The Database of Labor Markets and Social Security Information System (SIMS) is the most important source of information about jobs and pensions in Latin America and the Caribbean. It encompasses harmonized statistics of 23 countries in the region, assuring the comparability of the indicators among them and also over time. The dataset includes data since 1990 and it presents 72 main indicators, which can be broken down by age group, gender, zone, level of education and other. The SIMS contains information in 6 broad categories: population, employment, unemployment, income, social security and poverty. This database seeks to contribute to public policies design based on evidence to strengthen the development of the region.


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Claims managed by the Independent Consultation and Investigation Mechanism (MICI) to address social or environmental complaints related to IDB Group-financed projects.

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.

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This benchmarking index is a learning tool that evaluates the legal, regulatory and operating environments for Public Private Partnerships (PPPs) in transport, water/sanitation and electricity infrastructure for 19 Latin American and Caribbean countries. The analysis and scores in the model provide a comparable assessment of individual countries' readiness and facility for PPP project design and implementation. For the purpose of this index, PPP refers specifically to projects which involve a long-term contract between a public-sector body and a private-sector entity for the design, construction (or upgrading), operation and maintenance of public infrastructure; with finance usually provided by, and significant construction, operation and maintenance risks transferred to, the private-sector, which also bears either availability or demand risk; but with the public sector remaining responsible for policy oversight and regulation; and the infrastructure generally reverting to public-sector control at the end of the contract term.

This benchmarking index is a learning tool that evaluates the legal, regulatory and operating environments for Public Private Partnerships (PPPs) in transport, water/sanitation and electricity infrastructure for 19 Latin American and Caribbean countries. The analysis and scores in the model provide a comparable assessment of individual countries' readiness and facility for PPP project design and implementation. For the purpose of this index, PPP refers specifically to projects which involve a long-term contract between a public-sector body and a private-sector entity for the design, construction (or upgrading), operation and maintenance of public infrastructure; with finance usually provided by, and significant construction, operation and maintenance risks transferred to, the private-sector, which also bears either availability or demand risk; but with the public sector remaining responsible for policy oversight and regulation; and the infrastructure generally reverting to public-sector control at the end of the contract term.

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.

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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.

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The Public Management Evaluation Tool (PET) evaluates five “pillars” of the public policies' management cycle that are considered important for the implementation of Management for Development Results (MfDR): (i) results-based planning, (ii) results-based budgeting, (iii) public financial management (including auditing and procurement), (iv) program and project management (including the public investment system), and (v) monitoring and evaluation of public management. These pillars are broken down into components that track the maturity of institutional systems. The components are in turn composed of indicators and minimum requirements that these systems must have in an MfDR environment. All of these measures (minimum requirements, indicators, components, and pillars) are scored on a scale from 0 to 5, where a 5 indicates an ideal institutional situation.

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The OECD indicators of employment protection are synthetic indicators of the strictness of regulation on dismissals and the use of temporary contracts. They are compiled from 21 items covering three different aspects of employment protection regulations as they were in force on January 1st of each year.
Indicators for Latin American and Caribbean (LAC) countries have been constructed in cooperation with the Inter-American Development Bank (IDB). In these countries, data for 2014 refer to regulations in force on December 31st, 2013.

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