18) Over the Past Three Months, How Has Your Use of Nonprice Terms (for Example, Haircuts, Maximum Maturity, Covenants, Cure Periods, Cross-Default Provisions or Other Documentation Features) with Respect to Mutual Funds, ETFs, Pension Plans, and Endowments Across the Entire Spectrum of Securities Financing and OTC Derivatives Transaction Types Changed, Regardless of Price Terms?| Answer Type: Eased Somewhat

Number of Respondents, Quarterly, Not Seasonally Adjusted

ALLQ18ESNR • Economic Data from Federal Reserve Economic Data (FRED)

Latest Value

1.00

Year-over-Year Change

N/A%

Date Range

10/1/2011 - 1/1/2025

Summary

This economic indicator tracks the number of survey respondents in a quarterly, non-seasonally adjusted dataset. It provides insights into data collection methodologies and potential sample sizes for economic research.

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 trend represents a quantitative measure of survey participation across different economic research initiatives. Economists use this metric to understand the statistical reliability and representativeness of economic surveys.

Methodology

Data is collected through systematic quarterly surveys, with respondents counted and reported without seasonal adjustments.

Historical Context

This metric helps researchers and policymakers assess the robustness and potential bias in economic survey data.

Key Facts

  • Provides a raw count of survey participants
  • Represents quarterly, non-seasonally adjusted data
  • Useful for assessing survey statistical validity

FAQs

Q: What does this trend specifically measure?

A: It measures the total number of survey respondents in a given quarter without seasonal adjustments. This helps researchers understand sample size and potential data representativeness.

Q: Why are non-seasonally adjusted numbers important?

A: Non-seasonally adjusted data shows raw numbers without accounting for predictable seasonal variations. This can reveal unfiltered participation trends.

Q: How is this data typically used?

A: Researchers and economists use this to validate survey methodologies, assess response rates, and understand potential sampling biases in economic research.

Q: What limitations might this data have?

A: The metric only shows respondent count and does not provide qualitative insights into survey responses. It should be interpreted alongside other research metrics.

Q: How frequently is this data updated?

A: The data is updated quarterly, providing a consistent snapshot of survey participation over time.

Related News

Related Trends

Citation

U.S. Federal Reserve, Number of Respondents, Quarterly, Not Seasonally Adjusted [ALLQ18ESNR], retrieved from FRED.

Last Checked: 8/1/2025

18) Over the Past Three Months, How Has Your Use of Nonprice Terms (for Example, Haircuts, Maximum Maturity, Covenants, Cure Periods, Cross-Default Provisions or Other Documentation Features) with Respect to Mutual Funds, ETFs, Pension Plans, and Endowments Across the Entire Spectrum of Securities Financing and OTC Derivatives Transaction Types Changed, Regardless of Price Terms?| Answer Type: Eased Somewhat | US Economic Trends