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Survey Data

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  • Dataset

    By Department of Research and Chief Economist (VPS/RES/RES)
    The second round of the IDB/Cornell Coronavirus Survey is a follow-up to the first round of the IDB/Cornell Coronavirus Survey, which collected information related to the impacts of the Covid-19 pandemic on labor markets, food security, social distancing, and knowledge about the symptoms and forms of contagion of the Coronavirus. The main objective of the second round was to follow up with households participating in the first round, collecting more detailed information on household income and assets, as well as data on beneficiaries of social programs existing before the pandemic, financial inclusion, political preferences, and behaviors related to Covid-19 in general. The data collection procedure for the second round, as well as its dissemination, were carried out in the same way as for the first round. Data from the two rounds of the survey were combined to create a household-level data panel. By conducting a correlation exercise between participation in the second round and...
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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)
    This file contains the distribution of firm size at the industry level for formal firms in Brazil.
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  • Dataset

    By Connectivity, Markets and Finance Division (VPS/IFD/CMF)
    LACES is a comprehensive and internationally comparable firm level dataset covering 14 Caribbean territories. The dataset records firm level behavior related to a variety of aspects such as: sales, supplies, foreign trade and competition, innovation, conflict resolution, crime prevention, business environment and government relations, labour and skills, financing, performance, among others. The dataset uses the World Bank Enterprise Survey methodology. Until 2011, the region did not have a firm-level, internationally comparable data that could shed light on the variables that affect productivity. Compete Caribbean funded a Caribbean Enterprise and Indicator Survey that was conducted as part of the World Bank's 2010 Latin American and Caribbean Enterpise Survey (LACES) to fill this gap. The LACES and the PROTEqIN surveys share the bulk of the questions. Both datasets together comprise more than 4000 observations. These datasets are complemented by the FINGEN data, which registers...
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  • Dataset

    By Country Department Caribbean Group (VPC/CCB/CCB);Connectivity, Markets and Finance Division (VPS/IFD/CMF)
    PROTEqIN is a comprehensive and internationally comparable firm level dataset covering 14 Caribbean territories. The dataset records firm level behavior related to a variety of aspects such as: sales, supplies, foreign trade and competition, innovation, conflict resolution, crime prevention, business environment and government relations, labour and skills, financing, performance, among others. The dataset uses the World Bank Enterprise Survey methodology. In 2014, Compete Caribbean generated a new round of data by re-issuing the survey, updating the data on enterprises and including additional variables linked to productivity, technology and innovation (PROTEqIN) at the firm level. The LACES and the PROTEqIN surveys share the bulk of the questions. Both datasets together comprise more than 4000 observations. These datasets are complemented by the FINGEN data, which registers finance and gender characteristics at the firm level.
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