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Labor

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  • Dataset

    By Social Protection and Labor Markets Division (VPS/SCL/SPL)
    In 2014, the Inter-American Development Bank began work to design a survey to obtain information on the Bolivian labor market, which was conducted in 2015 and 2016 in the metropolitan areas of La Paz, Cochabamba, and Santa Cruz. This database is an update of the data for the cities of La Paz, Cochabamba, and Santa Cruz. The data correspond to the year 2022 and come from a survey conducted by the Center for Information and Statistics Generation (CEGIE) of the Universidad Privada Boliviana (UPB) in the second half of 2022 and the first four months of 2023. The data were published in Urquidi et al (2023) Labor market survey in Bolivia: demand 2022 available at http://dx.doi.org/10.18235/0005213. The objective of the survey was to obtain information that, on the one hand, allows a general characterization of companies small, medium and large; and, on the other hand, facilitate the characterization of their workforce, including hiring and dismissal dynamics. Finally, the aim was to...
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  • Dataset

    By Social Protection and Labor Markets Division (VPS/SCL/SPL)
    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 25 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.
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  • Dataset

    By Social Protection and Labor Markets Division (VPS/SCL/SPL)
    The OECD/IDB indicators of employment protection legislation measure the procedures and costs involved in dismissing individuals or groups of workers and the procedures involved in hiring workers on fixed-term or temporary work agency contracts. The indicators have been compiled using IDB and OECD own reading of statutory laws, collective bargaining agreements and case law. The OECD Secretariat and the IDB equally share the responsibility of the interpretation of LAC countries’ statutory laws, collective bargaining agreements and case law. This database constitutes the first systematic approach to review and compare employment protection regulations in LAC, in a way that is also comparable with countries around the world.
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  • Dataset

    By Social Protection and Labor Markets Division (VPS/SCL/SPL)
    The database presents the results of the process of searching for documents and bibliography on the analysis of the characteristics and situation of the labor market in Bolivia. This version includes documents published up to 2018, which address the Bolivian reality in this area. In addition, some regional documents have been incorporated that offer relevant data or references on Bolivia or the Andean region.
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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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