The Regional system of standardized Indicators in peaceful coexistence and Citizen Security (RIC) is a project through which 15 countries and two capital cities of Latin America and the Caribbean, have partnered to improve and compare their statistics on crime and violence. This initiative has been promoted and financed by the Inter-American Development Bank - IDB through the Regional Public Goods program under the coordination and execution of CISALVA Institute at the Universidad del Valle in Cali, Colombia. The citizen security indicators were designed, reviewed and approved by the project's partner countries, along with established definitions and methodologies for the standardizing of the collecting, processing and analyzing stages of the information flow in order to support the quality of the data published. These indicators were reviewed in various regional boards, resulting in the improvement of some of them and the selection of additional citizen security indicators. The indicators are obtained via administrative records and others via surveys. In order to ensure the comparability of the indicators, a standardization process of concepts relating to the variables of time, place, person and circumstance was developed.
This database provides measures of labor productivity (LP), capital and labor productivity (KLP) and Total Factor Productivity computed by Daude and Fernández-Arias (2010) for the 1960-2011 period, along with the inputs used to calculate them. This data spans 74 countries of them.
This database is an ongoing effort to update official fiscal data by the Bank and the Inter-American Center of Tax Administrations, and with the collaboration of OECD and ECLAC. The Equivalent Fiscal Pressure indicator makes use of a methodology that better reflects the particularities of the mobilization of fiscal resources in the region, and consists of three elements: 1) Traditional tax collection, which includes all taxes and fees levied at all levels of government; 2) Compulsory social security contributions, whether public or private, mostly to pension and health systems; and 3) Non-tax revenues derived from the exploitation of natural resources, whether renewable or not; i.e., fees, royalties, dividends paid and net profits from public enterprises. The information is presented broken down by type of tax at every level of government. The series are adjusted with updated GDP values for each country and information that becomes available for municipalities and social security, which tend to have a longer lag period compared to other tax statistics.
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.
The Dataset of Housing Indicators aims to give users access to quality information regarding urban housing and development, including policies and best practices related to housing conditions in Argentina, Brazil, Colombia, and Mexico.
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.
