scholarly journals Investigating the Heterogeneity of Economic Convergence in Latin America Countries – An Econometric Analysis of Systems of Regression Equations

2020 ◽  
pp. 1-17
Author(s):  
Dawid Jarco ◽  
Mateusz Pipień

For a selected group of Latin America countries we estimated the parameters of convergence equations on the basis of annual data. We test cross-country heterogeneity of parameters within a system of Seemingly Unrelated Regression Equations (SURE) that departures from standard approach utilizing panel regressions. We show empirical evidence in favor of the variability of parameters describing the convergence effect and productivity growth rates across analyzed club of countries. We also test several restrictions leading to less parameterized models imposing constancy of parameters of interest across countries.

1996 ◽  
Vol 12 (3) ◽  
pp. 569-580 ◽  
Author(s):  
Paul Rilstone ◽  
Michael Veall

The usual standard errors for the regression coefficients in a seemingly unrelated regression model have a substantial downward bias. Bootstrapping the standard errors does not seem to improve inferences. In this paper, Monte Carlo evidence is reported which indicates that bootstrapping can result in substantially better inferences when applied to t-ratios rather than to standard errors.


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