2,401 rated or chosen profiles from 2,401 respondents, in up to 1 tasks of 1 profile varying on 2 attributes.
| Description | 2,401 Mexican online respondents read one sentence on paying more taxes in which the tax type (VAT or income tax, or neither named) and the use of the revenue (health, roads, security, or none named) were randomized; outcome: 1-5 agreement. |
|---|---|
| Reference | López García, A. I., Berens, S., & Maydom, B. (2023). Emigration, social remittances and fiscal policy preferences: Experimental evidence from Mexico. Comparative Political Studies. |
| DOI | 10.1177/00104140231204235 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/dvn/byavmc |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,401 |
|---|---|
| Rows (one per respondent, task and profile) | 2,401 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 2 |
| Topic | tax welfare economy |
|---|---|
| A profile represents | policy |
| Country | MX |
| Language shown | es |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | inferred from row order |
| 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:
| rating_agree | To what extent do you agree or disagree with you paying more taxes <tax type> than you do now to increase public spending <use>? [rating, 1 (Strongly disagree) to 5 (Strongly agree)] |
|---|
attr_spending_useattr_tax_typecov_agecov_age_groupcov_educationcov_gendercov_stateidprofilerating_agreetask
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("lopezgarcia_2023_mx_tax_earmark", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("lopezgarcia_2023_mx_tax_earmark", source="conj")
@article{L_pez_Garc_a_2023, title={Emigration, Social Remittances and Fiscal Policy Preferences: Experimental Evidence From Mexico}, volume={57}, ISSN={1552-3829}, url={http://dx.doi.org/10.1177/00104140231204235}, DOI={10.1177/00104140231204235}, number={11}, journal={Comparative Political Studies}, publisher={SAGE Publications}, author={López García, Ana Isabel and Berens, Sarah and Maydom, Barry}, year={2023}, month=Oct, pages={1902–1933} }
| 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 |