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    Home / Central Data Catalog / PAK_2016-2022_BRSJMP_V01_M / variable [F51]
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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
18585
Downloads
66
  • Study Description
  • Data Description
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  • 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

Code of the Job (job_code_ad)

Data file: triminput

Overview

Valid: 1116959
Invalid: 0
Minimum: 101
Maximum: 216
Type: Discrete
Width: 70
Range: -
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 Sales/Marketing Officer 106374
9.5%
102 Manager 52102
4.7%
103 Customer Service Officer 26483
2.4%
104 Call centre agent 27167
2.4%
105 Data Entry Operator 19194
1.7%
106 Teacher 80582
7.2%
107 Research Officer 8199
0.7%
108 Accountant 34106
3.1%
109 Administration Officer 40335
3.6%
110 Computer Operator 19490
1.7%
111 Receptionist 21315
1.9%
112 Supervisor/Controller 14761
1.3%
113 Lab Assistant 4404
0.4%
114 IT Specialist 24886
2.2%
115 Doctors/Nurses 2272
0.2%
116 Designer 5075
0.5%
117 Engineer 4485
0.4%
118 Lawyer 1344
0.1%
119 Journalist 5332
0.5%
120 Armed Forces/Police Officer 1541
0.1%
201 Office Assistant 271070
24.3%
202 Rider/Courier 14517
1.3%
203 Ayah 5690
0.5%
204 Cook 15165
1.4%
205 Factory worker 33536
3%
206 Waiter 9829
0.9%
207 Storekeeper 24342
2.2%
208 Security Guard 11449
1%
209 Housekeeping 7193
0.6%
210 Janitorial Staff 14783
1.3%
211 Construction worker 0
212 Parlor employee 49066
4.4%
213 Driver 13133
1.2%
214 Electrician/Technician 56565
5.1%
215 Plumber/Carpenter 9073
0.8%
216 Other Skilled Labor 82101
7.4%
217 Armed Forces Officer 0
n None of the above 0
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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