100 Results

Cross-sectional Data

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  • Dataset

    By Health, Nutrition and Population Division (VPS/SCL/HNP)
    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.
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  • Dataset

    By Health, Nutrition and Population Division (VPS/SCL/HNP)
    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 Acompañamiento 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.
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  • Dataset

    By Social Sector (VPS/SCL/SCL)
    The Population and Housing Censuses database contains the censuses harmonized in such a way as to provide comparable census information over time and across countries. The variables in these databases are constructed under a common approach and structure, with standardized names, definitions, and disaggregations, and stored in a single file for each country. Currently, the harmonization of Population and Housing Censuses includes databases for 22 countries. The indicators are categorized into seven themes: demographics, education, labor market, housing, income, migration, and diversity. When possible, we add multiple disaggregations for indicators. The available disaggregations are ethnicity, gender, age, education level, and area of geographic residence. The management and harmonization of this database are provided by the Social Sector (SCL) of the Vice Presidency of Knowledge and Sectors to strengthen the analytical content of projects and studies.
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  • Dataset

    By Innovation in Citizen Services Division (VPS/IFD/ICS)
    Dataset related to the publication "Transformacao Digital dos Governos Brasileiros Satisfacao dos Cidados com os Serviços Públicos Digitais". The document summarizes the results of a new citizen satisfaction survey on digital public services in Brazil. It shows that the Brazilian population is connected and considers itself well adapted to the digital world, even with foreseeable inequalities of age, level of formal education and income. It aimed to collect information about the adaptation of citizens to the digital world, their level of perceived connectivity and internet use and their assessment of the quality of digital services in the public sector (focusing on the state level, but also with questions about the federal and municipal levels) and the private sector, among other topics.
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  • Dataset

    By Department of Research and Chief Economist (VPS/RES/RES)
    Medium Term Fiscal Frameworks (MTFs) have become one of the most popular reforms to the budgetary process in Latin America during the last decade, and introducing MTFs seemed to be the magic solution for most fiscal ailments. Nonetheless, there has been no comprehensive evaluation of their impact. This document discusses the normative merits of using MTFs, provides a characterization of the different types of MTF, and describes their development in the Latin American region based on extensive field work. As a first approximation for understanding how they are working, this document explores in detail the cases of Argentina, Colombia and Peru. While an unambiguous diagnosis is not possible, this document lays the groundwork for progress toward comprehensive impact evaluations and, eventually, to the consolidation of MTFs in the region.
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