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City officials are continuously working to attract airlines willing to fly to new destinations. The inherent expectation is that a more extensive aviation network stimulates economic growth. This paper investigates empirically the causal implication of this hypothesis. Using data on nonstop flights by origin and destination over the period 1984–2013, we propose a new measure for a metropolitan area's connectivity to the national aviation network. We then use this measure to investigate its contribution to local economic development, as captured by the growth in population, in total employment, in per‐capita income, and new firm entry. To ensure causality, we use instrumental variable methods that exploit geography and destination airports growth as a way to capture the exogenous variation in the likelihood to add new travel routes. Our results suggest that a metropolitan area's air connectivity, resulting from an expansive local aviation network, has a positive effect on population, on employment and on the number of businesses established in that location. [ABSTRACT FROM AUTHOR]

In this paper, we analyze the optimal structure of a monocentric city that has multiple jurisdictions. The cost of providing a public good depends on both the area of the jurisdiction and the quality of the service, both of which are endogenous variables. We show that the optimal quality of the public good decreases as distance from the central business district (CBD) increases if the public good and the housing lot are substitutes, and may increase if they are complements. The optimal population density always decreases as distance from the CBD increases. [ABSTRACT FROM AUTHOR]

Few studies empirically estimate the effects of metropolitan growth on nonmetropolitan communities at a national scale. This paper estimates the growth effects of 276 MSAs on population in 1,988 nonmetropolitan communities in the United States from 2000 to 2007. We estimate the distance for growth spillovers from MSAs to nonmetropolitan communities and test the assumption that a single MSA influences growth. We compare three methods of weighting cities' influence: nearest city only, inverse-distance, and relative commuting flow to multiple cities. We find the inverse-distance approach provides slightly more reliable and theoretically supportable results than the traditional nearest city approach. [ABSTRACT FROM AUTHOR]

We consider the problem of integrating spatial amenities into locational equilibrium models with multiple jurisdictions. We provide sufficient conditions under which models that assume a single housing price in each community continue to apply in the presence of location-specific amenities that vary both within and across communities. If these conditions are satisfied, the models, estimation methods, and results in Epple and Sieg (1999) are valid in the presence of (potentially unobserved) location-specific amenities. We also show how to construct sufficient statistics that capture location specific spatial heterogeneity. We apply these techniques using data from the Pittsburgh metropolitan area. We find that these amenity measures capture proximity to important local employment centers as well as heterogeneity in school quality within a given school district. [ABSTRACT FROM AUTHOR]

This paper presents a descriptive analysis of spatial trends in six U.S. metropolitan areas. The results show that generalized job dispersion was a more common spatial process than subcentering during the 1980s and 1990s when jobs continued to decentralize from the metropolitan core to the suburbs. Three distinctive patterns of spatial development were found. Job dispersion was predominant in Portland and Philadelphia, whereas the polycentricity of Los Angeles and San Francisco was further reinforced. New York and Boston with large and long-established CBDs were less prone to decentralization. Each metro seems to have developed a unique pattern of decentralization in light of their histories and circumstances, which has limited the growth of commuting times. [ABSTRACT FROM AUTHOR]

The paper analyzes the role of central cities as engines of economic growth in their metropolitan area. We wonder if there are increasing returns to central city growth at the metropolitan level arising from the positive externalities associated with the unique features of central cities. To answer this question we analyze the causality between the economic growth of Spanish central cities and the growth of the other jurisdictions belonging to their metropolitan area (i.e., the suburbs). The analysis uses population and economic activity data for a sample of 28 Spanish metropolitan areas during 35 years. We use a Vector Error Correction Model (VECM) framework to estimate long-run equilibrium relationships between the growth of central cities and their suburbs. The combination of panel data and a VECM is an innovative approach that is still being developed in econometrics. The results suggest that central city growth has a long-run positive effect on the growth of the suburbs. We also inquire as to whether or not this positive effect depends on the size of the central city. The results suggest that the effect is much higher in the case of the largest cities, but that it is also important in the case of the smaller ones. [ABSTRACT FROM AUTHOR]

ABSTRACT We examine the contribution to economic growth of entrepreneurial marketplace information within a regional endogenous growth framework. Entrepreneurs are posited to provide an input to economic growth through the information revealed by their successes and failures. We empirically identify this information source with the regional variation in establishment births and deaths. To account for the potential endogeneity caused by forward-looking entrepreneurs, we utilize instruments based on historic mining activity. We find that the information spillover component of local establishment birth and death rates have significant positive effects on subsequent entrepreneurship and employment growth for U.S. counties and metropolitan areas. [ABSTRACT FROM AUTHOR]