2,583 rated or chosen profiles from 531 respondents, in up to 5 tasks of 1 profile varying on 3 attributes.
| Description | 531 Boston residents (online, three waves) each rated up to five hypothetical housing developments shown on images of their neighbourhood, with affordable housing units or 100% market-rate, then a randomized compensation offer (amount $50-$10,000, private cash or public park investment). Outcomes: support without compensation (0-1) and support or oppose with compensation. |
|---|---|
| Reference | Hankinson, M., & de Benedictis-Kessner, J. (2024). How self-interest and symbolic politics shape the effectiveness of compensation for nearby housing development. Journal of Public Policy, 44. |
| DOI | 10.1017/s0143814x24000199 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/dvn/dz0pr8 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 531 |
|---|---|
| Rows (one per respondent, task and profile) | 2,583 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 1 |
| Attributes | 3 |
| Tasks with no profile chosen | 1,332 |
| Topic | housing neighbourhoods |
|---|---|
| A profile represents | policy |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | inferred from row order |
Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| choice | Do you support or oppose the proposal with this compensation? (support = 1, oppose = 0; wording not in the deposit) (paraphrase) [choice, opt-out allowed] |
|---|---|
| rating_support_before_compensation | How much do you support the proposal, before any compensation is mentioned? (strongly oppose to strongly support; wording not in the deposit) (paraphrase) [rating, 0 (strongly oppose) to 1 (strongly support)] |
attr_affordable_housingattr_compensation_amountattr_compensation_formchoicecov_agecov_educationcov_gendercov_homeownercov_ideologycov_incomecov_party_idcov_raceidprofilerating_support_before_compensationtasktrial_distance_kmtrial_wave
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("hankinson_2024_housing_compensation", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("hankinson_2024_housing_compensation", source="conj")
@article{Hankinson_2024, title={How self-interest and symbolic politics shape the effectiveness of compensation for nearby housing development}, volume={44}, ISSN={1469-7815}, url={http://dx.doi.org/10.1017/s0143814x24000199}, DOI={10.1017/s0143814x24000199}, number={4}, journal={Journal of Public Policy}, publisher={Cambridge University Press (CUP)}, author={Hankinson, Michael and de Benedictis-Kessner, Justin}, year={2024}, month=Oct, pages={785–808} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint_2 v1.4 |
| Redivis dataset DOI | 10.57761/hk97-wv30 |
| Manifest pin for this IRW version | v1.4 |
| Metadata source | irw_meta v44.0 |