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There are approximately 1.2-1.9 million Nikkei among Brazil\u2019s 170 million population.\n\nThe survey was designed to provide detail on the characteristics of households with and without migrants, to estimate the proportion of households receiving remittances and with migrants in Japan, and to examine the consequences of migration and remittances on the sending households.\n\nThe same questionnaire was used for the stratified random sample and snowball surveys, and a shorter version of the questionnaire was used for the intercept surveys. Researchers can directly compare answers to the same questions across survey methodologies and determine the extent to which the intercept and snowball surveys can give similar results to the more expensive census-based survey, and test for the presence of biases.","coll_dates":[{"start":"2006-10-13","end":"2006-10-29","cycle":"Listing survey"},{"start":"2006-11-19","end":"2007-02-02","cycle":"Random sampling survey"},{"start":"2006-12-05","end":"2006-12-20","cycle":"Snowball sampling survey"},{"start":"2006-12-09","end":"2007-03-12","cycle":"Intercept survey"}],"nation":[{"name":"Brazil","abbreviation":"BRA"}],"geog_coverage":"Sao Paulo and Parana states","analysis_unit":"Japanese-Brazilian (Nikkei) households and individuals \n\nThe 2000 Brazilian Census was used to classify households as Nikkei or non-Nikkei. The Brazilian Census does not ask ethnicity but instead asks questions on race, country of birth and whether an individual has lived elsewhere in the last 10 years. On the basis of these questions, a household is classified as (potentially) Nikkei if it has any of the following:\n1) a member born in Japan;\n2) a member who is of yellow race and who has lived in Japan in the last 10 years;\n3) a member who is of yellow race, who was not born in a country other than Japan (predominantly Korea, Taiwan or China) and who did not live in a foreign country other than Japan in the last 10 years.","data_kind":"Sample survey data [ssd]","notes":"The scope of the study includes:\n- Demographic characteristics of household members\n- Education\n- Economic activity\n- Dwelling\n- Inventory of durable goods\n- Cash transfers\n- Network in Brazil\n- Finance\n- Pre-migration situation\n- Preparation for migration\n- Migration to Japan\n- Life in Brazil upon return\n- Being a remaining household member of a migrant\n- Reasons for not moving to Japan\n- Information for snowball sampling"},"method":{"data_collection":{"data_collectors":[{"name":"Sensus DataWorld","abbreviation":"","affiliation":""}],"sampling_procedure":"1) Stratified random sample survey\n\nTwo states with the largest Nikkei population - Sao Paulo and Parana - were chosen for the study. \n\nThe sampling process consisted of three stages. First, a stratified random sample of 75 census tracts was selected based on 2000 Brazilian census. Second, interviewers carried out a door-to-door listing within each census tract to determine which households had a Nikkei member. Third, the survey questionnaire was then administered to households that were identified as Nikkei. A door-to-door listing exercise of the 75 census tracts was then carried out between October 13th, 2006, and October 29th, 2006. The fieldwork began on November 19, 2006, and all dwellings were visited at least once by December 22, 2006. The second wave of surveying took place from January 18th, 2007, to February 2nd, 2007, which was intended to increase the number of households responding.\n\n2) Intercept survey\n\nThe intercept survey was designed to carry out interviews at a range of locations that were frequented by the Nikkei population. It was originally designed to be done in Sao Paulo city only, but a second intercept point survey was later carried out in Curitiba, Parana.\nIntercept survey took place between December 9th, 2006, and December 20th, 2006, whereas the Curitiba intercept survey took place between March 3rd and March 12th, 2007. \n\nConsultations with Nikkei community organizations, local researchers and officers of the bank Sudameris, which provides remittance services to this community, were used to select a broad range of locations.\nInterviewers were assigned to visit each location during prespecified blocks of time. Two fieldworkers were assigned to each location. One fieldworker carried out the interviews, while the other carried out a count of the number of people with Nikkei appearance who appeared to be 18 years old or older who passed by each location. For the fixed places, this count was made throughout the prespecified time block. For example, between 2.30 p.m. and 3.30 p.m. at the sports club, the interviewer counted 57 adult Nikkeis. Refusal rates were carefully recorded, along with the sex and approximate age of the person refusing. \n\nIn all, 516 intercept interviews were collected. \n\n3) Snowball sampling survey\n\nThe questionnaire that was used was the same as used for the stratified random sample. The plan was to begin with a seed list of 75 households, and to aim to reach a total sample of 300 households through referrals from the initial seed households. Each household surveyed was asked to supply the names of three contacts:\n(a) a Nikkei household with a member currently in Japan;\n(b) a Nikkei household with a member who has returned from Japan;\n(c) a Nikkei household without members in Japan and where individuals had not returned from Japan.\n\nThe snowball survey took place from December 5th to 20th, 2006. The second phase of the snowballing survey ran from January 22nd, 2007, to March 23rd, 2007. More associations were contacted to provide additional seed names (69 more names were obtained) and, as with the stratified sample, an adaptation of the intercept survey was used when individuals refused to answer the longer questionnaire. A decision was made to continue the snowball process until a target sample size of 100 had been achieved.\n\nThe final sample consists of 60 households who came as seed households from Japanese associations, and 40 households who were chain referrals. The longest chain achieved was three links.","coll_mode":"Face-to-face [f2f]","research_instrument":"1) Stratified sampling and snowball survey questionnaire\n\nThis questionnaire has 36 pages with over 1,000 variables, taking over an hour to complete.\n\nIf subjects refused to answer the questionnaire, interviewers would leave a much shorter version of the questionnaire to be completed by the household by themselves, and later picked up. This shorter questionnaire was the same as used in the intercept point survey, taking seven minutes on average. The intention with the shorter survey was to provide some data on households that would not answer the full survey because of time constraints, or because respondents were reluctant to have an interviewer in their house.\n\n2) Intercept questionnaire\n\nThe questionnaire is four pages in length, consisting of 62 questions and taking a mean time of seven minutes to answer. Respondents had to be 18 years old or older to be interviewed.","coll_situation":"All three surveys were implemented by the same survey firm, Sensus DataWorld, an experienced Brazilian survey firm, and were carried out at the same point in time, allowing comparability between the three methods."},"analysis_info":{"response_rate":"1) Stratified random sampling\n403 out of the 710 Nikkei households were surveyed, an interview rate of 57%. The refusal rate was 25%, whereas the remaining households were either absent on three attempts or were not surveyed because building managers refused permission to enter the apartment buildings. Refusal rates were higher in Sao Paulo than in Parana, reflecting greater concerns about crime and a busier urban environment.\n\n2) Intercept Interviews\n516 intercept interviews were collected, along with 325 refusals. The average refusal rate is 39%, with location-specific refusal rates ranging from only 3% at the food festival to almost 66% at one of the two grocery stores."}},"data_access":{"dataset_use":{"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample,\n\nDavid McKenzie, Johan Mistiaen, World Bank. Surveying Japanese-Brazilian Households: Comparison of Census-Based, Snowball and Intercept Point Surveys (SJBH) 2006. Ref. BRA_2006_SJBH_v01_M. Dataset downloaded from [URL] on [date].","conditions":"Publicly available for research purposes only","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","tags":[{"tag":"DOI"}],"data_files":[{"file_id":"F1","file_name":"nikkeidata","description":"The file contains information from \"Brazil Nikkei Household Questionnaire\".","case_count":292,"var_count":1139,"producer":null,"data_checks":null,"version":null,"notes":null,"metadata":null},{"file_id":"F2","file_name":"bdintercept","description":"The dataset contains data on 516 individuals interviewed in intercept point survey in Sao Paulo.","case_count":516,"var_count":72,"producer":null,"data_checks":null,"version":null,"notes":null,"metadata":null},{"file_id":"F3","file_name":"interceptpointparana","description":"The dataset contains information on 516 individuals interviewed in intercept point survey in Parana.","case_count":516,"var_count":61,"producer":null,"data_checks":null,"version":null,"notes":null,"metadata":null},{"file_id":"F4","file_name":"poolhhp","description":"The dataset includes the subset of variables for 274 households in Parana. 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