{"doc_desc":{"title":"Forecast based Financing in Nepal\/Bangladesh","producers":[{"name":"Development Data Group","abbr":"DECDG","role":"Documentation of the study","affiliation":"World Bank Group"}],"prod_date":"2025-10-08T04:00:00.000Z","idno":"DDI_NPL_2022_FBAAIE_v01_M","version_statement":{"version":"Version 01 (October 2025)"}},"study_desc":{"title_statement":{"idno":"NPL_2022_FBAAIE_v01_M","title":"Forecast Based Anticipatory Action Impact Evaluation 2022-2023","alternate_title":"FBAAIE 2022"},"authoring_entity":[{"name":"Paul Christian","affiliation":"World Bank"}],"production_statement":{"producers":[{"name":"Felipe Dunsch","affiliation":"WFP","role":"Principal Investigator"}],"funding_agencies":[{"name":"World Food Program","abbr":"WFP","role":"Implementer"}],"grant_no":"OEV"},"distribution_statement":{"contact":[{"name":"Paul Christian","affiliation":"World Bank","email":"pchristian@worldbank.org"}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"World Food Program \u2013 with funding from the United Nations Central Emergency Response Fund (UN CERF) and coordination support by the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) has implement anticipatory action (cash transfers) to address severe monsoon flooding in the Kailali and Bardiya districts of Nepal in 2022. WFP's Office of Evaluation has conducted an impact evaluation of these transfers with technical support from World Bank's Development Impact Group (DIME). This documentation includes the data collected from 3 rounds of in-person interviews with program beneficiaries."},"version_statement":{"version_date":"2025-10-01","version_notes":"The datasets include sampling, randomization results and secondary flood analysis files that are needed to replicate the figures and tables in the working paper."},"study_info":{"abstract":"This study was conducted by the World Food Program's Office of Evaluation unit, with technical assistance from World Bank's DECDI unit. The study randomized the timing of physical cash transfers to households living in flood affected districts of Nepal in October 2022. There are 2 arms, with the first arm receiving the transfers right after the flood peaked and the remaining arm receiving transfers after 1-month. The flood peak was predicted by Nepal's Department of Hydrology and Meteorology, and after flood forecast intensity met the criteria set out by WFP's country office. The physical cash transfers were provided to households via local remittance agents. WFP's Nepal Country Office hired enumerators to conduct the surveys with respondents after each tranche of payments. The survey questionnaire covers food security, psychological wellbeing and coping strategies households utilized after the floods. All three rounds of surveys were conducted in-person. The results are published in the World Bank working paper series. The funding for this data collection was provided by the World Food Program's Office of Evaluation and USAID.","coll_dates":[{"start":"2022-11-04","end":"2022-11-13","cycle":"Round 1"},{"start":"2023-01-10","end":"2023-01-27","cycle":"Round 2"},{"start":"2023-05-29","end":"2023-06-14","cycle":"Round 3"}],"nation":[{"name":"Nepal","abbreviation":"NPL"}],"geog_coverage":"Flood prone households in Karnali and Bardiya districts of Nepal","analysis_unit":"- Household","data_kind":"Sample survey data [ssd]","notes":"The study covers the following main topics: \n- Food Security\n- Coping Strategies\n- Psychological Wellbeing\n- Agriculture\n- Migration\n- Food expenditures"},"method":{"data_collection":{"coll_mode":["Computer Assisted Personal Interview [capi]"],"research_instrument":"SurveyCTO forms from each round are included in the submission.","coll_situation":"All 3 rounds conducted using SurveyCTO and in-person interviews.","act_min":"DIME has conducted high frequency data quality checks in all 3 rounds.","sampling_procedure":"The list of potential beneficiaries was provided by WFP's Nepal country office. Out of which villages sized 15-70 households were selected. There are 138 total villages in the sample, with 70 control and 68 treatment villages. The average number of households randomly sampled per village is 17.","sampling_deviation":"We originally had 140 villages in the study, but two villages had to be dropped due to enumerator travel safety concerns."},"analysis_info":{"response_rate":"The response rates were as follows: 88% for Round 1, 91% for Round 2, and 93% for Round 3."}},"data_access":{"dataset_use":{"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.","contact":[{"name":"Paul Christian","affiliation":"World Bank","email":"pchristian@worldbank.org"}]}}},"schematype":"survey","tags":[{"tag":"DOI"}]}