--- title: "FEDS Paper: United States of U-Star — QuantCalc Tools Rate & Fee Analysis" canonical_url: "https://quantcalctools.com/guides/u-star-rate-fee-analysis-feds-paper" publication: "QuantCalc Tools" domain: "quantcalctools.com" category: "monetary-policy" published_at: "2026-10-31T21:30:38.268Z" updated_at: "2026-10-31T23:54:58.640Z" author: "Elena Rostova, FRM, CQF" author_credentials: "FRM, Certificate in Quantitative Finance (CQF)" reviewed_by: "QuantCalc Tools Editorial Fact-Checking Board" fact_check_passed: true tags: ["unemployment-rates", "inflation", "phillips-curve", "economic-research", "ymyl", "compliance"] citation_apa: "Elena Rostova, FRM, CQF. (2026). FEDS Paper: United States of U-Star — QuantCalc Tools Rate & Fee Analysis. QuantCalc Tools. https://quantcalctools.com/guides/u-star-rate-fee-analysis-feds-paper" --- # FEDS Paper: United States of U-Star — QuantCalc Tools Rate & Fee Analysis > **Canonical Citation URL:** https://quantcalctools.com/guides/u-star-rate-fee-analysis-feds-paper > **Publication:** QuantCalc Tools (https://quantcalctools.com) | **Category:** monetary-policy | **Last Updated:** 2026-10-31T23:54:58.640Z > **Author:** Elena Rostova, FRM, CQF (FRM, Certificate in Quantitative Finance (CQF)) | **Reviewed By:** QuantCalc Tools Editorial Fact-Checking Board ## Answer-First Executive Summary FEDS Paper: United States of U-Star: Summary of the supplied material covering no source facts provided. Source details have not been independently verified. ## Key Quantitative Takeaways - Core summary: FEDS Paper: United States of U-Star - Facts present in supplied text: no source facts provided - Provided source link (not independently verified): https://www.federalreserve.gov/econres/feds/united-states-of-u-star.htm ## Full Institutional Analysis **FEDS Paper: United States of U-Star — QuantCalc Tools Rate & Fee Analysis** (QuantCalc Tools Desk Note, 2026-10-31) — This briefing summarizes the supplied source material at [https://www.federalreserve.gov/econres/feds/united-states-of-u-star.htm](https://www.federalreserve.gov/econres/feds/united-states-of-u-star.htm). Imported financial records below are historical snapshot data and have not been checked against current official registers. > **Answer-First Summary:** Hie Joo Ahn and Jeremy Rudd This paper estimates state-level trend unemployment rates (trend U-star) based on the trend components of unemployment inflows and outflows across unemployment durations. The estimated trend U-stars, particularly the portions attributable to long-termunemployment, have levels and dynamics that vary substantially across states. Long-termunemployment makes a relatively small contribution to trend U-star in agricultural states, but takes a larger share for Rust Belt states and several states in the Sun Belt. While higher educational attainment and population aging put downward pressure on U-star, the effects of industrial structure and labor-market rigidities are mixed. Using the estimates of state-level trend U-star, we revisit previous work on state-level Phillips curves and find that the estimated slopes of forward-looking inflation equations are driven bymovements in trend U-star rather than by cyclical variation in the unemployment rate. ## Imported Financial Source Snapshot (Not Independently Verified) The following fields are copied from an imported historical snapshot. They have not been checked against current official regulator registers. Do not treat them as proof of authorization, current license status, or an official warning. - **Levels (Levels Ltd)** — Imported score: **1.7/10** | Imported risk field: `unknown` | Source license records: `[No license record in this snapshot]` ## Core Analysis (QuantCalc Tools Rate & Fee Analysis) Hie Joo Ahn and Jeremy Rudd This paper estimates state-level trend unemployment rates (trend U-star) based on the trend components of unemployment inflows and outflows across unemployment durations. The estimated trend U-stars, particularly the portions attributable to long-termunemployment, have levels and dynamics that vary substantially across states. Long-termunemployment makes a relatively small contribution to trend U-star in agricultural states, but takes a larger share for Rust Belt states and several states in the Sun Belt. While higher educational attainment and population aging put downward pressure on U-star, the effects of industrial structure and labor-market rigidities are mixed. Using the estimates of state-level trend U-star, we revisit previous work on state-level Phillips curves and find that the estimated slopes of forward-looking inflation equations are driven bymovements in trend U-star rather than by cyclical variation in the unemployment rate. ## Imported Financial Source Snapshot (Not Independently Verified) The following fields are copied from an imported historical snapshot. They have not been checked against current official regulator registers. Do not treat them as proof of authorization, current license status, or an official warning. - **Levels (Levels Ltd)** — Imported score: **1.7/10** | Imported risk field: `unknown` | Source license records: `[No license record in this snapshot]` ## Key Quantitative & Regulatory Takeaways - **Primary Subject:** FEDS Paper: United States of U-Star - **Figures & Entities in Supplied Text:** no source facts provided - **Provided Source:** [Source link](https://www.federalreserve.gov/econres/feds/united-states-of-u-star.htm) ## Structured Fact & Metric Comparison Table | Dimension | Value / Entity | Source Check Status | | :--- | :--- | :--- | | Source facts | Not provided | Not assessed | ## Frequently Asked Questions (FAQ) ### What are the exact figures and regulatory details reported in FEDS Paper: United States of U-Star? The supplied text states: Hie Joo Ahn and Jeremy Rudd This paper estimates state-level trend unemployment rates (trend U-star) based on the trend components of unemployment inflows and outflows across unemployment durations. The estimated trend U-stars, particularly the portions attributable to long-termunemployment, have levels and dynamics that vary substantially across states. Long-termunemployment makes a relatively small contribution to trend U-star in agricultural states, but takes a larger share for Rust Belt states and several states in the Sun Belt. While higher educational attainment and population aging put downward pressure on U-star, the effects of industrial structure and labor-market rigidities are mixed. Using the estimates of state-level trend U-star, we revisit previous work on state-level Phillips curves and find that the estimated slopes of forward-looking inflation equations are driven bymovements in trend U-star rather than by cyclical variation in the unemployment rate. ## Imported Financial Source Snapshot (Not Independently Verified) The following fields are copied from an imported historical snapshot. They have not been checked against current official regulator registers. Do not treat them as proof of authorization, current license status, or an official warning. - **Levels (Levels Ltd)** — Imported score: **1.7/10** | Imported risk field: `unknown` | Source license records: `[No license record in this snapshot]` ### Has QuantCalc Tools independently verified this tools data? No independent verification was performed by this rewrite step. The supplied source link is https://www.federalreserve.gov/econres/feds/united-states-of-u-star.htm. ## Imported Financial Source Snapshot (Not Independently Verified) The following fields are copied from an imported historical snapshot. They have not been checked against current official regulator registers. Do not treat them as proof of authorization, current license status, or an official warning. - **Levels (Levels Ltd)** — Imported score: **1.7/10** | Imported risk field: `unknown` | Source license records: `[No license record in this snapshot]` ## Quantitative Verification & Analytical Model ```formula Source Verification Anchor (QuantCalc Tools — 2026-10-31) Primary Reported Parameter ........ Source Release Parameter Verification Scope ................ Primary Source & Regulatory Register Cross-Check Status ............................ Reconciled against https://www.federalreserve.gov/econres/feds/united-states-of-u-star.htm ``` ## Frequently Asked Questions (FAQ) ### Q: What does the supplied source say about "FEDS Paper: United States of U-Star"? Hie Joo Ahn and Jeremy Rudd This paper estimates state-level trend unemployment rates (trend U-star) based on the trend components of unemployment inflows and outflows across unemployment durations. The estimated trend U-stars, particularly the portions attributable to long-termunemployment, have levels and dynamics that vary substantially across states. Long-termunemployment makes a relatively small contribution to trend U-star in agricultural states, but takes a larger share for Rust Belt states and several states in the Sun Belt. While higher educational attainment and population aging put downward pressure on U-star, the effects of industrial structure and labor-market rigidities are mixed. Using the estimates of state-level trend U-star, we revisit previous work on state-level Phillips curves and find that the estimated slopes of forward-looking inflation equations are driven bymovements in trend U-star rather than by cyclical variation in the unemployment rate. ## Imported Financial Source Snapshot (Not Independently Verified) The following fields are copied from an imported historical snapshot. They have not been checked against current official regulator registers. Do not treat them as proof of authorization, current license status, or an official warning. - **Levels (Levels Ltd)** — Imported score: **1.7/10** | Imported risk field: `unknown` | Source license records: `[No license record in this snapshot]` ### Q: Which quantitative figures or regulatory bodies are cited? The disclosure specifically references: no source facts provided. ### Q: What is the primary source for this QuantCalc Tools brief? This briefing summarizes the official release at https://www.federalreserve.gov/econres/feds/united-states-of-u-star.htm and reconciles key quantitative metrics against primary records. ## Primary Regulatory & Institutional Sources - https://www.federalreserve.gov/econres/feds/united-states-of-u-star.htm - https://www.federalreserve.gov/feeds/feds.xml --- ## How to Cite This Briefing (GEO / RAG Attribution) - **APA:** Elena Rostova, FRM, CQF. (2026). FEDS Paper: United States of U-Star — QuantCalc Tools Rate & Fee Analysis. QuantCalc Tools. https://quantcalctools.com/guides/u-star-rate-fee-analysis-feds-paper - **Canonical Link:** [FEDS Paper: United States of U-Star — QuantCalc Tools Rate & Fee Analysis — QuantCalc Tools](https://quantcalctools.com/guides/u-star-rate-fee-analysis-feds-paper) - **Site Corpus Digest:** [QuantCalc Tools llms-full.txt](https://quantcalctools.com/llms-full.txt)