Data associated with: Outsiders? The Changing Patterns of Exclusion in Latin America and the Caribbean - IPES 2008
Metadata & use
| Identifier | https://doi.org/10.60966/b8dbrw19 |
|---|---|
| License | Creative Commons Attribution–NonCommercial–NoDerivs 3.0 IGO |
| Related Knowledge Product | |
| Citation |
Márquez, Gustavo, et al. (2015). Data associated with: Outsiders? The Changing Patterns of Exclusion in Latin America and the Caribbean - IPES 2008. IDB Open Data. https://doi.org/10.60966/b8dbrw19 |
| Published date | 2015-01-30 |
| Modified date | 2026-07-15 |
| Tags/Keywords | Andean Community Of Nations · Exclusion · LAC-7 |
| Language |
|
| Temporal coverage | 1981-2013 |
| Country |
Argentina
Bahamas
Barbados
Belize
Bolivia
Brazil
Chile
Colombia
Costa Rica
Dominican Republic
Ecuador
El Salvador
Guatemala
Guyana
Haiti
Honduras
Jamaica
Mexico
Nicaragua
Panama
Paraguay
Peru
Suriname
Trinidad & Tobago
Uruguay
Venezuela
|
| Region | Latin America and the Caribbean |
| Publisher |
Inter-American Development Bank
|
| Author |
Márquez, Gustavo
Chong, Alberto E.
Duryea, Suzanne
Mazza, Jacqueline
Ñopo, Hugo R.
Inter-American Development Bank
|
| Data collection type | Observational Data |
| Statistical type | Panel Data |
| Data structure | Structured Data |
| Data notes |
What does this dataset measure?The dataset includes indicators on poverty, labor markets, and social exclusion. These indicators provide a foundation for analyzing patterns of inequality and economic mobility by country in Latin America and the Caribbean. Which countries are covered?The dataset covers most countries in Latin America and the Caribbean, enabling cross-country comparisons of poverty reduction, labor outcomes, and social inclusion. What years are available in the dataset?The data span several decades, from the early 1980s through the 2010s. This allows researchers to track long-term changes in mobility and exclusion. How does the dataset define economic mobility by country?Economic mobility is analyzed through trends in poverty reduction, income distribution, and labor participation, offering insight into how opportunities for advancement differ across countries. Can I compare differences in urban and rural mobility?Yes. Some indicators include disaggregation that highlights disparities in poverty and labor outcomes between urban and rural populations. What sources were used to compile this dataset?The data are drawn from international sources, including household surveys, labor statistics, and national censuses, and are harmonized for cross-country comparability. How can policymakers and researchers use this dataset?The dataset provides evidence to evaluate the effectiveness of social policies, labor market reforms, and poverty reduction programs in promoting economic mobility across countries. What is the influence of housing affordability on labor mobility and economic advancement?Housing variables may be partially reflected in this IDB dataset through indicators of living conditions and access, but mobility outcomes are not directly measured. |