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Dépenses Publiques Non Contributives en Amérique Latine et dans les Caraïbes Données : 2010-2015

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.

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Metadata & use

Identifiant https://doi.org/10.60966/g43r-pn41
Licence Creative Commons Attribution–NonCommercial–NoDerivs 3.0 IGO
Relation
Citation

Izquierdo, Alejandro;Altamirano Montoya, Álvaro;Alaimo, Veronica;Dborkin, Daniela, 2019, Non-contributory Public Spending in Latin America and the Caribbean Data: 2010-2015, IDB Open Data, https://doi.org/10.60966/g43r-pn41
Issued date 2019-03-19
Modified date 2025-04-10
Balises/Mots-Clés Informal Labor · Labor Market · Labor Policy · Non Contributory Pension · Pension · Public Expenditure · Workforce and Employment · Working Condition
Langue English
Couverture Temporelle 2010-2015
Couverture Géographique
Argentina
Bolivia
Brazil
Chile
Colombia
Costa Rica
Ecuador
El Salvador
Guam
Honduras
Jamaica
Mexico
Nicaragua
Paraguay
Peru
Uruguay
Couverture Régionale Amérique Latine et Caraïbes
Éditeur
Inter-American Development Bank
Auteur
Izquierdo, Alejandro
Altamirano Montoya, Álvaro
Alaimo, Veronica
Dborkin, Daniela
Type de Collecte de Données Donnée administrative
Structure des Données Semistructured Data

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