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impact_evaluation

The International Rescue Committee PRO-Jeunes Program Impact Evaluation Surveys, 2019-2023
Baseline and Midline

Côte d'Ivoire, 2019 - 2023
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Reference ID
CIV_2019-2023_PROJ_v01_M
DOI
https://doi.org/10.48529/1b0k-6j78
Producer(s)
Clara Delavallade, Léa Rouanet, Estelle Koussoubé
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 28, 2024
Last modified
May 28, 2024
Page views
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Data file: baseline1_nopii

baseline1_noPII: Data collected as part of the baseline survey targeting the first cohort of the PRO-Jeunes program. 1865 individuals participated in a face-to-face interview between February and July 2019.

Cases: 1865
Variables: 1646

Variables

revenu_na_1
revenue non agricole activite 1
revenu_na_2
revenue non agricole activite 2
revenu_na_3
revenue non agricole activite 3
revenu_na_4
revenue non agricole activite 4
revenu_a_1
revenue agricole activite 1
revenu_a_2
revenue agricole activite 2
revenu_a_3
revenue agricole activite 3
expenses_total
respondent's total expenses
saving
Does the respondent have savings or not?
worked_7d
Respondent has worked for the last 7 days
worked_6m
Respondent has worked for the last 6 months
total_working_hours_s
The number of working hours per month for salary activities
total_working_hours_nf
The number of working hours per month for non-agricultural entrepreneurial activ
total_working_hours_f
The number of working hours per month for agricultural entrepreneurial activitie
total_working_hours
The total number of working hours per month
worked_s
The respondent has a salary activity
worked_nf
The respondent has a non-agricultural entrepreneurial activity
worked_f
The respondent has an entrepreneurial agricultural activity
network1
The most used first main means to look for a job
submit_resume1
The second most used first main means to look for a job
research_on_internet1
The third most used first main means to look for a job
research_on_internet2
The most used second main means to look for a job
submit_resume2
The second most used second main means to look for a job
personal_approach2
The third most used second main means to look for a job
research_on_internet3
The most used third main means to look for a job
personal_approach3
The second most used third main means to look for a job
raison_1
The most says first main reason for job refusal
raison_6
cl_raison1== 5.0000
job_satisfied1
The most used first main reason given for not looking for work
other_reason1
The second most used first main reason given for not looking for work
pro_jeune1
The third most used first main reason given for not looking for work
job_satisfied2
The most used second main reason given for not looking for work
pro_jeune2
The second most used second main reason given for not looking for work
other_reason2
The third most used second main reason given for not looking for work
pro_jeune3
The most used third main reason given for not looking for work
job_satisfied3
The second most used third main reason given for not looking for work
other_reason3
The third most used second main reason given for not looking for work
job_seek1
Have you looked for work in the last 30 days?
job_seek2
Have you done anything to look for work in the last 7 days?
job_seek_time
In the last 7 days, approximately how many hours in total did you spend actively
job_min_salary
What is the minimum monthly amount you are willing to work for?
ihs_cl_total_saving
ihs transformation of the respondent's savings
ihs_cl_income_l30days
IHS trans. values of cl_income_l30days
ihs_cl_income_main
IHS trans. values of cl_income_main
ihs_cl_income_sec
IHS trans. values of cl_income_sec
ihs_cl_profit_l30days
IHS trans. values of cl_profit_l30days
ihs_cl_profit_main
IHS trans. values of cl_profit_main
ihs_cl_profit_sec
IHS trans. values of cl_profit_sec
ihs_cl_value_credits
IHS trans. values of cl_value_credits
ihs_cl_value_interest
IHS trans. values of cl_value_interest
ihs_expenses_total
IHS trans. values of expenses_total
access_credit
Do you have access to credits or do you have loans to repay
access_funds
the respondent can gather 200.000f CFA in emmergency in one month length with pr
network_size
The network size of the respondent
group_part
The respondant group participation score. Sum of all type group in which the res
group_leader
A dummy variable for wether the respondant is at least leader in one of the grou
group_act
A dummy variable for wether the respondant is at least active in one of the grou
food_sec
wether if in the past 7 days, any member of the household skip any meal because
nbr_food_sec
the average number of meals members of the household skip in the past 7 days
men_first1
When you run out of food, men are served first.
women_first1
When you run out of food, women are served first.
boys_first1
When you run out of food, children boys are served first.
girls_first1
When you run out of food, children girls are served first.
model
Do you know anyone who has been successful in their professional life?
model_sex
A dummy variable of wether if the respondant and his/her model have the same sex
freedom_mov
freedom of movement / mobility of the respondent
gender_equality
Index of gender equality
sharing_housework
Index of sharing of houseworks with patner/husband
internality
Self control index
powerful
powerful network index
luck
chance/ luck index
ag14_rev
RECODE of ag14 (AG14. J’ai le sentiment que ce qui arrive dans ma vie est princi
ag18_rev
RECODE of ag18 (AG18. Sans l’intervention de personnes bien placées, on ne me do
ag21_rev
RECODE of ag21 (AG21. Le déroulement de mon existence est essentiellement sous l
ag22_rev
RECODE of ag22 (AG22. Les gens comme moi ont très peu de possibilités de défendr
ag24_rev
RECODE of ag24 (AG24. Pour obtenir ce que je veux, il faut que cela plaise aux p
ag26_rev
RECODE of ag26 (AG26. Si des gens importants décidaient qu’ils ne m’aimaient pas
ag31_rev
RECODE of ag31 (AG31. Afin que mes projets réussissent, je m’assure qu’ils corre
ag13_rev
RECODE of ag13 (AG13. Ma vie est en grande partie dirigée par des événements dus
ag16_rev
RECODE of ag16 (AG16. Il n’est souvent pas possible de protéger mes intérêts con
ag17_rev
RECODE of ag17 (AG17. Quand j’obtiens ce que je veux, c’est généralement par cha
ag20_rev
RECODE of ag20 (AG20. J’ai souvent constaté que ce qui doit arriver arrive.)
ag23_rev
RECODE of ag23 (AG23. Pour moi, il n’est pas toujours sage de faire des projets
ag25_rev
RECODE of ag25 (AG25. Parvenir ou non à être un leader dépend de la chance que j
ag32_rev
RECODE of ag32 (AG32. Que j’aie peu ou beaucoup d’amis, c’est avant tout une que
locus_control
locus of control index
decision
The respondent decision making score. Sum of all types of decisions made in the
decision_free
Sum of the respondent feeling about his/her ability to make his/her own decision
decision_women
Sum of the respondent thinking about women in her neighborhood to make their own
decision_making
Index of the respondent opinion taken into account in decisions concerning the h
power_decision
Index to what the respondent feel he/she make his/her own decisions without anyo
house_own
A dummy varaiable for whether the respondent household owns at least one house
livestock_own
A dummy varaiable for whether the respondent household owns at least one (goat,
poultry_own
A dummy varaiable for whether the respondent household owns at least one poultry
other_farm_animal_own
A dummy varaiable for whether the respondent household owns other farm animals l
radio_own
A dummy varaiable for whether the respondent household owns at least one radio
tele_own
A dummy varaiable for whether the respondent household owns at least one TV
spray_own
A dummy varaiable for whether the respondent household owns at least one spray
cell_own
A dummy varaiable for whether the respondent household owns at least one cellpho
frigde_own
A dummy varaiable for whether the respondent household owns at least one frigde
moto_own
A dummy varaiable for whether the respondent household owns at least one moto
generator_own
A dummy varaiable for whether the respondent household owns at least one generat
bicycle_own
A dummy varaiable for whether the respondent household owns at least one bicycle
fan_own
A dummy varaiable for whether the respondent household owns at least one fan
air_conditioner_own
A dummy varaiable for whether the respondent household owns at least one air_con
computer_own
A dummy varaiable for whether the respondent household owns at least one compute
meubles_own
A dummy varaiable for whether the respondent household owns at least one meuble
land_own
A dummy varaiable for whether the respondent household owns at least one land
mattress_own
A dummy varaiable for whether the respondent household owns at least one mattres
hh_asset_index
Household ownership asset score. Sum of domestic goods of the household.
asset_index_rr
Respondent asset score. Sum of domestic goods of the respondent that included be
hh_asset_index_pca
Household asset index (beds, bicycles, scooters, phones, radios, TV, etc) genera
cement_floor
Cement, tile, marble floors
brick_wall
Brick walls
water_concession
Drinking water in the subdivision
water_hh
Drinking water in the household
electricity_hh
Electricity or power in the household
choice
ID_choix
choice1
The choice of the respondent
marital_status
ID7. Statut matrimonial de l'enquêté
married
The respondent is married
single
The respondent is single
age_partner
age of the respondent partner
educ_prim_partner
The respondent partner has at most primary school education
laborforce_partner
a dummy variable for whether the respondent partner is in the laborforce.
age_mariage
Age of the respondant during her/his mariage
age_relationship
Age of the respondant when his/her relationship has started
nbr_charge
How many dependent children do you have?
nbr_charge_hh
How many of dependent children live in your household?
nbr_charge_female
How many of your dependent children are girls?
school_last_year
Did you attend school during the past school year?
school_this_year
Are you currently enrolled in school (school year 2018-2019)?
educ
Education
sec_educ
secondary school or higher
prim_educ
Primary school or higher
educ_years_rr
ED6. Au total, combien d'années avez-vous passé à l'école?
hh_rel
A dummy variable for wether the respondent is the head of household/ spouse of h
hh_married
A dummy variable for wether the respondent's household head is married or not
hh_laborforce
A dummy variable for wether the respondent's household head is in the laborforce
hh_sex
The sex of the head of the household
hh_size
Household size: total number of individuals
hh_age
Age of the head of the household
nbr_adults_hh
Number of adults in the household (cut_off=14)
nbr_children_hh
Number of children in HH (cut_off=14)
hh_size_female
Household female size: total number of female in the household
zone
zone geographique
Total: 1646
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