{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DIME","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2024-07-25","version":"1"},"project_desc":{"authoring_entity":[{"name":"Akuffo Amankwah","email":"aamankwah@worldbank.org","affiliation":"World Bank"},{"name":"Darcey Jeanne Genou Johnson","email":"djohnson4@worldbank.org","affiliation":"World Bank"},{"name":"Josephine Ofori Adofo","email":"joforiadofo@worldbank.org","affiliation":"World Bank"},{"name":"Maryam Gul","email":"mgul@worldbankgroup.org","affiliation":"World Bank"},{"name":"Amparo Palacios-Lopez","email":"apalacioslopez@worldbank.org","affiliation":"World Bank"}],"output":[{"type":"Working Paper","authors":"Akuffo Amankwah, Darcey Jeanne Genou Johnson, Josephine Ofori Adofo, Maryam Gul, Amparo Palacios-Lopez","title":"Measuring Poverty in Tanzania: Comparison of Diary and Recall Approaches to Food Consumption Data Collection","description":"Policy Research Working Paper (PRWP) 10871","uri":"http:\/\/documents.worldbank.org\/curated\/en\/099815008192411379\/IDU1cb9ca78a12eb6143bb1b2f31c8aed23cfc54","doi":"https:\/\/doi.org\/10.1596\/1813-9450-10871"}],"datasets":[{"name":"Tanzania Household Consumption Methodological Study (2022)","access_type":"The data is forthcoming in the World Bank's Microdata Library. ","uri":"Forthcoming https:\/\/microdata.worldbank.org\/","note":"Source: World Bank. Filenames: ECE Survey Data Instalment 6_original data.dta Located at: Data\/ Filenames: cons_analysis.dta, cons_analysis_item.dta, cons_analysis_day.dta, food_cat_012.dta"}],"title_statement":{"idno":"RR_TZA_2024_174","title":"Reproducibility package for Measuring Poverty in Tanzania: Comparison of Diary and Recall Approaches to Food Consumption Data Collection"},"abstract":"Consumption data from household surveys continue to be the main source for poverty and inequality statistics in low- and middle-income countries. Although recent research has demonstrated that the choice of diary- versus recall-based methods for consumption data collection can directly impact poverty measurement, the available evidence stems from small-scale, subnational survey experiments. This study uses data from a nationally representative randomized survey experiment in Tanzania to provide a comparative assessment of how household consumption and poverty measures may be impacted by relying on a 14-day food consumption diary versus two different variants of 7-day-recall-based food consumption data collection. The analysis reveals significant differences in food consumption expenditures across the diary and recall arms, and these differences result in differences in total consumption expenditures as well. The results further show that the diary method captures more diverse food consumption items, but the overall consumption expenditure appears significantly lower than in the recall arms, even at different percentiles. Despite these disparities, the paper finds little statistically significant difference in poverty rates between the diary and recall arms, even at different thresholds.","geographic_units":[{"name":"Tanzania","code":"TZA","type":"Country"}],"keywords":[{"name":"Food consumption expenditure"},{"name":"Recall design"},{"name":"Diary design"},{"name":"Poverty"},{"name":"Inequality"},{"name":"Tanzania."}],"topics":[{"id":"C83","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","name":"Survey Methods \u2022 Sampling Methods","parent_id":"C8"},{"id":"D12","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","name":"Consumer Economics: Empirical Analysis","parent_id":"D1"}],"language":[{"name":"English","code":"EN"}],"software":[{"name":"Stata","version":"18 MP"}],"scripts":[{"file_name":"RR_TZA_2024_174","zip_package":"RR_TZA_2024_174.zip","title":"Reproducibility package (code) for Measuring Poverty in Tanzania: Comparison of Diary and Recall Approaches to Food Consumption Data Collection","dependencies":"All dependencies are stored in the ado folder.","instructions":"See README in the 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"}],"technology_environment":"Paper exhibits were reproduced in a computer with the following specifications:\n\u2022 OS: Windows 11 Enterprise, version 21H2\n\u2022 Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz, 16 Core(s)\n\u2022 Memory available: 15.7 GB\n\u2022 Software version: Stata 18 MP","technology_requirements":"~10 minutes","reproduction_instructions":"Request access to the data from the World Bank's Microdata Library.\nOnce access is granted, edit the 00_globals do file line 9-11 and 03_run_all_do do file line 7-9 to adjust the default paths.\nRun the 03_run_all_do do file to run all steps in sequence.","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":"Akuffo Amankwah","email":"aamankwah@worldbank.org","affiliation":"World Bank"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"data_statement":"The data will be publicly available in the World Bank's Microdata Catalog but not included in the reproducibility package. For more details, please refer to the README file.","production_date":"2024-08"},"tags":[{"tag":"DOI"}],"schematype":"script"}