The database allows estimating structural fiscal balances for 20 countries in the region under different assumptions regarding the output gap and commodity structural prices. It is a unique database of its kind since: 1) It takes into consideration the distinct responsiveness of different types of revenues to changes in the output gap: In order to adjust for the impact of the business cycle on revenues, we calculate individual elasticities for each source of revenue (i.e. direct taxes, indirect taxes, revenues from non-renewable resources, etc.). Since the different types of revenues in the region have different sensitivities to changes in the output gap, this disaggregated approach allows for a more fine-tuned adjustment. 2) It includes estimations of SFBs based on output gaps’ projections available in “real time”. In addition to giving estimations of the actual SFBs, we provide with estimations of the SFBs that would have resulted should the projections on output gaps available to policymakers at the time of designing fiscal policy (data in “real time”) have been correct. This is in contrast to much of the existing work on structural fiscal balances that makes only an “ex post” analysis using actual and revised information on the output gaps. 3) It allows assessing the response of fiscal policy to the business cycle. We provide with measures of the fiscal impulse, assessing not only the actual but also the intentional fiscal stance, as well as the degree of procyclicality of fiscal policy.

Click here to access the data: https://mydata.iadb.org/idb/dataset/3itg-avtz

The database allows estimating structural fiscal balances for 20 countries in the region under different assumptions regarding the output gap and commodity structural prices. It is a unique database of its kind since: 1) It takes into consideration the distinct responsiveness of different types of revenues to changes in the output gap: In order to adjust for the impact of the business cycle on revenues, we calculate individual elasticities for each source of revenue (i.e. direct taxes, indirect taxes, revenues from non-renewable resources, etc.). Since the different types of revenues in the region have different sensitivities to changes in the output gap, this disaggregated approach allows for a more fine-tuned adjustment. 2) It includes estimations of SFBs based on output gaps’ projections available in “real time”. In addition to giving estimations of the actual SFBs, we provide with estimations of the SFBs that would have resulted should the projections on output gaps available to policymakers at the time of designing fiscal policy (data in “real time”) have been correct. This is in contrast to much of the existing work on structural fiscal balances that makes only an “ex post” analysis using actual and revised information on the output gaps. 3) It allows assessing the response of fiscal policy to the business cycle. We provide with measures of the fiscal impulse, assessing not only the actual but also the intentional fiscal stance, as well as the degree of procyclicality of fiscal policy.

Click here to access the data: https://mydata.iadb.org/idb/dataset/3itg-avtz

This set comprises the data collected to inform the 2016 Cybersecurity Report entitled Cybersecurity Are we ready in Latin America and the Caribbean?, result of the collaboration between the Inter-American Development Bank (IDB), the Organization of American States (OAS), and the Global Cyber Security Capacity Centre (GCSCC) at the University of Oxford. It was collected through an online survey based on the Cybersecurity Capability Maturity Model (CMM) developed by the GCSCC and translated into two languages (English and Spanish). After a piloting stage, the survey was administered to a wide cross-section of national stakeholders in 32 countries in Latin America and the Caribbean. The responses received were aggregated, reviewed, cleaned and complimented with additional sources of information.

Click here to access the data: https://mydata.iadb.org/d/cd6z-sjjc

This set comprises the data collected to inform the 2016 Cybersecurity Report entitled Cybersecurity Are we ready in Latin America and the Caribbean?, result of the collaboration between the Inter-American Development Bank (IDB), the Organization of American States (OAS), and the Global Cyber Security Capacity Centre (GCSCC) at the University of Oxford. It was collected through an online survey based on the Cybersecurity Capability Maturity Model (CMM) developed by the GCSCC and translated into two languages (English and Spanish). After a piloting stage, the survey was administered to a wide cross-section of national stakeholders in 32 countries in Latin America and the Caribbean. The responses received were aggregated, reviewed, cleaned and complimented with additional sources of information.

Click here to access the data: https://mydata.iadb.org/d/cd6z-sjjc

This set comprises the data collected to inform the 2016 Cybersecurity Report entitled Cybersecurity Are we ready in Latin America and the Caribbean?, result of the collaboration between the Inter-American Development Bank (IDB), the Organization of American States (OAS), and the Global Cyber Security Capacity Centre (GCSCC) at the University of Oxford. It was collected through an online survey based on the Cybersecurity Capability Maturity Model (CMM) developed by the GCSCC and translated into two languages (English and Spanish). After a piloting stage, the survey was administered to a wide cross-section of national stakeholders in 32 countries in Latin America and the Caribbean. The responses received were aggregated, reviewed, cleaned and complimented with additional sources of information.

Click here to access the data: https://mydata.iadb.org/d/cd6z-sjjc

The database allows estimating structural fiscal balances for 20 countries in the region under different assumptions regarding the output gap and commodity structural prices. It is a unique database of its kind since: 1) It takes into consideration the distinct responsiveness of different types of revenues to changes in the output gap: In order to adjust for the impact of the business cycle on revenues, we calculate individual elasticities for each source of revenue (i.e. direct taxes, indirect taxes, revenues from non-renewable resources, etc.). Since the different types of revenues in the region have different sensitivities to changes in the output gap, this disaggregated approach allows for a more fine-tuned adjustment. 2) It includes estimations of SFBs based on output gaps’ projections available in “real time”. In addition to giving estimations of the actual SFBs, we provide with estimations of the SFBs that would have resulted should the projections on output gaps available to policymakers at the time of designing fiscal policy (data in “real time”) have been correct. This is in contrast to much of the existing work on structural fiscal balances that makes only an “ex post” analysis using actual and revised information on the output gaps. 3) It allows assessing the response of fiscal policy to the business cycle. We provide with measures of the fiscal impulse, assessing not only the actual but also the intentional fiscal stance, as well as the degree of procyclicality of fiscal policy.

Click here to access the data: https://mydata.iadb.org/idb/dataset/3itg-avtz

The database allows estimating structural fiscal balances for 20 countries in the region under different assumptions regarding the output gap and commodity structural prices. It is a unique database of its kind since: 1) It takes into consideration the distinct responsiveness of different types of revenues to changes in the output gap: In order to adjust for the impact of the business cycle on revenues, we calculate individual elasticities for each source of revenue (i.e. direct taxes, indirect taxes, revenues from non-renewable resources, etc.). Since the different types of revenues in the region have different sensitivities to changes in the output gap, this disaggregated approach allows for a more fine-tuned adjustment. 2) It includes estimations of SFBs based on output gaps’ projections available in “real time”. In addition to giving estimations of the actual SFBs, we provide with estimations of the SFBs that would have resulted should the projections on output gaps available to policymakers at the time of designing fiscal policy (data in “real time”) have been correct. This is in contrast to much of the existing work on structural fiscal balances that makes only an “ex post” analysis using actual and revised information on the output gaps. 3) It allows assessing the response of fiscal policy to the business cycle. We provide with measures of the fiscal impulse, assessing not only the actual but also the intentional fiscal stance, as well as the degree of procyclicality of fiscal policy.

Click here to access the data: https://mydata.iadb.org/idb/dataset/3itg-avtz