18,962 rated or chosen profiles from 2,382 respondents, in up to 4 tasks of 2 profiles varying on 6 attributes.

About this table

Description	2,382 Senegalese (Dakar) firm respondents each judged 4 pairs of hypothetical business deals varying in contract formality, the partner's political connections and party affiliation, firm size, and the manager's ethnicity and religion; per-deal 0/1 outcomes for which deal they would choose (one, both or neither) and which would end in breach.
Reference	Bhandari, A. (2023). Social, formal, and political determinants of trade under weak rule of law: Experimental evidence from Senegalese firms. Comparative Political Studies, 56(2), 163-192.
DOI	10.1177/00104140221089648
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/FOV6WJ

Notes

Conjoint table (irw_conjoint). Each pair asked which deal the respondent would be more likely to choose and which would more likely end in breach, with Deal 1 / Deal 2 / Neither / Both allowed, so both are stored as per-profile 0/1 ratings (rating, rating_breach; higher rating_breach = more breach risk); refusals and don't-knows are blank. Level text is the English codebook text; respondents' display language is not documented. Attribute order varied by one of four undocumented schemes (trial_attribute_order). 7 respondents with no answers dropped; 8 implausible ages (above 100) blanked.

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

Design

Topic	international economy
A profile represents	product service
Country	SN
Language shown	unknown
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

rating	Which deal would you be more likely to choose? Deal 1 / Deal 2 / Neither / Both (paraphrase) [rating, 0 (not chosen) to 1 (would choose this deal)]
rating_breach	Which deal is more likely to end in breach? Deal 1 / Deal 2 / Neither / Both (paraphrase) [rating, 0 (not named) to 1 (more likely to end in breach)]

Columns

attr_business_sizeattr_contractattr_manager_ethnicityattr_manager_religionattr_personal_connectionattr_political_affiliationcov_agecov_formal_firmcov_genderidprofileratingrating_breachtasktrial_attribute_order

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 needed Browse on Redivisexplore and query Croissant 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("bhandari_2023_trade_partners", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("bhandari_2023_trade_partners", source="conj")

How to cite

@article{Bhandari_2022, title={Social, Formal, and Political Determinants of Trade Under Weak Rule of Law: Experimental Evidence from Senegalese Firms}, volume={56}, ISSN={1552-3829}, url={http://dx.doi.org/10.1177/00104140221089648}, DOI={10.1177/00104140221089648}, number={2}, journal={Comparative Political Studies}, publisher={SAGE Publications}, author={Bhandari, Abhit}, year={2022}, month=June, pages={163–192} }

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint v4.2
Redivis dataset DOI	10.57761/qkye-q530
Manifest pin for this IRW version	v4.2
Metadata source	irw_meta v44.0

Respondents	2,382
Rows (one per respondent, task and profile)	18,962
Tasks per respondent (most)	4
Profiles per task	2
Attributes	6

bhandari_2023_trade_partners