Finance and Insurance Survey 2018
West Bank and Gaza, 2019
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Reference ID
PSE-PCBS-FIN-2018-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
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Feb 18, 2020
Last modified
Feb 18, 2020
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Identification
Survey ID Number
PSE-PCBS-FIN-2018-V1.0
Title
Finance and Insurance Survey 2018
Translated Title
مسح المالية والتأمين، 2018
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Enterprise Survey [en/oth]
Series Information
Finance and Insurance Survey aims to provide the major economic indicators related to insurance and financial activities . The twenty third volume of the Finance and Insurance Survey report issued by the PCBS comprises the survey data for 2018, presented in tables. Enterprises engaged in financial intermediary activities (Palestine Monetary Authority, Banks, Palestine Exchange, stock market brokers, and Holding companies, Financial Leasing Companies (for the first time) and insurance companies) were fully covered by this survey. in addition to Money Exchangers
Abstract
Finance and Insurance survey covered PMA, Commercial and Islamic Banks, Credit Institutions, Holding Companies, PEX, and Money Brokers, Insurance Corporations, Financial leasing companies and Money Exchangers. There was full coverage of all enterprises engaged in the relevant activities (except money exchangers), and for money exchangers a sample was selected.
Finance and Insurance survey 2018 aims to provide the following indicators:
1. Number of active enterprises by economic activity.
2. Number of employed persons (waged and non-waged) and compensations of waged employees by economic activity.
3. Value of output from main and secondary economic activities by economic activity.
4. Intermediate consumption by economic activity.
5. Value added and its main components by economic activity.
6. Transfers and other payments by economic activity.
7. Fixed assets and GFCF by economic activity.
These indicators will be used:
1. In compiling National Accounts according to SNA 2008.
2. In economic research and analysis.
3. By decision makers, planners and other interested parties.
Finance and Insurance survey 2018 aims to provide the following indicators:
1. Number of active enterprises by economic activity.
2. Number of employed persons (waged and non-waged) and compensations of waged employees by economic activity.
3. Value of output from main and secondary economic activities by economic activity.
4. Intermediate consumption by economic activity.
5. Value added and its main components by economic activity.
6. Transfers and other payments by economic activity.
7. Fixed assets and GFCF by economic activity.
These indicators will be used:
1. In compiling National Accounts according to SNA 2008.
2. In economic research and analysis.
3. By decision makers, planners and other interested parties.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Enterprise
Version
Version Description
v0.1: version (datasets for public use)
Version Date
2019-11-06
Scope
Notes
Finance and Insurance Survey provides the following indicators about the relevant activities:
1. Number of employed persons and the value of their compensations.
2. Value of output from main and secondary activities.
3. Value of financial investments.
4. Production inputs of goods and services.
5. Transfers and Property income.
6. Taxes on production.
7. Assets and net additions to these assets and the depreciation of these assets during 2018.
1. Number of employed persons and the value of their compensations.
2. Value of output from main and secondary activities.
3. Value of financial investments.
4. Production inputs of goods and services.
5. Transfers and Property income.
6. Taxes on production.
7. Assets and net additions to these assets and the depreciation of these assets during 2018.
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| economic conditions and indicators [1.2] | CESSDA | Link |
Keywords
| Keyword | Vocabulary | URI |
|---|---|---|
| Financial Intermediation | Glossary of Statistical Terms Used in PCBS | Link |
Coverage
Geographic Coverage
Remaining West Bank and Gaza Strip
Universe
Finance and Insurance survey covered all enterprises engaged in the activities classified under the tabulation category K according to ISIC-4, which include PMA, Commercial and Islamic Banks, Credit Institutions, PEX, Stock market Institutions, Holding Companies, Financial Leasing companies (for the first time) and Insurance Corporations.
There was full coverage of all enterprises engaged in the relevant activities (except money exchangers), and for money exchangers a sample was selected.
Finance and Insurance Survey, 2016 include money exchangers enterprises for the fourth time since 1997, and holding companies for the second time.
There was full coverage of all enterprises engaged in the relevant activities (except money exchangers), and for money exchangers a sample was selected.
Finance and Insurance Survey, 2016 include money exchangers enterprises for the fourth time since 1997, and holding companies for the second time.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | Palestine |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Palestinain Central Bureau of Statistics | Palestine | Collection, processing and dissemination of data |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Palestine | PSE | financial |
| The Representative Office of Norway | NOR | financial |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| The Representative Office of Norway | CFG | financial |
Sampling
Sampling Procedure
Finance and Insurance survey covered PMA, Banks, Credit Institutions, Holding Companies,Financial leasing companies (for the first time), Insurance Institutions, PEX, Money Brokers, and Money Exchangers. There was full coverage of all enterprises engaged in the relevant activities (except money exchangers), and for money exchangers a sample was selected.
The number of financial intermediation enterprises and insurance enterprises was 51 enterprises in 2018, while the sample size of money exchangers was 120 enterprises. The sample of money exchanger's survey is a one-stage stratified systematic random sample in which enterprises were divided into two groups: the first group is all the enterprises with an employment size of 8 employees and more, the second group includes enterprises that are chosen in a systematic random way and employ (1-7) employees.
The number of financial intermediation enterprises and insurance enterprises was 51 enterprises in 2018, while the sample size of money exchangers was 120 enterprises. The sample of money exchanger's survey is a one-stage stratified systematic random sample in which enterprises were divided into two groups: the first group is all the enterprises with an employment size of 8 employees and more, the second group includes enterprises that are chosen in a systematic random way and employ (1-7) employees.
Response Rate
Response Rates
Response rates for banking sector activity (PMA. banks and other credit institutions). stock market brokers activity, holding companies activity, financial leasing activity, and insurance activity:
- Response rate = 84.8%
- Non- response rate = 15.2%
- Over-coverage rate = 1.5%
Response rates for money exchangers activity:
Results of interviews Number of cases
Completed 97
Completely closed before 2018 5
Completely closed after or during 2018 2
Temporarily closed 1
Has not engaged in any activity in 2018 1
Different economic activity 3
Refused 5
Branch Keeps No Records 4
Different Ownership 1
Other 1
Total 120
Response and Non-Response Rates:
Increased inclusion error rate = Total cases of over coverage X 100% = 10%
Number of cases in original sample
Non-Response Rate = Total cases of Non-responses X 100% = 9.3%
Net sample
Net sample = original sample - (over coverage cases) = 108
Response Rate = 100% - Non-Response Rate = 90.7%
Response rates for banking sector activity (PMA. banks and other credit institutions). stock market brokers activity, holding companies activity, financial leasing activity, and insurance activity:
- Response rate = 84.8%
- Non- response rate = 15.2%
- Over-coverage rate = 1.5%
Response rates for money exchangers activity:
Results of interviews Number of cases
Completed 97
Completely closed before 2018 5
Completely closed after or during 2018 2
Temporarily closed 1
Has not engaged in any activity in 2018 1
Different economic activity 3
Refused 5
Branch Keeps No Records 4
Different Ownership 1
Other 1
Total 120
Response and Non-Response Rates:
Increased inclusion error rate = Total cases of over coverage X 100% = 10%
Number of cases in original sample
Non-Response Rate = Total cases of Non-responses X 100% = 9.3%
Net sample
Net sample = original sample - (over coverage cases) = 108
Response Rate = 100% - Non-Response Rate = 90.7%
Weighting
The weight of statistical units (sampling unit) in the sample is defined as the mathematical inverse of the selection probability where the sample of the survey is one-stage stratified systematic random sample. We calculated the weights of enterprises based on the probability of each enterprise (systematic random sample). Weights were adjusted depending on the interview results.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2019-04-14 | 2019-08-21 |
Time periods
| Start date | End date |
|---|---|
| 2018-01-01 | 2018-12-31 |
Data Collection Mode
Face-to-face [f2f]
Supervision
· The field work representative in the project technical committee provided the project management team with daily reports about completeness and response rates.
· Field visits were conducted on a regular basis by the project management team to monitor data collection process in all governorates.
· Field visits were conducted on a regular basis by the project management team to monitor data collection process in all governorates.
Data Collection Notes
· A qualified field work team of 7 fieldworkers (3 in the middle of WB, 1 in the north, 1 in the south, and 2 in Gaza) with a background in economics was selected and trained theoretically and practically on survey's questionnaire.
. Field visits were conducted on a regular basis by the project management team to monitor data collection process in all governorates.
. Field visits were conducted on a regular basis by the project management team to monitor data collection process in all governorates.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestine |
Questionnaires
Questionnaires
The questionnaire used in this survey has much in common with other Economic Survey Series questionnaires. The questionnaire design took into account the major economic variables related to insurance and financial activities to meet the requirements used in compiling Palestinian National Accounts and the updates in the latest international manuals (SNA-2008( and (BPM-6).
The questionnaire included the following variables:
1. Number of employed persons and the value of their compensations.
2. Value of output from main and secondary activities.
3. Value of financial investments.
4. Production inputs of goods and services.
5. Transfers and Property income.
6. Taxes on production.
7. Assets and net additions to these assets and the depreciation of these assets during 2018.
The questionnaire included the following variables:
1. Number of employed persons and the value of their compensations.
2. Value of output from main and secondary activities.
3. Value of financial investments.
4. Production inputs of goods and services.
5. Transfers and Property income.
6. Taxes on production.
7. Assets and net additions to these assets and the depreciation of these assets during 2018.
Data Processing
Data Editing
To ensure the quality and consistency of data, a number of procedures were implemented:
· A set of validation rules were applied to data entry program to check the consistency and accuracy of data.
· The program was tested by entering a number of questionnaires that include incorrect data. The data entry program was checked prior to data collection to ensure that it can be used correctly.
· Well-trained data entry personnel were selected and trained for data entry process.
· Data files received by project management were checked for accuracy and consistency using a prepared Syntax on SPSS.
· After the process of data entry and data editing, primary tables were prepared. The consistency and accuracy of these tables were checked several times.
· A set of validation rules were applied to data entry program to check the consistency and accuracy of data.
· The program was tested by entering a number of questionnaires that include incorrect data. The data entry program was checked prior to data collection to ensure that it can be used correctly.
· Well-trained data entry personnel were selected and trained for data entry process.
· Data files received by project management were checked for accuracy and consistency using a prepared Syntax on SPSS.
· After the process of data entry and data editing, primary tables were prepared. The consistency and accuracy of these tables were checked several times.
Data Appraisal
Estimates of Sampling Error
Sampling Errors
For financial intermediation and insurance activities (except money exchangers) the findings of the survey are not affected by sampling errors because it is a comprehensive survey. On the other hand, for money exchanger's activity the findings of the survey may be affected by sampling errors due to use of a sample. This will increase the chance of variances from the actual values obtained from comprehensive enumeration. The variances of the key indicators in the survey were computed and disseminated on Palestine as a whole for reasons related to sample design and the computation of the variances of the main indicators (number of employed persons, intermediate consumption, output, gross value added, and compensations of employees).
Non-sampling Errors
These types of errors could appear in one or in all of the survey stages. They are related to respondents, field workers, and data entry personnel. To avoid this type of errors and reduce its impact, a number of procedures were used to enhance the accuracy of data collection and data processing.
For financial intermediation and insurance activities (except money exchangers) the findings of the survey are not affected by sampling errors because it is a comprehensive survey. On the other hand, for money exchanger's activity the findings of the survey may be affected by sampling errors due to use of a sample. This will increase the chance of variances from the actual values obtained from comprehensive enumeration. The variances of the key indicators in the survey were computed and disseminated on Palestine as a whole for reasons related to sample design and the computation of the variances of the main indicators (number of employed persons, intermediate consumption, output, gross value added, and compensations of employees).
Non-sampling Errors
These types of errors could appear in one or in all of the survey stages. They are related to respondents, field workers, and data entry personnel. To avoid this type of errors and reduce its impact, a number of procedures were used to enhance the accuracy of data collection and data processing.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division of user services | Palestinian Central Bureau of Statistics | Dus@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
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.
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 Statistic. Finance and Insurance Survey, 2018. V1.0 Ramallah-Palestine.
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | Palestine | Diwan@pcbs.gov.ps | www.pcbs.gov.ps |
Disclaimer and copyrights
Disclaimer
PCBS provide 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
© All rights reserved. Palestinian Central Bureau of Statistics, 2018
Metadata production
DDI Document ID
DDI-PSE-PCBS-FIN-2018-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestine | Collection, processing and dissemination data |
Date of Metadata Production
2019-11-06
DDI Document version
V1.0 Version