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This dataset contains data for all countries. The individual country level datasets are also available for download from the Microdata Library."},"version_statement":{"version_date":"2026-01-30","version_notes":"Edited, anonymised datasets for public distribution"},"study_info":{"abstract":"This dataset includes Firm-level Adoption of Technology (FAT) survey microdata used in the Technology Sophistication Across Establishments paper by Cirera, Comin, and Cruz (Forthcoming). It combines primary establishment-level data collected by the World Bank in 15 countries: Bangladesh; Brazil (Cear\u00e1, Paran\u00e1, and S\u00e3o Paulo); Burkina Faso; Cambodia; Chile; Croatia; Ethiopia; Georgia; Ghana; India (Uttar Pradesh, Tamil Nadu, Gujarat, and Maharashtra); Kenya; Poland; Senegal; South Korea; and Vietnam. Data implementation was conducted by the World Bank in collaboration with National Statistical Offices (NSOs) and official agencies in various countries. Brazil refers to the states of Cear\u00e1, Paran\u00e1, and S\u00e3o Paulo. India refers to the states of Tamil Nadu, Uttar Pradesh, Gujarat, and Maharashtra.\n\nThe paper studies technology sophistication using a novel approach that measures the sophistication of the most advanced (MAX) and the most widely used (MOST) technologies in each of the key business functions within establishments. Using data from over 21,000 establishments across 15 countries, we find that establishments generally underutilize the most sophisticated technologies available within a business function. These MAX-MOST gaps are persistent and strongly associated with productivity both across establishments and countries. At the establishment level, there is substantial variation in both MAX and MOST, with MOST showing a more skewed distribution. MAX and MOST follow different lifecycle patterns in low-income countries and among small establishments, and they exhibit different associations with several establishment characteristics and performance indicators. This evidence underscores the different nature of the technology upgrading processes that drive MAX and MOST.\n\nThe replicability package for the paper is available at:  https:\/\/reproducibility.worldbank.org\/catalog\/463.","coll_dates":[{"start":"2019-06-01","end":"2023-12-30","cycle":"1"}],"nation":[{"name":"Bangladesh"},{"name":"Brazil"},{"name":"Burkina Faso"},{"name":"Cambodia"},{"name":"Chile"},{"name":"Croatia"},{"name":"Ethiopia"},{"name":"Georgia"},{"name":"Ghana"},{"name":"India"},{"name":"Kenya"},{"name":"Korea, Rep."},{"name":"Poland"},{"name":"Senegal"},{"name":"Viet Nam"}],"geog_coverage":"Bangladesh; Brazil (Cear\u00e1, Paran\u00e1, and S\u00e3o Paulo); Burkina Faso; Cambodia; Chile; Croatia; Ethiopia; Georgia; Ghana; India (Uttar Pradesh, Tamil Nadu, Gujarat, and Maharashtra); Kenya; Poland; Senegal; South Korea; and Vietnam. Brazil refers to the states of Cear\u00e1, Paran\u00e1, and S\u00e3o Paulo. 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The mode of data collection was primarily face-to-face before the pandemic and mostly via telephone during the pandemic.","weight":"Appendix A4 of Cirera, X., Comin, D., & Cruz, M. (Forthcoming) provides detailed information about the sampling weights.","cleaning_operations":"The description of the data processing is provided in the paper, along with the dictionary for each variable included in the dataset.  \n\nAdditional information for each country will be provided in a complementary document, as part of the \"The Firm-level Adoption of Technology (FAT) Survey\" project."},"analysis_info":{"response_rate":"Bangladesh 30%\nBrazil 39%\nBurkina Faso 45%\nCambodia 16%\nChile 40%\nCroatia 15%\nEthiopia 42%\nGeorgia 86%\nGhana 49%\nIndia 49%\nKenya 77%\nKorea 24%\nPoland 47%\nSenegal 57%\nVietnam 80%\nAverage across countries 46%","data_appraisal":"Section 2 of Cirera, X., Comin, D., & Cruz, M. 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The Quarterly Journal of Economics.","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."}}},"tags":[{"tag":"DOI"}],"schematype":"survey","data_files":[{"file_id":"F1","file_name":"fat0_raw_data_qje","description":"Firm-level Adoption of Technology (FAT) dataset: This is the main microdata with the variables from the Firm-level Adoption of Technology (FAT) survey used in the paper - Technology Sophistication Across Establishments.","case_count":21055,"var_count":723,"producer":null,"data_checks":null,"version":null,"notes":null,"metadata":null},{"file_id":"F2","file_name":"isic_data","description":"ISIC Rev. 4 sector classification 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