{"doc_desc":{"title":"Expenditure and Consumption Survey 1997","idno":"DDI-PSE-PCBS-PECS-1997-V1.0","producers":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"Palestinian Nationa Authority","role":"Production and execute the survey"}],"prod_date":"2014-08-19","version_statement":{"version":"Version 1.0 ( AUG 2014)"}},"study_desc":{"title_statement":{"idno":"PSE-PCBS-PECS-1997-V1.0","title":"Expenditure and Consumption Survey 1997","alt_title":"PECS","translated_title":"\u0645\u0633\u062d \u0627\u0646\u0641\u0627\u0642 \u0648\u0627\u0633\u062a\u062e\u0644\u0627\u0643 \u0627\u0644\u0627\u0633\u0631\u0629 1997"},"authoring_entity":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"Palestinian National Authority"}],"oth_id":[{"name":"The Core Funding Group represented by the representative office","affiliation":"CFG","email":"","role":"responded to the survey instrument"},{"name":"Swiss Agency for Development and Cooperation","affiliation":"SDC","email":"","role":"responded to the survey instrument"}],"production_statement":{"copyright":"\u00a9 2014, Palestinian Central Bureau of Statistics, reference period of data (1\/1\/1997-31\/12\/1997)","funding_agencies":[{"name":"The Palestinian National Authority","abbreviation":"PNA","role":"Financial assistance"},{"name":"The Core Funding Group","abbreviation":"CFG","role":"Financial assistance"},{"name":"Swiss Agency for Development and Cooperation","abbreviation":"SDC","role":"Financial assistance"}]},"distribution_statement":{"contact":[{"name":"Division of Users Services","affiliation":"Palestinian Central Bureau of Statistics","email":"diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps"}]},"series_statement":{"series_name":"Income\/Expenditure\/Household Survey [hh\/ies]","series_info":"The Palestinian Central Bureau of Statistics (PCBS) conducted a household expenditure and consumption survey for the first time between 1\/10\/1995 and 30\/9\/1996, PCBS conducted a second survey between 1\/1\/1997 and 31\/1\/1997, PCBS conducted a third survey between 1\/1\/1998 and 31\/1\/1998, PCBS conducted a fourth survey between 15\/3\/2001 and 14\/3\/2002, PCBS conducted a fifth survey between 15\/1\/2004 and 14\/1\/2005. PCBS conducted a sixth survey between 15\/1\/2005 and 14\/1\/2006, PCBS conducted a seventh survey between 15\/1\/2006 and 14\/1\/2007. PCBS conducted the eigth survey between 15\/1\/2007 and 14\/1\/2008.PCBS conducted the ninght survey between 15\/1\/2008 and 14\/1\/2009.PCBS conducted the tenth survey between 15\/1\/2009 and 14\/1\/2010.PCBS conducted the eleventh survey between 15\/1\/2010 and 14\/1\/2011.PCBS conducted the twelveth survey between 15\/1\/2011 and 14\/1\/2012.\n\nThe findings of these surveys constituted a solid database and enabled PCBS to publish detailed statistics regarding expenditure and consumption for the first time. \n\nThe basic goal of this survey is to provide a necessary database for formulating national policies at various levels. This survey providing  the contribution of the household sector to the Gross National Product (GNP), This survey determining the incidence of poverty, Providing weighted data which reflects the relative importance of the consumption items to be employed to determine the benchmark for rates and prices of items and services. The survey is a fundamental cornerstone in the process of studying the nutritional status in the Palestinian territory."},"version_statement":{"version":"Version 1.0 dataset for public distribution","version_date":"2014-08-19"},"study_info":{"keywords":[{"keyword":"Expenditure","vocab":"Glossary of Statistical Terms Used in PCBS","uri":"http:\/\/www.pcbs.gov.ps\/Downloads\/book1721.pdf"}],"topics":[{"topic":"ECONOMICS [1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"The basic goal of this survey is to provide a necessary database for formulating national policies at various levels. This survey providing  the contribution of the household sector to the Gross National Product (GNP), This survey determining the incidence of poverty, Providing weighted data which reflects the relative importance of the consumption items to be employed to determine the benchmark for rates and prices of items and services. The survey is a fundamental cornerstone in the process of studying the nutritional status in the Palestinian territory.","time_periods":[{"start":"1997-01-01","end":"1997-12-31","cycle":""}],"coll_dates":[{"start":"1997-01-01","end":"1997-12-31","cycle":"year"}],"nation":[{"name":"Palestine","abbreviation":"PSE"}],"geog_coverage":"The Data are representative at region level (West Bank, Gaza Strip), locality type (urban, rural, camp) .","geog_unit":"- Region (West Bank, Gaza Strip)\n- locality type (urban, rural, camp)","analysis_unit":"Household, individual","universe":"The survey covered all the Palestinian households who are a usual residence in the Palestinian Territory.","data_kind":"Sample survey data [ssd]","notes":"The PECS questionnaire consists of two main sections: \n\nFirst section: \nCertain articles \/ provisions of the form filled at the beginning of the month, and the remainder filled out at the end of the month. The questionnaire includes the following provisions:\n\nCover sheet: It contains detailed and particulars of the family, date of visit, particular of the field\/office work team, number\/sex of the family members.\n\nStatement of the family members: Contains social, economic and demographic particulars of the selected family.\n\nStatement of the long-lasting commodities and income generation activities:\nIncludes a number of basic and indispensable items (i.e., Livestock, or agricultural lands).\n\nHousing Characteristics: Includes information and data pertaining to the housing conditions, including type of house, number of rooms, ownership, rent, water, electricity supply, connection to the sewer system, source of cooking and heating fuel, and remoteness\/proximity of the house to education and health facilities.\n\nMonthly and Annual Income: Data pertaining to the income of the family is collected from different sources at the end of the registration \/ recording period.\n\n Assistance and poverty: includes questions about household conditions and assistances that got through the the past month.\n\nSecond section: \nThe second section of the questionnaire includes a list of 55 consumption and expenditure groups itemized and serially numbered according to its importance to the family. Each of these groups contains important commodities. The number of commodities items in each for all groups stood at 667 commodities and services items. Groups 1-21 include food, drink, and cigarettes. Group 22 includes homemade commodities. Groups 23-45 include all items except for food, drink and cigarettes. Groups 50-55 include all of the long-lasting commodities. Data on each of these groups was collected over different intervals of time so as to reflect expenditure over a period of one full year, except the cars group the data of which was collected for three previous years.\nThese data was abotained from the recording book which is covered a period of month for each household."},"method":{"data_collection":{"data_collectors":[{"name":"PCBS","abbreviation":"","affiliation":""}],"sampling_procedure":"The target population in this sample survey comprises all households living in the West Bank and Gaza Strip, excluding nomads and students.\n\nThe sample design is a stratified two-stage design for households selected to be interviewed. At the first stage a sample of cells (PSUs) was selected from the PCBS master sample frame. At the second stage, a sample of households was selected after a complete household listing of the sampled cells.\n\n\nSample Design\n       \nStratification\n Four levels of stratification have been made:\nStratification by District.\nStratification by place of residence which comprises: \n(a) Municipalities\t                   (b) Villages                 (c) Refugee Camps \t \nStratification by locality size.\nStratification by cell identification in that order.\n\nSample Size\nThe sample size is about 3,591 households allowing for non-response and related losses .\n\n\nTarget cluster size\n\nThe next important issue in the sample design is the target cluster size or \u201csample-take\u201d which is the average number of households to be selected per PSU.  In this survey, the sample take is around 10 households.\n\n\nSelf-weighting design:\n\nAt the first stage, clusters or \u201ccells\u201d have been selected with PPS probability proportional to estimated measure of size (Mi) for unit (I):\n\n\t\t\nWhere the summation covers all clusters in the population; a-300 is the total number of selected clusters.  It is highly desirable for the PECS to have a constant overall sampling rate (f), i.e. to have a self- weighting sample. This requires the second stage probability for the selection of households and persons within any sample cluster i to be as follows:\n\n\t\nWhere b is a constant (independent of i) to be determined to obtain the required sample size,  n =3,591  households.  Since the measure of size  are likely to differ from the actual number  of households listed in any cluster i, the actual number of households selected with the above  shall vary from one cluster to another and are presented as:\n\n\nAdding all clusters in the sample results in the required constant b,  to achieve the target sample size  n  as:\n\nHence to control the overall sample size, b is determined after completing the listing in all sample areas.\n\nThe above procedure allows for variation in sample sizes bi at the level of individual clusters, in order to provide a self-weighting sample.  Households within each sample cluster shall be selected systematically from the lists prepared for that purpose, using the sampling interval,\n\t\n\nWhere:\n\n\ta\tNumber of cells in the sample (equals 360)\t\n\tNumber of housing units in cell I\t\t\n\tNumber of listed of households in cell I\t\t\n\tn\tProposed sample size (n= 3,591 HHs)\t\n\tb\tAverage sample take\t\n\tSample take in cell I\t\t\n\tf\tSample rate\t\n\tFirst-stage sampling rate\t\t\n\tSecond-stage sampling rate\t\t\n\nWhich is fixed for each cluster but varies between clusters depending on the measure of size () with which the area was selected at the first stage.\n\nThe sample-take must be allowed to vary depending on the actual number of households  found after listing. However, provision must be made to avoid extreme variation in cluster sample size.  This could be done by using the above procedure to compute the ratio   for each cluster in the sample.  If this ratio lies outside the range say 0.5 - 4.0, adjust  , i.e. the interval  to be applied for the selection of households in the cluster, so as to keep the ratio within the above range.\n\nSample Rotation\n\nThe total number of (480) cells have been divided into (24) groups (subsided sample), each one constituted of (20) cells. A sub-sample of (360) cells is used year round by a monthly sample constituted of two minor samples (30 cells). The survey includes independent cells and not cross section ones, each of these is formed from (300) households for each month (round).\n\n(Replication)\nL\tK\tJ\tI\tH\tG\tF\tE\tD\tC\tB\tA\tMonth\t\n\t\t\t\t\t\t\t\t\t\t\t\u00d7\t1\t\n\t\t\t\t\t\t\t\t\t\t\u00d7\t\t2\t\n\t\t\t\t\t\t\t\t\t\u00d7\t\t\t3\t\n\t\t\t\t\t\t\t\t\u00d7\t\t\t\t4\t\n\t\t\t\t\t\t\t\u00d7\t\t\t\t\t5\t\n\t\t\t\t\t\t\u00d7\t\t\t\t\t\t6\t\n\t\t\t\t\t\u00d7\t\t\t\t\t\t\t7\t\n\t\t\t\t\u00d7\t\t\t\t\t\t\t\t8\t\n\t\t\t\u00d7\t\t\t\t\t\t\t\t\t9\t\n\t\t\u00d7\t\t\t\t\t\t\t\t\t\t10\t\n\t\u00d7\t\t\t\t\t\t\t\t\t\t\t11\t\n\u00d7\t\t\t\t\t\t\t\t\t\t\t\t12\t\n\nEstimations Procedure\n\nThe sample is self-weighting by design. To estimate a given total Y for a given sub-population A, we introduce the following formula:\n\t\t\t\n \t\t                      \n\nBut since W is constant for all j within i, then: the estimating formula becomes:\n\t   \t\t\t\n\nWhere,\n U\nYA    = Estimated total for variable Y in sub-population A\nh      = The sub-stratum within the estimation domain\ni       = The sample PSU (cell)\nj       = The unit of analysis or element\nA   = Subset of elements possessing a given attribute, that is, belonging to a given sub- population A\n   = Observed value of variable \u201cy\u201d for j-the element of i-the sample PSU in stratum h\n    = Final (adjusted) sampling weight for the element\n     is the unweighted PSU total within h for sub-population A\n\nThe estimator for a given ratio for sub-population A is the following:\n\t\t\t\t(2) \n\nWhere:\nU\nRA =Estimate for the ratio of two variables, Y\/X, in sub-population A\nU\nXA = Estimated total for variable X in sub-population A, given by formula (1)B\nU \nYA = Estimated total for variable Y in sub-population A, also given by formula (1)B\n\nMeans and proportions are special types of ratios.  In the case of the mean, the variable X, in the denominator of the ratio, is defined to equal 1 for each element, so that denominator is the sum of weights in the sub-population.\nIn the case of the proportion, the variable X in the denominator is also defined to equal 1 for all elements. In addition, the variable Y in the numerator is binomial and is defined to equal either 0 or 1, depending on the absence or presence of a specified attribute in the element observed.\n\n\nCalculation of Variance\n\nIt is very important to calculate standard errors for the main survey estimates so that the user can have an idea of their reliability or precision.\n\nThe variance calculation will use the method of ultimate clusters.  Within any domain of estimation, for a sub-population A, and for a characteristic Y, the formulas are:\n(a) The variance of an estimator of a total is estimated by:\n\n (3)\t\t\nWhere:\n\n(4)\t\t\n\nand:\n (5)\t\t\t\t\n\nThe expression in (3) is an unbiased estimator of the variance.\n(b)  The variance of an estimator of a ratio is estimated by:\n\n(6)\t               \n\nWhere: \n\n\n    \n    U                      U\nV (YA) and V(XA) are calculated according to formula (3);\nU\nXA  is calculated according to formula (1); and\nU\nRA  according to formula (2).","coll_mode":["Face-to-face [f2f]"],"research_instrument":"The PECS questionnaire consists of two main sections: \n\nFirst section: \nCertain articles \/ provisions of the form filled at the beginning of the month, and the remainder filled out at the end of the month. The questionnaire includes the following provisions:\n\nCover sheet: It contains detailed and particulars of the family, date of visit, particular of the field\/office work team, number\/sex of the family members.\n\nStatement of the family members: Contains social, economic and demographic particulars of the selected family.\n\nStatement of the long-lasting commodities and income generation activities:\nIncludes a number of basic and indispensable items (i.e., Livestock, or agricultural lands).\n\nHousing Characteristics: Includes information and data pertaining to the housing conditions, including type of house, number of rooms, ownership, rent, water, electricity supply, connection to the sewer system, source of cooking and heating fuel, and remoteness\/proximity of the house to education and health facilities.\n\nMonthly and Annual Income: Data pertaining to the income of the family is collected from different sources at the end of the registration \/ recording period.\n\n Assistance and poverty: includes questions about household conditions and assistances that got through the the past month.\n\nSecond section: \nThe second section of the questionnaire includes a list of 55 consumption and expenditure groups itemized and serially numbered according to its importance to the family. Each of these groups contains important commodities. The number of commodities items in each for all groups stood at 667 commodities and services items. Groups 1-21 include food, drink, and cigarettes. Group 22 includes homemade commodities. Groups 23-45 include all items except for food, drink and cigarettes. Groups 50-55 include all of the long-lasting commodities. Data on each of these groups was collected over different intervals of time so as to reflect expenditure over a period of one full year, except the cars group the data of which was collected for three previous years.\nThese data was abotained from the recording book which is covered a period of month for each household.","coll_situation":"Six teams of female interviewers, four in the West Bank and two in Gaza Strip carried out data collection.  Each team consisted of a supervisor, a field editor, and 4-5 interviewers. Fieldwork teams were distributed to different districts according to sample allocation.  \nAll field staff received a training session combining general theoretical and practical components.  Interviewers, supervisors and editors for the survey were selected from those who worked on PECS1.  Fieldwork procedures and organization were designed to ensure adequate supervision and the collection of high quality data.  To this end, several quality control measures were used though out fieldwork.\n\nAn interviewer undertook between 120 and 150 household visits in a month.  The households were asked to keep daily records in a diary during their recording month.","weight":"The sample is self-weighting by design. To estimate a given total Y for a given sub-population A, we introduce the following formula:\n\t\t\t\n \t\t                      \n\nBut since W is constant for all j within i, then: the estimating formula becomes:\n\t   \t\t\t\n\nWhere,\n U\nYA    = Estimated total for variable Y in sub-population A\nh      = The sub-stratum within the estimation domain\ni       = The sample PSU (cell)\nj       = The unit of analysis or element\nA   = Subset of elements possessing a given attribute, that is, belonging to a given sub- population A\n   = Observed value of variable \u201cy\u201d for j-the element of i-the sample PSU in stratum h\n    = Final (adjusted) sampling weight for the element\n     is the unweighted PSU total within h for sub-population A\n\nThe estimator for a given ratio for sub-population A is the following:\n\t\t\t\t(2) \n\nWhere:\nU\nRA =Estimate for the ratio of two variables, Y\/X, in sub-population A\nU\nXA = Estimated total for variable X in sub-population A, given by formula (1)B\nU \nYA = Estimated total for variable Y in sub-population A, also given by formula (1)B\n\nMeans and proportions are special types of ratios.  In the case of the mean, the variable X, in the denominator of the ratio, is defined to equal 1 for each element, so that denominator is the sum of weights in the sub-population.\nIn the case of the proportion, the variable X in the denominator is also defined to equal 1 for all elements. In addition, the variable Y in the numerator is binomial and is defined to equal either 0 or 1, depending on the absence or presence of a specified attribute in the element observed.","cleaning_operations":"Data editing took place at a number of stages through the processing including:\n\n1. office editing and coding\n2. during data entry\n3. structure checking and completeness\n4. structural checking of SPSS data files","method_notes":"Both data entry and tabulation were performed using the Oracle and SPSS software programs. Data entry was organized in 8 files, corresponding to the main parts of the questionnaire. A data entry template was designed to reflect an exact image of the questionnaire, and included various electronic checks: logical check, range checks, consisting checks and cross-validation. Complete manual inspection of results after data entry was performed, and questionnaires containing field-related errors were sent back to the field for corrections."},"analysis_info":{"response_rate":"Selection of (3,591) households representing the West Bank and Gaza Strip, (2,502) households in the West Bank and (1,089) households in Gaza Strip.\n\nAfter completing the last visit to the households during the survey period, The results of questionnaires were as follows:\n\nRegion\tNumber of Questionnaires \tNumber of incomplete Questionnaires\t\n\tTotal\tUninhabited\tCompleted\tRefused\tTravel\tMovement\tOther\t\nWest Bank\t2,502\t79\t2,279\t75\t31\t24\t14\t\nGaza Strip\t1,089\t35\t991\t37\t9\t14\t3\t\nPalestinian Territory\t3,591\t114\t3,270\t112\t40\t38\t17\t\n\nExcluding the uninhabited housing units, the sample of survey become (3,477) households, (2,423) households in the West Bank, And (1,054) households in Gaza Strip. (3,270) households completed the questionnaire: (2,279) households in the West Bank and (991) households in Gaza Strip. Therefore the percentage of non response rate was as indicated below:\n\n\t\nGaza Strip (%)\tWest Bank (%)\tPalestinian Territory (%)\tResult of Interview\t\n6.3\t6.3\t6.3\tNon response\t\n3.7\t3.3\t3.4\tRefused\t\n2.3\t2.4\t2.4\tNot complete*\t\n0.3\t0.6\t0.5\tOther\t\n* Not complete include the travel and movement of Household.","sampling_error_estimates":"Detailed information on the sampling Error is available in the Survey Report.","data_appraisal":"Detailed information on the data appraisal is available in the Survey Report."}},"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, 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":"Palestinian National Authority","email":"diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps"}],"cit_req":"Palestinian Central Bureau of Statistics, 2014. Expenditure and Consumption Survey, 1997. v1.0\n .Ramallah - Palestine","conditions":"License Agreement for the Use of Micro Data in PCBS \nitems(10,11,12) as following:\n\n\n1. pledges  the utilization of \"data\" 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 or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis.\n\n2. Utilization of \"data\" or any copies thereof is limited to personal computers normally .\n\n3. pledges not to alter the value of any observation in the original \"data\"; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does 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"}}}}