# OECD Economics (@OECDeconomy) on x

- id: koinon:creator:x_oecdeconomy
- url: https://koinonlink.com/kol/x/OECDeconomy
- schema_version: 1.4

## Identity
- platform: x
- handle: OECDeconomy
- platform_url: https://twitter.com/OECDeconomy
- website: http://www.oecd.org/economy
- country: France
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 43114
- following: 687
- posts_total: 8342
- posts_observed: 1
- posts_per_day: 1.558
- account_age_days: 5354
- verified: false
- size_tier: koc

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: finance
- subcategory: personal_fin
- category_confidence: 0.75
- category_source: derived_from_recent_content
- topics: Productivity and long-term growth, Employment contracts and labor policies, Public finances and fiscal outlook, Climate resilience and housing challenges, Country-specific economic surveys
- bio: OECD work on: economics, structural macroeconomic policies, economic outlook, and country surveys.
📨 https://t.co/K3yG5pTf07
🖊️https://t.co/ti08KgxYPq

## Audience (inferred)
- status: present
- description: Policymakers, economists, researchers and analysts focused on macroeconomic policy, structural reforms and OECD country surveys
- roles: none
- seniority: decision_maker
- pain_points: Interpreting complex structural reform impacts on productivity and growth, Evaluating labor market rules like non-compete clauses across countries, Balancing fiscal policy with climate, housing and global economic risks
- posts_analysed: 3
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.1
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 76
- authenticity_basis: profile_shape_only
- credibility_score: 76
- flagged_for_review: false
- koinon_bd_grade: C — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [x_oecdeconomy#b6fd87ff] Can #Italy turn resilience into stronger long-term growth? After weathering a series of major shocks, Italy now faces the challenge of boosting productivity, strengthening public finances & raising living standards. An @OECD blog explores the path forward https://t.co/B2wpL8q (https://twitter.com/OECDeconomy/status/2072999268101538133)
- [x_oecdeconomy#09e6f071] Could your employment contract still limit your next job? Originally meant to protect trade secrets, non-compete clauses are now far more common across OECD countries. An @OECD blog explores what this means for labour mobility, competition & productivity. https://t.co/kJSAHbj
- [x_oecdeconomy#cffae541] ☀️ Summer is a great time to explore new ideas. From productivity and public finances to climate resilience, housing and global challenges, discover evidence-based insights from #OECD economists on OECD Ecoscope. ➡️ Which topic would you explore first? 🔗 https://t.co/CDW8HUPvL

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=66, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=66, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=66, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=77, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=77, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=111, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=77, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=111, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=111, method=platform_profile

## Freshness
- profile_checked_days_ago: 111
- content_analysed_days_ago: 77
- audience_updated_days_ago: 66

## AI retrieval
- indexing_requests: 13
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=x_oecdeconomy
- Request removal: https://koinonlink.com/claim?k=x_oecdeconomy
- Terms: https://koinonlink.com/for-ai