Replication Data for: Taxing Uber-Polluters: Carbon Inequality and Support for Wealth Taxation to Finance the Green Transition

This dataset contains the survey data, replication code, and figures for Ahrens, Bremer, and Hakelberg (2026), \"Taxing uber-polluters: carbon inequality and support for wealth taxation to finance the green transition,\" Climate Policy (https://doi.org/10.1080/14693062.2026.2661351). The replication package contains: (i) the de-identified raw survey data in SPSS format (n = 4,796 respondents × 83 variables, after dropping or coarsening 20 variables that posed re-identification risk); (ii) the processed analysis dataset (n = 4,653 after standard listwise filters); (iii) the conjoint design file; (iv) the entropy-balancing weights and population calibration margins; (v) a single R Markdown analysis script that reproduces every figure and numeric claim in the paper; (vi) all main and supplementary figures as PDF and 600-dpi PNG; and (vii) a codebook, deidentification note, reproducibility matrix, and pre-knitted HTML walkthrough. Code is licensed MIT; data and documentation under CC BY 4.0. Ethics approval: IRB at the Free University Berlin (ZEA Nr. 2023-024).