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Highway infrastructure and state‐level employment: A causal spatial analysis

Piyapong Jiwattanakulpaisarn, Robert Noland (), Daniel Graham () and John W. Polak

Papers in Regional Science, 2009, vol. 88, issue 1, 133-159

Abstract: Abstract This paper analyses the causal relationship between highway infrastructure and employment within the U.S. We estimate dynamic panel models in a vector autoregressive framework using time‐series cross‐sectional data on lane miles of roadway capacity and private sector employment for the 48 contiguous states over the period 1984–1997. The issue of spatial dependence is explicitly taken into account by means of a spatial filtering technique. Our analysis reveals evidence of employment growth temporally influenced by annual growth in the provision of major highways within the same state and all other states, as well as the other way around. However, the results show that the existence and direction of these temporal and spatial effects depend on the type of highways and time lags considered. Resumen país comercial este artículo analiza la relación causal entre la infraestructura de autopistas y el empleo en los EE.UU. Estimamos modelos dinámico de datos de panel dentro de un marco autorregresivo vectorial utilizando datos transversales de series temporales en de capacidad de carretera en millas de carril y de empleo del sector privado para los 48 estados contiguos durante el periodo 1984–1997. Nuestro análisis revela pruebas de crecimiento del empleo influido temporalmente por el crecimiento anual en la provisión de autopistas principales dentro del mismo estado y el resto de estados, y a la inversa. Sin embargo, los resultados muestran que la existencia y dirección de estos efectos temporales y espaciales dependen del tipo de autopistas y los lapsos de tiempo considerados.

Date: 2009
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https://doi.org/10.1111/j.1435-5957.2008.00205.x

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