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Impact of Urban Traffic Restrictions (ZTL) on PM10 Levels

This project evaluates the causal impact of Limited Traffic Zones (ZTL) introduced in 2015 on air quality in major Italian cities (Milan, Turin, Florence, etc.).

🔬 Methodology: Difference-in-Differences (DiD)

The analysis uses a Difference-in-Differences econometric approach to isolate the effect of the policy:

  • Treatment Group: Cities that implemented ZTL in 2015.
  • Control Group: Cities with similar characteristics but no ZTL in that period.
  • Fixed Effects: Inclusion of City and Year fixed effects to control for time-invariant characteristics and common shocks.

📈 Key Results

  • Parallel Trends: Validated through an Event-Study design (see scripts/02_did_model.py).
  • Robustness: Includes "Leave-one-out" analysis and "Placebo tests" to confirm the validity of the results.

⚙️ Execution

  1. Install dependencies: pip install -r requirements.txt
  2. Run the main model: python scripts/02_did_model.py

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Econometric analysis of the impact of Limited Traffic Zones (ZTL) on PM10 levels in Italian cities using a Difference-in-Differences (DiD) approach.

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