goldfarb_2026_aviation_fuel

About this table

Notes

• Conjoint table (irw_conjoint). Outcome: "Which of these two flights would you choose?" (Flight 1 / Flight 2), forced, no opt-out. Attribute order randomized per respondent and recorded (attrpos_). cov_survey_weight is the deposit's weight. The fuel-type level text keeps the source's spelling 'Sutainable'. ZIP codes and Qualtrics IDs dropped, as were the omnibus survey's unrelated items.

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

Outcomes:

Columns

attr_airlineattr_baggageattr_fuel_typeattr_legroomattr_priceattr_seat_typeattrpos_airlineattrpos_baggageattrpos_fuel_typeattrpos_legroomattrpos_priceattrpos_seat_typechoicecov_agecov_climate_changecov_educationcov_gendercov_ideologycov_incomecov_party_idcov_party_leancov_race_asiancov_race_blackcov_race_hispaniccov_race_native_americancov_race_othercov_race_whitecov_regioncov_religioncov_saf_familiarcov_saf_safecov_sci_know_selfcov_sciknow_1cov_sciknow_2cov_sciknow_3cov_sciknow_4cov_sciknow_5cov_sciknow_6cov_sciknow_7cov_sciknow_8cov_sciknow_9cov_statecov_survey_weightcov_trump_approvecov_vote_2024cov_vote_choice_2024idprofiletask

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("goldfarb_2026_aviation_fuel", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("goldfarb_2026_aviation_fuel", source="conj")

How to cite

@misc{https://doi.org/10.7910/dvn/dohf01,
  doi = {10.7910/DVN/DOHF01},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/DOHF01},
  author = {{Kriner, Douglas} and Goldfarb, Jillian L. and Tester, Jefferson and Bhujle, Trisha},
  keywords = {Engineering, Social Sciences, Sustainable aviation fuel, consumer preference, public opinion, conjoint experiment, public science knowledge},
  title = {Replication Data for: Comfort or climate? Consumer trade-offs between sustainable aviation fuel and flight amenities},
  publisher = {Harvard Dataverse},
  year = {2026}
}

Version and provenance