27 Results

Linked To Publication Economy

Filtrar Resultados

  • Gasto Público No Contributivo en América Latina y el Caribe Datos: 2010-2015
    Dataset

    By Social Protection and Labor Markets Division (VPS/SCL/SPL)
    This paper presents new data documenting the level and evolution of public spending on non-contributory programs for 16 countries in Latin America and the Caribbean. Salaried formal workers contribute to social security and in return have access to an array of benefits -mainly old-age pensions and health services. In recent decades, informal workers – salaried and non-salaried- have gained access to similar benefits, financed through general revenues. Our calculations indicate that, on average, the region spends 1.7% of GDP in these programs. Although they were created in response to social demands, by targeting informal workers these programs may create a behavioral response -i.e. more informality. This paper does not attempt to measure behavioral effects. Its main contribution is to be the first to document this “subsidy to informality” following a common methodology across countries and years in the region.
    Mostrar más

    Cobertura geográfica Argentina · Bolivia · Brazil ...

    Cobertura temporal 2010-2015

    Published date 2019-03-19

  • Datos del PIB departamental y análisis de la desigualdad regional en el Perú (1795-2017)
    Dataset

    By Country Department Caribbean Group (VPC/CCB/CCB)
    In this study, we examine the regional income distribution in Peru from 1795 to 2017. To achieve this goal, we reconstructed long-term regional GDP and population series for Peru’s 24 departments. These series allowed us to analyze regional income inequality through dimensions such as inequality, modality, mobility, agglomeration, and convergence. The results indicate a persistent increase in regional inequality in Peru from the second half of the 19th century to the first half of the 20th century. The Gini coefficient, which measures regional inequality, shows a value of 0.2613 for 1795 and 0.3626 for 2017, with the highest value of 0.4283 recorded in 1934. The regional income distribution is bimodal, with no mobility between the extremes. For instance, the probability that a department poor in 1795 remains poor in 2017 is 94%, while the probability of a rich region remaining rich is 95%. However, significant mobility is observed among departments occupying the middle of the...
    Mostrar más

    Cobertura geográfica Peru

    Cobertura temporal 1795-2017

    Published date 2020-03-17