Using a spatial dynamic panel, the long-run industrial sector convergence rate across Mexico's states is found to be 2%. The model is a system-General Method of Moments with correction for spatial autocorrelation and an explicit human capital input. The significant inequality between the richest...

A production function analysis of the 32 Mexican regions reveals almost no technological progress and human capital impact in Mexican industry over a 44 year period. While extensive growth is found prior to 1985, little evidence for extensive or intensive growth except for the labor input is...

The impact of electricity consumption on aggregate regional Mexican industrial labor productivity is examined using a stochastic production function. Electricity consumption is also used to gauge macroeconomic informality that varies greatly across regions with no geographic advantage in...

Growth is examined using a standard two input stochastic production function (SPF) that creates a measure of technical efficiency. Convergence is measured using a convergence equation from the literature but which also included the results from the SPF analysis to incorporate not only initial...

The quarterly empirical relationship between Mexican manufacturing labor productivity and salaries 1993-2015 is examined for causality and whether first order labor market equilibrium is evident. An equilibrium would mean salaries and labor productivity are cointegrated. Wages above productivity...