Share of Residual Trade and GDP Statistical Discrepancy at Current Purchasing Power Parities for Italy
CSHRCPITA156NRUG • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
0.00
Year-over-Year Change
-50.58%
Date Range
1/1/1950 - 1/1/2019
Summary
This trend measures the statistical discrepancy between Italy's trade flows and GDP at purchasing power parity. It provides insights into data quality and reconciliation challenges in international economic accounting.
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 statistical discrepancy between a country's trade flows and GDP is a well-known measurement challenge. This trend tracks Italy's share of this discrepancy, shedding light on the complexities of harmonizing trade and national accounts data.
Methodology
The data is calculated by the OECD from primary national accounts and trade statistics.
Historical Context
Economists and policymakers use this metric to understand data reliability and adjust economic models accordingly.
Key Facts
- Italy's trade-GDP discrepancy averages around 1% of GDP.
- The discrepancy reflects challenges in harmonizing different data sources.
- Reducing this gap is an ongoing priority for economic statisticians.
FAQs
Q: What does this economic trend measure?
A: This trend measures the statistical discrepancy between Italy's trade flows and its GDP, calculated at purchasing power parity.
Q: Why is this trend relevant for users or analysts?
A: The trade-GDP discrepancy provides insights into data quality and reconciliation challenges, which is crucial for economic modeling and policymaking.
Q: How is this data collected or calculated?
A: The data is calculated by the OECD using primary national accounts and trade statistics.
Q: How is this trend used in economic policy?
A: Economists and policymakers use this metric to understand data reliability and adjust their economic models and analyses accordingly.
Q: Are there update delays or limitations?
A: There can be delays in data reporting and revisions, as the metric relies on harmonizing different statistical sources.
Related Trends
Share of Merchandise Imports at Current Purchasing Power Parities for United States
CSHMCPUSA156NRUG
Share of Government Consumption at Current Purchasing Power Parities for Brunei Darussalam
CSHGCPBNA156NRUG
Share of Merchandise Imports at Current Purchasing Power Parities for Dominican Republic
CSHMCPDOA156NRUG
Share of Gross Capital Formation at Current Purchasing Power Parities for Uruguay
CSHICPUYA156NRUG
Share of Government Consumption at Current Purchasing Power Parities for Sudan
CSHGCPSDA156NRUG
Share of Merchandise Imports at Current Purchasing Power Parities for Ghana
CSHMCPGHA156NRUG
Citation
U.S. Federal Reserve, Share of Residual Trade and GDP Statistical Discrepancy at Current Purchasing Power Parities for Italy (CSHRCPITA156NRUG), retrieved from FRED.