Automated Author Profile

Carrillo, Julio

Banco de Mexico

Current S-Index

2.2

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.5

Average Dataset Index per dataset

Total Datasets

4

Total datasets for this author

Average FAIR Score

73.1%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Tight Money-Tight Credit: Coordination Failure in the Conduct of Monetary and Financial Policies (Version: v0)

This project contains replica codes of all tables and figures presented in the paper and appendix of "Tight Money-Tight Credit: Coordination Failure in the Conduct of Monetary and Financial Policies". Among these files, you will find those containing the model we used to conduct our analysis (compatible with Dynare version 4.5.x), as well as the solver algorithms to compute the model’s long-run equilibrium using Matlab’s parallel computing toolbox, and Andreasen, Fernández-Villaverde and Rubio-Ramírez (2017)’s pruning algorithm to solve the stochastic steady state of the model. You will also find some pre-loaded results in case you want to jump directly into replicating the paper’s figures and tables.

Authors

  • Carrillo, Julio ;
  • Mendoza, Enrique ;
  • Nuguer, Victoria ;
  • Roldán-Peña, Jessica
0 Citations0 Mentions73% FAIR0.5 Dataset Index
10.3886/e1175042021

Tight Money-Tight Credit: Coordination Failure in the Conduct of Monetary and Financial Policies (Version: v3)

This project contains replica codes of all tables and figures presented in the paper and appendix of "Tight Money-Tight Credit: Coordination Failure in the Conduct of Monetary and Financial Policies". Among these files, you will find those containing the model we used to conduct our analysis (compatible with Dynare version 4.5.x), as well as the solver algorithms to compute the model’s long-run equilibrium using Matlab’s parallel computing toolbox, and Andreasen, Fernández-Villaverde and Rubio-Ramírez (2017)’s pruning algorithm to solve the stochastic steady state of the model. You will also find some pre-loaded results in case you want to jump directly into replicating the paper’s figures and tables.

Authors

  • Carrillo, Julio ;
  • Mendoza, Enrique ;
  • Nuguer, Victoria ;
  • Roldán-Peña, Jessica
0 Citations0 Mentions73% FAIR0.5 Dataset Index
10.3886/e117504v32021

Tight Money-Tight Credit (Version: 1)

This project contains replica codes of most tables and figures presented in the paper "Tight Money-Tight Credit: Coordination Failure in the Conduct of Monetary and Financial Policies", in particular for Tables 3, 4 and 5, and Figures 2 to 7. Among these files, you will find those containing the model we used to conduct our analysis (compatible with Dynare version 4.5.x), as well as the solver algorithms to compute the model’s long-run equilibrium using Matlab’s parallel computing toolbox, and Andreasen, Fernández-Villaverde and Rubio-Ramírez (2017)’s pruning algorithm to solve the stochastic steady state of the model. You will also find some pre-loaded results in case you want to jump directly into replicating the paper’s figures and tables.

Authors

  • Carrillo, Julio
0 Citations0 Mentions73% FAIR0.4 Dataset Index
10.3886/e117504v12020

Tight Money-Tight Credit: Coordination Failure in the Conduct of Monetary and Financial Policies (Version: 2)

This project contains replica codes of most tables and figures presented in the paper "Tight Money-Tight Credit: Coordination Failure in the Conduct of Monetary and Financial Policies", in particular for Tables 3, 4 and 5, and Figures 2 to 7. Among these files, you will find those containing the model we used to conduct our analysis (compatible with Dynare version 4.5.x), as well as the solver algorithms to compute the model’s long-run equilibrium using Matlab’s parallel computing toolbox, and Andreasen, Fernández-Villaverde and Rubio-Ramírez (2017)’s pruning algorithm to solve the stochastic steady state of the model. You will also find some pre-loaded results in case you want to jump directly into replicating the paper’s figures and tables.

Authors

  • Carrillo, Julio ;
  • Mendoza, Enrique ;
  • Nuguer, Victoria ;
  • Roldán-Peña, Jessica
1 Citation0 Mentions73% FAIR0.8 Dataset Index
10.3886/e117504v22020