{"type":"script","doc_desc":{"producers":[{"name":"Reyes Retana","abbr":"MRR","affiliation":"World Bank","role":"Junior Data Scientist"}],"prod_date":"2023-11-27","version":"1"},"project_desc":{"title_statement":{"idno":"RR_NGA_2023_35-v01","title":"Reproducibility package for Climate Immobility Traps: A Household-Level Test","identifiers":[{"type":"DOI","identifier":"https:\/\/doi.org\/10.60572\/42nk-j003"}]},"reproducibility_status":{"type":"There are some files that required permission to access, but The package contains all the code and data needed to reproduce all findings in the report."},"authoring_entity":[{"name":"Marco Letta","email":"marco.letta@uniroma1.it","affiliation":"Sapienza University of Rome"},{"name":"Pierluigi Montalbano","affiliation":"Sapienza University of Rome","email":"pierluigi.montalbano@uniroma1.it"},{"name":"Adriana Paolantonio","email":"apaolantonio@worldbank.org","affiliation":"World Bank"}],"production_date":"2023-11","abstract":"The complex relationship between climate shocks, migration, and adaptation hampers a rigorous understanding of the multiple channels that drive the heterogeneous mobility responses of farm households exposed to climate stress. To unpack this heterogeneity, we couple a causal machine learning approach, tailored to a conceptual framework bridging the New Economics of Labor Migration and the poverty traps literature, with longitudinal multi-topic household data from Nigeria. The estimated conditional average treatment effects suggest that some key variables\u2014pre-shock asset levels, in situ adaptive capacity, and cumulative shock exposure\u2014drive not just the magnitude but even the sign of the impact of agriculture-relevant weather anomalies on the (im)mobility outcomes of farming households. While local adaptation acts as a substitute for migration, the amplifying role played by liquidity constraints and repeated shock exposure is consistent with the existence of climate-induced immobility traps.","geographic_units":[{"name":"Nigeria","code":"NGA"}],"keywords":[{"name":"climate migration"},{"name":"immobility traps"},{"name":"adaptation"},{"name":"causal forests"},{"name":"household data"}],"topics":[{"id":"C31","name":"Cross-Sectional Models \u2022 Spatial Models \u2022 Treatment Effect Models \u2022 Quantile Regressions \u2022 Social Interaction Models","parent_id":"C3","vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel"},{"id":"O15","parent_id":"O1","name":"Human Resources \u2022 Human Development \u2022 Income Distribution \u2022 Migration","vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel"},{"id":"Q54","parent_id":"Q5","name":"Climate \u2022 Natural Disasters and Their Management \u2022 Global Warming","vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel"}],"language":[{"name":"English","code":"EN"}],"output":[{"type":"Working Paper","title":"Climate Immobility Traps:  A Household-Level Test","authors":"Marco Letta, Pierluigi Montalbano, Adriana Paolantonio","description":"Policy Research Working Paper (PRWP) 10724","uri":"http:\/\/documents.worldbank.org\/curated\/en\/099733203182440391\/IDU1ff17bb7c1820d14ea71b1a41f7b756657814","doi":"https:\/\/doi.org\/10.1596\/1813-9450-10724"}],"data_statement":"The data employed for this analysis come from two data sources. Uniform Panel Data from Nigeria's General Household Survey (GHS) and Standardized Evapotranspiration Index (SPEI) data developed by Beguer\u00eda et al. (2014). The reproducibility package runs from intermediate data stored in the DataSets folder. While the authors have provided specifications in their README file for constructing this dataset from raw sources, it does not include the code necessary to generate it. For questions regarding data for this package, please contact Marco Letta at marco.letta@uniroma1.it","datasets":[{"name":"Uniform Panel Data from Nigeria's General Household Survey (GHS)","uri":"https:\/\/microdata.worldbank.org\/index.php\/catalog\/5835\/get-microdata","note":"Nigeria National Bureau of Statistics. General Household Survey, Panel (GHS-Panel) 2018-2019. Dataset downloaded from www.microdata.worldbank.org","access_type":"Public and intermediate data published with the package. "},{"name":"Standardized Evapotranspiration Index (SPEI)","uri":"https:\/\/spei.csic.es\/database.html","access_type":"Public and intermediate data published with the package. "},{"name":"Datasets\/dataset.csv","note":"Intermediate data that was created from the two previous sources and used to run the analysis in this reproducibility package. ","access_type":"Published with the package. "}],"methods":[{"name":"Causal Forest "}],"software":[{"name":"Stata","version":"17"},{"name":"R","version":"4.3"}],"scripts":[{"file_name":"RR_NGA_2023_35-v01.zip","zip_package":"RR_NGA_2023_35-v01.zip","title":"Reproducibility package (data and code) for Climate Immobility Traps: A Household-Level Test","date":"2023-11","description":"The code in this folder generates the tables and figures in the paper \"Climate Immobility Traps: A Household-Level Test\u201d by Marco Letta, Pierluigi Montalbano and Adriana Paolantonio.","dependencies":"Stata: All dependencies are stored in the ado folder. \nR: All dependencies are stored in the renv.lock file. ","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 attempted to be reproduced in three computers with the following specifications:\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, R version 4.3.0","technology_requirements":"~7 min runtime","reproduction_instructions":"To run the package, new users only need to change the file paths in the scripts. ","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":"Marco Letta","affiliation":"Sapienza University of Rome","email":"marco.letta@uniroma1.it"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}]},"tags":[{"tag":"DOI"}],"schematype":"script"}