9,210 rated or chosen profiles from 921 respondents, in up to 5 tasks of 2 profiles varying on 3 attributes.
| Description | Tax-reform conjoint: 921 German adults (Lucid quota sample, 2021 federal election campaign) each compared 5 pairs of reform packages varying personal income, inheritance and corporate taxes, and chose which package contributes more to reducing inequality and which more to economic growth. |
|---|---|
| Reference | Becker, B., Castanho Silva, B., & Lierse, H. (2025). Taxing your cake and growing it too: Public beliefs on the dual benefits of progressive taxation. Journal of Public Policy, 46, 1-20. |
| DOI | 10.1017/S0143814X25100858 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/R5SDWN |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 921 |
|---|---|
| Rows (one per respondent, task and profile) | 9,210 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 3 |
| Topic | tax welfare economy |
|---|---|
| A profile represents | policy |
| Country | DE |
| Language shown | de |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice_growth | To which of the reform packages do the following statements apply more? Contributes to the growth of the economy. (translated) [choice, forced] |
|---|---|
| choice_inequality | To which of the reform packages do the following statements apply more? Contributes to the reduction of economic inequality. (translated) [choice, forced] |
attr_corporate_taxattr_income_taxattr_inheritance_taxchoice_growthchoice_inequalitycov_firm_sizecov_income_percentilecov_left_rightcov_wealth_percentileidprofiletask
The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("becker_2025_tax_packages", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("becker_2025_tax_packages", source="conj")
@article{Becker_2025, title={Taxing your cake and growing it too: public beliefs on the dual benefits of progressive taxation}, volume={46}, ISSN={1469-7815}, url={http://dx.doi.org/10.1017/S0143814X25100858}, DOI={10.1017/s0143814x25100858}, number={1}, journal={Journal of Public Policy}, publisher={Cambridge University Press (CUP)}, author={Becker, Bastian and Castanho Silva, Bruno and Lierse, Hanna}, year={2025}, month=Nov, pages={1–20} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint v4.2 |
| Redivis dataset DOI | 10.57761/qkye-q530 |
| Manifest pin for this IRW version | v4.2 |
| Metadata source | irw_meta v44.0 |