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  • productivity-infra June2018

    Rights statement: This is the author’s version of a work that was accepted for publication in Economic Modelling. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Economic Modelling, 75, 2018 DOI: 10.1016/j.econmod.2018.06.013

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

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Revisiting the returns of public infrastructure in Mexico: a limited information local likelihood estimation. / Mamatzakis, E.; Tsionas, M.
In: Economic Modelling, Vol. 75, 11.2018, p. 132-141.

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Mamatzakis E, Tsionas M. Revisiting the returns of public infrastructure in Mexico: a limited information local likelihood estimation. Economic Modelling. 2018 Nov;75:132-141. Epub 2018 Jul 19. doi: 10.1016/j.econmod.2018.06.013

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Bibtex

@article{1cecc6f7f1a64f52984b2545af88a21e,
title = "Revisiting the returns of public infrastructure in Mexico: a limited information local likelihood estimation",
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",
author = "E. Mamatzakis and M. Tsionas",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Economic Modelling. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Economic Modelling, 75, 2018 DOI: 10.1016/j.econmod.2018.06.013",
year = "2018",
month = nov,
doi = "10.1016/j.econmod.2018.06.013",
language = "English",
volume = "75",
pages = "132--141",
journal = "Economic Modelling",
issn = "0264-9993",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Revisiting the returns of public infrastructure in Mexico

T2 - a limited information local likelihood estimation

AU - Mamatzakis, E.

AU - Tsionas, M.

N1 - This is the author’s version of a work that was accepted for publication in Economic Modelling. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Economic Modelling, 75, 2018 DOI: 10.1016/j.econmod.2018.06.013

PY - 2018/11

Y1 - 2018/11

N2 - 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.

AB - 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.

KW - Productivity growth

KW - Public infrastructure

KW - Limited information maximum likelihood

U2 - 10.1016/j.econmod.2018.06.013

DO - 10.1016/j.econmod.2018.06.013

M3 - Journal article

VL - 75

SP - 132

EP - 141

JO - Economic Modelling

JF - Economic Modelling

SN - 0264-9993

ER -