Model Evaluation and Causality Testing in Short Panels: The Case of Infrastructure Provision and Population Growth in the Brazilian Amazon
AbstractIn this paper we examine the relationship between infrastructure growth and population growth in the Amazon using a panel of 293 municipalities over the period from 1975 to 1985. Contemporaneous cross-section analysis confirms a strong positive correlation between infrastructure and urban population but does not indicate direction of causality. Thus, we employ a modified form of the traditional Granger causality tests to suit the short time series that we have available. Based on out-of-sample forecasting tests we conclude that the empirical evidence supports the hypothesis that growing urban populations lead to more infrastructure development, rather than vice versa. Copyright 2001 Blackwell Publishers
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Bibliographic InfoArticle provided by Wiley Blackwell in its journal Journal of Regional Science.
Volume (Year): 41 (2001)
Issue (Month): 4 ()
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