{"doc_desc":{"idno":"DDI_PAK_2020-2022_SMSG-IE_v01_M_WB","producers":[{"name":"Development Economics Data Group","abbr":"DECDG","affiliation":"The World Bank","role":"Documentation of the study"}],"prod_date":"2026-11-05","version_statement":{"version":"Version 01 (November 2026)","version_date":"2026-11-05"}},"study_desc":{"title_statement":{"idno":"PAK_2020-2022_SMSG-IE_v01_M","title":"SMS Girl Impact Evaluation 2020-2022","sub_title":"Sending Messages about Schooling: Gender Innovation for Re-enrollment and Learning","alternate_title":"SMSG-IE 2020-2022"},"authoring_entity":[{"name":"Koen Martijn Geven","affiliation":"The World Bank"}],"oth_id":[{"name":"School Education Department (SED)","affiliation":"","email":"","role":""},{"name":"Punjab Information Technology Board (PITB)","affiliation":"","email":"","role":""}],"production_statement":{"producers":[{"name":"Tazeen Fasih","abbr":"","affiliation":"The World Bank","role":""},{"name":"Amer Hasan","abbr":"","affiliation":"The World Bank","role":""},{"name":"Javaeria Qureshi","abbr":"","affiliation":"University of Illinois at Chicago","role":""},{"name":"Ayesha Tahir","abbr":"","affiliation":"The World Bank","role":""},{"name":"Kevin Alan Macdonald","abbr":"","affiliation":"The World Bank","role":""},{"name":"Sheena Fazili","abbr":"","affiliation":"The World Bank","role":""},{"name":"Najaf Zahra","abbr":"","affiliation":"The World Bank","role":""},{"name":"Naveed Hussain","abbr":"","affiliation":"The World Bank","role":""},{"name":"Rabea Malik","abbr":"","affiliation":"Institute of Development and Economic Alternatives; Lahore University of Management Sciences (LUMS)","role":""},{"name":"Rohit Chhabra","abbr":"","affiliation":"The World Bank","role":""}],"funding_agencies":[{"name":"SIEF COVID-19 Emergency Window","abbr":"SIEF","role":"Financial and Technical Supporter"},{"name":"South Asia Gender Innovation Lab","abbr":"GIL","role":"Financial and Technical Supporter"}]},"distribution_statement":{"contact":[{"name":"EduAnalytics","affiliation":"The World Bank","email":"eduanalytics@worldbank.org","uri":"https://www.worldbank.org/ext/en/topic/education"},{"name":"Strategic Impact Evaluation Fund","affiliation":"The World Bank","email":"siefimpact@worldbank.org","uri":"https://www.worldbank.org/en/programs/sief-trust-fund"}],"depositor":[{"name":"Sheena Fazili","abbr":"","affiliation":"The World Bank","uri":""}],"deposit_date":"2021-03-17"},"series_statement":{"series_name":"Other Household Survey [hh/oth]","series_info":"The SMS Girl Impact Evaluation tracked 5,898 families in six districts of Punjab, Pakistan (Attock, Faisalabad, Lahore, Muzaffargarh, Rahim Yar Khan, Sargodha) through five rounds of phone contact between August 2020 and January 2022. \n\nThe five contacts: Round 0, baseline (August-October 2020), fielded during school closures before the messages started. A midline fielded December 2020-January 2021, during the second school closure, whose data could not be used (dropped; see Deviations from Sample Design). Round 1 (February-March 2021), fielded while schools had temporarily reopened (February 2021), measuring re-enrollment and children's time use. Round 2 (September-October 2021), fielded after schools reopened in phases over August-September 2021, measuring re-enrollment and time use (\"Endline\" in variable labels refers to this round). Round 3 (December 2021-January 2022), fielded once schools had permanently reopened, measuring re-enrollment and learning through a short phone-based Urdu and mathematics assessment; this round provides the paper's main outcomes. \n\nAll rounds were computer-assisted telephone interviews (CATI). A separate qualitative component (three rounds of semi-structured phone interviews with 72 households, conducted by researchers at IDEAS, the Institute of Development and Economic Alternatives) is not part of this study. The panels are used in the working paper \"Nudging at Scale: Evidence from a Government Text Messaging Campaign during School Shutdowns in Punjab, Pakistan\"."},"version_statement":{"version":"Version 2.0 (August 2026) \u2014 De-identified analysis panels covering rounds 0-3 (2020-2022).","version_date":"2026-08-18"},"study_info":{"keywords":[{"keyword":"Education","vocab":"","uri":""},{"keyword":"Gender","vocab":"","uri":""},{"keyword":"Text messages","vocab":"","uri":""},{"keyword":"COVID-19","vocab":"","uri":""},{"keyword":"Parenting","vocab":"","uri":""},{"keyword":"Remote learning","vocab":"","uri":""},{"keyword":"Pakistan","vocab":"","uri":""}],"abstract":"The Government of Punjab, in collaboration with the World Bank, has launched an intervention to try to limit girls\u2019 dropout due to the school closures necessitated by COVID-19 and to ensure continued learning. The intervention consists of a series of text messages sent to the household\u2019s cell phone. The messages are intended as a tool to keep girls learning during alternate days when schools are closed. Messages were designed to inform parents about remote learning resources, learning activities at home parents can engage their kids in, the returns to schooling in order to encourage continued enrollment, and the availability of a stipend program for girls in grades 6-10. Each family was tracked around one index child: 5,362 girls enrolled in grades 5-7 before the pandemic, plus a comparison group of 536 boys.","coll_dates":[{"start":"2020-08-21","end":"2020-10-27","cycle":"0 (baseline)"},{"start":"2020-10-13","end":"2021-01-15","cycle":"Dropped midline"},{"start":"2021-02-16","end":"2021-03-12","cycle":"Round 1"},{"start":"2021-09-18","end":"2021-10-12","cycle":"Round 2"},{"start":"2021-12","end":"2022-01","cycle":"Round 3"}],"nation":[{"name":"Pakistan","abbreviation":"PAK"}],"geog_coverage":"6 districts of Punjab Province - Muzaffargarh, Rahimyar Khan, Attock, Faisalabad, Lahore and Sargodha.","analysis_unit":"Student, school","universe":"Among the schools drawn from the 6 districts of Punjab Province covered in the study, parents/guardians of students in grades 5-7 were surveyed. The surveyed population is parents/guardians of girls enrolled in grades 5-7 in Punjab before the pandemic, with a comparison subsample of boys&apos; families (536 boys in 535 schools, roughly one per school).","data_kind":"Sample survey data [ssd]","notes":"Student: Student characteristics, level of academic engagement\nHousehold: Asset index\nParent: Expectations about student learning, plans to send kids back to school, etc."},"method":{"data_collection":{"data_collectors":[{"name":"RCons","abbr":"","role":"","affiliation":""}],"sampling_procedure":"Two sampling frames were used to select girls for the study: the 2018 SABER School Survey Baseline (Sampling Frame 1) and a list of phone numbers of girls believed to be representative of the population for public schools in Muzaffargarh and Rahimyar Khan districts, provided by Program Monitoring and Implementation Unit, School Education Department, Punjab (Sampling Frame 2). \n\nSampling Frame 1, the SABER School Survey baseline, was a representative survey of 4th grade students in Punjab, carried out in six districts in 2018.  This dataset contains detailed information about students including test scores and parental background. It includes mobile phone numbers for parents for whom this information was held at the school at the time of the survey. SABER SD surveyed 21,530 students from 812 schools in early 2018 during the first wave of data collection (an additional 65 schools which were sampled erroneously, and a second wave of data collection was done for 200 schools among the 812 correctly sampled schools). Among these 812 schools, 10,206 were girls (in 645 schools), and, of those, 8,422 (in 565 schools) had a mobile phone number for their parent that was not zero or missing. \n\nSampling Frame 2 consisted of 93,990 students\u2019 phone numbers in 518 schools. The list was provided by the Government of Punjab and included students enrolled in public schools in Muzaffargarh and Rahimyar Khan districts. These numbers included students from various grades, therefore additional verification questions were added in the baseline questionnaire (for this sampling frame) to ensure that only parents of the girls enrolled in government schools in grades 5 to 7 would be surveyed. It was done to ensure that the girls in Sampling Frame 2 match those in Sampling Frame 1. This sampling frame does not contain information as detailed as the SABER dataset, which included information on students, including test scores and parental background.  The resulting population of our study are girls that were included in the SABER survey target population as well as girls outside of that population whose phone numbers were provided by the government for Muzaffargarh and Rahimyar Khan districts. We also called up 2,400 boys using Sampling Frame 1. Out of which, we interviewed 536 boys' parents to have information for comparison purposes. The SABER School Survey baseline was a representative survey of 4th-grade students in Punjab and conducted in 2018 so that suggests that the population for sample 1 includes girls in grades 5-7. Analysis of the baseline data for sample 2 suggests that the population for sample 2 includes girls in grades 5-7. \n\nFollow-up rounds. No new sample was drawn after the baseline. In each follow-up survey round the survey firm attempted to re-contact all 5,898 baseline families (girls' and boys' families); round 3 re-contacted the girls' sample only. Round 1 (Feb-Mar 2021): 4,080 girls' families (76% of the 5,362) and 403 boys' families (75% of the 536) completed \u2014 4,483 households in total. Round 2 (Sep-Oct 2021): 3,857 households (65%), of which 3,536 girls' (66%) and 321 boys' (60%). Round 3 (Dec 2021-Jan 2022): girls only; data were collected on 2,475 girls (46%) and 2,098 completed the full round. The paper's analytical sample is the 2,098 girls who completed the full round 3 survey; all of them also have non-missing values on the two baseline controls that showed imbalance \u2014 hhsize (\"Number of children in the household\") and edu_mother (mother's education). The 536 boys were surveyed for descriptive comparison only; they were not randomized into treatment and are not in the analytical sample.\n\nMore details can be found in the \"Nudging at Scale: Evidence from a Government Text Messaging Campaign during School Shutdowns in Punjab, Pakistan\" paper, available to download.","sampling_deviation":"One planned follow-up was dropped. A midline survey was fielded October 2020-January 2021 (main fieldwork 13 October-22 November 2020, plus a shortened-tool re-contact 4-15 January 2021 during the second school closure); 4,215 households completed the interview \u2014 3,872 girls' and 343 boys' families. The data from this round could not be used and are excluded from the working paper and from the panels.","coll_mode":["Computer Assisted Telephone Interview [cati]"],"research_instrument":"One CATI instrument per round was developed in English and administered in Urdu: (1) the round 0 baseline questionnaire (sections A-E: consent and call outcomes; re-enrollment and distance learning; child roster; support programs, expectations, and COVID shocks; assets and text literacy); (2) the round 1 questionnaire (Midline Survey_R2 instrument); (3) the round 2 questionnaire (Endline Survey, version 4), in two variants (schools open / schools closed); and (4) the round 3 instrument (PhoneAssesment, version 3), which combines a short household module with the phone-based Urdu and mathematics assessment. These survey instruments are provided in English and are available to download. \n\nThe dropped midline's instruments are not included because that round's data are withdrawn.","coll_situation":"The baseline survey activity was coordinated by a team of researchers based in Washington DC, while a research firm (RCons) in Lahore, Punjab was contracted to implement the survey. The coordinators of the survey firm had previously been involved in the SABER Service Delivery (SD) survey and were familiar with the details of the survey and had also worked in close coordination with the School Education Department Punjab. The survey firm developed the software for data collection and carried out the enumerator trainings. \n\nRCons (Lahore) carried out the baseline survey activity from 21st August 2020 to 27th October 2020. Data was collected in phases and the second round of the baseline data collection was delayed due to operational issues. The phone-based survey data were collected from a total of 5,898 families, including 5,362 girls\u2019 families and 536 boys\u2019 families. The data was collected across six districts in Punjab, including Attock, Faisalabad, Lahore, Muzaffargarh, Rahimyar, and Sargodha. A team composed of 30 enumerators, 5 quality checkers, and 3 supervisors, collected the phone-based data at 2 calling stations. One team worked exclusively from Faisalabad, and the other team was deployed to Bahawalpur.\n\nData were collected electronically using a custom-made survey software on android tablets, enabling RCons and the World Bank team to monitor data on a rolling basis. Multiple teams within the World Bank who have worked or are working on Computer-Assisted Telephone Interviewing (CATI) were consulted to develop the baseline survey tool. The questionnaire focused on re-enrolment decisions, child roster, time use of children in the house, parental knowledge about distance learning programs, and other programs that support re-enrollment, household ownership of assets, parental expectations, shocks experienced during COVID, and text literacy of the primary respondent. \n\nDropped midline (October 2020-January 2021). RCons (Lahore) re-contacted the baseline families by phone (CATI on Android tablets, as in all rounds); 4,215 households completed the interview \u2014 3,872 girls' and 343 boys' families. The round ran in three sub-waves. An initial batch of 1,251 girls' interviews (13-17 October 2020) used version 1 of the questionnaire, whose modules on the government SMS campaign, the Zewar-e-Taleem stipend, and the Taleem Ghar/Tele School remote-learning programs collected real data. The main wave used version 2 \u2014 girls 31 October-17 November 2020 (2,621 completed), boys 18-22 November 2020 (343 completed) \u2014 which replaced those modules with a roster of the children in the household and covered re-enrollment intentions and status, access to remote learning, and children's time use. A shortened tool then re-contacted the October batch (1,021 of the 1,251) on 4-15 January 2021, during the second school closure, to collect the child roster that version 1 lacked. The data from this round could not be used: it is excluded from the working paper and from the panels. A pilot preceded the round, and a World Bank-contracted field coordinator in Lahore supported training, translation, and quality monitoring throughout \u2014 this held for every round.\n\nRound 1 (February-March 2021). Fielded by RCons while schools had temporarily reopened (February 2021); 4,080 girls' and 403 boys' families completed it \u2014 4,483 households in total. The questionnaire measured actual re-enrollment after reopening, school attendance, receipt of government messages, time use (remote learning, other study, tutoring, chores, paid and unpaid work, care work), and parental expectations. Variables from this round carry the suffix _r1.\n\nRound 2 (September-October 2021). Fielded by RCons after schools reopened in phases over August-September 2021 (the instrument asks about re-enrollment since the August reopening); 3,857 households completed it. Two versions of the instrument were prepared, one for children whose schools were open and one for schools still closed. Sections covered consent and call outcomes, re-enrollment decisions and reasons for dropout, take-up of the treatment text and voice messages, child time use, and a child roster. Variables from this round carry the suffix _r2.\n\nRound 3 (December 2021-January 2022). The final round, fielded by RCons like all the others, returned to the girls' sample once schools had permanently reopened. Alongside re-enrollment questions, enumerators administered a short phone-based assessment of Urdu and mathematics to the sampled girls. Data were collected on 2,475 girls; 2,098 completed the full round. Scores are deposited as standardized totals (zurdu_total_r3, zmath_total_r3). Variables from this round carry the suffix _r3.\n\nCaution on variable labels. Variable labels that say \"Endline\" refer to round 2 (September-October 2021) \u2014 for example, reenrolled_r2 is labelled \"Re-enrolled at Endline\". A few round 3 score labels also carry the word \"Endline\". The round a variable belongs to is identified by its _r suffix and by the round column of the variable crosswalk, which is authoritative \u2014 not by the label text.\n\nMore details can be found in the \"Nudging at Scale: Evidence from a Government Text Messaging Campaign during School Shutdowns in Punjab, Pakistan\" paper, available to download.","weight":"Inverse selection probability weighting is used in complex survey analysis to provide unbiased estimates of totals (e.g.: Horvitz &amp; Thompson 1952). Weights were drawn to balance representation from public schools in the survey.\n\nThe deposited panels carry six primary weights \u2014 w_stu_r0 (student-level baseline weight), w_stu_t0_cscore (baseline student weight with response rate conditioned on SABER test score), w_stu_345 (main weight for outcomes measured across survey rounds), w_stu_endassess (main weight for round 3 outcomes), w_stu_t0_boy (boys' comparison weight), and w_sch_r0 (school-level baseline weight) \u2014 plus four merge-duplicate/boys'-frame variants (w_stu_t0_r0, w_stu_t0_cscore_r0, w_stu_t0_cscore_boy, w_sch_t0_boy) documented in the crosswalk.","cleaning_operations":"Data editing took place at a number of stages throughout the processing, including: \n\n1. During data entry (by survey firm)\n2. Structure checking and completeness (by survey firm)\n3. Structural checking and cleaning using STATA by data analysts (World Bank)"},"method_notes":"Data were processed in sections consistent with the questionnaire, with each section being processed as a complete unit through each stage of data processing. Each section goes through the following steps:\n\n1. Questionnaire reception\n2. Office editing and coding\n3. Data entry\n4. Structure and completeness checking\n5. Verification entry\n6. Comparison of verification data\n7. Back up of raw data\n8. Secondary editing\n9. Edited data backup\n10. After all sections are processed, all data is concatenated together and then the following steps are completed for all data files:\n\n1. Export to STATA in separate files per section\n2. Recoding of variables needed for analysis\n3. Adding of sample weights\n4. Calculation of wealth/asset quintiles and merging into data\n5. Structural checking of STATA files\n6. Data quality and balance test tabulations\n7. Production of analysis","analysis_info":{"response_rate":"Round 0, baseline (Aug-Oct 2020): 14,120 phone numbers were called (11,720 girls', 2,400 boys'); 5,898 families consented and completed the survey, a full completion rate of 41.8 percent. Follow-up rounds re-contacted the 5,898 baseline families. Completion rates: dropped midline (Oct 2020-Jan 2021), 71 percent (4,215: 3,872 girls' and 343 boys' families; data not used); round 1 (Feb-Mar 2021), 76 percent (4,483: 4,080 girls' and 403 boys' families, of which 4,400 are complete interviews and 83 partial, flagged in the data); round 2 (Sep-Oct 2021), 65 percent (3,857; girls 66 percent, boys 60 percent). In round 2, 4,053 of the 5,362 girls' numbers were picked up and 3,536 completed; 377 of the 536 boys' numbers were picked up and 321 completed. In round 3 (Dec 2021-Jan 2022), data were collected on 2,475 girls (46 percent of baseline girls) and 2,098 (39 percent) completed the full round. Call-level disposition breakdowns (no answer, invalid number, refusal) are documented for rounds 0 and 2 only.","data_appraisal":"Computational reproducibility of the working paper was verified by the World Bank's DECDI Analytics team (verification report RR_PAK_2025_483, https://reproducibility.worldbank.org/index.php/catalog/425). The replication package was additionally re-run on the de-identified panels; all output tables are identical to the run on the original files."}},"data_access":{"dataset_availability":{"access_place":"World Bank Microdata Library","access_place_url":""},"dataset_use":{"conf_dec":[{"txt":"The deposited files contain no direct identifiers and no open-text fields. School names, EMIS codes, and text district variables were removed; school codes and within-school student IDs were randomly re-encoded; the files were verified to contain a labelled, closed set of analysis variables only. Some re-identification risk remains from small cells: in panel_data_all, 390 of the 1,202 school cells contain fewer than 3 sampled students; in panel_data_R3_with012, 483 of 824. District, school type, and urban/rural location are retained because the published analysis needs them.","required":"true","form_no":"","form_uri":""}],"contact":[{"name":"Microdata Library","affiliation":"The World Bank","email":"microdata@worldbank.org","uri":"https://microdata.worldbank.org/home"},{"name":"Strategic Impact Evaluation Fund","affiliation":"The World Bank","email":"siefimpact@worldbank.org","uri":"https://www.worldbank.org/en/programs/sief-trust-fund"}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n\u2022the identification of the Primary Investigator\n\u2022the title of the survey (including country, acronym and year of implementation)\n\u2022the survey reference number\n\u2022the source and date of download\n\nExample:\nKoen Martijn Geven (The World Bank). Pakistan - SMS Girl Impact Evaluation 2020-2022. Ref: PAK_2020-2022_SMSG-IE_v01_M. Dataset downloaded from [URL] on [date].","conditions":"Licensed Access","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"schematype":"survey","tags":[{"tag":"DOI"}],"type":"survey","data_files":[{"file_id":"F1","file_name":"panel_data_all","description":"Data-file that is used for attrition analysis (Tables 4-5). This dataset includes also the baseline data on respondents.","case_count":5898,"var_count":138,"producer":null,"data_checks":null,"version":null,"notes":null,"metadata":null},{"file_id":"F2","file_name":"panel_data_r3_with012","description":"Data-file that is used for the main analysis. 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