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    Home / Central Data Catalog / PAK_2016-2022_BRSJMP_V01_M
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Why Don’t Jobseekers Search More? Barriers and Returns to Search on a Job Matching Platform 2016-2022

Pakistan, 2016 - 2022
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Reference ID
PAK_2016-2022_BRSJMP_v01_M
Producer(s)
Kate Vyborny, Robert Garlick, Nivedhitha Subramanian, Erica Field
Metadata
DDI/XML JSON
Created on
Jul 13, 2026
Last modified
Jul 13, 2026
Page views
18483
Downloads
55
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • HHlisting_long_anony
  • hhdata_prep_se
  • individual_level_analysis
  • individual_level_subscriber_analysis
  • individual_round_level_analysis
  • intmed_prep
  • JA_updated
  • jaebs_prep
  • job_level_analysis_se
  • jsfollowup_prep
  • JT_followup_survey_rand
  • jt_ja_harmonized_JSF_CV_updates
  • jt_ja_harmonized_prep_se
  • jt_ja_harmonized_updates_prep_se
  • JT_JA_screener_appended
  • JT_JA_signup_harmonized_se
  • JT_noid_duprem
  • JT_noid_updated
  • JT_rand_preload_10percent_hybridmod
  • JTupdates_JA_harmonized
  • 20percent_bonuscalls_prep
  • 20percent_prep
  • 20percent_prep_attempt
  • adlisting_prep_se
  • all_optout
  • CC_jobs_cv_scoring
  • cv_tracking_batches
  • CV_updates_Highed_attempts
  • CV_updates_highed_data
  • cv_updates_highed_data_25_Jun_2021
  • cv_updates_highed_data_2020_11_30
  • CV_updates_Lowed_attempts
  • CV_updates_Lowed_FS_attempts
  • feedback_joblevel_prep_se
  • feedback_matchlevel_prep_se
  • firms_prep_se
  • FirmSurvey_nodup_anon_se
  • FR_jobs_cv_scoring
  • FS_adlisting_anon_se
  • FS_del_cleaned_unique_jobid
  • FS_del_cleaned_unique_memidjobid_anon
  • FS_interview_med
  • FS_MidlineSurvey_feedback_cleaned
  • FS_non_compliance_int_med
  • pickup_prep_se
  • post_sep2020_call_order
  • pre_sep2020_call_order_recovered
  • screener_prep_se
  • se_matchlevel_latent_interview_probability_variation_v1
  • search_work_resp_ac
  • triminput
  • Updates_survey_var_JT
  • match_level_analysis_sensitivity
  • match_level_oct2022
  • feedback_joblevel_prep_allvars_se
  • feedback_matchlevel_prep_allvars_se
  • match_level_analysis
  • matches_JT_JA_consolidated
  • matches_prep_se
  • LFS_2018-19
  • cv_updates_uniq_ID_list_he_2022_08_11_b5

Data file: match_level_analysis

Cases: 1414046
Variables: 154

Variables

memid
Person ID
hhid
household id
ebid_hh
EB ID
mem_gender__hh
Enumerator: enter ${mem_name}'s gender.
mem_age__hh
How old is ${mem_name}?
mem_ed__hh
What is ${mem_name}'s education level?
mem_ednow__hh
Is ${mem_name} currently studying?
child_age_hh
What is the age of $[mem_name} 's youngest child?
initial_interest_hh
Initial interest in HH survey
currentwork_hh
Currently working
complete_cv
complete cv at signup
exp_total_yrs_js
years of experience
education_level_js
education level at signup
age
age at signup
female_js
whether subscriber is female
anyexp_js
any experience
employed_bl
employed
job_steps_cons_1
Applied to prospective employer
job_steps_cons_2
Checked at work sites, factories, markets, etc.
job_steps_cons_3
Sought assistance from friends, relatives, others
job_steps_cons_4
Placed or answered advertisements
job_steps_cons_5
Registered with an employment agency
job_steps_cons_6
Other steps
job_steps_cons_7
No specific step taken
anystep_js
any search step taken
highed
subscribers with 12 years of edu
current_edu_enroll_bl
currently studying
ed_yr_js_bl_js
education in years
job_title_choice_any_js
interest in any occupation
job_interest_choice1
interest in occupations
job_interest_choice2
interest in occupations
number_areas_interest_js
number of areas w/ occupational interests
broadinterest_js
selected many occupational categories
jt_ja
subscriber type
exp_total_yrs_up_js
total years of experience post baseline
education_level_up_js
education level post baseline
job_title_choice_any_up
interest shown in any occupation post baseline
job_interest_choice1_update
interest shown in occupation post baseline
job_interest_choice2_update
interest shown in occupation post baseline
number_areas_interest_up
number of occupations in which interest is shown post baseline
dec_change_pref
whether number of occupations in which interest was shown was decreased
type_change_pref_dum
type of change in occupations shown
num_edits_pref
number of edits shown in occupation
job_id
Job ID
relevant_ed
relevant match based on educational specialization
crossover_SE
Crossover treatment
outgoing
SMS + outgoing call
date_batch
matching round start date
hypo_match
type of match (real vs hypothetical)
hy_when
categorization of match
relevant_match_exp
relevant match on basis sector exp
monthly_fare_up
montly rickshaw fare to and from firm location
outgoing_orig
Phone call treatment
planinterview
Jobseeker applied for a vacancy
adlist_date
Formatted to clock
job_code_ad
Code of the Job
firm_jobtitle_ad
What is the job position/job title of the vacancy?
firm_edu_required_ad
What is the minimum education level required?
job_gender_ad
Do you have any gender requirements for this job?
firm_id
Unique firm ID of the firm
firm_edu_specific_ad
Specialization if Required
exp_req_ad
Total preferred experience required (years)
firm_yr_exp_ad
Minimum years of experience required?
exp_req_sector_ad
Preferred experience required in same sector (years)
employment_duration_ad
Employment type
employee_hours_alternative_ad
How often do you allow employees to work flexible work hours when they need to?
salary_min_cons_ad
lowest salary range value
salary_max_cons_ad
highed salary range value
employee_hours_alternative1_ad
employee_hours_alternative==Not at all
employee_hours_alternative2_ad
employee_hours_alternative==Once after every few months
employee_hours_alternative3_ad
employee_hours_alternative==Once a month
employee_hours_alternative4_ad
employee_hours_alternative==Multiple times a month
employee_hours_alternative5_ad
employee_hours_alternative==Once a week
employee_hours_alternative6_ad
employee_hours_alternative==Multiple times a week
deg_specify_lab_ad
Cleaned Integer preferred levels of Education -- Adlisting
ed_yr_ad_min_ad
Minimum Years of Education-Adlisting
ln_salary_min_ad
Log of lowest salary range value
workdays_job_1_ad
Job Workdays - Monday
workdays_job_2_ad
Job Workdays - Tuesday
workdays_job_3_ad
Job Workdays - Wednesday
workdays_job_4_ad
Job Workdays - Thursday
workdays_job_5_ad
Job Workdays - Friday (Full Day)
workdays_job_6_ad
Job Workdays - Friday (Half Day)
workdays_job_7_ad
Job Workdays - Saturday (Full Day)
workdays_job_8_ad
Job Workdays - Saturday (Half Day)
workdays_job_9_ad
Job Workdays - Alternate Saturdays (Full Day)
workdays_job_10_ad
Job Workdays - Alternate Saturdays (Half Day)
workdays_job_11_ad
Job Workdays - One Saturday of the month (Full Day)
workdays_job_12_ad
Job Workdays - One Saturday of the month (Half Day)
workdays_job_13_ad
Job Workdays - Sunday (Full Day)
workdays_job_14_ad
Job Workdays - Sunday (Half Day)
workdays_job_15_ad
Job Workdays - Alternate Sundays (Full Day)
workdays_job_16_ad
Job Workdays - Alternate Sundays (Half Day)
workdays_job_17_ad
Job Workdays - One Sunday of the month (Full Day)
workdays_job_18_ad
Job Workdays - One Sunday of the month (Half Day)
workdays_job_6666_ad
Job Workdays - Refer to headquarters
workdays_job_7777_ad
Job Workdays - Don't want to say
workdays_job_8888_ad
Job Workdays - Don't know
workdays_job_9999_ad
Job Workdays - Left the survey
workdays_job_1111_ad
Job Workdays - The respondent does not understand
tot_hrs_wk_ad
Total hours per week (Full + Half)
total_benefits_ad
Total number of benefits provided for the job
any_benefits_offerred_ad
If any benefit is offered by the respondent for the job
industry_classification_fs
ENUMERATOR: Based only on your observation from outside the firm, which industry
employee_size_fs
How many employees work at this location? Please include yourself or anyone who
pick_and_drop_fs
Does your organization have a transport or pick-and-drop service?
location_type
ENUMERATOR: Is this firm located in a residential, commercial or an industrial a
number_positions
The number of people the firm wishes to hire against a particular vacancy it lis
job_vacancies_fs
The TOTAL number of job vacancies opened up this year at the firm (Consolidated
fsbl_rv_ed_yr_fs_cons
Mean Years Of Education: Recent Vacancy
fsbl_rv_harm_newspaper_cons
Recent Vacancy: Max of firm used NEWSPAPER to advertise for the vacancy
fsbl_rv_harm_web_platform_cons
Recent Vacancy: Max of firm used JOB-WEB PLATFORMS to advertise for the vacancy
fsbl_rv_harm_outsouricng_cons
Recent Vacancy: Max of firm used THIRD PARTY OUTSOURCING to advertise for the va
fsbl_rv_harm_cv_drop_cons
Recent Vacancy: Max of f CV drop offs and walk-in interviews as an advertisement
fsbl_rv_harm_referrals_cons
Recent Vacancy: Max of firm used REFERRALS to advertise for the vacancy.
fsbl_rv_app_int_ratio_cons
Recent vacancy: Ratio for interviews to applivations
women_incl_fs
Gender Inclusivity at Firms
total_apps_offplat
Total off-platform applications for a job
total_int_offplat
Total off-platform applications for a job
married_bl
Married female at baseline
child_bl
Married Female w/ Children at baseline
child_under5_bl
Married Female w/ Children under 5 years of age at baseline
blinactive_jtonly_rec
Inactive at baseline - JT sample only
baseline_matches_se
Baseline matches data not part of the analysis sample
over_qual_exp_bl_dum
Over qualified match relative to firm's minimum experience requirement
over_qual_exp_bl_dum_p
Over-qual relative to firm's pref exp req (binary)
over_qual_edu_bl_dum
Over qualified match relative to firm's minimum educational requirement
over_qual_edu_bl_dum_p
Over-qual rel to firm's pref educ req (binary)
years_exp_updates
Years of experience variable was updated by jobseeker
complete_cv_afterbl
whether cv was complete post baseline
round
Matching round
tinteract
Stratification block
pcappliedperson
Percent of vacancies matched to which this jobseeker applied
highsalary_se
2 quantiles of minimum salary
highsalary_ind_se
High salary relative to this respondent's other matches
highexpectations_se
Expected salary > 90th percentile of matches received
high_expreq_se
Job requires experience
female_ad
Open to hiring women
fsbl_rv_jobs_check_cons_w
ecent vacancy: ENUM:T number of total vacancies opened up last year (Winsorized)
newspaper_max_uncond
Maxmimum value of Newspaper used to recruit this successful hire
webplatform_max_uncond
Maxmimum value of Web job platform used to recruit this successful hire
outsourcing_max_uncond
Maximum value of Recruitment firm used to recruit this successful hire
selected_int_conso_bound
Invited for interview
everapplied
Ever applied to any vacancy
everinvited
Ever interviewed to interview for any vacancy
everinvited_bound
Ever invited for interview - bound variable
pcinterviewperson
Percent of vacancies matched to which this jobseeker was invited for interview
order_cap
Order in which vacancies are listed on the call
shortdistance
2 quantiles of distance
shorthours
2 quantiles of work hours in a month
expectations_reversed
Posted vacancy salary > Jobseeker's stated expected salary
emp1
Firm allows employees to work flexible hours
index_all_vars_v
Index: proxies of value of vacancy to jobseeker
vind
Index: proxies of value of vacancy to jobseeker
Total: 154
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