This dataset contains information on Programa Nacional Cuna Más (Cuna Mas, hereinafter), Peru’s largest early childhood development program established in 2012. It focuses on one of the two services provided by Cuna Mas known as Servicio de Acompanamiento a Familias (SAF), a home visiting program that operates in rural areas and provides one-hour weekly home visits to children aged 0-36 months and their caregiver.

The objective of the study was to compare different instruments to measure the quality of home visiting programs. Between August and October 2015, three instruments were administered to a sample of 554 children enrolled in Cuna Mas and receiving home visits at the time of data collection, and on their 176 home visitors who regularly work with 80 supervisors.

The following quality instruments were administered:
• Home Visit Rating Scale, version A+2 (HOVRS; Roggman et al. 2010)
• Home Visit Content and Characteristics Form (HVCCF; Boller et al. 2009)
• A supervisor checklist

The first two quality instruments are widely used among home visiting services in the United States. For each child in the sample, one home visit was filmed and the videos were later coded to create the scores, following the instruments’ manuals. The checklist, on the other hand, was designed based on record forms used by Cuna Mas and other home visiting programs in low- and middle- income countries, and was administered live during the visit by the home visitor’s supervisor.

The final, multilevel dataset includes:
• 554 visits with an identical number of distinct children
• 176 home visitors
• 80 supervisors •

Methodology available at: https://idbg.sharepoint.com/teams/EZ-RG-ESW/RG-K1423/25%20Results%20Management/Publicaciones%20-%20Base%20de%20Datos/measuring-quality-and-characterizing-cuna-mas-home-visits.pdf

The Database of Political Institutions presents institutional and electoral results data such as measures of checks and balances, tenure and stability of the government, identification of party affiliation and ideology, and fragmentation of opposition and government parties in the legislature, among others. The current version of the database, which is now hosted at the IDB, expands its coverage to about 180 countries for 40 years, 1975–2015. Researchers at the World Bank Development Research Group first compiled the database in 2000 (see citation information below). It has become one of the most cited databases in comparative political economy and comparative political institutions. Almost 3000 studies have used this database so far as a source of institutional and political data in their empirical analysis.

The Brazilian Schools Panel database and Brazilian Municipal Education Panel Database combine and simplify 20 years' worth of data from the Brazilian School Census, educational testing, and educational indicators. This report provides an introduction to the data and serves as a road map to their strengths and limitations.

El objetivo de este proyecto es medir las inversiones en infraestructura en los países de América Latina y el Caribe, reportar su valor, difundir los resultados y promover el análisis de sus impactos. Se trata de recopilar, tratar y validar los recursos destinados a la infraestructura económica (agua y saneamiento, defensa contra inundaciones, energía, riego, telecomunicaciones y transporte) para realizar análisis y estudios, considerando tanto la inversión pública como la inversión privada. La tarea, que tuvo su inicio en el año 2011, está siendo expandida y profundizada en forma conjunta por CAF, BID y CEPAL, instituciones multilaterales profundamente comprometidas con el desarrollo de los países de la región.

This dataset contains information on Programa Nacional Cuna Más (Cuna Mas, hereinafter), Peru’s largest early childhood development program established in 2012. It focuses on one of the two services provided by Cuna Mas known as Servicio de Cuidado Diurno, a daycare service in marginalized urban areas that provides comprehensive care to children aged 6 to 36 months. Data were collected between November 2013 and January 2014 by the Inter-American Development Bank. The objective of the study was to estimate the association between caregiver quality and the development of very young children (6 to 24 months).

This dataset was created to support 2012 DIA - Room for Development: Housing Markets in Latin America and the Caribbean on the following topics: housing markets, urban housing.

Click here to access the data: https://mydata.iadb.org/d/qnym-ipm8

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. Also, visit the SIMS Website: https://www.iadb.org/es/sectores/inversion-social/sims/inicio

This dataset contains information on 404 Centros infantiles del Buen Vivir (CIBVs), Ecuador's primary providers of public child care services for infant and toddlers at the time of data collection in 2012. In 2012, The Inter-American Development Bank administered a battery of widely-used instruments to measure the quality of child care services in the CIBVs, including four internationally-recognized quality instruments that were then adapted for use in Ecuador.

This dataset was created to support 2011 DIA "Development Connections: Unveiling the Impact of New Information Technologies" on the following topics: ICT for development, ICT for productive development.

FINLAC es una base de datos de instituciones financieras reguladas con información sobre desempeño financiero e inclusión financiera por institución financiera. Cubre 7 periodos en el tiempo, más de 50 variables y cubre más de 2000 instituciones financieras. Utiliza información pública o provista al BID para estos efectos por parte de autoridades financieras, y en algunos casos excepcionales, por la propia institución.