Revisiting the returns of public infrastructure in Mexico: A limited information local likelihood estimation

Emmanuel Mamatzakis and Mike Tsionas

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Abstract: This paper revisits the issue of accurately decomposing productivity growth to the impact of public infrastructure at firm level for Mexican industry whether the underlying functional form is a profit or a cost function. Our framework decomposes productivity growth into different components, and in particular the contribution of public infrastructure. We also propose a novel limited information local likelihood (LILL) estimation method that adequately deals with the issue of the endogeneity and model misspecification. The reported evidence shows that public infrastructure enhances productivity growth through profit gains and cost savings in all ten two-digit Mexican industries, though some variability across time exists, notably in the nineties and the 2000s when a shortage of infrastructure is observed.

Keywords: Productivity growth; Public infrastructure; Limited information maximum likelihood (search for similar items in EconPapers)
Date: 2018-11
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Citations: View citations in EconPapers (3)

Published in Economic Modelling, 2018, 75, pp.132-141. ⟨10.1016/j.econmod.2018.06.013⟩

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Journal Article: Revisiting the returns of public infrastructure in Mexico: A limited information local likelihood estimation (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01992480

DOI: 10.1016/j.econmod.2018.06.013

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