Second District · New York

Research Briefing

2026-10-01 · research material only, not submission content
Unemployment Rate
4.10
— 0.00 vs prior
Fed Funds Effective Rate
3.63
— 0.00 vs prior
10-Year Treasury Yield
5.26
▲ 0.02 vs prior
Empire State Mfg Survey
7.60
▼ 13.00 vs prior

Dual Mandate Spotlight

Inflation and employment -- this is what the contest is actually judging you on. Everything else in this briefing is supporting context.

Inflation

Actual vs. expected: This reading is running +1.71 pts above the Fed's 2.0% target. For longer-horizon context, markets are pricing in average inflation of 2.36% over 5 years and 2.36% over 10 years (Treasury breakeven rates) -- a different, multi-year question from the same-print nowcast above. Households surveyed by the University of Michigan expect 4.0% inflation over the next year. These breakeven/survey numbers are the legitimate free stand-ins for a same-print consensus forecast -- real Wall Street consensus polls are paid/licensed.
Actual vs. expected: This reading is running +0.76 pts above the Fed's 2.0% target. For longer-horizon context, markets are pricing in average inflation of 2.36% over 5 years and 2.36% over 10 years (Treasury breakeven rates) -- a different, multi-year question from the same-print nowcast above. Households surveyed by the University of Michigan expect 4.0% inflation over the next year. These breakeven/survey numbers are the legitimate free stand-ins for a same-print consensus forecast -- real Wall Street consensus polls are paid/licensed.
Actual vs. expected: This reading is running +1.42 pts above the Fed's 2.0% target. For longer-horizon context, markets are pricing in average inflation of 2.36% over 5 years and 2.36% over 10 years (Treasury breakeven rates) -- a different, multi-year question from the same-print nowcast above. Households surveyed by the University of Michigan expect 4.0% inflation over the next year. These breakeven/survey numbers are the legitimate free stand-ins for a same-print consensus forecast -- real Wall Street consensus polls are paid/licensed.
Actual vs. expected: This reading is running +1.01 pts above the Fed's 2.0% target. For longer-horizon context, markets are pricing in average inflation of 2.36% over 5 years and 2.36% over 10 years (Treasury breakeven rates) -- a different, multi-year question from the same-print nowcast above. Households surveyed by the University of Michigan expect 4.0% inflation over the next year. These breakeven/survey numbers are the legitimate free stand-ins for a same-print consensus forecast -- real Wall Street consensus polls are paid/licensed.

Labor Market

Actual vs. expected: Philly Fed's Survey of Professional Forecasters median nowcast for this quarter was 4.3 (as of the 2026-07 survey). Actual came in at 4.1 (-0.2). This is the real, free economist-consensus equivalent of a jobs-report 'expected vs. actual' -- quarterly, not monthly, since that's the SPF's cadence, but it's genuine professional forecaster data, not a naive baseline.
Actual vs. expected: No free consensus-forecast source exists for this specific series, so as a naive baseline: the prior period was 7.9 (2026-07-01), actual came in at 7.7 (-0.2). That's a baseline, not a real forecast -- for an actual economist consensus on the broader labor market, see the Philly Fed's quarterly Survey of Professional Forecasters (philadelphiafed.org/surveys-and-data/spf-release-dates).
Actual vs. expected: Philly Fed's Survey of Professional Forecasters median nowcast for this quarter was 158903.0 (as of the 2026-07 survey). Actual came in at 159075.0 (+172.0). This is the real, free economist-consensus equivalent of a jobs-report 'expected vs. actual' -- quarterly, not monthly, since that's the SPF's cadence, but it's genuine professional forecaster data, not a naive baseline.
Actual vs. expected: No free consensus-forecast source exists for this specific series, so as a naive baseline: the prior period was 37.65 (2026-07-01), actual came in at 37.75 (+0.1). That's a baseline, not a real forecast -- for an actual economist consensus on the broader labor market, see the Philly Fed's quarterly Survey of Professional Forecasters (philadelphiafed.org/surveys-and-data/spf-release-dates).
Actual vs. expected: No free consensus-forecast source exists for this specific series, so as a naive baseline: the prior period was 61.4 (2026-07-01), actual came in at 61.6 (+0.2). That's a baseline, not a real forecast -- for an actual economist consensus on the broader labor market, see the Philly Fed's quarterly Survey of Professional Forecasters (philadelphiafed.org/surveys-and-data/spf-release-dates).
Actual vs. expected: No free consensus-forecast source exists for this specific series, so as a naive baseline: the prior period was 198000.0 (2026-09-12), actual came in at 197000.0 (-1000.0). That's a baseline, not a real forecast -- for an actual economist consensus on the broader labor market, see the Philly Fed's quarterly Survey of Professional Forecasters (philadelphiafed.org/surveys-and-data/spf-release-dates).
What do these mean?
Headline CPI
The Consumer Price Index measures how much prices changed for a broad basket of goods and services a typical household buys. It includes food and energy, which swing around a lot month to month -- so headline CPI can jump on an oil price spike even if underlying inflation hasn't moved. Still the number most news headlines mean by 'inflation.'
Core CPI
Same as CPI but with food and energy stripped out, since those two categories are volatile for reasons that have little to do with monetary policy (a hurricane hitting oil refineries isn't something the Fed can fix with interest rates). Core CPI is the better read on the *underlying* inflation trend.
Headline PCE
The Personal Consumption Expenditures price index. Similar idea to CPI -- tracks price changes -- but it updates its basket of goods more often and covers a wider set of spending (including costs paid on someone's behalf, like employer-provided health insurance). Economists generally consider it a more accurate cost-of-living measure than CPI.
Core PCE (Fed's preferred gauge)
PCE with food and energy excluded. This specific number is what the FOMC means when it talks about its 2% inflation target -- if you cite only one inflation figure in your presentation, judges will expect it to be this one, or for you to explain why you chose something else.
Unemployment Rate (U-3)
The 'headline' unemployment rate: the share of people actively looking for work who haven't found any. It's the number everyone quotes, but it misses people who gave up looking (they're not counted as unemployed at all) and people stuck in part-time jobs who want full-time work.
Broader Unemployment (U-6)
A wider measure that adds in those two groups U-3 misses: discouraged workers who stopped looking, and people working part-time only because full-time work isn't available. U-6 running much higher than U-3 can be a sign the labor market is weaker than the headline number suggests.
Nonfarm Payrolls
The net number of jobs added or lost across the economy in a month (farm work is excluded because it's seasonal in a way that distorts the count). This is one of the single most-watched releases in all of economics -- big surprises here can move markets within seconds.
Avg Hourly Earnings
How fast wages are growing. Matters because the Fed worries about a 'wage-price spiral' -- workers demand higher pay to keep up with prices, employers raise prices to cover the higher pay, repeat. Fast wage growth alongside high inflation is a hawkish signal; wage growth cooling toward ~3-3.5% is often read as consistent with the 2% inflation target.
Labor Force Participation
The share of working-age people who are either employed or actively job-hunting. This is what separates 'fewer people are unemployed' from 'fewer people are even trying to work' -- a falling unemployment rate looks great until you check whether it's because people left the labor force entirely.
Initial Jobless Claims
New unemployment insurance claims filed each week. Because it's weekly instead of monthly, it's the earliest read you'll get on labor market turning points -- claims tend to tick up before the monthly unemployment rate does. Watch the 4-week average rather than any single week, since weekly data is noisy (holidays, weather, one-off layoffs).

Worth Investigating Right Now

Computed divergences in the current data -- observations, not conclusions. What they mean, and whether they belong in your analysis, is your call.

Core PCE still meaningfully off target
Core PCE is running at +3.0% YoY, 1.0 points above the Fed's 2% objective.

Consider: Worth digging into whether the gap is concentrated in a few sticky categories (shelter, services) or broad-based -- that distinction usually drives how a real FOMC statement gets worded.

Actual inflation and market expectations have drifted apart
Core PCE (+3.0%) is running hotter than the 5-year TIPS breakeven (+2.4%), a gap of 0.65 points.

Consider: A gap this size usually means either the market thinks the current print is noisy/transitory, or forward guidance hasn't caught up to the data yet -- worth having a view on which.

Standing Repo Facility usage just jumped
SRF usage is at $1.2B -- this facility normally sits near zero on a routine day.

Consider: Worth checking whether this lines up with a known pressure point (month-end, tax date, Treasury settlement) or looks like broader funding stress -- the difference matters for whether it's noise or signal.

Reference Thesis

One worked example, built the way past winners built theirs -- not a template to copy, a benchmark to compare against.

This is a snapshot tied to a specific data pull (see the date and sources below) -- it will go stale. Build your own thesis independently, then check where yours uses a more current data point, and where this one addresses something yours doesn't.
Reference thesis, dated 2026-09-21 · built from: September 16, 2026 FOMC decision (unanimous 25bp hike to 3.75%-4.00%) and SEP (16 of 18 participants project end-2026 above the current midpoint; funds-rate median 4.1% for both 2026 and 2027; longer-run median rose to 3.2%); data as of Sept 18-21, 2026: core PCE 3.34% YoY (Jul) / 3.05% three-month annualized; core CPI 2.45% and trimmed-mean PCE 2.28% (Aug) -- the gap between the two core measures is the widest since 1983; Cleveland Fed 10-year expected inflation 2.57%, highest since 2007, while the 5y5y forward breakeven holds at 2.33%; WTI $107 with Strait of Hormuz transits at 5/day versus 80/day a year earlier; August payrolls +162k, 3-month average +71k; real hourly earnings negative for a 5th straight month; real policy rate ~1.23%, inside the Fed's own 1.0-1.7% neutral-rate band.
Raise 25bp to 4.00–4.25% at the October 27–28 meeting -- the core-inflation gauge the Fed actually targets has already crossed our own hold line, and long-horizon expectations are drifting in a regime where the research says energy pass-through into core inflation more than doubles. But pair the hike with a formal, quantified commitment to distributional review lines -- not the usual afterthought -- so the cost of being wrong falls on our own accountability, not just on the households least able to absorb it.
Our Forecast vs. the FOMC's September SEP

Two independently-built forecasts landed within a few tenths of each other and of the FOMC's own median -- the real disagreement below is about the policy response to a shared economic outlook, not about the outlook itself.

VariablePeriodFOMC SEP medianOur forecast
Real GDP growth 2026 2.3% 2.4%
Private domestic final purchases (+4.2% annualized, Q2) and a capex boom (core capital-goods orders +12.6% YoY) are running hotter than the SEP assumes.
Real GDP growth 2027 2.4% 2.0%
Slower as the energy shock and October tightening work through; consistent with the SEP's own path decelerating from '28 onward.
Unemployment rate 2026 4.1% 4.1%
Agree with the SEP -- August's rebound (+162k, participation firm) confirms full employment by every model estimate (KC Fed u* also 4.1%).
Unemployment rate 2027 4.1% 4.3%
A modest cost from the extra tightening step -- the SEP holds flat throughout, we think that's slightly optimistic given the October move.
Core PCE inflation 2026 3.4% 3.5%
Above the SEP -- three-month annualized core PCE is already running at 3.05% with no deceleration in the Cleveland Fed nowcast.
Core PCE inflation 2027 2.5% 2.6%
Converges close to the SEP as the October step and energy-shock fade both work through by year-end 2027.
Fed funds rate (year-end) 2026 4.10% 4.00–4.25%
We agree with the Committee's own median that one more step is appropriate this year -- and think it should come at the next meeting, not be deferred.
Fed funds rate (year-end) 2027 4.10% 4.00–4.25%
Hold after the October step, consistent with the SEP's own median path for 2027.
Evidence That Would Change This Decision

Dated thresholds, not a moving target -- if a line is crossed before the next meeting, revisit.

IndicatorReview lineLatestRead
Core PCE, 3-month annualized hold line 3.0% 3.05% Above -- still triggers action
Cleveland Fed 10y expected inflation hold line 2.5% 2.57% Above -- anchor still drifting
PPI final demand, 3-month annualized further-hike review 4% 1.4% Within line
Initial claims, 4-week average easing review 240k 203k Within line
High-yield OAS easing review 3.20pp 2.68pp Within line
Nonfarm payrolls, 3-month average easing review below zero +71k Within line
Presenter 1 — Roadmap & financial conditions

Map: our forecast against the Fed's own, then the case for acting in October, then a real disagreement about what that case is missing, then how we resolve it, then the vote. On financial conditions: the ten-year real (TIPS) yield is 2.68%, the highest since 2008, yet the Chicago Fed's own financial conditions index sits at -0.56 and high-yield spreads are historically tight at 2.68 points -- bonds have tightened, risk assets haven't. That gap matters for October: policy transmission through risk appetite hasn't happened yet, which is itself part of the case for finishing the move now rather than assuming past tightening will keep doing the work.

Presenter 2 — The case for acting: the target gauge already crossed the line

Core PCE -- the measure the Fed's 2% objective is actually defined on -- is running at 3.05% three-month annualized, above the 3.0% threshold a disciplined team should set as its own hold line, with no deceleration in the Cleveland Fed's nowcast ahead of the Sept 30 release. Long-horizon expectations are drifting: Cleveland Fed's 10-year expected inflation is 2.57%, the highest since 2007. Per BIS research, the core-inflation effect of an energy shock more than doubles when expectations sit above target, and the real policy rate is one of three variables that condition that pass-through -- a neutral real rate (1.23%, squarely inside the Fed's own 1.0-1.7% neutral band) during an active supply shock is the exposed position, not the cautious one. And waiting for confirmation doesn't actually buy safety: Dallas Fed high-frequency evidence shows spending responds to a policy shock within weeks, while consumer prices don't trough for eleven months -- meaning October data will show us the demand response to holding, not the price response, well before we'd have real confirmation either way. With the labor market at full employment by every yardstick (unemployment 4.1% matches the Kansas City Fed's own u* estimate exactly) and low turnover removing the wage-spiral channel, a 25bp step costs little in employment terms. This isn't a call to keep hiking indefinitely -- it's a call to finish one step now, while it's cheap.

Presenter 3 — The internal dissent: cheap in aggregate isn't cheap for everyone

Presenter 2's own numbers cut the other way for a specific group, and I don't think we get to call a hike 'cheap' without accounting for that. Real hourly earnings have been negative for five straight months. The lowest wage quartile is growing at 3.7%, no longer meaningfully ahead of 3.4% inflation -- the buffer that used to protect the bottom of the distribution is gone. The bottom 50% of households hold just 2.3% of net worth, and the Fed's own SHED survey finds 40% of adults under $50,000 couldn't cover a $100 emergency from savings. For them, price stability isn't an abstraction, but neither is a labor market that gets even marginally tighter to enter. Teen unemployment is 14.1%; Black unemployment is 6.0% -- both far above the 4.1% headline Presenter 2 is calling 'full employment.' This is a low-hire, low-fire equilibrium: hiring is running below its 2015-19 average, which means when a policy mistake does show up, it shows up first among teenagers, new graduates, and Black workers -- the people a low-hire market reaches last and fails first. And the housing channel is already doing real work without our help: 30-year mortgage rates at 6.81% have largely locked out first-time buyers already. Tightening further doesn't just risk being unnecessary -- it risks being distributionally regressive for a gain that's still uncertain, since the 5-year-5-year forward breakeven -- the market's own longer-run inflation read -- is still anchored at 2.33%, 'still ordinary' by historical standards.

Presenter 4 — Second District

This is the one section where I'd point the team at this dashboard's own Second District panel rather than a fixed number -- Empire State's survey updates monthly, and whatever it shows as of your actual presentation date is more current than anything written here. Structurally: regional manufacturing data is the kind of evidence that either independently corroborates the national story or complicates it -- check it before assuming it settles the disagreement between Presenter 2 and Presenter 3 either way.

Presenter 5 — Resolving the vote, and closing

Presenter 2 and Presenter 3 are both arguing from the same dataset and neither is wrong -- this is a genuine weighting question, not a data question, and it deserves an honest resolution rather than picking a side and ignoring the other's evidence. We side with Presenter 2 on the immediate decision: the Fed's own target gauge has already crossed a disciplined hold line, and the Dallas Fed timing evidence means waiting doesn't actually de-risk the call the way it feels like it should. But Presenter 3's evidence changes what we commit to alongside the hike, not just how we feel about it. We're proposing the Committee adopt explicit, quantified distributional review lines -- teen, Black, and new-graduate unemployment; real wage growth in the lowest quartile -- with the same seriousness as the inflation and growth lines already in the SEP, and a standing commitment to pause further tightening if they cross defined thresholds. That's the actual synthesis: act on the anchoring risk now, while making sure the cost of being wrong is something we're accountable for tracking, not something that just quietly shows up first in the groups least able to speak up about it.

“We're voting to raise 25 basis points in October, not because the distributional risk isn't real, but because the alternative -- waiting for price confirmation that structurally can't arrive in time -- isn't actually caution. It's a bet, dressed up as one. We'd rather take the bet we can defend, and commit to watching, by name, the people who pay for it if we're wrong.”
Sources cited:
  • Federal Reserve, September 16, 2026 FOMC statement, vote, and Summary of Economic Projections (federalreserve.gov/monetarypolicy/fomcprojtabl20260916.htm)
  • Federal Reserve Chair Kevin Warsh, press conference remarks, Sept 16, 2026
  • Banerjee et al., "Energy Shocks and Inflation: Challenges for Monetary Policy," BIS Bulletin 131, 5 Aug. 2026
  • Buda et al., "The Short Lags of Monetary Policy," Dallas Fed Working Paper 2631, 18 Sept. 2026
  • Kharroubi, "Maritime Chokepoints and the Global Economy: Evidence from the Strait of Hormuz," BIS Working Paper 1378, 17 Sept. 2026
  • Federal Reserve Board, Report on the Economic Well-Being of U.S. Households (SHED) 2025, May 2026
  • Bradt and Taylor, "The Incidence of Fuel-Price Shocks and Tax Holidays," Dallas Fed Working Paper 2624, 6 Aug. 2026
  • Cairo et al., "Beyond the Unemployment Rate: A Structural Labor Market Indicator," FEDS 2026-058, 20 Aug. 2026
  • Federal Reserve Bank of Cleveland, Inflation Nowcasting, as of Sept 1, 2026
  • Federal Reserve Bank of Kansas City, model-based natural rate of interest and u*, July 2026

National Indicators

FRED, most recent observation per series.

IndicatorLatestValueChange
CPI (All Urban Consumers) 2026-08-01 334.13 ▲ 1.32
Core PCE Price Index 2026-08-01 130.46 ▲ 0.32
Unemployment Rate 2026-08-01 4.10 — 0.00
Nonfarm Payrolls 2026-08-01 159,075.00 ▲ 162.00
Real GDP 2026-04-01 24,408.01 ▲ 133.63
Fed Funds Effective Rate 2026-08-01 3.63 — 0.00
2-Year Treasury Yield 2026-09-29 4.89 ▼ 0.03
10-Year Treasury Yield 2026-09-29 5.26 ▲ 0.02
20-Year Treasury Yield 2026-09-29 5.64 ▲ 0.04
30-Year Treasury Yield 2026-09-29 5.59 ▲ 0.03
Initial Jobless Claims 2026-09-19 197,000.00 ▼ 1,000.00
University of Michigan Consumer Sentiment 2026-08-01 51.70 ▼ 3.50
Empire State Mfg Survey (General Business Conditions) 2026-09-01 7.60 ▼ 13.00
What do these mean?
CPI (All Urban Consumers)
Same series as Headline CPI above.
Core PCE Price Index
Same series as Core PCE above.
Unemployment Rate
Same series as Unemployment Rate (U-3) above.
Nonfarm Payrolls
The net number of jobs added or lost across the economy in a month (farm work is excluded because it's seasonal in a way that distorts the count). This is one of the single most-watched releases in all of economics -- big surprises here can move markets within seconds.
Real GDP
Total value of everything the economy produced, adjusted for inflation so you're comparing actual output, not just rising prices. It's the broadest growth measure that exists, but it's not what the Fed's dual mandate directly targets -- use it as context for 'is the economy overheating or slowing,' not as a headline number in your policy case.
Fed Funds Effective Rate
The actual interest rate the Fed controls -- this is the lever your team's recommendation is about. Every other indicator in this briefing is evidence for or against moving this rate up, down, or holding it.
2-Year Treasury Yield
Same idea as the 10-year, but shorter horizon, so it moves more closely with near-term Fed rate expectations. The gap between the 2-year and 10-year yield (the '2s10s spread') going negative has preceded most U.S. recessions since the 1970s -- worth knowing even if you don't build your whole case on it.
10-Year Treasury Yield
The interest rate on 10-year U.S. government debt, set by markets, not the Fed directly. It reflects what investors expect for growth, inflation, and Fed policy over the next decade, and it anchors longer-term borrowing costs like mortgage rates. A useful check on whether markets agree with your read on where policy is headed.
20-Year Treasury Yield
Long-end government borrowing cost, between the 10-year and 30-year in maturity. Less commonly cited than its neighbors (the 20-year Treasury bond itself was only reintroduced in 2020 after a long hiatus, so it has less trading history), but it fills in the curve and moves on the same long-run growth/inflation/fiscal expectations as the 30-year.
30-Year Treasury Yield
The longest-dated Treasury yield, most sensitive to long-run inflation expectations and the government's own borrowing/deficit outlook rather than near-term Fed policy. Worth watching alongside Fed decisions: a hold or cut that still sends the 30-year yield higher can mean markets read the decision as risking future inflation, not as reassurance -- exactly this happened after the July 2026 FOMC meeting, when the 30-year yield jumped to its highest level since 2007 even though the Fed held rates steady.
Initial Jobless Claims
New unemployment insurance claims filed each week. Because it's weekly instead of monthly, it's the earliest read you'll get on labor market turning points -- claims tend to tick up before the monthly unemployment rate does. Watch the 4-week average rather than any single week, since weekly data is noisy (holidays, weather, one-off layoffs).
University of Michigan Consumer Sentiment
A survey asking regular people how they feel about their finances and the economy. It's forward-looking (feelings can predict future spending) but noisy and sometimes disconnected from what people actually do with their money -- treat it as a soft, secondary signal, not hard evidence.

Money Markets & Repo

The plumbing behind QT/QE, reserve management purchases, and Standing Repo Facility decisions -- SRF usage should sit near zero on a normal day; a jump here is real, current funding stress.

IndicatorLatestValueChange
Effective Fed Funds Rate (daily) 2026-09-29 3.88 — 0.00
Interest on Reserve Balances (IORB) 2026-10-01 3.90 — 0.00
SOFR 2026-09-29 3.88 ▼ 0.02
SRF Usage 2026-09-30 $1.2B $1.2B
ON Reverse Repo Usage 2026-09-30 $11.5B $0.1B
EFFR − IORB: -0.020 pts
SOFR − IORB: -0.020 pts
What do these mean?
Effective Fed Funds Rate (daily)
The actual overnight rate banks lend to each other at, measured daily (the 'Fed Funds Effective Rate' elsewhere in this dashboard is a monthly average of this same thing). The Fed doesn't set this directly -- it targets a range and uses IORB and the reverse repo rate to keep this rate inside that range.
Interest on Reserve Balances (IORB)
The rate the Fed pays banks on the reserves they park at the Fed. In today's 'ample reserves' framework, this is effectively the anchor that keeps the fed funds rate near target -- if EFFR drifts meaningfully above IORB, that's often an early sign reserves aren't as 'ample' as the Fed assumed.
SOFR
The broader secured (collateralized) overnight borrowing rate across the whole repo market, not just banks lending to each other. It's the rate that spiked hard in September 2019 and triggered the Fed's last major repo-market intervention -- if SOFR jumps meaningfully above IORB, that's the same kind of stress signal.
SRF Usage
The actual dollar amount borrowed through the Fed's Standing Repo Facility -- the tool that lets banks borrow cash overnight from the Fed when private repo markets get tight. This is designed to sit near zero on a normal day; a jump here means real, current funding stress, not a hypothetical.
ON Reverse Repo Usage
The opposite tool: money market funds and others parking excess cash at the Fed overnight instead of lending it out in private markets. This peaked above $2.4 trillion in 2022 and has drained to near zero since -- that drop matters because it means the large cash buffer that used to quietly absorb funding-market shocks has largely disappeared, which is part of why repo-rate spikes became a live concern again.

Second District Regional Data

Empire State Manufacturing Survey (seasonally adjusted diffusion indexes) -- your differentiator against teams running purely national analysis.

IndicatorLatestValueChange
General Business Conditions 2026-09-30 7.6 ▼ 13.00
New Orders 2026-09-30 2.0 ▼ 15.30
Shipments 2026-09-30 -3.2 ▼ 14.90
Prices Paid 2026-09-30 63.1 ▲ 4.50
Prices Received 2026-09-30 28.1 ▲ 5.40
Number of Employees 2026-09-30 10.6 ▲ 1.30
6-months-ahead outlook (General Business Conditions): manufacturers expect a reading of 29.0 as of 2026-09-30 -- this is sentiment about the future, not a measured current condition.
What do these mean?
General Business Conditions
The Empire State Survey's headline index -- unlike some composite indexes, this is asked as its own direct question ('is business better or worse this month'), not calculated from the other sub-indexes. Positive means more manufacturers report improving conditions than worsening; it's a diffusion index, so the number itself isn't a percent change, just a balance of opinion.
New Orders
Whether New York manufacturers are seeing more or fewer new orders come in. A forward-looking demand signal for the regional manufacturing sector specifically -- helpful for your Second District angle, but manufacturing is only one slice of the state's economy, so don't generalize it to 'the whole NY economy' without saying so.
Shipments
Whether manufacturers report shipping more or less product out the door this month -- a read on actual output, distinct from New Orders (which measures incoming demand, not what's already been produced and shipped).
Prices Paid
Whether manufacturers are paying more or less for their own inputs (materials, parts, energy). A leading indicator worth watching: rising input costs often show up in consumer prices a few months later if manufacturers pass them on.
Prices Received
Whether manufacturers are able to charge more or less for what they sell. Compare this to Prices Paid -- if input costs are rising faster than what manufacturers can charge, that's margin pressure, which can be a sign firms will either raise prices further or cut costs elsewhere.
Number of Employees
Same series as 'Employment' above -- how many surveyed manufacturers report hiring versus cutting staff. Manufacturing-only, New York-only, and survey-based rather than a hard count, but it's real-time regional color the national payrolls number can't give you.

Market Snapshot

yfinance, ~15-minute delayed.

IndicatorSymbolLastPrior% Chg
S&P 500 ^GSPC 7,651.54 7,670.84 ▼ 0.25%
10Y Treasury Yield (index) ^TNX 5.29 5.25 ▲ 0.72%
30Y Treasury Yield (index) ^TYX 5.64 5.59 ▲ 0.79%
US Dollar Index DX-Y.NYB 101.50 101.37 ▲ 0.13%
Crude Oil (WTI) CL=F 89.98 89.38 ▲ 0.67%
Gold GC=F 4,186.40 4,179.70 ▲ 0.16%
What do these mean?
S&P 500
A stock index tracking 500 large U.S. companies. Not something the Fed targets, but a useful gauge of how markets are reacting to Fed communication and data surprises -- if you cite a Fed decision's market impact, this is usually the number people mean.
10Y Treasury Yield (index)
Market quote for the 10-year yield -- see 10-Year Treasury Yield above.
30Y Treasury Yield (index)
Market quote for the 30-year yield -- see 30-Year Treasury Yield above.
US Dollar Index
Measures the dollar's strength against a basket of other major currencies. A stronger dollar tends to make imports cheaper (mild disinflationary pressure) but hurts U.S. exporters. Usually a secondary point unless your analysis specifically involves trade or global spillovers -- don't force it into your core argument if it doesn't fit.
Crude Oil (WTI)
The benchmark U.S. oil price. Feeds directly into headline CPI/PCE (energy is a big chunk of the 'headline' basket) but is excluded from core measures. Useful mainly for explaining *why* headline and core inflation might be telling different stories in a given month.
Gold
Often called a 'safe haven' or inflation hedge, but its price is driven by a lot of things besides U.S. monetary policy (global demand, other central banks, geopolitical risk). Interesting as a sentiment/uncertainty gauge; weak as direct evidence for a rate call -- be cautious about leaning on it in front of judges.

FOMC Communication Sentiment

No FOMC statement supplied -- rerun with --fomc-statement to include this section.

Past National Winners -- Case Studies

Public record from federalreserve.gov, paraphrased in our own words -- for studying approach, not for copying into your script.

Knowledge of the Fed, current economy & monetary policy
Accurate information plus a thorough grasp of both basic and sophisticated concepts, every time.
Response to judges' questions
On-point answers under pressure, quick thinking, and persuasive defense when a position gets challenged.
Presentation
Persuasive advocacy, logical and coherent organization, confident delivery from every speaker, no reading from notes.
Research and analysis
Conclusions that are logical and insightful, recommendations backed by relevant data, a wide variety of authoritative sources.
Teamwork and cooperation
Every team member plays a substantial, integral role -- not one or two people carrying the rest.
This is the Fed's actual judging rubric -- full PDF here.
2025
Pace University transcript
New York District · runner-up Harvard College · third UCLA
2024
Princeton University transcript
Philadelphia District · runner-up Harvard College · third University of Virginia
2023
Harvard College
Boston District · runner-up Princeton University · third UCLA
2022
Princeton University
Philadelphia District · runner-up University of North Carolina Wilmington · third Dartmouth College
2021
Pace University
New York District · runner-up University of Pennsylvania · third Dartmouth College
2019
Pace University transcript
New York District · runner-up Harvard College

2025 · Pace University

Framed the entire presentation around one tension: 'an unbalanced dual mandate' where downside labor-market risk outweighed upside inflation risk from new tariffs. Walked output, labor, inflation, and financial conditions, then chose between two explicitly named policy options -- hold, or cut 25 basis points -- landing on the cut.

  • When a judge asked what data would change their balance-sheet recommendation, they didn't just defend the slide -- they said the recommendation had already evolved since they submitted the video, based on money-market data that came out afterward, and explained exactly which new numbers changed their mind.
  • Separated 'labor supply falling' from 'labor demand falling' using several different indicators (quits rate, hiring rate, vacancy ratio) to argue the headline unemployment number was actually understating how much the labor market had weakened -- a subtler read than just quoting the unemployment rate.
  • Broke inflation out by demographic group when discussing who tariffs were hurting most, directly answering the rubric's explicit prompt to cover 'different demographic and socioeconomic groups.'
Why this likely scored well (mapped to the rubric above -- informed analysis, not confirmed judging info):
Response to judges' questions

Explicitly updating their own recommendation live, with the specific new data that changed it, is about as strong a demonstration of 'data-dependent' thinking as is possible in a Q&A -- it shows the analysis was real, not just memorized and defended no matter what.

Knowledge of the Fed, current economy & monetary policy

Fluently distinguished short-run vs. long-run r-star on a cold follow-up question with no slide to lean on -- exactly the 'thorough understanding of sophisticated concepts' the top rubric tier calls for, tested live rather than just rehearsed.

Presentation

Constant explicit signposting ('conclusively... contributing to the downside risks... rounding out the picture...') kept a dense 15 minutes of data organized and easy for judges to follow along in real time.

2024 · Princeton University

Framed the whole 15 minutes as a single live FOMC-style debate about how fast to keep cutting rates after starting an easing cycle. Walked through growth, then labor, then inflation, then financial conditions, in that order, before landing on a specific vote.

  • Every macro claim was paired with a named source -- a Fed nowcast, a named Fed official's public remarks, or a named economist -- rather than just a bare statistic.
  • Team members openly disagreed with each other on mic (one arguing quantitative tightening still mattered, another arguing it didn't; one citing the Sahm rule as a warning sign, another explaining why it might be a false signal this cycle) instead of presenting a single unified voice with no internal tension.
  • Closed with an actual policy vote -- each of the five members stated aye and gave one sentence of independent reasoning, mirroring how a real FOMC statement reports individual dissents.
Why this likely scored well (mapped to the rubric above -- informed analysis, not confirmed judging info):
Research and analysis

Their evidence wasn't just data points -- it was data points attributed to specific, real, current voices (a named Fed president's public comments, a named academic's recent research). That's precisely what the rubric's top tier asks for: 'a wide variety of authoritative sources,' not just charts.

Teamwork and cooperation

Structuring genuine on-mic disagreement between teammates is a hard way to present, but it's the clearest possible evidence against the rubric's warning sign of 'one or two team members dominate.' Every presenter both made a claim and pushed back on a teammate's claim at least once.

Presentation

The explicit agenda at the very start (what topics, in what order, ending in a vote) gave judges a map before the content even began -- exactly the 'logical and coherent organization' the top rubric tier calls for.

Response to judges' questions

Not directly observable from the presentation alone, but the format itself -- team members trained to argue live against their own teammates' positions -- is a natural way to build the quick, poised rebuttal skill the Q&A round specifically scores.

2019 · Pace University

Recommended holding the fed funds rate at 1.5-1.75% amid slowing global growth and below-target inflation, but didn't stop at a simple hold -- proposed two specific new policy tools: a form of temporary price-level targeting with a one-year lookback, and a standing repo facility to fix reserve-distribution problems that had caused a rate spike months earlier.

  • Went beyond a yes/no rate call to design two concrete, named policy instruments -- a direct answer to the rubric's call for 'newer approaches as warranted,' not just traditional tools.
  • When the same judge pushed the same underlying question twice from different angles (first on the Phillips curve, then specifically 'has the wedge between wages and prices become structural?'), three different team members built on each other's answers across the exchange instead of one person re-explaining alone -- visible shared command of the material.
  • Proactively named the weakness in their own recommendation (price-level targeting risks an inflation overshoot) instead of waiting for a judge to catch it, then explained the specific design choice (one-year lookback) made to limit that exact risk.
Why this likely scored well (mapped to the rubric above -- informed analysis, not confirmed judging info):
Research and analysis

Proposing two specific, named policy instruments rather than a plain hold/cut/hike decision shows original synthesis of the research, not just reporting it -- a step beyond what most teams likely offered.

Response to judges' questions

Surfacing your own recommendation's weakness before being asked, then explaining the specific design choice made to address it, is a strong signal of genuine understanding rather than a rehearsed pitch -- much harder to fake under follow-up.

Teamwork and cooperation

Multiple team members visibly building on one answer across a multi-turn follow-up, rather than one person carrying the exchange, is exactly the 'substantial and integral role' for every member the rubric rewards.

2019 head-to-head: Pace University (won) vs. Harvard College (runner-up)

Same day, same judges (Antulio Bomfim, Thomas Lubik, Tom Klitgaard), same economic conditions -- both teams were even asked a near-identical opening question about how Fed policy has affected income and wealth distribution.
Depth of the policy recommendation

Both teams recommended holding rates. Pace went further and proposed two specific, named new tools (a price-level-targeting variant, a standing repo facility) to address weaknesses they identified in the current framework. Harvard's structural proposal (organic balance-sheet growth via 1-2 year Treasuries) addressed one issue rather than two -- a narrower scope of original policy design in the same time slot.

Answering the shared inequality question

Harvard's answer was theoretically solid -- wage growth reaching lower-income workers late in the cycle, a wealth effect concentrated among asset holders. Pace made a similar theoretical case but added a specific, named real-world anchor (a sitting Fed Bank president's own account of a 'Fed Listens' community event) -- grounding the same argument in a concrete, current example rather than theory alone.

Handling repeated follow-up pressure

Both teams were pushed hard on the wage-inflation (Phillips curve) relationship. Pace's exchange involved three different team members adding distinct pieces to the answer across the follow-up chain; Harvard's corresponding exchange was comparatively more concentrated in fewer voices. Neither answer was wrong -- but Pace's version demonstrated shared command of the topic across more of the team.

The gap wasn't really about who knew more economics -- both transcripts show strong, well-cited analysis. It shows up in smaller things: going one layer deeper on policy design, grounding an answer in a specific real-world example instead of pure theory, and spreading follow-up answers across more of the team.

What the winners actually have in common

Six patterns that show up across every case study above, not just once -- each one traceable back to a specific transcript, not generic advice.

1
Attribute claims to named, current, real people -- not just data
Research and analysis

Every single case study did this. 2024 Princeton tied claims to a named Fed president's public remarks and named academic papers. 2025 Pace cited specific FOMC governors' recent speeches by name. 2019 Pace and Harvard both built arguments around named authors' research. A statistic on a slide is forgettable; 'as President Logan noted last month' is what the rubric means by 'authoritative sources' and what makes an answer defensible under follow-up.

2
Engage with the actual policy toolkit, not just a rate call
Research and analysis

2019 Pace didn't just recommend holding rates -- they designed two named new tools (a price-level-targeting variant, a standing repo facility). 2025 Pace revised a specific balance-sheet/QT recommendation, not just the headline rate. A plain hold/cut/hike is table stakes; engaging with the how -- QT pace, new facilities, forward guidance design -- is what separated winners from a merely correct rate call.

3
Let genuine disagreement and multiple voices carry the analysis
Teamwork and cooperation

2024 Princeton's team argued with each other on mic. 2019 Pace had three different members build on one answer across a multi-turn follow-up, versus a narrower set of voices in Harvard's equivalent exchange that same day. The common thread: winning teams distribute both the content and the friction across the whole team, instead of one strong presenter carrying everyone else.

4
Update your own position live when the data or the question calls for it
Response to judges' questions

2025 Pace openly changed a recommendation mid-Q&A when asked what data would change their mind, and explained exactly why. 2019 Pace named their own recommendation's weakness before a judge could catch it. Defending an original slide no matter what reads as rehearsed; visibly updating your view under new information reads as genuine understanding -- which is what this rubric category is actually trying to measure.

5
Ground theory in one specific, current, real-world example
Knowledge of the Fed, current economy & monetary policy

The clearest single difference in the 2019 head-to-head: both teams gave theoretically sound answers on inequality, but Pace anchored theirs in a specific, named Fed president's own account of a real community event. Same argument, but one version was textbook and one was concrete -- concrete reads as deeper understanding even when the underlying theory is identical.

6
Signpost the structure out loud, constantly
Presentation

2024 Princeton opened with an explicit agenda before any data appeared. 2025 Pace narrated its own structure throughout ('conclusively... rounding out the picture...'). Judges are tracking five different presentations in a row -- narrating your own organization, not just having good organization, is what keeps a dense 15 minutes legible to someone hearing it once.