Expenditure and Consumption Survey 1997
West Bank and Gaza, 1997
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Reference ID
PSE-PCBS-PECS-1997-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
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Identification
Survey ID Number
PSE-PCBS-PECS-1997-V1.0
Title
Expenditure and Consumption Survey 1997
Translated Title
مسح انفاق واستخلاك الاسرة 1997
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, 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.
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 1.0 dataset for public distribution
Version Date
2014-08-19
Scope
Notes
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 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.
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 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.
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.
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), locality type (urban, rural, camp) .
Geographic Unit
- Region (West Bank, Gaza Strip)
- locality type (urban, rural, camp)
- locality type (urban, rural, camp)
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 |
|---|---|---|
| The Core Funding Group represented by the representative office | CFG | responded to the survey instrument |
| Swiss Agency for Development and Cooperation | SDC | responded to the survey instrument |
Sampling
Sampling Procedure
The target population in this sample survey comprises all households living in the West Bank and Gaza Strip, excluding nomads and students.
The 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.
Sample Design
Stratification
Four levels of stratification have been made:
Stratification by District.
Stratification by place of residence which comprises:
(a) Municipalities (b) Villages (c) Refugee Camps
Stratification by locality size.
Stratification by cell identification in that order.
Sample Size
The sample size is about 3,591 households allowing for non-response and related losses .
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 10 households.
Self-weighting design:
At the first stage, clusters or “cells” have been selected with PPS probability proportional to estimated measure of size (Mi) for unit (I):
Where 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:
Where 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:
Adding all clusters in the sample results in the required constant b, to achieve the target sample size n as:
Hence to control the overall sample size, b is determined after completing the listing in all sample areas.
The 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,
Where:
a Number of cells in the sample (equals 360)
Number of housing units in cell I
Number of listed of households in cell I
n Proposed sample size (n= 3,591 HHs)
b Average sample take
Sample take in cell I
f Sample rate
First-stage sampling rate
Second-stage sampling rate
Which 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.
The 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.
Sample Rotation
The 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).
(Replication)
L K J I H G F E D C B A Month
× 1
× 2
× 3
× 4
× 5
× 6
× 7
× 8
× 9
× 10
× 11
× 12
Estimations Procedure
The sample is self-weighting by design. To estimate a given total Y for a given sub-population A, we introduce the following formula:
But since W is constant for all j within i, then: the estimating formula becomes:
Where,
U
YA = Estimated total for variable Y in sub-population A
h = The sub-stratum within the estimation domain
i = The sample PSU (cell)
j = The unit of analysis or element
A = Subset of elements possessing a given attribute, that is, belonging to a given sub- population A
= Observed value of variable “y” for j-the element of i-the sample PSU in stratum h
= Final (adjusted) sampling weight for the element
is the unweighted PSU total within h for sub-population A
The estimator for a given ratio for sub-population A is the following:
(2)
Where:
U
RA =Estimate for the ratio of two variables, Y/X, in sub-population A
U
XA = Estimated total for variable X in sub-population A, given by formula (1)B
U
YA = Estimated total for variable Y in sub-population A, also given by formula (1)B
Means 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.
In 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.
Calculation of Variance
It 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.
The 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:
(a) The variance of an estimator of a total is estimated by:
(3)
Where:
(4)
and:
(5)
The expression in (3) is an unbiased estimator of the variance.
(b) The variance of an estimator of a ratio is estimated by:
(6)
Where:
U U
V (YA) and V(XA) are calculated according to formula (3);
U
XA is calculated according to formula (1); and
U
RA according to formula (2).
The 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.
Sample Design
Stratification
Four levels of stratification have been made:
Stratification by District.
Stratification by place of residence which comprises:
(a) Municipalities (b) Villages (c) Refugee Camps
Stratification by locality size.
Stratification by cell identification in that order.
Sample Size
The sample size is about 3,591 households allowing for non-response and related losses .
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 10 households.
Self-weighting design:
At the first stage, clusters or “cells” have been selected with PPS probability proportional to estimated measure of size (Mi) for unit (I):
Where 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:
Where 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:
Adding all clusters in the sample results in the required constant b, to achieve the target sample size n as:
Hence to control the overall sample size, b is determined after completing the listing in all sample areas.
The 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,
Where:
a Number of cells in the sample (equals 360)
Number of housing units in cell I
Number of listed of households in cell I
n Proposed sample size (n= 3,591 HHs)
b Average sample take
Sample take in cell I
f Sample rate
First-stage sampling rate
Second-stage sampling rate
Which 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.
The 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.
Sample Rotation
The 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).
(Replication)
L K J I H G F E D C B A Month
× 1
× 2
× 3
× 4
× 5
× 6
× 7
× 8
× 9
× 10
× 11
× 12
Estimations Procedure
The sample is self-weighting by design. To estimate a given total Y for a given sub-population A, we introduce the following formula:
But since W is constant for all j within i, then: the estimating formula becomes:
Where,
U
YA = Estimated total for variable Y in sub-population A
h = The sub-stratum within the estimation domain
i = The sample PSU (cell)
j = The unit of analysis or element
A = Subset of elements possessing a given attribute, that is, belonging to a given sub- population A
= Observed value of variable “y” for j-the element of i-the sample PSU in stratum h
= Final (adjusted) sampling weight for the element
is the unweighted PSU total within h for sub-population A
The estimator for a given ratio for sub-population A is the following:
(2)
Where:
U
RA =Estimate for the ratio of two variables, Y/X, in sub-population A
U
XA = Estimated total for variable X in sub-population A, given by formula (1)B
U
YA = Estimated total for variable Y in sub-population A, also given by formula (1)B
Means 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.
In 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.
Calculation of Variance
It 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.
The 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:
(a) The variance of an estimator of a total is estimated by:
(3)
Where:
(4)
and:
(5)
The expression in (3) is an unbiased estimator of the variance.
(b) The variance of an estimator of a ratio is estimated by:
(6)
Where:
U U
V (YA) and V(XA) are calculated according to formula (3);
U
XA is calculated according to formula (1); and
U
RA according to formula (2).
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.
After completing the last visit to the households during the survey period, The results of questionnaires were as follows:
Region Number of Questionnaires Number of incomplete Questionnaires
Total Uninhabited Completed Refused Travel Movement Other
West Bank 2,502 79 2,279 75 31 24 14
Gaza Strip 1,089 35 991 37 9 14 3
Palestinian Territory 3,591 114 3,270 112 40 38 17
Excluding 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:
Gaza Strip (%) West Bank (%) Palestinian Territory (%) Result of Interview
6.3 6.3 6.3 Non response
3.7 3.3 3.4 Refused
2.3 2.4 2.4 Not complete*
0.3 0.6 0.5 Other
* Not complete include the travel and movement of Household.
After completing the last visit to the households during the survey period, The results of questionnaires were as follows:
Region Number of Questionnaires Number of incomplete Questionnaires
Total Uninhabited Completed Refused Travel Movement Other
West Bank 2,502 79 2,279 75 31 24 14
Gaza Strip 1,089 35 991 37 9 14 3
Palestinian Territory 3,591 114 3,270 112 40 38 17
Excluding 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:
Gaza Strip (%) West Bank (%) Palestinian Territory (%) Result of Interview
6.3 6.3 6.3 Non response
3.7 3.3 3.4 Refused
2.3 2.4 2.4 Not complete*
0.3 0.6 0.5 Other
* Not complete include the travel and movement of Household.
Weighting
The sample is self-weighting by design. To estimate a given total Y for a given sub-population A, we introduce the following formula:
But since W is constant for all j within i, then: the estimating formula becomes:
Where,
U
YA = Estimated total for variable Y in sub-population A
h = The sub-stratum within the estimation domain
i = The sample PSU (cell)
j = The unit of analysis or element
A = Subset of elements possessing a given attribute, that is, belonging to a given sub- population A
= Observed value of variable “y” for j-the element of i-the sample PSU in stratum h
= Final (adjusted) sampling weight for the element
is the unweighted PSU total within h for sub-population A
The estimator for a given ratio for sub-population A is the following:
(2)
Where:
U
RA =Estimate for the ratio of two variables, Y/X, in sub-population A
U
XA = Estimated total for variable X in sub-population A, given by formula (1)B
U
YA = Estimated total for variable Y in sub-population A, also given by formula (1)B
Means 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.
In 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.
But since W is constant for all j within i, then: the estimating formula becomes:
Where,
U
YA = Estimated total for variable Y in sub-population A
h = The sub-stratum within the estimation domain
i = The sample PSU (cell)
j = The unit of analysis or element
A = Subset of elements possessing a given attribute, that is, belonging to a given sub- population A
= Observed value of variable “y” for j-the element of i-the sample PSU in stratum h
= Final (adjusted) sampling weight for the element
is the unweighted PSU total within h for sub-population A
The estimator for a given ratio for sub-population A is the following:
(2)
Where:
U
RA =Estimate for the ratio of two variables, Y/X, in sub-population A
U
XA = Estimated total for variable X in sub-population A, given by formula (1)B
U
YA = Estimated total for variable Y in sub-population A, also given by formula (1)B
Means 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.
In 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.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 1997-01-01 | 1997-12-31 | year |
Time periods
| Start date | End date |
|---|---|
| 1997-01-01 | 1997-12-31 |
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
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.
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 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.
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.
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 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.
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.
Data Collectors
| Name |
|---|
| PCBS |
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 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.
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 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.
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
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 | |
|---|---|---|---|
| Division of Users Services | Palestinian Central Bureau of Statistics | 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.
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, 2014. Expenditure and Consumption Survey, 1997. v1.0
.Ramallah - Palestine
.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
© 2014, Palestinian Central Bureau of Statistics, reference period of data (1/1/1997-31/12/1997)
Metadata production
DDI Document ID
DDI-PSE-PCBS-PECS-1997-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian Nationa Authority | Production and execute the survey |
Date of Metadata Production
2014-08-19
DDI Document version
Version 1.0 ( AUG 2014)