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

C-Tier
Journal: Economic Modeling
Year: 2018
Volume: 75
Issue: C
Pages: 132-141

Score contribution per author:

0.503 = (α=2.01 / 2 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:eee:ecmode:v:75:y:2018:i:c:p:132-141
Journal Field
General
Author Count
2
Added to Database
2026-01-25