Desde el Instituto para la Integración de América Latina y el Caribe (INTAL) del Sector de Integración y Comercio del Banco Interamericano de Desarrollo (BID) se realiza esta encuesta a firmas de América Latina y el Caribe (ALC) que exportan tanto dentro de la región como a nivel extrarregional. El objetivo del análisis es entender cómo evolucionan sus exportaciones, cuáles son los problemas que enfrentan, qué medidas han tomado, cuáles son las políticas públicas de apoyo que han recibido y cuál es la visión prospectiva de las empresas.

Results of the Civil Service Development Index (CSDI), obtained from diagnostics of the institutional quality of civil service systems in 16 Latin American countries. The IDB supported the design of a methodology that evaluates critical points to assess the civil services and carried out country evaluations in 2004. Between 2011 and 2013, a second group of diagnostics second group of diagnostics were completed (with the support of the Inter-American Development Bank, and in the case of Central American countries and Dominican Republic with the support of the Spanish Agency for International Cooperation and Development –AECID- and the Central American Integration System-SICA). Scores are available for 2004, 2011, 2012, 2013 and 2015 (year of second and/or third measurement varies per country). During the first assessment, 93 critical points were identified; each of those fed a subsystem and an index. In 2010 the methodology was simplified to 33 critical points and the base line was recalibrated to ensure comparability. The methodology is based in the identification of critical points that feed 8 subsystems: 1. Human Resources Planning, 2. Work Organization, 3. Employment management, 4. Performance management, 5. Compensation management, 6. Development management, 7. Human and social relations management, 8. HR Function organization; and 5 indexes: 1. Efficiency, 2. Merit, 3. Structural consistency, 4. Functional capacity, and 5. Integrating capacity.

Click here to access the data: https://mydata.iadb.org/d/ddw5-db4y

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 Discussion Paper: Advanced Experiences in Cybersecurity Policies and Practices- an Overview of Estonia, Israel, South Korea and the United States, result of the collaboration between Dr. James A. Lewis from the Center for Strategic International Studies (CSIS) and the Inter-American Development Bank (IDB). The data is based on the Cybersecurity Capability Maturity Model (CMM) jointly developed by the Organization of American States (OAS), the Inter-American Development Bank and the Global Cyber Security Capacity Center (GCSCC) at the University of Oxford and it supports the structured assessment of these four countries cybersecurity experiences and the lessons learned derived from them. This data set compliments the 2016 Cyber Security Report Data Set published in April 2016.

Click here to access the data: https://mydata.iadb.org/d/a9yc-jpsa

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