{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DIME","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2024-08-15","version":"1"},"project_desc":{"authoring_entity":[{"name":"Dante Donati","affiliation":"Columbia Business School","email":"dd3137@gsb.columbia.edu"},{"name":"Nandan Rao","affiliation":"Virtual Lab and UAB","email":"nandan.rao@barcelonagse.eu"},{"name":"Victor Orozco-Olvera","affiliation":"World Bank","email":"vorozco@worldbank.org"},{"name":"Ana Maria Mu\u00f1oz-Boudet","affiliation":"World Bank","email":"amunozboudet@worldbank.org"}],"output":[{"type":"Working Paper","description":"Policy Research Working Paper (PRWP) 10967","title":"Can Facebook Ads Prevent Malaria? Two Field Experiments in India","authors":"Dante Donati, Nandan Rao, Victor Orozco-Olvera, Ana Maria Mu\u00f1oz-Boudet","uri":"http:\/\/documents.worldbank.org\/curated\/en\/099503111052435137\/IDU135b5005d13a43148e91ad3c16d50d6ae54f8","doi":"https:\/\/doi.org\/10.1596\/1813-9450-10967"}],"datasets":[{"name":"Indian Health Data","note":"Source: Indian Health Management Information System (HMIS). \nLocated at: Chhattisgarh2020_2021, Chhattisgarh2021_2022, Jharkhand2020_2021, Jharkhand2021_2022,   UttarPradesh2020_2021, UttarPradesh2021_2022, subdistricts_feature.dta. \nNote: The data used were originally obtained from the Indian Health Management Information System (HMIS) website, which is now inaccessible. The HMIS data are currently available through the Open Government Data Platform India, but the format of the data has changed (Links below).\nIt is important to note, that since the data format has changed, the code will not run with the current version of the data without adaptation. The provided code will run with the included data files in the package.\nRefer to the README for further details.","access_type":"Published with the package","uri":"Chhattisgarh: https:\/\/www.data.gov.in\/catalog\/indicator-wise-monthly-datasets-sub-district-level-hmis-chhattisgarh, Jharkhand: https:\/\/www.data.gov.in\/catalog\/indicator-wise-monthly-datasets-sub-district-level-hmis-jharkhand, Uttar Pradesh: https:\/\/www.data.gov.in\/catalog\/indicator-wise-monthly-datasets-sub-district-level-hmis-uttar-pradesh","license":"Government Open Data License - India","license_uri":"https:\/\/ap.data.gov.in\/godl#Definitions_a"},{"name":"Malaria Survey Data","note":"Located at: 01_RawData\/full_panel.csv, individual_effect.csv, xsection.csv and base-cities.csv. \nThese datasets were created by the research team based on survey data collected from individuals. They will be made available in the Microdata Library in the upcoming months.","access_type":"Published with the package","uri":"Forthcoming at https:\/\/microdata.worldbank.org"}],"software":[{"name":"Stata","version":"18 MP"}],"scripts":[{"file_name":"RR_IND_2024_180.zip","zip_package":"RR_IND_2024_180.zip","title":"Reproducibility package (data and code) for Can Facebook Ads Prevent Malaria? Two Field Experiments in India","date":"2024-08","dependencies":"All dependencies are stored in the ado folder. ","instructions":"See README in reproducibility package.","notes":"Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank."}],"title_statement":{"idno":"RR_IND_2024_180","title":"Reproducibility package for Can Facebook Ads Prevent Malaria? Two Field Experiments in India"},"acknowledgment_statement":"We thank our study partners at Facebook\u2019s Campaigns for a Healthier World initiative and Upswell, in particular Nisha Deolalikar, Sarah Francis, and Drew Bernard. We also thank Malaria No More for their collaboration. We are grateful to attendees at CEGA-DIME Measuring Development Conference, Centro de Investigacion y Docencia Economicas seminar, Columbia Business School seminar, Marketing Science Annual Conference, Marketing Science DEI Conference, MIT\u2019s Annual Conference on Digital Experimentation, Quantitative Marketing and Economics Conference, SSRC Workshop on the Economics of Social Media, Universitat Autonoma de Barcelona seminar, and Yale School of Management seminar. The research received ethical clearance from Columbia University IRB (AAAU6317). All errors are our own.","production_date":"2024-08","abstract":"We use a cluster randomized controlled trial to evaluate the impact of a nationwide malaria- prevention advertising campaign delivered through social media in India. We randomly assign ads at the district level and rely on data from two independently recruited samples (N=8,257) and administrative records. Among users residing in solid (concrete) dwellings, where malaria risk is lower, the campaign led to an 11% increase in mosquito net usage and a 13% increase in timely treatment seeking. Self-reported malaria incidence decreased by 44%. Consistently, recorded health facility data indicate a reduction in urban monthly incidence of 6.2 cases per million people, corresponding to 30% of the overall malaria monthly incidence rate. Conversely, we find no impact on households living in non-solid dwellings, which face higher malaria risk, nor among rural settlements where such dwellings are more prevalent. To disentangle if this lack of impact stems from ineffective content or insufficient reach, we conduct an individual-level trial (N=1,542) ensuring campaign exposure for both household types. Our findings indicate an increase in bed net usage and timely treatment seeking for both groups, underscoring the need for improved targeting in social media campaigns to fulfill public health goals.","geographic_units":[{"name":"India","code":"IND","type":"Country"}],"language":[{"name":"English","code":"EN"}],"repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"technology_environment":"Paper exhibits were reproduced on a computer with the following specifications:\n\u2022 OS: Windows 10 Enterprise\n\u2022 Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz   2.90 GHz  (2 processors)\n\u2022 Memory available: 32 GB\n\u2022 Software version: Stata 18 MP","technology_requirements":"~10 minutes runtime","disclaimer":"The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development\/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.","license":[{"name":"Modified BSD3","uri":"https:\/\/opensource.org\/license\/bsd-3-clause\/"}],"contacts":[{"name":"Dante Donati","affiliation":"Columbia Business School","email":"dd3137@gsb.columbia.edu"},{"name":"Reproducibility WBG","email":"reproducibility@worldbank.org","affiliation":"World Bank"}],"data_statement":"All data sources are publicly available and included in the reproducibility package. However, the version of the data used in this paper is no longer available in the same format as it was downloaded in May 2023. Please refer to the README and the data entry below for more details.","reproduction_instructions":"To reproduce the results in this package, new users must first download the reproducibility package. Then, they should open the 00_Master.do file and update the file paths to match their directory structure. Once the paths are correctly set, users can run the code in 00_Master.do to replicate the results from the original analysis."},"tags":[{"tag":"DOI"}],"schematype":"script"}