elmendorf_2024_housing_platforms

About this table

Notes

• Conjoint table (irw_conjoint). choice: "Given this choice, which set of positions would you prefer?" between Set A and Set B, forced choice, no opt-out. Each set lists three policy positions; the two sets take opposite positions on the same three issues, so attributes are per issue with '(not shown)' when absent. Task 6 repeats task 1 with the sets swapped (and an issue-name column shown). Authors' filters applied (finished, screening passed, speeders dropped): 5,127 respondents.

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Design

Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.

Outcomes:

Columns

attr_abortionattr_artsattr_climate_changeattr_crimeattr_discrimination_minorityattr_discrimination_whiteattr_educationattr_electionsattr_gmosattr_gun_controlattr_health_careattr_housing_build_bmr_infillattr_housing_build_bmr_openattr_housing_build_mr_infillattr_housing_build_mr_openattr_housing_buyer_helpattr_housing_feesattr_housing_iz_lowerattr_housing_iz_middleattr_housing_permittingattr_housing_property_taxesattr_housing_rent_controlattr_housing_renter_helpattr_housing_section_8attr_housing_spend_bmrattr_immigrationattr_laborattr_land_bankattr_marijuanaattr_minimum_wageattr_natureattr_parkingattr_policeattr_prescription_drugsattr_taxes_gasattr_taxes_middleattr_taxes_upperattr_technologyattr_wall_streetattrpos_abortionattrpos_artsattrpos_climate_changeattrpos_crimeattrpos_discrimination_minorityattrpos_discrimination_whiteattrpos_educationattrpos_electionsattrpos_gmosattrpos_gun_controlattrpos_health_careattrpos_housing_build_bmr_infillattrpos_housing_build_bmr_openattrpos_housing_build_mr_infillattrpos_housing_build_mr_openattrpos_housing_buyer_helpattrpos_housing_feesattrpos_housing_iz_lowerattrpos_housing_iz_middleattrpos_housing_permittingattrpos_housing_property_taxesattrpos_housing_rent_controlattrpos_housing_renter_helpattrpos_housing_section_8attrpos_housing_spend_bmrattrpos_immigrationattrpos_laborattrpos_land_bankattrpos_marijuanaattrpos_minimum_wageattrpos_natureattrpos_parkingattrpos_policeattrpos_prescription_drugsattrpos_taxes_gasattrpos_taxes_middleattrpos_taxes_upperattrpos_technologyattrpos_wall_streetchoicecov_duration_seccov_stateidprofiletasktrial_repeat_of

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.

Get the data

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("elmendorf_2024_housing_platforms", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("elmendorf_2024_housing_platforms", source="conj")

How to cite

@article{Elmendorf_2024, title={What State Housing Policies Do Voters Want? Evidence from a Platform-Choice Experiment}, volume={5}, ISSN={2689-4823}, url={http://dx.doi.org/10.1561/113.00000096}, DOI={10.1561/113.00000096}, number={1}, journal={Journal of Political Institutions and Political Economy}, publisher={Emerald}, author={Elmendorf, Christopher S. and Nall, Clayton and Oklobdzija, Stan}, year={2024}, month=Sept, pages={117–152} }

Version and provenance