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EE 508 | DS 537

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  • About
  • Schedule
  • Get started
  • Labs
  • Tests
  • Project

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  • 1. Spatial data processing and visualization
    • 1.1. Countries and threatened species with QGIS
    • 1.2. Prior knowledge and interests of EE 508 students: pandas
    • 1.3. Countries and threatened species with geopandas
    • 1.4. Species priorities in Colombia: rasterio, numpy, and GDAL
    • 1.5. Spatial analytics exercise: ecosystem value mapping
  • 2. Systematic conservation planning with Marxan
    • 2.1. Getting to know Marxan: the case of Tasmania
    • 2.2. Building a Marxan analysis from scratch
    • 2.3. Improving the plan: cost proxy and planning units
  • 3. Optimal policy targeting with predictive machine learning
    • 3.1. Predicting land acquisition cost and forest change across Massachusetts
    • 3.2. Optimality of policy targeting: simulating incentives to avoid carbon loss
  • 4. Quasi-experimental impact evaluation with matching
    • 4.1. Estimating the effects of protected areas on Amazon deforestation
  • Labs
  • 4. Quasi-experimental impact evaluation with matching

4. Quasi-experimental impact evaluation with matching#

  • 4.1. Estimating the effects of protected areas on Amazon deforestation
    • 4.1.1. Prepare software and data
    • 4.1.2. Explore the Amazon data
    • 4.1.3. Examine covariate distributions
    • 4.1.4. Conduct a naïve impact analysis
    • 4.1.5. Estimate impacts with matched controls
    • 4.1.6. Assess the quality of the matches
    • 4.1.7. Test alternative specifications
    • 4.1.8. Write up an executive summary
    • 4.1.9. Wrap up

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4.1. Estimating the effects of protected areas on Amazon deforestation

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