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Structured Data

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  • Dataset

    Por Department of Research and Chief Economist (VPS/RES/RES)
    This is the data used for the estimation of the GVAR model as in "China's Emergence in the World Economy and Business Cycles in Latin America" (access the study in the related URL Section). The dataset includes quarterly data for twenty-five major advanced and emerging economies plus the euro area, covering more than 90 percent of world GDP. The variables included in the dataset are real GDP, CPI inflation, real equity prices, real exchange rates, short-term and long-term interest rates, and the price of oil. Updates of this dataset -together with the baseline GVAR code- can be found in the Related URL section below. Years covered: 1979 - 2009.
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  • Dataset

    Por 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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  • Dataset

    Por Innovation in Citizen Services Division (VPS/IFD/ICS)
    The Inter-American Development Bank (IDB), in collaboration with Compete Caribbean, launched a follow-up survey in Barbados, Jamaica and Trinidad and Tobago. This follow-up survey was a complement to the Caribbean Enterprise and Indicator Survey 2011 (CES 2011) that was conducted as part of the Latin American and Caribbean Enterprise Surveys (LACES) implemented jointly by the Inter-American Development Bank (IDB), Compete Caribbean, and the World Bank (WB). This survey on Finance and Gender Issues in the Caribbean (FINGEN) targeted about 400 respondents drawn from the recently completed LACES and aimed to provide feedback from enterprises that participated in the previous round of surveys in 2011 and to capture additional information on firm performance, finance, gender of ownership and management, use of productive development programs, and issues related to management style.
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  • Dataset

    Por Department of Research and Chief Economist (VPS/RES/RES)
    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.
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  • Dataset

    Por Department of Research and Chief Economist (VPS/RES/RES)
    The Brazilian Electoral Panel Study (BEPS) was designed primarily to capture campaign dynamics at the national level during the 2010 Brazilian presidential election. It aimed at generating data that make it possible to i) measure electoral volatility at the individual level during political campaigns, and ii) explore the ways in which both short and long-term factors affect this process and the ultimate vote decision. The Brazilian Electoral Panel Study is composed of three waves conducted in March and April, August, and November of 2010. The first wave was implemented about six months prior to the first round of the election and before the official launch of the political campaign that began in July with the nomination of candidates. It was conducted as part of the 2010 AmericasBarometer of the Latin American Public Opinion Project (LAPOP). Wave Two of the survey predated the beginning of the Free Electoral Airtime (Hor√°rio Gratuito de Propaganda Eleitoral or HGPE), in which...
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