70) Over the Past Three Months, How Have the Terms Under Which CMBS Are Funded Changed?| A. Terms for Average Clients | 4. Collateral Spreads Over Relevant Benchmark (Effective Financing Rates). | Answer Type: Tightened Somewhat
Number of Respondents, Quarterly, Not Seasonally Adjusted
ALLQ70A4TSNR • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
0.00
Year-over-Year Change
N/A%
Date Range
10/1/2011 - 1/1/2025
Summary
This economic indicator tracks the number of survey respondents on a quarterly basis without seasonal adjustments. It provides insights into data collection methodologies and survey participation rates across various economic research efforts.
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
Economists use this metric to understand survey response dynamics and potential sampling variations in economic research. The trend helps validate the statistical reliability and representativeness of economic data collection processes.
Methodology
Data is collected through standardized quarterly surveys, with raw counts recorded without seasonal adjustment techniques.
Historical Context
This indicator is crucial for assessing survey quality, response rates, and potential sampling biases in economic research and policy analysis.
Key Facts
- Provides raw count of survey participants without seasonal modifications
- Helps validate statistical sampling methods in economic research
- Offers insights into survey participation trends
FAQs
Q: What does this trend specifically measure?
A: It tracks the number of survey respondents in a quarterly, non-seasonally adjusted format across economic research studies.
Q: Why are non-seasonally adjusted numbers important?
A: Non-seasonally adjusted data provides raw, unmodified counts that can reveal underlying participation patterns without statistical smoothing.
Q: How is this data typically used?
A: Researchers and economists use this trend to assess survey reliability, response rates, and potential sampling variations.
Q: What limitations exist in this data?
A: The trend only captures raw respondent counts and does not inherently explain the qualitative aspects of survey responses.
Q: How frequently is this data updated?
A: The data is updated quarterly, providing a consistent snapshot of survey participation over time.
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Citation
U.S. Federal Reserve, Number of Respondents, Quarterly, Not Seasonally Adjusted [ALLQ70A4TSNR], retrieved from FRED.
Last Checked: 8/1/2025