{"type":"survey","doc_desc":{"title":"NER_2017-2020_ASPIE_v01_M","idno":"DDI_NER_2017-2020_ASPIE_v01_M_WB","producers":[{"name":"Development Economics Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Documentation of the DDI"}],"prod_date":"2022-02-11","version_statement":{"version":"Version 01 (February 2022)"}},"study_desc":{"title_statement":{"idno":"NER_2017-2020_ASPIE_v01_M","title":"Adaptive Safety Nets Program 2017-2020","sub_title":"Baseline, Midline and Endline Impact Evaluation Surveys","alt_title":"Niger ASP 2017-2020"},"authoring_entity":[{"name":"Patrick Premand","affiliation":"World Bank"}],"oth_id":[{"name":"Sahel Consulting","affiliation":"Private","email":"","role":"Collected baseline data"},{"name":"Innovations for Poverty Action","affiliation":"","email":"","role":"Supervised baseline and midline data collection "}],"production_statement":{"copyright":"(c) 2022, The World Bank","funding_agencies":[{"name":"Sahel Adaptive Social Protection Program","abbreviation":"Sahel ASPP","role":"Funded survey data collection"},{"name":"WPF","abbreviation":"","role":"Funded survey data collection"},{"name":"Niger Adaptive Safety Nets Project","abbreviation":"","role":"Provided sampling frame and implemented program "}],"grant_no":"Cellule Filets Sociaux (Prime Minister\u2019s office of the Niger Government)"},"distribution_statement":{"contact":[{"name":"Patrick Premand","affiliation":"World Bank","email":"ppremand@worldbank.org","uri":""}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"This dataset includes processed variables from the baseline (2017), midline (2019), and endline (2020) surveys for the impact evaluation of productive inclusion measures of the Niger Adaptive Social Protection Program."},"version_statement":{"version":"- v2.1:  Edited, anonymous dataset for public distribution."},"study_info":{"abstract":"As part of the Adaptive Safety Net Project, the Government of Niger (with support from the World Bank and the Sahel Adaptive Social Protection Program) launched the implementation of productive inclusion measures to foster more productive livelihoods and improve resilience of cash transfer beneficiary households. This dataset covers three rounds of household surveys from the impact evaluation of these productive inclusion measures among cash transfer beneficiary households. It is published along with the related paper: Bossuroy, Thomas; Goldstein, Markus; Karimou, Bassirou; Karlan, Dean; Kazianga, Harounan; Pariente, William; Premand, Patrick; Thomas, Catherine; Udry, Christopher; Vaillant, Julia; Wright, Kelsey. 2022. \"Tackling Psychosocial and Capital Constraints Opens Pathways out of Poverty\".","time_periods":[{"start":"2017-04","end":"2017-06","cycle":"Baseline"},{"start":"2019-02","end":"2019-03","cycle":"Midline"},{"start":"2020-02","end":"2020-03","cycle":"End-line"}],"coll_dates":[{"start":"2017-04","end":"2017-06","cycle":"Baseline"},{"start":"2019-02","end":"2019-03","cycle":"Midline"},{"start":"2020-02","end":"2020-03","cycle":"Endline"}],"nation":[{"name":"Niger","abbreviation":"NER"}],"geog_coverage":"The study focuses on a sub-sample of communes in all five regions chosen for the second phase of the Niger Adaptive Safety Net project (Dosso, Maradi, Tahoua, Tillabery, and Zinder). 17 communes were selected for the study, covering 322 villages across the 5 regions where cash transfer beneficiaries were eligible to receive complementary productive inclusion measures. In each sample village, approximately 14 households (maximum 15) were interviewed at baseline.","analysis_unit":"Households as well as individuals within households.","universe":"Only households that are beneficiaries of the national cash transfer, located in communes and villages mentioned above","data_kind":"Sample survey data [ssd]","notes":"Niger is one of the poorest countries in the world and faces severe development challenges. It is estimated that 44% percent of the population in Niger lives on less than US$1.25 per day, and 75.23% on less than US$2 per day (WDI, 2010). More than 50 percent of Niger\u2019s population is food insecure, with 22 percent of the population suffering from chronic food insecurity in any given year (World Bank, 2011). The Niger safety net project was rolled out in five regions (Dosso, Maradi, Tahoua, Tillabery, and Zinder), within which beneficiary communes and villages were selected."},"method":{"data_collection":{"data_collectors":[{"name":"Sahel Consulting","abbreviation":"","affiliation":"Private"}],"sampling_procedure":"Cash transfer beneficiary households were chosen by either proxy means testing, community-based targeting, and a formula to proxy temporary food insecurity (as described in Premand and Schnitzer, 2021). 22,507 cash transfer beneficiary households were later assigned to either a control group or 3 productive inclusion treatment arms (Bossuroy et al., 2022). All three treatment arms include a core package of group savings promotion, coaching, and entrepreneurship training, in addition to the regular cash transfers from the national program. The first variant also includes a lump-sum cash grant (\u201ccapital\u201d package). The second variant substitutes the cash grant with psychosocial interventions (\u201cpsychosocial\u201d package). The third variant includes the cash grant and the psychosocial interventions (\u201cfull\u201d package). The control group only receives the regular cash transfers from the national program. 4,712 households were drawn into a sample for data collection (1206 households in control, 1191 households in capital, 1112 households in psychosocial and 1203 households in full). Before the study, we conducted power calculations assuming an ICC of 0.10 (based on data from Ghana and a Niger national household survey) and equal sized arms. To maximize power, we sampled all villages in this phase. Sampling 15 households per village allowed for minimum detectable sizes of 0.057 SD between arms, before adjusting for baseline outcomes or strata.","sampling_deviation":"None","coll_mode":["Face-to-face [f2f]"],"research_instrument":"Household surveys were collected in 3 survey rounds as described above. \n\nThe questionnaires included the following sections: \n\nI. Beneficiary section\nRoster \nHealth\nBeneficiary activity \nHousehold business\nTime use \nFinance \nHousing \nFood security \nCash transfers\nRelationships\nMental health \nTreatment measures \nII. Household head section \nFood consumption \nHead of household activities \nRelationships\nAgriculture\nLivestock and Fish \nAssets\nEducation and Health spending\nNon food consumption \nOther programs \nHousehold transfers \nShocks\n\nQuestions are generally consistent across rounds.\n\nThe data includes process variables, see attachment for variable definitions and Bossuroy et al. (2022) for details.","coll_situation":"Data used in this study was collected using Android tablets and the SurveyCTO Platform developed by Dobility, Inc, versions 2.0 \u2013 2.6.","act_min":"Data collection was supervised by Innovations for Poverty Action, field coordinators from Sahel Consulting, and the co-authors. The supervision team also worked in collaboration with the safety nets unit. Thorough quality control procedures were put in place, with systematic verifications of questionnaires by enumerators and supervisors. Additional verifications, including household visits, were undertaken by the coordination and quality control teams continuously over the full survey period.","weight":"n\/a","cleaning_operations":"Survey data are labelled, deduplicated and cleaned. It includes constructed variables. The data is documented in three files. A household panel dataset shows data from the baseline, midline, and end-line surveys where observations missing at in the baseline survey are replaced with strata means. Households are observed in two periods. A household-level file shows select variables from the baseline survey. Finally, a food-level file shows median food prices per food unit. \n\nVariables were constructed according to a pre-analysis plan, registered at https:\/\/www.socialscienceregistry.org\/versions\/52534\/docs\/version\/document, and are further described in Bossuroy, et al (2022)."},"analysis_info":{"response_rate":"The original sample included 4712 households. The baseline, endline, and end-line samples include 4608, 4476, and 4303 households, respectively, and thus completion rates of 97.8%, 95.0%, and 91.3%."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"The data has been anonymized.","required":"yes","form_no":"","uri":""}],"cit_req":"Bossuroy, Thomas; Goldstein, Markus; Karimou, Bassirou; Karlan, Dean; Kashlan, Yazen; Kazianga, Harounan; Pariente, William; Premand, Patrick; Thomas, Catherine; Udry, Christopher; Vaillant, Julia; Wright, Kelsey. 2022. Adaptive Safety Nets Program 2017-2020, Baseline, Midline and Endline Impact Evaluation Surveys (ASPIE). Ref: NER_2017-2020_ASPIE_v01_M. Dataset downloaded from [url] on [date].\n\nWhen citing the  data, please make sure to also cite the related paper: Bossuroy, Thomas; Goldstein, Markus; Karimou, Bassirou; Karlan, Dean; Kazianga, Harounan; Pariente, William; Premand, Patrick; Thomas, Catherine; Udry, Christopher; Vaillant, Julia; Wright, Kelsey. 2022. \" Tackling psychosocial and capital constraints to alleviate poverty \" Nature.  https:\/\/doi.org\/10.1038\/s41586-022-04647-8","conditions":"- Public use files, accessible to all","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."}}},"schematype":"survey","data_files":[{"file_id":"F4","file_name":"allrounds_NER_food","description":"allrounds_NER_food.dta\nThis dataset shows log village median prices for each purchased food-unit. 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