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GDP growth in 2032? — 2.1% to 2.5%

KXGDPYEAR-32-B2.3 · Economics · 2026-08-22
18%
Agent
20%
Market Price
-2.0%
Edge
52%
Confidence
Volume: 12,485
Spread: 9.0c
Days to resolution: 2381
Markets in event: 14
Final Rationale
The Kalshi anchor (20%) and the 2000–2024 empirical hit rate for this exact 0.4pp band (20%) agree, which argues against a large deviation from market pricing. Offsetting that, institutional baselines (CBO ~1.8% for 2031–2036, Fed longer-run median 2.0%) center the distribution just below the band, and parametric models give only 7–11% in-band, so some downward shading is justified; the critique's point that 'No' captures both recession and boom tails reinforces this. The critique's counterpoints — that the +9pp move may reflect real information, that six years of forecast revisions make CBO/Fed a weak anchor, and that resolution-vintage ambiguity widens uncertainty — mostly argue for staying near the market rather than moving far from it, and largely cancel against the structural-slowdown case. I therefore finalize at 18% YES, a modest shade below the 20% market price, which is where both forecasters landed and where the balanced evidence supports.
Price vs. prediction
How the market moved after the agent's call. Solid blue line is the actual market price; dashed line is the agent's static forecast at $t{=}0$.
$n = 12$ follow-ups
Re-scan Context
This market has been scanned before. Previous predictions:
DatePredictedMarket PriceConfidence
2026-07-31 12% 11% 38%
1. Planner Opus · Fermi decomposition + tool plan
Tools chosen: kalshi_direct kalshi_related fred code_execution claude_news polymarket_related
Sub-questions (Fermi decomposition)
  1. What is the current Kalshi YES price for KXGDPYEAR-32-B2.3, and what is the full implied probability distribution across all buckets in the KXGDPYEAR-32 event?
  2. What fraction of US calendar years historically had real GDP growth between 2.1% and 2.5% (annual average, BEA), over 1950–2024 and over 1990–2024?
  3. What do long-run official projections (CBO 10-year outlook, Fed SEP longer-run real GDP, IMF WEO out to 2030) imply for US real GDP growth around 2032, and what is the forecast dispersion?
  4. How does Kalshi define/resolve 'GDP growth in 2032' — annual average over prior year vs Q4/Q4, which vintage of BEA data, and does that shift the bucket odds?
  5. How do earlier-year markets in the same series (KXGDPYEAR-26 through -31) price the 2.1–2.5% bucket, providing a cross-check on the market's typical bucket probability?
  6. What is the standard deviation of annual US real GDP growth and, given a central estimate near 1.8–2.1%, what probability mass falls in the 2.1–2.5% bin under a normal/empirical distribution?
Planner reasoning
This is a very long-horizon macro question (2032 annual US real GDP growth landing in a 0.5pp-wide bucket, 2.1–2.5%), so the market price is thin and the dominant evidence is the historical distribution of annual real GDP growth plus long-run consensus projections (CBO, Fed SEP longer-run, IMF). Key work: get the Kalshi price ladder across all buckets in KXGDPYEAR-32 to see the implied distribution, pull historical annual GDPC1 growth to build an empirical base rate for the 2.1–2.5% bin, and check the resolution definition (annual average vs Q4/Q4, and vintage/revisions).
2. Research Parallel tool calls
ToolStatusTimeItemsSummary
kalshi_direct OK 0.1s 1 ## This Market's Kalshi Data **2.1% to 2.5%** (KXGDPYEAR-32-B2.3) - Current price (probability): 20.00% - 7-day price change: +9.00% - 30-day price change: +9.00% - Average daily volume: 1249 contracts - Price range: 10.00% - 22.00% - Data points: 10 days
kalshi_related OK 3.2s 2 2 related markets / summaries. series KXGDPYEAR: 0 markets (skipped 100 no-signal) | series KXGDP: 0 markets (skipped 36 no-signal) | keyword 'GDP growth year': ok | keyword 'annual GDP growth': ok
fred OK 7.1s 6 Fetched 6 FRED series (lookback=5475d) (via search 'real gross domestic product annual percent change').
code_execution OK 39.2s 0 **Historical GDP growth analysis (A191RL1A225NBEA, hardcoded from BEA/FRED knowledge, 1948–2024)** - **Full sample (1948–2024, n=77):** Mean = 3.13%, Stdev = 2.33%. Empirical frequency of landing in [2.1%, 2.5%] = **8/77 = 10.4%**. The most populated 0.5pp bucket is [2.5,3.0) at 19.5%; the target b
claude_news OK 26.0s 12 ## Findings **CBO 10-year/long-term outlook (most recent: Jan 2026, "Budget and Economic Outlook: 2026 to 2036")** - Real potential GDP grows by an average of 2.1 percent per year from 2026 to 2030 and by an average of 1.8 percent per year from 2031 to 2036 in CBO's projections (https://www.cbo.g
polymarket_related OK 0.1s 0 Scanned 100 active Polymarket markets, kept 0 matches. keyword 'US GDP growth': 0 markets | keyword 'recession': 0 markets | keyword 'GDP 2026': 0 markets
3. Evidence Brief Sonnet · 5646 chars
# Event Kalshi market KXGDPYEAR-32-B2.3: resolves YES if US real GDP growth in calendar year 2032 falls between 2.1% and 2.5%. # Outcomes to forecast - Yes (2032 real GDP growth in [2.1%, 2.5%]) - No (growth outside that band) # Kalshi market anchor Current YES price: **20.00%** (up from 11% a month ago; 7-day and 30-day change both +9pp). Price range over last 10 days: 10–22%. Average daily volume ~1,249 contracts — active, liquid market with a clear recent upward drift toward this bucket. [kalshi_direct] # Sub-question answers 1. **Kalshi YES price / bucket distribution** — B2.3 (2.1–2.5%) = 20%. Full ladder not returned directly, but adjacent-year series show low-single-digit to mid-teens pricing for neighboring buckets (e.g., 2035 [1.6–2.0%] = 14%, 2036 [2.6–3.0%] = 5%), consistent with a wide, still-uncertain distribution this far out. [kalshi_direct, kalshi_related] 2. **Historical frequency 1950–2024/1990–2024** — Full sample (1948–2024, n=77): mean 3.13%, stdev 2.33%, only 8/77 (10.4%) years fell in [2.1,2.5]. 1990–2024 (n=35): mean 2.47%, stdev 1.74%, 5/35 (14.3%) in-band. 2000–2024 (n=25): mean 2.16%, 5/25 (20.0%) in-band — closest to current era. [code_execution] 3. **Official long-run projections** — CBO (Jan 2026): potential GDP growth 2.1%/yr 2026–2030, slowing to 1.8%/yr 2031–2036, implying **2032 ≈ 1.8%**, below the band's low end. Fed SEP (Mar 2026) longer-run median raised to **2.0%** (range 1.7–2.5%), also mostly below/at the low edge of the band. IMF specific 2032 US figure not found; medium-term convergence ~2% consistent with CBO/Fed. [claude_news] 4. **Resolution definition (annual avg vs Q4/Q4, BEA vintage)** — Not specified in rules text; no explicit Kalshi documentation found. Series match FRED's annual % change (A191RL1A225NBEA), the standard headline "real GDP growth" metric — most likely resolution source, but vintage (advance/final) ambiguity unresolved. [inference, no direct source] 5. **Earlier-year series cross-check** — No KXGDPYEAR-26 to -31 data was retrieved (kalshi_related search returned only 2035/2036 buckets, not adjacent-band pricing for closer years). Gap. 6. **Stdev / normal-model probability** — Historical annual stdev ≈1.7–2.3% depending on window. Normal-distribution model with mean 1.8–2.2%, stdev 1.5–2.2% gives P(2.1–2.5%) ≈ 7–11%, notably below empirical modern-era base rate (14–20%) because real-world growth clusters more tightly near trend than Gaussian tails suggest. [code_execution] # Key facts (high-confidence, factual) 1. [kalshi_direct] YES price 20%, up 9pp in both 7-day and 30-day windows — one of the largest short-term moves in this series. 2. [claude_news] CBO's official baseline projects 2032 real GDP growth near 1.8%, below the 2.1–2.5% band. 3. [claude_news] Fed's SEP longer-run median real GDP growth = 2.0% (Mar 2026), central tendency 1.8–2.0%, range 1.7–2.5%. 4. [code_execution] 2000–2024 empirical hit-rate for this exact band is 20%, matching current market price almost exactly. 5. [claude_news] Penn Wharton estimates AI could add up to 0.2pp to 2032 growth specifically, a potential upside catalyst nudging outcomes into/above the band. # Cross-market signals - Kalshi related: 2036 [2.6–3.0%] bucket priced at 5%; 2035 [1.6–2.0%] bucket at 14% — both suggest market assigns meaningfully more probability to sub-2.5% growth outcomes in the 2030s, consistent with CBO/Fed trend-slowdown narrative. - Polymarket: No matching GDP markets found. - Sportsbook implied: N/A (not applicable to economic data market). # Analyst opinions and speculation - CBO/Fed baselines point to trend growth converging near 1.8–2.0%, just below or at the low edge of this band — suggesting the "No" side (growth <2.1%) has strong institutional backing. - AI-productivity bulls (Penn Wharton) flag 2032 as a peak year for AI's productivity contribution (+0.2pp), a plausible mechanism pushing realized growth into the 2.1–2.5% band. - Empirical modern-era (2000–2024) base rates (14–20%) run well above parametric normal-model estimates (7–11%), reflecting tighter real-world clustering near trend. # Directional lean per outcome - **Yes (2.1–2.5%)**: Supported by 2000–2024 empirical base rate (20%, matches market price), Fed's upward-revised longer-run estimate (2.0%, near band's low edge), and AI-productivity upside scenarios. Recent sharp market repricing (+9pp) suggests some fresh bullish information/sentiment shift. - **No**: Supported by CBO's explicit 2031–2036 baseline (1.8%) sitting below the band, historical full-sample base rate only ~10%, and normal-distribution models (7–11%) implying market may be overpriced relative to structural forecasts. # Gaps / unknowns - No confirmation of exact Kalshi resolution data source/vintage (advance vs. final BEA estimate, annual-average vs Q4/Q4). - No pricing data retrieved for adjacent bins within the KXGDPYEAR-32 event itself (only the target bucket) — full distribution/de-vig unavailable. - No pricing for nearer-term comparable-year buckets (KXGDPYEAR-26 to -31) to validate typical market calibration for this bucket width. - Driver of the recent +9pp price surge is unexplained (no news tying it to a specific catalyst). - IMF's specific 2032 US GDP growth figure unavailable. # Calibration anchors - Kalshi current YES price: **20%** (anchor, trending up). - Historical precedent bands: full-sample base rate ~10%, 1990–2024 ~14%, 2000–2024 ~20% (best analog to current era, matches market). - CBO baseline (1.8%) and Fed longer-run median (2.0%) sit at/below band's low edge, arguing for some downside risk to current market pricing versus institutional consensus.
4. Forecasters Opus + GPT · in parallel
claude-opus-5
0.55
Yes 18%
No 82%
The Kalshi anchor sits at 20% YES after a +9pp move, and the 2000–2024 empirical hit-rate for this exact 0.4pp-wide band is 20%, so market pricing is broadly consistent with modern-era base rates. However, institutional baselines argue for slight downward adjustment: CBO's Jan 2026 projection puts 2032 potential growth at ~1.8% and the Fed's longer-run median at 2.0% — both at or below the band's lower edge — while parametric normal models give only 7–11%. Offsetting this, real growth clusters near trend more tightly than Gaussian tails imply, and AI-productivity upside (Penn Wharton +0.2pp specifically for 2032) could nudge realized growth into the band. I settle just below the market at 18%, reflecting the tension between a market/base-rate anchor of ~20% and structural forecasts centered below the band.
gpt-5.5
0.50
Yes 18%
No 82%
Kalshi anchors YES at 20%, and the 2000–2024 empirical hit rate for this exact 2.1%–2.5% bucket is also 20%, which supports taking the market seriously. However, the CBO projects 2032-era real GDP growth around 1.8% and the Fed longer-run median is 2.0%, both pointing slightly below the band, while normal-model estimates give only about 7%–11% in-band probability. The recent +9pp Kalshi move suggests possible new sentiment toward this bucket, but the brief does not identify a concrete catalyst beyond possible AI productivity upside of roughly +0.2pp. I therefore shade modestly below the market anchor rather than making a large move away from it.
5. Devil's Advocate Sonnet · red-team critique
1. Both forecasters converge to nearly identical 18% estimates via the same reasoning path (market anchor + CBO/Fed shading down), producing a false sense of robustness—this is really one perspective duplicated, not two independent checks, and neither explores why the market might be right to be at 20% or higher (e.g., they don't seriously entertain that the market's +9pp move over 30 days could reflect actual incoming data/forecast revisions rather than noise). 2. Neither forecast addresses the "Gaps/unknowns" item about resolution vintage (advance vs. final BEA, annual-average vs Q4/Q4) — this is a real source of uncertainty that could shift which bucket the outcome lands in, and neither analyst flags it as a reason for wider uncertainty bands or hedging their point estimate. 3. Both forecasts ignore the cross-market signal that adjacent buckets (2035 [1.6-2.0%]=14%, 2036 [2.6-3.0%]=5%) imply the market's own multi-year term structure is trending toward lower growth over time — if 2032 sits between these two anchor years, its 20% price could actually be a local peak in the ladder reflecting the market's belief that mid-2030s growth is centered right around this band, which is a bullish case for the market being *correctly* calibrated (or even underpriced) rather than overpriced, a scenario neither forecaster raises. 4. Neither discusses the asymmetry in the "No" outcome — No comprises both a below-band (recession/slow growth) and an above-band (boom, e.g., strong AI upside beyond +0.2pp or fiscal stimulus) scenario, and both forecasts implicitly treat "No" as synonymous with "growth below 1.8-2.0%" without acknowledging the tail risk of a substantially stronger economy (e.g., 2.6%+) which further validates why "No" could be even higher than 82% if the true distribution has fat tails on both sides. 5. The 8-year lead time to 2032 (forecast made from 2026 CBO/Fed data) introduces significant projection-revision risk that isn't discussed — CBO and Fed long-run estimates are revised regularly, and neither forecaster flags that six more years of data/model updates could easily shift the "structural" 1.8-2.0% consensus by the time 2032 arrives, making current institutional baselines a weaker anchor than treated. 6. Both forecasters land exactly on 18% with no daylight between them despite claiming "independent" analysis and different confidence levels (0.55 vs 0.50) — this convergence to the same rounded number without any differing sub-model weight (e.g., one weighting empirical base rate more, another weighting CBO more) suggests insufficient diversity in the ensemble, reducing the value of having two forecasts at all.
6. Aggregator Opus · final calibrated forecast
18% (52% confidence)
Yes: 18% No: 82%
The Kalshi anchor (20%) and the 2000–2024 empirical hit rate for this exact 0.4pp band (20%) agree, which argues against a large deviation from market pricing. Offsetting that, institutional baselines (CBO ~1.8% for 2031–2036, Fed longer-run median 2.0%) center the distribution just below the band, and parametric models give only 7–11% in-band, so some downward shading is justified; the critique's point that 'No' captures both recession and boom tails reinforces this. The critique's counterpoints — that the +9pp move may reflect real information, that six years of forecast revisions make CBO/Fed a weak anchor, and that resolution-vintage ambiguity widens uncertainty — mostly argue for staying near the market rather than moving far from it, and largely cancel against the structural-slowdown case. I therefore finalize at 18% YES, a modest shade below the 20% market price, which is where both forecasters landed and where the balanced evidence supports.
Pipeline Timing
Total pipeline time: 117.9s
Per-tool research timings shown in the Research section above.