UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Model evaluation and causality testing in short panels: the case of infrastructure provision and population growth in the Brazilian Amazon

Weinhold, D.; Reis, E.; (2001) Model evaluation and causality testing in short panels: the case of infrastructure provision and population growth in the Brazilian Amazon. Journal of Regional Science , 41 (4) pp. 639-657. 10.1111/0022-4146.00236.

Full text not available from this repository.

Abstract

In 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.

Type: Article
Title: Model evaluation and causality testing in short panels: the case of infrastructure provision and population growth in the Brazilian Amazon
DOI: 10.1111/0022-4146.00236
Publisher version: http://dx.doi.org/10.1111/0022-4146.00236
Language: English
UCL classification: UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of SandHS > Dept of Economics
URI: http://discovery.ucl.ac.uk/id/eprint/18144
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item