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This study examines the export-led growth hypothesis using annual time series data from Chile. It addresses the problem of specification bias under which previous studies have suffered and focuses on the impact of manufactured and primary exports on the economic growth. In order to investigate if and how manufactured and primary exports affect economic growth via increases in productivity, the study uses the Toda and Yamamoto (1995 Toda, HY and Yamamoto, T. 1995. Statistical inference in vector autoregressions wich possibly integrated processes. Journal of Econometrics, 66: 225–50. [Crossref], [Web of Science ®] , [Google Scholar]) procedure for testing for Granger non-causality in Vector Autoregressive models that involve variables that are integrated in an arbitrary order and that are possibly cointegrated. The estimation results support the export-led growth hypothesis for Chile and at the same time point out to the differentiated impact of manufactured and primary exports on the economic growth.
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