Vegetation cover mitigates the economic impacts of warming

# Data and Code for the Publication **"Vegetation cover mitigates the economic impacts of warming"** ## Repository Structure - **`Vegetation_code_finalmay25.do`** — Main Stata script to replicate all regression tables (main and supplementary).- **`basevegetfin.dta`** — Cleaned panel dataset used for all estimations.- **`matrices2 (1).xlsx`** — Excel file used to compute marginal effects and interaction terms (vegetation × temperature).- **`ME_FIG2 (1).png`** and **`NDVI_MEs_mapped (3).png`** — Figures showing marginal effects and spatial heterogeneity, generated via Python.- **`README_veget.md`** — Current README file. ## 1) Replication of Results To replicate the paper’s results: **In Stata:**- Open `Vegetation_code_finalmay25.do`- This script reproduces: - **Main Table 1** (baseline specification) - **Table S1** – Robustness checks - **Table S2** – Alternative standard errors - **Table S3** – Extreme heat specifications - **Table S4** – Alternative vegetation measures - **Tables S5A–S5C** – Heterogeneous effects by vegetation types - **Table S6** – Temporal variation in vegetation effectiveness ## 2) Marginal Effects and Visualizations **In Python (Jupyter recommended):**- Use `matrices2 (1).xlsx` to extract interaction coefficients and standard errors- Plot marginal effects using your preferred script (not included here, but used for published figures) ## 3) Figures - `ME_FIG2 (1).png` — Marginal effect of temperature conditional on vegetation levels- `NDVI_MEs_mapped (3).png` — Map of spatial heterogeneity in marginal effects based on NDVI