chilton_2020_fdi_reciprocity_cn

8,046 rated or chosen profiles from 1,613 respondents, in up to 5 tasks of 1 profile varying on 4 attributes.

One of 2 tables from the same source; this one is the cn table. The others are listed under Related tables.

About this table

DescriptionChinese SSI respondents (February 2015; n=1,613) read five vignettes about a foreign company trying to acquire a Chinese company, varying ownership, firm size, economic distress and the home country's reciprocity policy, and said whether the Chinese government should prevent the transaction.
ReferenceChilton, A. S., Milner, H. V., & Tingley, D. (2020). Reciprocity and public opposition to foreign direct investment. British Journal of Political Science, 50(1), 129-153.
DOI10.1017/S0007123417000552
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/NN9KZT

Notes

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

Size and shape

Respondents1,613
Rows (one per respondent, task and profile)8,046
Tasks per respondent (most)5
Profiles per task1
Attributes4
Tasks with no profile chosen4,807

Design

Topicinternational economy
A profile representsscenario
CountryCN
Language shownzh
Language of stored levelsen
Randomization restrictionsunknown
Task orderinferred from row order
Profile positionrecorded in the deposit

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choiceIn your opinion, should the Chinese government prevent the proposed transaction? (translated) [choice, opt-out allowed]

Columns

attr_economic_distressattr_firm_sizeattr_ownershipattr_reciprocitychoiceidprofiletask

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

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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("chilton_2020_fdi_reciprocity_cn", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("chilton_2020_fdi_reciprocity_cn", source="conj")

How to cite

@article{Chilton_2017, title={Reciprocity and Public Opposition to Foreign Direct Investment}, volume={50}, ISSN={1469-2112}, url={http://dx.doi.org/10.1017/S0007123417000552}, DOI={10.1017/s0007123417000552}, number={1}, journal={British Journal of Political Science}, publisher={Cambridge University Press (CUP)}, author={Chilton, Adam S. and Milner, Helen V. and Tingley, Dustin}, year={2017}, month=Dec, pages={129–153} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0