- Kenneth Gillingham (Yale University)
- Anders Munk-Nielsen (University of Copenhagen)
- John Rust (Georgetown University)
- Fedor Iskhakov (Australian National University)
- Bertel Schjerning (University of Copenhagen)
The MATLAB script run_all.m reads in the data and replicates all the main results in the paper by calling the following MATLAB scripts in sequence
- run_illustrations.m
- MATLAB script that produces numerical illustrations of equilibrium in a stylized economy with 2 cars and 2 consumers
- Replicates Figure 2 and 3 in the theory section
- Results stored in the folder results/illustration
- run_estimation.m:
- MATLAB script that reads in the tabulated data and runs DNFXP to obtain parameter estimates used below.
- Results stored in the matfile results/estimation/mle_step2.mat
- Before running the scripts below, make sure converged parameter estimates are stored as results/estimation/mle_converged.mat. In run_all.m this is done automatically by copying mle_step2.mat to mle_converged.mat.
- run_param_tables.m
- MATLAB script that produces tex tables with estimation output.
- Replicates tables with parameter estimates and standard errors in the online appendix.
- Results stored in the folder results/tables
- Note: This code also produces the summary statistics for all car types found in the oline appendix. To obtain the table with summary statistics for each of the 8 demographic groups, you must also execute the Jupyter Notebook /data/sumstats.ipynb.
- run_model_fit.m
- MATLAB script that produces graphs with model fit
- Replicates Figure 4-6 in the empirical section of the paper
- Results stored in the folder results/model_fit
- run_laffer_3d.m
- MATLAB script that produces contour plots and 3d-graphs with Tax-revenue (Laffer curve), CO2-emissions, and social surplus when varying the fuel and registration tax rates
- Replicates Figure 8 (contour plots) in empirical section of the paper and Figure 1 (3d-curves) in the online appendix.
- Results stored in the folder results/laffer
- run_iruc_CF.m
- MATLAB script that produces counterfactual policy simulation results. This code run simulations assuming i) perfect pass-through (as in the paper) and ii) imperfect pass-through (not published)
- Replicates Figure 7 (prices) and Table 1 (summary of policy simulation) in the empirical section of the paper.
- Results (with perfect pass-through) stored in the folder results/iruc_CF.