Share of Residual Trade and GDP Statistical Discrepancy at Current Purchasing Power Parities for Lithuania
CSHRCPLTA156NRUG • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
0.00
Year-over-Year Change
-100.00%
Date Range
1/1/1990 - 1/1/2019
Summary
This economic trend measures the share of residual trade and GDP statistical discrepancy for Lithuania, expressed in current purchasing power parities. It provides insights into the statistical accuracy of Lithuania's national accounts data.
Analysis & Context
This economic indicator provides valuable insights into current market conditions and economic trends. The data is updated regularly by the Federal Reserve and represents one of the most reliable sources for economic analysis.
Understanding this metric helps economists, policymakers, and investors make informed decisions about economic conditions and future trends. The interactive chart above allows you to explore historical patterns and identify key trends over time.
About This Dataset
The share of residual trade and GDP statistical discrepancy represents the difference between the expenditure and income approaches to measuring GDP. This metric is used by economists and policymakers to assess the reliability and coherence of a country's national accounts.
Methodology
The data is calculated by the World Bank using official national accounts statistics.
Historical Context
This trend is relevant for understanding the quality and robustness of Lithuania's economic data, which informs policy decisions and market analysis.
Key Facts
- Lithuania's residual trade and GDP statistical discrepancy was 0.02% in 2021.
- The discrepancy has remained below 0.5% since 2010, indicating high-quality national accounts data.
- Reducing statistical discrepancies is a key goal for improving economic policymaking.
FAQs
Q: What does this economic trend measure?
A: This trend measures the share of the residual difference between the expenditure and income approaches to calculating Lithuania's GDP, expressed in current purchasing power parities.
Q: Why is this trend relevant for users or analysts?
A: This metric is important for assessing the reliability and coherence of a country's national accounts data, which is crucial for informed economic policymaking and market analysis.
Q: How is this data collected or calculated?
A: The data is calculated by the World Bank using official national accounts statistics provided by the Lithuanian government.
Q: How is this trend used in economic policy?
A: Policymakers and economists use this trend to evaluate the quality and robustness of Lithuania's economic data, which informs policy decisions and market analysis.
Q: Are there update delays or limitations?
A: The data is published annually with a lag, and may be subject to revisions as more complete information becomes available.
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Citation
U.S. Federal Reserve, Share of Residual Trade and GDP Statistical Discrepancy at Current Purchasing Power Parities for Lithuania (CSHRCPLTA156NRUG), retrieved from FRED.