{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DIME","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2024-04-05","version":"1"},"project_desc":{"title_statement":{"title":"Reproducibility package for Learning when Schools Shutdown: Impacts of H1N1 Outbreak on Learning Loss and Learning Gaps","idno":"RR_BRA_2024_98"},"reproducibility_status":{"type":"Data: All data sources are publicly available and included in the package . For more details, please refer to the README file; Code: All code files (from cleaning to analysis) are included in the package; Reproducibility verification: Reviewers had access to exactly the same materials included in the public package"},"authoring_entity":[{"name":"Vivian Amorim","affiliation":"Inter-American Development Bank","email":"vamorim@iadb.org"},{"name":"Caio Piza","affiliation":"World Bank","email":"caiopiza@worldbank.org"},{"affiliation":"World Bank","email":"ilautharte@worldbank.org","name":"Ildo Jos\u00e9 Lautharte J\u00fanior"}],"production_date":"2024-04","abstract":"This paper investigates the impacts of school closures on learning outcomes in a Brazilian state during the 2009 H1N1 pandemic outbreak. Using double and triple-difference designs it is shown that a three-week extension of the winter break reduced test scores by 0.18 of a standard deviation, which is equivalent to six to nine weeks of schooling. There is evidence of larger negative impacts at the bottom of the math test score distribution, suggesting that the negative effects were stronger among schools with a higher share of students behind the expected level of proficiency. Finally, consistent with the evidence on school decentralization we find that locally-managed schools were better able to cope with the negative shock compared to state-managed schools.","geographic_units":[{"name":"Brazil","code":"BRA","type":"Country"}],"topics":[{"vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","name":"Cross-Sectional Models \u2022 Spatial Models \u2022 Treatment Effect Models \u2022 Quantile Regressions","parent_id":"C2","id":"C21"},{"vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","name":"Crisis Management","parent_id":"H1","id":"H12"},{"vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","name":"Government Policy \u2022 Regulation \u2022 Public Health","parent_id":"I1","id":"I18"},{"vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","name":"Analysis of Education","id":"I21","parent_id":"I2"}],"language":[{"name":"English","code":"EN"}],"output":[{"type":"Working Paper","description":"Policy Research Working Paper (PRWP) ","authors":"Vivian Amorim, Caio Piza, and Ildo Jos\u00e9 Lautharte J\u00fanior","title":"Learning when Schools Shutdown: Impacts of H1N1 Outbreak on Learning Loss and Learning Gaps"}],"scripts":[{"file_name":"RR_BRA_2024_98.zip","zip_package":"RR_BRA_2024_98.zip","title":"Reproducibility package (data and code) for Learning when Schools Shutdown: Impacts of H1N1 Outbreak on Learning Loss and Learning Gaps","date":"2024-04","description":"The code in this folder generates the tables and figures in the paper \"Learning when Schools Shutdown: Impacts of H1N1 Outbreak on Learning Loss and Learning Gaps\" by Vivian Amorim, Caio Piza, and Ildo Jos\u00e9 Lautharte J\u00fanior","dependencies":"All dependencies are stored in the ado folder contained in the reproducibility package.","instructions":"See README in reproducibility package.","notes":"Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank."}],"repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"datasets":[{"name":"GDP at Municipal Level","note":"Source: Instituto Brasileiro de Geografia e Estat\u00edstica (IBGE). \nLocated at: Raw\/IBGE: base_de_dados_2010_2014.xls, base.xls, popmunic2007layoutTCU14112007.xls. \nStep-by-step instructions on downloading the specific files are included in the README file. ","uri":"https:\/\/www.ibge.gov.br","access_type":"Published with the package"},{"name":"H1N1 Hospitalizations","note":"Source: DataSUS.\nLocated at: Raw\/SUS\/A161451189_28_143_208.csv\nStep-by-step instructions on downloading the specific files are included in the README file. ","uri":"http:\/\/www2.datasus.gov.br\/DATASUS\/index.php","access_type":"Published with the package"},{"name":"Prova Brasil Microdata","note":"Source: Instituto Nacional de Pesquisas Educacionais (INEP).\nLocated at: Raw\/Prova Brasil. \nInstructions: Step-by-step instructions on downloading specific files are provided in the README file. Please note, that the direct download link is here: https:\/\/dados.gov.br\/dados\/conjuntos-dados\/inep-microdados-da-prova-brasil, but this is subject to changes by the Brazilian Government and currently the page is unresponsive. The files available for direct download will be available in the Development Data Hub.\n","uri":"forthcoming https:\/\/datacatalog.worldbank.org\/","access_type":"Public, but not included in the package due to size restrictions. Files will be available to download directly in the Development Data Hub"},{"name":"Flow Indicators","note":"Source: Instituto Nacional de Pesquisas Educacionais (INEP).\nLocated at: Raw\/Rendimiento.\nStep-by-step instructions on downloading the specific files are included in the README file. ","uri":"https:\/\/www.gov.br\/inep\/pt-br","access_type":"Published with the package"},{"name":"Censo Escolar Microdata","note":"Source: Instituto Nacional de Pesquisas Educacionais (INEP). \nLocated: Raw\/Censo Escolar.\nInstructions: Step-by-step instructions on downloading specific files are provided in the README file. Please note, the direct download link is here:https:\/\/www.gov.br\/inep\/pt-br\/acesso-a-informacao\/dados-abertos\/microdados\/censo-escolar, but this is subject to changes by the Brazilian Government, so you can always go to the link below and follow the outlined steps in the README file.\nFile Requirements: Not all files from the Censo Escolar download are necessary for the package to function. The essential files and their directory structure are outlined below:\n\nGeneral Directory Structure: Raw\/Censo Escolar\/[Year]\/DADOS\/\nFor the year 2005: CENSOESC_2005, EDUCPROF_2005, EM22_2005.TXT.\n\nFor the year 2007: TS_DOCENTES_AC, TS_DOCENTES_SP, TS_ESCOLA, TS_MATRICULA_AL, TS_MATRICULA_SP, TS_TURMA.TXT.\n\nFor the years 2008 and 2009: TS_DOCENTES_SP, TS_ESCOLA, TS_MATRICULA_AL, TS_MATRICULA_SP, TS_TURMA.TXT.","uri":"https:\/\/www.gov.br\/inep\/pt-br","access_type":"Public, but not included in the package due to size restrictions. Files can be downloaded in the link below, following the steps in the README file."},{"name":"Education Development Index","note":"Source: Instituto Nacional de Pesquisas Educacionais (INEP). \nLocated: Raw\/IDEB\nStep-by-step instructions on downloading the specific files are included in the README file. ","uri":"https:\/\/www.gov.br\/inep\/pt-br","access_type":"Published with the package"},{"name":"IDESP por Escola","note":"Source: Secretaria da Educa\u00e7\u00e3o do Estado de S\u00e3o Paulo, Governo de S\u00e3o Paulo.\nLocated: Raw\/IDEPSP. \nStep-by-step instructions on downloading the specific files are included in the README file. ","uri":"https:\/\/dados.educacao.sp.gov.br\/dataset\/%C3%ADndice-de-desenvolvimento-da-educa%C3%A7%C3%A3o-do-estado-de-s%C3%A3o-paulo-idesp-por-escola","access_type":"Published with the package"}],"data_statement":"All data used in this study are sourced from publicly available datasets and are included in the reproducibility package. However, due to their large size, the Censo Escolar and Prova Brasil files are not packaged directly. Detailed instructions for downloading these files and integrating them into the package are provided in the README file and the data section.\n","software":[{"name":"Stata","version":"18"}],"technology_environment":"Paper exhibits were reproduced on a computer with the following specifications:\n\u2022 OS: Windows 10 Enterprise, version 21H2\n\u2022 Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz, 16 Core(s)\n\u2022 Memory available: 16.7 GB\n\u2022 Software version: Stata 18","technology_requirements":"~7 hours 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":"Vivian Amorim","affiliation":"Inter-American Development Bank","email":"vamorim@iadb.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"reproduction_instructions":"To successfully replicate this package, new users must follow these steps:\n1. Download the necessary Censo Escolar files as outlined in the Data Section and the README file.\n2. Add the downloaded files to the ' Raw\/Censo Escolar\/[Year]\/DADOS\/' data folder.\n3. Update the file paths in the main '.do' file to reflect the new locations.\n4. Run the main '.do' file to complete the setup.\n"},"tags":[{"tag":"DOI"},{"tag":"Open code"},{"tag":"Open data"}],"schematype":"script"}