Expenditure and Consumption Survey 2007
West Bank and Gaza, 2007 - 2008
Get Microdata
Reference ID
PSE-PCBS-PCES-2007-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
Collections
Created on
Sep 09, 2021
Last modified
Sep 09, 2021
Page views
44112
Downloads
173
Identification
Survey ID Number
PSE-PCBS-PCES-2007-V1.0
Title
Expenditure and Consumption Survey 2007
Translated Title
مسح انفاق واستهلاك الاسرة 2007
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Income/Expenditure/Household Survey [hh/ies]
Series Information
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, and PCBS conducted a fifth survey between 15/1/2004 and 14/1/2005. And PCBS conducted a sixth survey between 15/1/2005 and 14/1/2006, And PCBS conducted a seventh survey between 15/1/2006 and 14/1/2007, And PCBS conducted eighth survey between 15/1/2007 and 14/1/2008
The findings of these surveys constituted a solid database and enabled PCBS to publish detailed statistics regarding expenditure and consumption for the first time.
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.
The findings of these surveys constituted a solid database and enabled PCBS to publish detailed statistics regarding expenditure and consumption for the first time.
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.
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.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household, individual
Version
Version Description
Version 1.1 dataset for public distribution
Version Date
2010-05-15
Scope
Notes
The main purpose of this survey is to provide information on standards of living and patterns
of consumption and expenditure among Palestinian households in the West Bank and Gaza
Strip. The data collected by this survey has many different uses, including:
? Social studies on living standards and poverty.
? Nutrition studies, particularly for vulnerable groups.
? Documentation of living conditions of the Palestinians in the Palestinian Territory
as a unique historical record.
? Weights for the consumer price index.
? Compiling the National Accounts.
? Market research as the basis for marketing strategies for private firms
? Social development.
of consumption and expenditure among Palestinian households in the West Bank and Gaza
Strip. The data collected by this survey has many different uses, including:
? Social studies on living standards and poverty.
? Nutrition studies, particularly for vulnerable groups.
? Documentation of living conditions of the Palestinians in the Palestinian Territory
as a unique historical record.
? Weights for the consumer price index.
? Compiling the National Accounts.
? Market research as the basis for marketing strategies for private firms
? Social development.
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| ECONOMICS [1] | CESSDA | Link |
Keywords
| Keyword | Vocabulary | URI |
|---|---|---|
| Expenditure | Glossary of Statistical Terms Used in PCBS | Link |
Coverage
Geographic Coverage
The Data are representative at region level (West Bank, Gaza Strip)
Geographic Unit
Region (West Bank, Gaza Strip)
Universe
The survey covered all the Palestinian households who are a usual residence in the Palestinian Territory.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | Palestinian National Authority |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| The Palestinian National Authority | PNA | Financial assistance |
| The Core Funding Group | CFG | Financial assistance |
| Swiss Agency for Development and Cooperation | SDC | Financial assistance |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Palestinian Households | CFG | Finance Survey |
Sampling
Sampling Procedure
Sample and Frame:
The sampling frame consists of all enumeration areas which enumerated in 1997 and the numeration area consists of buildings and housing units and has in average about 150 households in it. We use the enumeration areas as primary sampling units PSUs in the first stage of the sampling selection. The enumeration areas of the master sample were updated in 2003.
Sample Design:
The sample is stratified cluster systematic random sample with two stages:
first stage: selection a systematic random sample of 120 enumeration areas.
Second stage: selection a systematic random sample of 12-18 households from each enumeration area selected in the first stage.
Sample strata:
We divided the population by:
1-Region (North West Bank, Middle West Bank, South West Bank, Gaza Strip)
2-Type of Locality (urban, rural, refugee camps)
Sample Size:
The calculated sample size is 1,714 households, the completed households were 1,231 (812 in the west bank and 419 in the Gaza strip).
Target cluster size
The next important issue in the sample design is the target cluster size or “sample-take” which is the average number of households to be selected per PSU. In this survey, the sample take is around 12 households.
The sampling frame consists of all enumeration areas which enumerated in 1997 and the numeration area consists of buildings and housing units and has in average about 150 households in it. We use the enumeration areas as primary sampling units PSUs in the first stage of the sampling selection. The enumeration areas of the master sample were updated in 2003.
Sample Design:
The sample is stratified cluster systematic random sample with two stages:
first stage: selection a systematic random sample of 120 enumeration areas.
Second stage: selection a systematic random sample of 12-18 households from each enumeration area selected in the first stage.
Sample strata:
We divided the population by:
1-Region (North West Bank, Middle West Bank, South West Bank, Gaza Strip)
2-Type of Locality (urban, rural, refugee camps)
Sample Size:
The calculated sample size is 1,714 households, the completed households were 1,231 (812 in the west bank and 419 in the Gaza strip).
Target cluster size
The next important issue in the sample design is the target cluster size or “sample-take” which is the average number of households to be selected per PSU. In this survey, the sample take is around 12 households.
Deviations from the Sample Design
It is very important to calculate standard errors for the main survey estimations, so that the user can identify the accuracy of estimations and the survey reliability. Total errors of the survey can be divided into two kinds: statistical errors, and non-statistical errors. Non-statistical errors are related to the procedures of statistical work at different stages, such as the failure to explain questions in the questionnaire, unwillingness or inability to provide correct responses, bad statistical coverage, etc. These errors depend on the nature of the work, training, supervision, and conducting of all the various related activities.
The work team spared no effort at the different stages to minimize non-statistical errors; however, it is difficult to estimate numerically such errors due to absence of technical computation methods based on theoretical principles to tackle them.
On the other hand, statistical errors can be measured. Frequently they are measured by the standard error, which is the positive square root of the variance. The variance of this survey has been computed by using the “programming package” CENVAR
The work team spared no effort at the different stages to minimize non-statistical errors; however, it is difficult to estimate numerically such errors due to absence of technical computation methods based on theoretical principles to tackle them.
On the other hand, statistical errors can be measured. Frequently they are measured by the standard error, which is the positive square root of the variance. The variance of this survey has been computed by using the “programming package” CENVAR
Response Rate
The survey sample consists of about 1,714 households interviewed over a twelve months period between (January 2007-January 2008).1,231 households completed the interview, of which 812 were from the West Bank and 419 households in Gaza Strip; the response rate was 71.8% in the Palestinian Territory.
Weighting
Calculation of Households Weights:
First we calculate the primary weight for the household from stratum h by the design of sample by dividing the number of households in stratum h on the sample size of households in stratum h. Then we adjust the weights for the respondents to compensate for the non response of households by calculate the factor of weights adjustment by dividing the sample size of household from stratum h on the number of the respondent households from stratum h. Then the final weight for the households is a multiplications of the factor of the weights adjustment by the primary weights for the household
First we calculate the primary weight for the household from stratum h by the design of sample by dividing the number of households in stratum h on the sample size of households in stratum h. Then we adjust the weights for the respondents to compensate for the non response of households by calculate the factor of weights adjustment by dividing the sample size of household from stratum h on the number of the respondent households from stratum h. Then the final weight for the households is a multiplications of the factor of the weights adjustment by the primary weights for the household
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2007-01-15 | 2008-01-15 | year |
Time periods
| Start date | End date |
|---|---|
| 2007-01-15 | 2008-01-14 |
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
Four teams of female interviewers, three in the West Bank and one in the Gaza Strip carried out data collection. Each team consisted of a supervisor, a field editor, and 1-2 interviewers. Fieldwork teams were distributed to different districts according to sample allocation.
All 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 the previous rounds of PECS Surveys. 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 throughout fieldwork. An 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. The interviewer transferred the records in a questionnaire on a weekly basis. Data on durable goods were captured by the recall method for the last 12 months (rounds), in order to avoid large variance in estimates when the one-month approach is used.
All 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 the previous rounds of PECS Surveys. 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 throughout fieldwork. An 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. The interviewer transferred the records in a questionnaire on a weekly basis. Data on durable goods were captured by the recall method for the last 12 months (rounds), in order to avoid large variance in estimates when the one-month approach is used.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian National Authority |
Questionnaires
Questionnaires
The PECS questionnaire consists of two main sections:
First section:
Certain 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:
Cover 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.
Statement of the family members: Contains social, economic and demographic particulars of the selected family.
Statement of the long-lasting commodities and income generation activities:
Includes a number of basic and indispensable items (i.e., Livestock, or agricultural lands).
Housing Characteristics: Includes information and data pertaining to the housing conditions, including type of shelter, 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.
Monthly and Annual Income: Data pertaining to the income of the family is collected from different sources at the end of the registration / recording period.
Assistance and poverty: includes questions about household conditions and assistances that got through the the past month.
Second section:
The 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.
These data was abotained from the recording book which is covered a period of month for each household.
First section:
Certain 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:
Cover 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.
Statement of the family members: Contains social, economic and demographic particulars of the selected family.
Statement of the long-lasting commodities and income generation activities:
Includes a number of basic and indispensable items (i.e., Livestock, or agricultural lands).
Housing Characteristics: Includes information and data pertaining to the housing conditions, including type of shelter, 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.
Monthly and Annual Income: Data pertaining to the income of the family is collected from different sources at the end of the registration / recording period.
Assistance and poverty: includes questions about household conditions and assistances that got through the the past month.
Second section:
The 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.
These data was abotained from the recording book which is covered a period of month for each household.
Data Processing
Data Editing
Data editing took place at a number of stages through the processing including:
1. office editing and coding
2. during data entry
3. structure checking and completeness
4. structural checking of SPSS data files
1. office editing and coding
2. during data entry
3. structure checking and completeness
4. structural checking of SPSS data files
Data Appraisal
Estimates of Sampling Error
To calculate the variance for the whole population, the estimations of variance for the separate domains were summed.
The approximate design effect was derived from the estimation of the variance of the simple random sample, and from the estimation of the variance proposed in the ultimate cluster method. The design effect was calculated for all groups of variance and separately for all observed domains. All differences denoted as significant in the text are significant at the 95 percent confidence level, unless otherwise indicated.
Detailed information on the sampling Error is available in the Survey Report.
The approximate design effect was derived from the estimation of the variance of the simple random sample, and from the estimation of the variance proposed in the ultimate cluster method. The design effect was calculated for all groups of variance and separately for all observed domains. All differences denoted as significant in the text are significant at the 95 percent confidence level, unless otherwise indicated.
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.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | Palestinian National Authority | diwan@pcbs.gov.ps | www.pcbs.gov.ps |
Confidentiality
General Statistics Law No. (5) for Year 2000
Article (17)
1. 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.
2. 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.
s
Access conditions
License Agreement for the Use of Micro Data in PCBS
items(10,11,12) as following:
1. 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.
2. Utilization of "data" or any copies thereof is limited to personal computers normally .
3. 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.
items(10,11,12) as following:
1. 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.
2. Utilization of "data" or any copies thereof is limited to personal computers normally .
3. 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.
Citation requirements
Palestinian Central Bureau of Statistics, 2008. Levels of living in the Palestinian Territory.
Final Report (January 2007 - January 2008).Ramallah - Palestine
Final Report (January 2007 - January 2008).Ramallah - Palestine
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | Palestinian National Authority | diwan@pcbs.gov.ps | www.pcbs.gov.ps |
Disclaimer and copyrights
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.
Copyright
© July, 2008, Palestinian Central Bureau of Statistics
Metadata production
DDI Document ID
DDI-PSE-PCBS-PCES-2007-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian National Authority | Production and execute the survey |
Date of Metadata Production
2010-03-24
DDI Document version
Version 1.0 (MARCH 2010)