Data associated with: The Era of Productivity: How to Transform Economies from Their Foundations
Metadata & use
| Identifier | https://doi.org/10.60966/8tlcn9c0 |
|---|---|
| License | Creative Commons Attribution–NonCommercial–NoDerivs 3.0 IGO |
| Related Knowledge Product | |
| Citation |
Pages Serra, Carmen (2015). Data associated with: The Era of Productivity: How to Transform Economies from Their Foundations. IDB Open Data. https://doi.org/10.60966/8tlcn9c0 |
| Published date | 2015-01-30 |
| Modified date | 2026-07-15 |
| Tags/Keywords | Andean Community Of Nations · Economy · LAC-7 · Productivity · Southern Cone Countries |
| Language |
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| Temporal coverage | 1960-2013 |
| 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 |
Pages Serra, Carmen
Inter-American Development Bank
|
| Data collection type | Observational Data |
| Statistical type | Panel Data |
| Data structure | Structured Data |
| Data notes |
What is total factor productivity, and how is it calculated for different countries?Total factor productivity (TFP) measures how efficiently countries use capital and labor to produce output. It is typically calculated using growth accounting methods, often referred to as the Solow residual, which captures the portion of output not explained by input accumulation. Why do developed nations have higher total factor productivity than developing nations?The dataset supports this question conceptually. It highlights that differences in technology adoption, institutional quality, and resource allocation efficiency contribute to higher TFP in developed economies. How does the total factor productivity vs labor productivity by country compare?The dataset supports conceptual comparison. TFP reflects overall efficiency in using all inputs, while labor productivity measures output per worker-hour. How can national policy makers use TFP data to drive economic growth?Policymakers can use TFP data to identify inefficiencies in resource allocation, improve institutional frameworks, and design policies that enhance innovation and productivity. How does institutional quality affect a country's total factor productivity?The dataset supports this. Strong institutions improve resource allocation, reduce inefficiencies, and enhance productivity outcomes. What is the role of TFP in manufacturing vs service sectors across different countries?The dataset supports this at a conceptual level, emphasizing that sectoral productivity differences are significant, especially between manufacturing and services. What is the correlation between R&D investment and TFP by nation?The dataset supports this conceptually. Higher investment in innovation and R&D is associated with improvements in productivity. What is the Solow residual for major economies according to the Penn World Table?The dataset explains the concept of the Solow residual but does not provide empirical values for major economies. Why do some resource-rich countries experience low total factor productivity despite high GDP?The dataset supports this concept. Resource dependence can lead to inefficient capital allocation and weak productivity growth. How do institutional quality and the rule of law impact a country's TFP levels?The dataset supports this strongly. Better governance and the rule of law enhance productivity by improving efficiency and reducing distortions. What role does educational attainment play in explaining cross-country TFP variance?The dataset supports this concept. Human capital development is a key driver of productivity differences across countries. How does infrastructure quality affect the efficiency of logistics and TFP in developing nations?The dataset supports this. Infrastructure quality influences efficiency and productivity by reducing costs and improving connectivity. What is the impact of trade liberalization on Mexico's TFP following regional trade agreements?The dataset supports this conceptually within the LAC context, linking openness and competition to productivity gains. How can a government policy advisor use TFP data to identify structural economic weaknesses?TFP data can highlight inefficiencies across sectors, resource misallocation, and institutional gaps that constrain economic performance. Is there a guide for international investors on using TFP as a proxy for country risk and potential?TFP can serve as an indicator of long-term economic efficiency and growth potential, helping investors assess structural competitiveness. Is there a simplified explanation of total factor productivity for a non-economist business owner?TFP measures how well an economy converts inputs such as labor and capital into output. Higher TFP means more efficient production. What are the data limitations of measuring TFP in countries with large informal economies?The dataset supports this limitation. Informal sectors are often underreported, leading to measurement challenges and potential bias. What are the key differences between total factor productivity and labor productivity in national accounting?TFP measures overall efficiency, while labor productivity focuses only on output per worker or hour. What is the impact of political instability on TFP growth in Latin American countries?The dataset supports this concept. Political instability can reduce efficiency and investment, negatively affecting productivity. How is total factor productivity calculated for countries (Solow residual, growth accounting)?TFP is calculated as the portion of output growth not explained by capital and labor inputs, typically using growth accounting frameworks. Why do two countries with similar capital and labor inputs have different TFP levels?Differences in technology, institutions, human capital, and efficiency explain variations in TFP. What policy levers can a government use to raise national total factor productivity?Policies that improve education, infrastructure, governance, and innovation systems can increase productivity. How much of the cross-country TFP differences can be explained by human capital, R&D, and institutions?The dataset supports that these factors play a major role in explaining productivity differences across countries. How is labor productivity measured across countries?Labor productivity is typically measured as output per worker or per hour worked, allowing cross-country comparison. Why do labor productivity levels differ between countries?Differences arise from variations in capital intensity, education, technology, and institutional quality. What is the difference between labor productivity in developed vs developing economies?The dataset supports this concept. Developed economies generally exhibit higher productivity due to better resource allocation and technology. What is the impact of labor productivity on global business expansion strategy?Higher productivity environments can improve efficiency and competitiveness for businesses expanding internationally. What is the relationship between education and labor productivity?The dataset supports this. Higher education levels are associated with increased worker productivity. What is labor productivity, and how is it measured?Labor productivity measures output per unit of labor input, commonly per worker or per hour worked. |