growth rates of two counties approaches zero within a range of approximately 200 miles. Moreover, the rate at which correlations decline with distance is not uniform. Inside of roughly 40 miles correlations show only a very slow rate of decline whereas beyond this range they drop off at a substantially higher rate. [ABSTRACT FROM AUTHOR]

This paper uses a conditional logit approach to study interstate migration in the United States for each of eleven years, from 1986-1987 to 1996-1997. We test substantive hypotheses regarding migration in the United States and demonstrate the richness of the conditional logit approach in studies of place-to-place migration. We investigate migration responses to relative economic opportunities (unemployment rate, per capita income) and the associated costs of moving (distance between origin and destination and its square). We also investigate how noneconomic factors, such as amenities, affect migration between states through a state fixed effect. Finally, we study the magnitude of unmeasured costs associated with a particular migration. The conditional logit model also allows us to compute various trade-off and other values that are of interest in migration analysis. [ABSTRACT FROM AUTHOR]

This paper estimates a translog stochastic frontier production function in the analysis of all 48 contiguous U.S. states in the period 1970-1983, to attempt to measure and explain changes in technical efficiency. The model allows technical inefficiency to vary over time, and inefficiency effects to be a function of a set of explanatory variables in which the level and composition of public capital plays an important role. Results indicate that U.S. state inefficiency levels are significantly and positively correlated with the ratio of public capital to private capital. The proportion of public capital devoted to highways is negatively correlated with technical inefficiency, suggesting that not only the level but also the composition of public capital influences state efficiency. [ABSTRACT FROM AUTHOR]

In this paper we summarize an integrated, operational model of losses due to earthquake impacts on transportation and industrial capacity, and how these losses affect the metropolitan economy. The procedure advances the information provided by transportation and activity system analysis techniques in ways that help capture the most important ecomonic implications of earthquakes. Network costs and origin-destination requirements are modeled endogenously and consistently. Indirect and induced losses associated with direct impacts on transportation and industrial capacity are distributed across zones and ecomonic sectors. Preliminary results are summarized for a magnitude 7.1 earthquake on the Elysian Park blind thrust fault in Los Angeles. [ABSTRACT FROM AUTHOR]

In this paper we present a new approach to measuring government efficiency, based on the theory that communities that allocate resources efficiently in the local public sector maximize property values. We use Data Envelopment Analysis (DEA) to identify the counties in Minnesota that are characterized by property-value maximization and hence an efficient public sector. The results indicate that the dominant source of public sector inefficiency is an inappropriate scale of operations. It appears that some county jurisdictions are too large to service the population efficiently. The size and concentration of government power are also responsible in part for observed inefficiencies. [ABSTRACT FROM AUTHOR]

Recent housing-market studies have modeled slow stock and price adjustment with some success. However, the empirical procedures used in these models break down if housing stocks or prices are driven by stochastic growth. In this paper I suggest an error-correction model for analyzing housing supply and demand under conditions of stochastic growth for a regional housing market. The model is applied to the housing market in Boulder, Colorado from 1981 through 1995—a period of rapid growth in housing values in the area. Long-run housing supply and demand are shown to be inelastic with respect to changes in the price of housing. The results indicate that developers respond more accurately to housing-market disequilibrium attributable to supply-side disturbances than to disturbances generated by changes in the demand for housing. On the other hand, price appreciation is driven primarily by demand disturbances. [ABSTRACT FROM AUTHOR]

Several prior studies found no detrimental external effects of nuclear power plants when estimating the distance gradient for housing prices within a hedonic model. Other papers found significant negative effects of nuclear power when studying real asset prices in cross sections of broad market areas.We suggest a resolution and verify that an installation effect occurs after controlling for the tendency of facility builders to seek out cheap land. The study assembles a panel of all commercial market areas, including indicators for nuclear facilities, in the contiguous United States observed 11 times over roughly equal intervals covering the span from 1945 to 1992. [ABSTRACT FROM AUTHOR]