A Database on Currency Composition of Firm Liabilities in Latin America: 1990-2002
Metadata & use
| Identifier | https://doi.org/10.60966/7nvf2v7x |
|---|---|
| License | Creative Commons Attribution–NonCommercial–NoDerivs 3.0 IGO |
| Citation |
Kamil, H (2015). A Database on Currency Composition of Firm Liabilities in Latin America: 1990-2002. IDB Open Data. https://doi.org/10.60966/7nvf2v7x |
| Published date | 2015-06-02 |
| Modified date | 2026-06-25 |
| Tags/Keywords | Debt · Firms · Liabilities |
| Language |
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| Temporal coverage | 1990-2002 |
| Country |
Argentina
Bolivia
Brazil
Chile
Colombia
Costa Rica
Mexico
Peru
Uruguay
Venezuela
|
| Region | Latin America and the Caribbean |
| Publisher |
Inter-American Development Bank
|
| Author |
Kamil, H
Inter-American Development Bank
|
| Data collection type | Administrative Data |
| Statistical type | Panel Data |
| Data structure | Structured Data |
| Data notes |
Why is this dataset important?Understanding Latin American corporate debt is key to assessing financial vulnerability and the transmission of policy in emerging markets. What information does the dataset include?The dataset covers:
Which countries are included?The dataset includes major economies in Latin America and the Caribbean, such as:
Additional countries are included based on data availability from corporate balance sheets and financial statements. What period does the dataset cover?The Latin American debt dataset spans multiple years, allowing users to track changes in currency composition and debt structure over time. What can researchers do with this dataset?Researchers and policymakers can use this dataset to:
How does this dataset relate to other IDB debt databases?This dataset complements broader IDB resources on public and private debt in Latin America, including the LAC Debt Group Database and Public Debt Databases. What are the limitations of the dataset?Users should note that:
How can the data be linked to broader debt research?By combining this dataset with macroeconomic and exchange rate indicators, analysts can explore:
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