Agricultural Productivity Indices Data for Latin America and the Caribbean 1961-2021: Dataset
Metadata & use
| Identifier | https://doi.org/10.60966/tnztso0h |
|---|---|
| License | Creative Commons Attribution 4.0 International |
| Related Knowledge Product | |
| Citation |
Salazar, Lina, et al. (2025). Agricultural Productivity Indices Data for Latin America and the Caribbean 1961-2021: Dataset. IDB Open Data. https://doi.org/10.60966/tnztso0h |
| Published date | 2025-06-04 |
| Modified date | 2026-10-28 |
| Tags/Keywords | Agricultural Productivity · Total Factor Productivity · TFP · Index Numbers · Inputs · Outputs · Cross-Country Comparisons · Factor Shares |
| Language |
|
| Temporal coverage | 1961-2021 |
| Country |
Argentina
Bahamas
Paraguay
Peru
Belize
Honduras
Costa Rica
Dominican Republic
Ecuador
Jamaica
Mexico
Nicaragua
Panama
Bolivia
Brazil
Guatemala
El Salvador
Suriname
Trinidad & Tobago
Uruguay
Venezuela
Guyana
Haiti
Chile
Colombia
|
| Publisher |
Inter-American Development Bank
|
| Author |
Salazar, Lina
De Salvo, Carmine Paolo
Rondinone, Gonzalo
Schling, Maja
Tadeo, Diana
Nin Pratt, Alejandro
|
| Data collection type | Observational Data |
| Statistical type | Panel Data |
| Data structure | Structured Data |
| Dataset unit of observation |
Country |
| Data notes |
What is this dataset?The Agricultural Productivity Indices Database compiles standardized, comparable agricultural productivity data across countries and over time. Who developed this dataset?The dataset was compiled by Lina Salazar and Carmine Paolo De Salvo of the Inter-American Development Bank (IDB), drawing on official data from the U.S. Department of Agriculture (USDA), Economic Research Service (ERS). What are the primary data sources?The primary source is the USDA International Agricultural Productivity (IAP) dataset, published by the Economic Research Service (ERS). What indicators are included?The dataset provides multiple indicators to evaluate agricultural performance:
- Total Factor Productivity (TFP) indices All indices are normalized to a 2015 baseline for comparability. How can the data be used?Researchers and policymakers can use this dataset to:
- Compare agriculture productivity data across countries and years How are Total Factor Productivity (TFP) indices computed?TFP indices are derived using both USDA IAP data and alternative methodologies such as Hicks-Moorsteen, Fare-Primont, and Lowe approaches. What regions are covered?The dataset covers multiple countries across Latin America, the Caribbean, and other regions, providing a global context for agricultural productivity data. What time period does the dataset cover?The dataset includes annual observations from the earliest available year in the USDA IAP series through 2025, with all data standardized to 2015 constant prices. |