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    Home / Central Data Catalog / PAK_2016-2022_BRSJMP_V01_M / variable [F56]
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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
40723
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80
  • 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

Total off-platform applications for a job (total_apps_offplat)

Data file: feedback_matchlevel_prep_allvars_se

Overview

Valid: 4654
Invalid: 4045
Minimum: 0
Maximum: 1600
Mean: 24.748818220885
Standard deviation: 112.80789694738
Type: Discrete
Width: 44
Range: -
Format: Numeric

Questions and instructions

Categories
Value Category Cases
a Question wasn't deployed 0
c Can't Determine 0
d Don't know 0
f Filtered because the question isn't relevant 0
h Refer to headquarters 0
l Left the survey 0
r Don't want to say 0
u The respondent does not understand 0
0 1868
21.5%
1 607
7%
2 203
2.3%
3 195
2.2%
4 113
1.3%
5 208
2.4%
6 55
0.6%
7 21
0.2%
8 43
0.5%
9 7
0.1%
10 205
2.4%
11 60
0.7%
12 37
0.4%
13 6
0.1%
14 18
0.2%
15 114
1.3%
16 8
0.1%
18 25
0.3%
20 55
0.6%
21 17
0.2%
23 32
0.4%
25 68
0.8%
26 27
0.3%
27 2
0%
29 63
0.7%
30 10
0.1%
35 11
0.1%
38 34
0.4%
40 42
0.5%
43 41
0.5%
45 53
0.6%
46 11
0.1%
50 45
0.5%
55 22
0.3%
60 10
0.1%
62 1
0%
64 4
0%
70 10
0.1%
100 97
1.1%
118 25
0.3%
120 84
1%
150 2
0%
200 22
0.3%
203 2
0%
350 18
0.2%
800 40
0.5%
917 2
0%
1600 11
0.1%
Sysmiss 4045
46.5%
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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