Why Don’t Jobseekers Search More? Barriers and Returns to Search on a Job Matching Platform 2016-2022
Pakistan, 2016 - 2022
Get Microdata
Reference ID
PAK_2016-2022_BRSJMP_v01_M
Producer(s)
Kate Vyborny, Robert Garlick, Nivedhitha Subramanian, Erica Field
Created on
Jul 13, 2026
Last modified
Jul 13, 2026
Page views
66828
Downloads
144
- 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
highed salary range value (salary_max_cons_ad)
Data file: job_level_analysis_se
Overview
Valid:
1431
Invalid:
79
Minimum:
0
Maximum:
250000
Type:
Discrete
Width:
44
Range:
-
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| a | Question wasn't deployed | 0 | |
| b | CV packet couldn't be delivered success | 0 | |
| c | Can't determine | 0 | |
| d | Don't know/Respondent doesn't know | 0 | |
| e | Delivered CV but didn't attempt feedback | 0 | |
| f | Filtered because the question isn't relevant | 0 | |
| g | Data not available | 0 | |
| h | Refer to headquarters | 0 | |
| i | Incorrectly skipped | 0 | |
| j | Unchanged information | 0 | |
| k | Incomplete information on experience | 0 | |
| l | Left survey | 0 | |
| m | All hypothetical matches | 0 | |
| n | None of the above | 0 | |
| o | Data entry error | 0 | |
| p | Couldn't reach post-packet | 0 | |
| q | Selected low-ed title | 0 | |
| r | Refusal to answer/Don't want to say | 0 | |
| s | The firm didn't answer signup Q's | 0 | |
| u | The respondent does not understand | 0 | |
| w | Not in randomization | 0 | |
| x | Inactive randomization | 0 | |
| z | The firm didn't have a recent vacancy | 0 | |
| 0 | 31 |
2.1%
|
|
| 1000 | 2 |
0.1%
|
|
| 1500 | 1 |
0.1%
|
|
| 2000 | 1 |
0.1%
|
|
| 3000 | 3 |
0.2%
|
|
| 4000 | 5 |
0.3%
|
|
| 4500 | 2 |
0.1%
|
|
| 5000 | 20 |
1.3%
|
|
| 6000 | 17 |
1.1%
|
|
| 7000 | 1 |
0.1%
|
|
| 8000 | 33 |
2.2%
|
|
| 8500 | 1 |
0.1%
|
|
| 9000 | 14 |
0.9%
|
|
| 9100 | 1 |
0.1%
|
|
| 10000 | 103 |
6.8%
|
|
| 10500 | 1 |
0.1%
|
|
| 11000 | 1 |
0.1%
|
|
| 12000 | 58 |
3.8%
|
|
| 13000 | 11 |
0.7%
|
|
| 14000 | 12 |
0.8%
|
|
| 15000 | 241 |
16%
|
|
| 15600 | 2 |
0.1%
|
|
| 16000 | 21 |
1.4%
|
|
| 16500 | 2 |
0.1%
|
|
| 17000 | 12 |
0.8%
|
|
| 17500 | 2 |
0.1%
|
|
| 18000 | 61 |
4%
|
|
| 20000 | 216 |
14.3%
|
|
| 20800 | 1 |
0.1%
|
|
| 21000 | 4 |
0.3%
|
|
| 22000 | 27 |
1.8%
|
|
| 22500 | 1 |
0.1%
|
|
| 23000 | 1 |
0.1%
|
|
| 24000 | 8 |
0.5%
|
|
| 25000 | 171 |
11.3%
|
|
| 26000 | 2 |
0.1%
|
|
| 27000 | 1 |
0.1%
|
|
| 28000 | 6 |
0.4%
|
|
| 30000 | 134 |
8.9%
|
|
| 32000 | 3 |
0.2%
|
|
| 33000 | 1 |
0.1%
|
|
| 35000 | 41 |
2.7%
|
|
| 36000 | 2 |
0.1%
|
|
| 38000 | 2 |
0.1%
|
|
| 40000 | 59 |
3.9%
|
|
| 42000 | 1 |
0.1%
|
|
| 45000 | 7 |
0.5%
|
|
| 50000 | 38 |
2.5%
|
|
| 60000 | 9 |
0.6%
|
|
| 65000 | 3 |
0.2%
|
|
| 70000 | 10 |
0.7%
|
|
| 80000 | 8 |
0.5%
|
|
| 85000 | 1 |
0.1%
|
|
| 90000 | 1 |
0.1%
|
|
| 100000 | 6 |
0.4%
|
|
| 110000 | 2 |
0.1%
|
|
| 120000 | 2 |
0.1%
|
|
| 150000 | 2 |
0.1%
|
|
| 200000 | 1 |
0.1%
|
|
| 250000 | 1 |
0.1%
|
|
| Sysmiss | 79 |
5.2%
|
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.