{"type":"script","doc_desc":{"producers":[{"name":"Reyes Retana","abbr":"MRR","affiliation":"World Bank","role":"Junior Data Scientist"}],"prod_date":"2023-10-17","version":"1"},"project_desc":{"authoring_entity":[{"name":"Philip Wollburg","email":"pwollburg@worldbank.org","affiliation":"World Bank"},{"affiliation":"World Bank","name":"Thomas Bentze","email":"tbentze@worldbank.org"},{"affiliation":"World Bank","name":"Talip Kilic","email":"tkilic@worldbank.org"}],"output":[{"type":"Working Paper","title":"Economic sentiments and expectations in Sub-Saharan Africa in a time of multiple shocks","authors":"Philip Wollburg, Thomas Bentze, Talip Kilic","description":"Policy Research Working Paper (PRWP) 10604","uri":"http:\/\/documents.worldbank.org\/curated\/en\/099534511142334272\/IDU0aaa58d140265a04ad308d9301eafc488f2cb","doi":"https:\/\/doi.org\/10.1596\/1813-9450-10604"}],"datasets":[{"name":" High-Frequency Phone Survey 2020-2023 - Uganda","uri":"https:\/\/microdata.worldbank.org\/index.php\/catalog\/3765\/get-microdata","access_type":"Published with package and can be accessed through the World Bank Microdata Library. The study used rounds 7 and 8. "},{"name":"National Panel Survey 2018-2019 - Uganda ","access_type":"Published with package and can be accessed through the World Bank Microdata Library. ","uri":"https:\/\/microdata.worldbank.org\/index.php\/catalog\/3795"},{"access_type":"Published with package and can be accessed through the World Bank Microdata Library. ","name":"National Panel Survey 2019-2020 - Uganda","uri":"https:\/\/microdata.worldbank.org\/index.php\/catalog\/3902"},{"name":" High-Frequency Phone Survey 2020-2023 - Nigeria","access_type":"Published with package and can be accessed through the World Bank Microdata Library. The study used rounds 4 and 5. ","uri":"https:\/\/microdata.worldbank.org\/index.php\/catalog\/3712\/get-microdata"},{"uri":"https:\/\/microdata.worldbank.org\/index.php\/catalog\/3557","name":"General Household Survey, Panel 2018-2019 - Nigeria","access_type":"Published with package and can be accessed through the World Bank Microdata Library."},{"uri":"https:\/\/microdata.worldbank.org\/index.php\/catalog\/3766\/","access_type":"Published with package and can be accessed through the World Bank Microdata Library. The study used rounds 8 and 14.","name":" High-Frequency Phone Survey 2020-2023 - Malawi"},{"name":"Integrated Household Panel Survey 2019 - Malawi","uri":"https:\/\/microdata.worldbank.org\/index.php\/catalog\/3819","access_type":"Published with package and can be accessed through the World Bank Microdata Library. "},{"name":" High-Frequency Phone Survey 2020-2023 - Burkina Faso","uri":"https:\/\/microdata.worldbank.org\/index.php\/catalog\/3768","access_type":"Published with package and can be accessed through the World Bank Microdata Library. The study used rounds 13,14 and 15. "},{"uri":"https:\/\/microdata.worldbank.org\/index.php\/catalog\/4290","name":"Enqu\u00eate Harmonis\u00e9e sur le Conditions de Vie des M\u00e9nages 2018-2019 - Burkina Faso","access_type":"Published with package and can be accessed through the World Bank Microdata Library."},{"name":" High-Frequency Phone Survey 2020-2023 - Ethiopia","uri":"https:\/\/microdata.worldbank.org\/index.php\/catalog\/3716","access_type":"Published with package and can be accessed through the World Bank Microdata Library. The study used rounds 14."},{"name":"Socioeconomic Survey 2018-2019 - Ethiopia ","uri":"https:\/\/microdata.worldbank.org\/index.php\/catalog\/3823","access_type":"Published with package and can be accessed through the World Bank Microdata Library."},{"name":"Socioeconomic impacts of COVID-19","note":" The study uses variables extracted from an analysis dataset that was built by Josephson et al. (2021): https:\/\/doi.org\/10.1038\/s41562-021-01096-7 . The code used to extract this dataset is publicly accessible at the link below.  (1.Raw data\/Harmonised HFPS data\/lsms_paneldata.dta)\n","access_type":"Published with package","uri":"https:\/\/github.com\/aljosephson\/wb_covid"},{"name":"Degree of urbanization","uri":"https:\/\/ghsl.jrc.ec.europa.eu\/ghs_smod2019.php","access_type":"Published with package and can be accessed online. However, the data was extracted using confidential sets of coordinates, without offset. Therefore, the results may not yield exact reproducibility upon independent consultation."},{"name":"Inflation","access_type":"Published with package and can be accessed online. Variables used: Headline Consumer Price Index, Food Price Index, Energy Price Index, Official Core Consumer Price Index, Producer Price Index.","uri":"https:\/\/data.imf.org\/?sk=4ffb52b2-3653-409a-b471-d47b46d904b5&sid=1485878855236"},{"name":"Harmonised High-Frequency Phone Surveys data","access_type":"Published with package","note":"Some microdata from waves before those in which the economic sentiments module was implemented were harmonized and saved under the file  (1.Raw data\/Harmonised HFPS data\/dataset_wb_hfps_panel.dta) "}],"software":[{"name":"Stata","version":"17"}],"scripts":[{"file_name":"RR_AFR_2023_24-v01.zip","zip_package":"RR_AFR_2023_24-v01.zip","title":"Reproducibility package (data and code) for Economic sentiments and expectations in Sub-Saharan Africa in a time of multiple shocks","date":"2023-10","software":"Stata","description":"The code in this replication packages constructs the analysis files and tables and figures for \"Economic sentiments and expectations in Sub-Saharan Africa in a time of multiple shocks\" using Stata. One main file runs all of the code to generate the data and figures.","dependencies":"All dependencies are stored in the ado folder in the reproducibility package.","instructions":"See README in reproducibility package.","notes":"Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank."}],"title_statement":{"idno":"RR_AFR_2023_24-v01","title":"Reproducibility package for Economic sentiments and expectations in Sub-Saharan Africa in a time of multiple shocks","identifiers":[{"type":"DOI","identifier":"https:\/\/doi.org\/10.60572\/37bs-dn73"}]},"production_date":"2023-10","abstract":"Against the background of high inflation, climate shocks, and concerns regarding rising food insecurity, this study documents the state of economic sentiments and expectations of households in five African countries that are home to 36 percent of the Sub-Saharan African population. Leveraging nationally representative phone survey data, 57 percent of households across the five countries report that their financial situation and their country\u2019s economic situation have worsened significantly in the last 12 months. While the expectations regarding the future are more positive, there are marked differences across countries that suggest uneven recovery prospects and non-negligible uncertainty regarding the future. Households overwhelmingly report prices to have increased considerably in the past 12 months and expect prices to increase faster, or at the same rate, for the next 12 months. Close to 54 percent of households \u2013 home to 206 million individuals - further expect that climate shocks will have adverse impacts on their finances in the next year. Economic sentiments are closely related to livelihood outcomes such as food insecurity, lack of access to staple foods, income loss, and unemployment, and sentiments regarding the household financial situation, country economic situation, price increases, and climate shocks are also interdependent. Households whose financial situation has worsened in the past year are consistently more pessimistic about their financial future. Food insecure households, in particular, are not only more likely to report worsening financial situation in the recent and pessimism regarding the future, but also more likely to expect to be adversely impacted by climate shocks.","geographic_units":[{"name":"Sub-Saharan Africa","code":"AFR","type":"Region"}],"keywords":[{"name":"Economic sentiments"},{"name":"expectations"},{"name":"shocks"},{"name":"phone surveys"},{"name":"Sub-Saharan Africa"}],"topics":[{"name":"Survey Methods \u2022 Sampling Methods","id":"C83","parent_id":"C8","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel"},{"id":"D84","parent_id":"D8","name":"Expectations \u2022 Speculations","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel"},{"name":"General Welfare, Well-Being","id":"I31","parent_id":"I3","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel"}],"language":[{"name":"English","code":"EN"}],"data_statement":"All data is publicly accessible and included in the reproducibility package. The data folder structure is as follows: there is a 'Raw data' folder containing subfolders for each country, including Burkina Faso, Ethiopia, Malawi, Nigeria, and Uganda. Within these country-specific folders, you will find high-frequency phone survey data and data from the household socioeconomic survey.\nIn addition, you will find the folder Remote sensing, containing the data related to the degree of urbanization, included in the package, and also publicly available. For this dataset, It is important to note that the data was extracted using confidential sets of coordinates without offset. This means that a replicator who wishes to construct the data from scratch may not obtain the same results as the present analysis.\nFinally, you will find two extra folders Inflation, containing publicly available information about consumer indexes and Harmonised high-frequency phone survey data. You will find more information in the README and the individual data entries.","technology_environment":"Paper was reproduced on two computers with the following specifications:\n1. Computer 1:\n\u2013 OS: Windows 11 Enterprise\n\u2013 Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz\n\u2013 Memory available: 15.7 GB\n\u2013 Software version: Stata version 17\n2. Computer 2:\n\u2013 OS: macOS Ventura\n\u2013 Processor: Apple M1\n\u2013 Memory available: 8 GB\n\u2013 Software version: Stata version 18","technology_requirements":"~10min runtime","reproduction_instructions":"A README file with instructions is part of the reproducibility package.","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":[{"affiliation":"World Bank","name":"Thomas Bentze","email":"tbentze@worldbank.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}]},"tags":[{"tag":"DOI"}],"schematype":"script"}