{"doc_desc":{"title":"Household Expenditure and Consumption Survey-2017","idno":"DDI-PSE-PCBS-PECS-2017-V1.0","producers":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"State of Palestine","role":"Collection, processing and dissemination data"}],"prod_date":"2018-08-06","version_statement":{"version":"V1.0"}},"study_desc":{"title_statement":{"idno":"PSE-PCBS-PECS-2017-V1.0","title":"Household Expenditure and Consumption Survey 2017","alt_title":"PECS","translated_title":"\u0645\u0633\u062d \u0625\u0646\u0641\u0627\u0642 \u0648\u0627\u0633\u062a\u0647\u0644\u0627\u0643 \u0627\u0644\u0623\u0633\u0631\u0629 2017"},"authoring_entity":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"State of Palestine"}],"oth_id":[{"name":"Word Bank","affiliation":"Core Funding Group, CFG","email":"","role":"Finance Survey"},{"name":"European Union","affiliation":"Core Funding Group, CFG","email":"","role":"Finance Survey"}],"production_statement":{"copyright":"(c)  All Rights Reserved.  Palestinian Central Bureau of Statistics, (2017).","funding_agencies":[{"name":"Palestine State","abbreviation":"PSE","role":"Financial assistance"},{"name":"World Bank","abbreviation":"WB","role":"Financial assistance"},{"name":"European Union","abbreviation":"EU","role":"Financial assistance"}]},"distribution_statement":{"contact":[{"name":"Division of user services","affiliation":"Palestinian Central Bureau of Statistics","email":"Dus@pcbs.gov.ps","uri":"www.pcbs.gov.ps"},{"name":"Mail office","affiliation":"Palestinian Central Bureau of Statistics","email":"Diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps"}]},"series_statement":{"series_name":"Living Standards Measurement Study [hh\/lsms]","series_info":"This is the thirteenth bulletin of Expenditure and Consumption Survey of Palestinian households for the period of (October 2016 - September 2017).  Provide a profile of poverty in Palestine for 2017 in order to study the socio-economic characteristics of poor households in Palestine."},"version_statement":{"version":"- v1.0: Edited, anonymous dataset for public distribution.","version_date":"2018-08-06"},"study_info":{"keywords":[{"keyword":"Expenditure","vocab":"Glossary of Statistical","uri":"http:\/\/www.pcbs.gov.ps\/Portals\/_Rainbow\/Documents\/StatisticalTerm2014.pdf"},{"keyword":"Consumption","vocab":"Glossary of Statistical","uri":"http:\/\/www.pcbs.gov.ps\/Portals\/_Rainbow\/Documents\/StatisticalTerm2014.pdf"},{"keyword":"Poverty","vocab":"Glossary of Statistical","uri":"http:\/\/www.pcbs.gov.ps\/Portals\/_Rainbow\/Documents\/StatisticalTerm2014.pdf"}],"topics":[{"topic":"ECONOMICS [1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"The objective of this survey is:\n- To provide the basic data needed for policy development at the national level for different sectors.\n- To know the consumption expenditure patterns and the impact of social variables on them.\n- Calculation of average monthly and annual expenditure of the individual and households on items of commodities and services and knowing the factors affecting expenditure, such as educational, social and other levels.  \n- To obtain data on household consumption and expenditure levels that can be used to determine poverty levels and to analyze changes in living standards over time.\n- To provide data for national accounts for final consumption of the household sector.\n- To provideweights data that reflect the relative importance of consumer spending items used in the preparation of consumer price index.  \n- To access data on non-cash consumption such as consumption of own produced products and in-kind payments.  \n- To know sources of income generation and household ownership of durable goods, tenure and agricultural property.\n- To know characteristics of the dwelling, and the availability of services within the dwelling.","time_periods":[{"start":"2016-10-01","end":"2017-09-30","cycle":"record keeping"},{"start":"2015-10-01","end":"2017-09-30","cycle":"durable goods, and education tuition"},{"start":"2013-10-01","end":"2017-09-30","cycle":"transportation (cars).  "}],"coll_dates":[{"start":"2016-09-28","end":"2017-10-10","cycle":""}],"nation":[{"name":"Palestine","abbreviation":"PSE"}],"geog_coverage":"This survey representative three levels: the first at the regional level (West Bank and Gaza Strip), the second at the level of the type of community (urban, rural, camp), and finally at the Governorate (17 governorates, where Jerusalem was considered as two statistical areas).","analysis_unit":"Household, individual","universe":"All households and individuals who were living normally in Palestine in 2016\\ 2017.","data_kind":"Sample survey data [ssd]","notes":"The PECS questionnaire consists of: \n Survey questionnaire:\nThe data are collected during the registration month during the visit of the fieldworker to the household, and include the following sections:\nFirst part: (cover page) this part records the necessary information of the household, date of visit, data on field and office staff, and number of family members by gender.  \nSecond part: contains demographic and social questions about household.  \nThird part: contains questions on the characteristics of the labor force.  \nForth part: covers housing characteristics that cover many topics such as type of housing, number of rooms, house ownership, rental value, housing, electricity, water and sanitation. The main source of cooking fuel and heating. After housing for transportation, education and health centers.  \nFifth part: contains data on social assistance and adaptation strategies, which include the value of assistance received by the household or individuals, and the circumstances and trauma experienced by the household or a member.  \nSixth part: contains questions of income and means of income generation as well as data on monthly and annual income, where data on household income are collected from different sources at the household level at the end of the registration period.\n  \nList of commodities\nThe classification of the list of commodities is based on the recommendation of the United Nations for the SNA under the name Classification of Individual Consumption according to Purpose. The list includes 50 groups of expenditure and consumption, with each given a sequence number based on its importance to the household, starting with food goods, clothing groups, housing, medical treatment, transportation and communication, and lastly, durable goods. Each group consists of important goods.  Groups from 1-21 include goods pertinent to food, drinks, and cigarettes. Group 22 includes goods that are home-produced and consumed by the household.  Groups 23-45 include all items except food, drinks, and cigarettes. Groups 50-55 include durable goods. The data are collected based on different reference periods to represent expenditure during one year.\t\n\nRegistration Book\nThe registration book includes instructions and examples on how to record consumption and expenditure items. The form includes columns:\n- Monetary: If the good is purchased or in kind: if the item is self-produced.  \n- Title of the service or the good.  \n- Unit of measurement (kilogram, liter, number).  \n- Quantity.  \n- Value."},"method":{"data_collection":{"data_collectors":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"Palestinian National Authority "}],"sampling_procedure":"- Sample Size \nThe sample size was 4,692 households and additional sample from 920 households to compensate for non- response cases, (the total sample was 5,612 households), and 3,739 households responded.\n\n- Sample Design \nThe sample is two stage stratified cluster sample as following:\nFirst stage: selection of a PPS random sample of 391 enumeration areas.  \nSecond stage: A systematic random sample of 12 households from each enumeration area selected in the first stage. \n\n- Sample Strata \nThe population was divided by:\n1- Governorate (17 governorates, where Jerusalem was considered as two statistical areas).\n2- locality type (urban, rural, refugee camps).","coll_mode":["Face-to-face [f2f]"],"research_instrument":"- Survey questionnaire\nThe data are collected during the registration month during the visit of the fieldworker to the household, and include the following sections:\n- First part: (cover page) this part records the necessary information of the household, date of visit, data on field and office staff, and number of family members by gender.  \n- Second part: contains demographic and social questions about household.  \n- Third part: contains questions on the characteristics of the labor force.  \n- Forth part: covers housing characteristics that cover many topics such as type of housing, number of rooms, house ownership, rental value, housing, electricity, water and sanitation. The main source of cooking fuel and heating. After housing for transportation, education and health centers.  \n- Fifth part: contains data on social assistance and adaptation strategies, which include the value of assistance received by the household or individuals, and the circumstances and trauma experienced by the household or a member.  \n- Sixth part: contains questions of income and means of income generation as well as data on monthly and annual income, where data on household income are collected from different sources at the household level at the end of the registration period.  \n\n- List of commodities\nThe classification of the list of commodities is based on the recommendation of the United Nations for the SNA under the name Classification of Individual Consumption according to Purpose. The list includes 50 groups of expenditure and consumption, with each given a sequence number based on its importance to the household, starting with food goods, clothing groups, housing, medical treatment, transportation and communication, and lastly, durable goods. Each group consists of important goods.  Groups from 1-21 include goods pertinent to food, drinks, and cigarettes. Group 22 includes goods that are home-produced and consumed by the household.  Groups 23-45 include all items except food, drinks, and cigarettes. Groups 50-55 include durable goods. The data are collected based on different reference periods to represent expenditure during one year.\n\n- Registration Book\nThe registration book includes instructions and examples on how to record consumption and expenditure items. The form includes columns:\n- Monetary: If the good is purchased or in kind: if the item is self-produced.  \n- Title of the service or the good.  \n- Unit of measurement (kilogram, liter, number).  \n- Quantity.  \n- Value.","coll_situation":"Call the team to work: \nThe team was called to work in the survey based on the final exam result and evaluation of the trainees' performance in the training course, based on attendance and participation. The training started on Sunday 21\/08\/2016 until Wednesday 31\/08\/2016, and lasted for 9 days. The total number of trainees in the training course in the West Bank was 67 trainees, and 20 trainees in Gaza Strip.  There were no withdrawals during the training course. The training was unified and central, where training was conducted for Gaza Strip via videoconference. Training was conducted by a group of trainers specialized in their subjects (education, work, housing, etc.). The training course was mainly on the questionnaires and the registration book, and the registration mechanism, and the statistical knowledge. \n \nThe team was distributed according to the sample basis for each governorate. The total number of candidates for the work was 40 fieldworkers in the West Bank: 26 fieldworkers, 6 supervisors, 8 auditors, and 15 fieldworkers in the Gaza Strip: 11 fieldworkers, 2 supervisors and 2 auditors.","act_min":"The team was distributed according to the sample basis for each governorate. The total number of candidates for the work was 40 fieldworkers in the West Bank: 26 fieldworkers, 6 supervisors, 8 auditors, and 15 fieldworkers in the Gaza Strip: 11 fieldworkers, 2 supervisors and 2 auditors.  \nThe supervisor shall ensure the work of the fieldworkers and the auditors.\nThere were periodic field visits to the field by the members of the Technical Committee distributed to the all governorates, about 8-15 visits per month.","weight":"The weight of statistical units (sampling unit) in the sample was defined as the mathematical inverse of the selection probability where the sample of the survey is a two-stage stratified cluster sample. In the first stage we calculate the weight of enumeration areas based on the probability of each enumeration area. In the second stage we calculate the weight of households in each enumeration area. Initial household weights resulted from the product of the weight of the first stage and the weight of the second stage. The final household weights were obtained after adjustment of the initial weights with the household estimates for mid 2017 according to design strata (governorate, locality type).\n   \nMerge the final household weights to Roster file, known as the primary weight of person.  Then adjusting the primary person weights by these adjusted levels: region, gender, and five-year age groups (17 groups) in relation to the number of population in mid July- 2017.  Finally, we obtain the final person weight.","cleaning_operations":"Office Editing and Coding\nThe completed and filled forms were submitted to the desk auditor who checked the forms based on the pre-prepared audit mechanisms to verify the accuracy and correctness of their data, and to set the serial number and the appropriate coding.  Eight office auditors distributed on the governorates were assigned to check the forms for each survey to detect mistakes at the beginning of the work, review and discuss them with fieldworker.  And then began the process of delivery of the audited questionnaires to the coding section to encode them and to transfer them to the data entry section according to the templates prepared for that.  \nThe quality of the data was verified by reviewing data entered on the computer to detect and correct input errors. The audit was conducted either through:\n\n- A comprehensive review of all data entered by printing statements, comparing them with the forms and modifying the errors of entry, if any.  \n- During the examination using the interrelationship between the questions and the consistency and objection to the contradictory answers.\n- Direct checking on the computer using the check screens and compare the form with the data entered and modify the errors of entry if any. \n\nData Cleaning\nData cleaning was within several stages \n- During the data entry, audit rules were applied to examine the interconnection of questions and any error message was being processed directly by the survey editor  to complete the questionnaires.  \n- After the data entry was completed, there was a monthly checking and cleaning that linked the questions at the level of the questionnaires and any discrepancy were sent to the survey auditors to be processed and reflected on the entry program.\n  \nIn any case, any change data on any variable was checked with other variables associated with it in order to be corrected if it was needed.","method_notes":"Programming and Consistency Check\nThe data entry program was design according to the questionnaires and was loaded with the coding files for the governorates and locality and it was linked to the sample file.  The data was being delivered on a monthly basis to complete the examination, checking, cleaning and completeness of the data and any defect or discrepancy was corrected on the paper questionnaires and on the data entry program as a kind of data control.  \n\nThe survey data were entered in four statistical headquarters (main headquarters, north and south of the West Bank and Gaza Strip) and were based on one united database, the data auditor and data entry employee were checking that data after finishing data entry for each monthly data, the errors were corrected, the checking was on the harmonization of the  answers on the questionnaire and part of it was to indicate and verify the validity of the values as on quantity and price for food Commodity.  \n\nData processing and data tabulation:\nData processing was on Oracle and SPSS packages.  The data entry process was organized into 8 files representing the main parts of the form (main file, individuals, housing, daily goods, durable goods, monthly income, annual income, and assistance).  And it was considered petting link between the questionnaires parts in order to control data and take into account the logical answer."},"analysis_info":{"response_rate":"5,612 households had been reached as a representative sample to Palestine, where the number of completed questionnaires amounted to 3,739 households of which 2,897 households were in the West Bank and 842 households in Gaza Strip. Weights were amended at the level of design strata to modify effects of refusals rates and lack of responses. \n\nThe response percentages was 71.4%.","sampling_error_estimates":"The examination of data accuracy includes multiple aspects, the most recognized is sampling errors which assesses accuracy due to the use of the sample, and the non-sampling errors which occur due to the field work team and due to the survey book, in addition to the response rates in the survey.  These errors have an effect on the variance and estimations."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"General Statistics Law No. (5) for Year 2000\n\nArticle (17)\n1.  All individual information and data submitted to the Bureau for statistical purposes shall be treated as confidential and shall not be divulged, in whole or in part, to any individual or to a public or private body, \n     or used for any purpose other than for preparing statistical tables. \n2.  The Bureau shall endeavor to issue official statistical publications in aggregate tables, which do not disclose individual data, in conformity with the confidentiality of statistical data.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"State of Palestine","email":"diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps"}],"cit_req":"Palestinian Central Bureau of Statistics, Household Expenditure and Consumption Survey, 2017.  V1.0 (05-2018).\nRamallah - Palestine","conditions":"1.     Pledges  the utilization of \u201cdata\u201d or any copies thereof shall be limited to the purposes agreed upon including not granting any third parties any access to these data. Restrictions applies to any data duplication\n        or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis.\n\n2.     Utilization of \u201cdata\u201d or any copies thereof is limited to personal computers normally .\n\n3.     Pledges not to alter the value of any observation in the original \u201cdata\u201d; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does\n         not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values.","disclaimer":"PCBS  provid  data collected for purely statistical purposes, and therefore does not assume any responsibility for legal or professional from any claim or analysis or interpretation or misuse of this data."}}}}