Update

Readme.md

@@ -5,12 +5,12 @@ Fernández-Villaverde and David Zarruk Valencia.
 
 ### Abstract from the paper
 
-> Parallel computing opens the door to solving and estimating much richer models in Economics. From dynamic optimization
+> Parallel computing opens the door to solving and estimating richer models in Economics. From dynamic optimization
 > problems with high dimensionality to structural estimation with complex data, readily-available and economical parallel
 > computing allows researchers to tackle problems in Economics that were beyond the realm of possibility just a decade ago. This
 > paper describes the basics of parallel computing for economists, reviews widely-used implementation routines in `Julia`, `Python`,
-> `R`, `Matlab`, `C++` (`OpenMP` and `MPI`) and `CUDA` and compares performance gains using, as a test bed a standard life-cycle problem
-> such as those in many models in macro, labor, and other fields.
+> `R`, `Matlab`, `C++` (`OpenMP` and `MPI`) and `CUDA` and compares performance gains using as a test bed a standard life-cycle problem
+> such as those used in macro, labor, and other fields.
 
 The file `Makefile` contains the compilation flags used in Linux and can be used to execute the codes in every language.
 

Readme.md~

@@ -27,4 +27,4 @@ The file `Makefile` contains the compilation flags used in Linux and can be used
 9. `Rcpp_main.cpp`: C++ code for Rcpp package in R
 10. `Rcpp_main.R`: Rcpp code
 11. `R_main.R`: R code
-
+12. `Makefile`: Makefile to execute codes