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...

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...

Carrion-i-Silvestre J. L. and GERMAN-SOTO V. (2007) Stochastic convergence amongst Mexican states, Regional Studies 41, 531-541. The paper investigates the convergence process experienced by the Mexican states in the period 1940-2001. The analysis indicates that misleading conclusions can be...

The stochastic convergence amongst Mexican Federal entities is analyzed in panel data framework. The joint consideration of cross-section dependence and multiple structural breaks is required to ensure that the statistical inference is based on statistics with good statistical properties. Once...

Allocation of water resources between Mexico and the United States is a sensitive agenda in the lower Rio Grande, mainly in stages of hard drought. It has allowed surface water allocation practices to evolve and continue to be refined. This work applies the cointegration theory on historical...