Household Income and Expenditure Survey 2006
Palau, 2006
Office of Planning & Statistics, Bureau of Budget and Planning
Identification
IDNO
SPC_PLW_2006_HIES_v01_M
Title
Household Income and Expenditure Survey 2006
Country
| Name | Country code |
|---|---|
| Palau | PLW |
Abstract
The purpose of this survey is to obtain information on the income, consumption pattern, incidence of poverty, and saving propensities for different groups of people in the Republic of Palau. This information will be used to guide policy makers in framing socio-economic developmental policies and in initiating financial measures for improving economic conditions of the people.
Some more specific outputs from the survey are listed below:
a) To obtain expenditure weights and other useful data for the revision of consumer price indices.
b) To supplement the data available for use in compiling official estimates of household accounts in the systems of national accounts.
c) To supply basic data needed for policy making in connection with social and economic planning
d) To provide data for assessing the impact on household living conditions of existing or proposed economic and social measures, particularly changes in the structure of household expenditures and in household consumption
e) To gather information on poverty lines and incidence of poverty throughout Palau.
Some more specific outputs from the survey are listed below:
a) To obtain expenditure weights and other useful data for the revision of consumer price indices.
b) To supplement the data available for use in compiling official estimates of household accounts in the systems of national accounts.
c) To supply basic data needed for policy making in connection with social and economic planning
d) To provide data for assessing the impact on household living conditions of existing or proposed economic and social measures, particularly changes in the structure of household expenditures and in household consumption
e) To gather information on poverty lines and incidence of poverty throughout Palau.
Kind of Data
Sample survey data [ssd]
Version
Version number
Version 1.0 - Edited data not anonymized. Bases for published reports
Version Date
2007-07-24
Scope
Topic Classification
| Topic | Vocabulary |
|---|---|
| Access to Finance | World Bank |
| Health Systems & Financing | World Bank |
| Payment Systems | World Bank |
| Education | World Bank |
Coverage
Geographic Coverage
- National
- Six geographical areas:
> Koror
> West Babeldaob
> Airai
> Peleliu
> East Babeldaob
> Kayangel/Angaur
- Six geographical areas:
> Koror
> West Babeldaob
> Airai
> Peleliu
> East Babeldaob
> Kayangel/Angaur
Unit of Analysis
- Population and Household
- Region
- Region
Universe
All private households.
Households that had not been residing in Palau for the last 12 months and did not intend to stay in Palau for the next 12 months at the time of the survey, were still selected in the survey, but treated as out-of-scope.
Households that had not been residing in Palau for the last 12 months and did not intend to stay in Palau for the next 12 months at the time of the survey, were still selected in the survey, but treated as out-of-scope.
Producers and sponsors
Authoring entity/Primary investigators
| Agency Name | Affiliation |
|---|---|
| Office of Planning & Statistics, Bureau of Budget and Planning | Ministry of Finance |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Ms. Kim Robertson | Secretariat of the Pacific Community | - [Technical assistance] initial planning & set up stage |
| Mr. Gregory Keeble | Secretariat of the Pacific Community | - [Technical assistance] data processing and data analysis |
| Mr. Chris Ryan | - [Technical assistance] data processing and data analysis |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Republic of Palau Government | ROPGov | Shared funding |
| Asian Development Bank | ADB | Shared funding |
| US Department of Interior | USDOI | Shared funding |
Other Identifications/Acknowledgments
| Name | Affiliation |
|---|---|
| Ms. Josephine Ulengchong | Work Investment Act (WIA) |
Sampling
Sampling Procedure
A sample of 20 per cent was considered more than sufficient for Palau. An additional 10 per cent of sample was selected to allow for sample loss. As a result, a sample size of 1,041 households (20 per cent of 4,684, with a 10 per cent top-up) was considered suitable for the survey.
Six target areas were identified as sub-populations for which estimates would be desirable. These six areas, which also can be considered stratum were:
1) Koror
2) Airai
3) East Babeldaob
4) West Babeldaob
5) Peleliu
6) Kayangel/Angaur
To accommodate this requirement, the sample of 1,041 households needed to be distributed amongst each of these six strata in such a manner that the level of accuracy derived from each stratum would be roughly equal. The manner in which this is achieved is to over-sample (proportion wise) from the smaller strata to ensure they still have sufficient sample.
To make workloads even and manageable in the field for interviewers and supervisors, the final sample size was adjusted such that it was divisible by 15 within each stratum. The number 15 was chosen as it was considered a suitable number of dwellings for an interviewer to enumerate over a three week period.
Another modification to the sample was with Kayangel/ Angaur. Given the required sample for this area was derived to be 60 dwellings, and there are only 73 dwellings in these areas, it was decided to completely enumerate this stratum.
Although it would be desirable to cover all of Palau for this survey, due to cost and time constraints a couple of areas were excluded from the frame before the selections were made. The two areas removed from scope were:
1) Sonsorol
2) Tobi
The impact on final estimates is considered to be very small given the small populations on these two islands; 18 households on Sonsorol, and 10 households on Tobi. This accounts for less than 0.5 per cent of the population of Palau.
The sample of dwellings was selected independently within each stratum. A complete list of all dwellings identified during the recent census was used as a frame. The first task was to sort the dwellings within each stratum by two variables:
1) Hamlet (on Koror) and State (rest of Palau)
2) Household Size (number of persons)
Once the list had been sorted, systematic sampling was used to produce the sample of dwellings. A skip was produced by dividing the population size for each stratum by the required sample size (N/n). Having produced the skip, a random start was then generated between 0 and the skip to determine the starting point for the systematic sample.
For details please refer to the attached document entitled Documentation for Sample Selection.
Six target areas were identified as sub-populations for which estimates would be desirable. These six areas, which also can be considered stratum were:
1) Koror
2) Airai
3) East Babeldaob
4) West Babeldaob
5) Peleliu
6) Kayangel/Angaur
To accommodate this requirement, the sample of 1,041 households needed to be distributed amongst each of these six strata in such a manner that the level of accuracy derived from each stratum would be roughly equal. The manner in which this is achieved is to over-sample (proportion wise) from the smaller strata to ensure they still have sufficient sample.
To make workloads even and manageable in the field for interviewers and supervisors, the final sample size was adjusted such that it was divisible by 15 within each stratum. The number 15 was chosen as it was considered a suitable number of dwellings for an interviewer to enumerate over a three week period.
Another modification to the sample was with Kayangel/ Angaur. Given the required sample for this area was derived to be 60 dwellings, and there are only 73 dwellings in these areas, it was decided to completely enumerate this stratum.
Although it would be desirable to cover all of Palau for this survey, due to cost and time constraints a couple of areas were excluded from the frame before the selections were made. The two areas removed from scope were:
1) Sonsorol
2) Tobi
The impact on final estimates is considered to be very small given the small populations on these two islands; 18 households on Sonsorol, and 10 households on Tobi. This accounts for less than 0.5 per cent of the population of Palau.
The sample of dwellings was selected independently within each stratum. A complete list of all dwellings identified during the recent census was used as a frame. The first task was to sort the dwellings within each stratum by two variables:
1) Hamlet (on Koror) and State (rest of Palau)
2) Household Size (number of persons)
Once the list had been sorted, systematic sampling was used to produce the sample of dwellings. A skip was produced by dividing the population size for each stratum by the required sample size (N/n). Having produced the skip, a random start was then generated between 0 and the skip to determine the starting point for the systematic sample.
For details please refer to the attached document entitled Documentation for Sample Selection.
Response Rate
The overall response rate for Palau was 73%, which was a lower response rate than what was expected. The final response status for the 1,063 households selected in the HIES, 760 households fully responded to the survey, 28 partially responded (of which 16 could be included in the analysis) and 275 didn’t respond at all for various reasons.
For details please refer to section 4.2.1 NON-RESPONSE BIAS in the attached report entitled Republic of Palau Household Income and Expenditure Survey 2006.
For details please refer to section 4.2.1 NON-RESPONSE BIAS in the attached report entitled Republic of Palau Household Income and Expenditure Survey 2006.
Weighting
In order to produce survey weights to produce more meaningful estimates of both population totals and means, weights were derived at the stratum level. The computation of the stratum level weight was a simple process where the estimated number of occupied private households at the time of the survey, was divided by the responding sample for that stratum.
For details please refer to section 3.5 ESTIMATION USING SURVEY WEIGHTS in the attached report entitled Republic of Palau Household Income and Expenditure Survey 2006.
For details please refer to section 3.5 ESTIMATION USING SURVEY WEIGHTS in the attached report entitled Republic of Palau Household Income and Expenditure Survey 2006.
Data Collection
Dates of Data Collection (YYYY/MM/DD)
| Start date | End date |
|---|---|
| 2006-05-01 | 2006-11-30 |
Mode of data collection
Face-to-face [f2f] and Other [oth]
Supervision
The staff involved in the fieldwork comprised of the following:
• Staff from the Office of Planning and Statistics (6)
• Field Supervisors (6)
• Field Enumerators (27)
The staff from the Office of Planning and Statistics were responsible for overseeing the survey fieldwork, as well as supervising the enumerators in Kayangel and Angaur. Each of the remaining strata had one supervisor each, with the exception of Koror which required 2 supervisors. The enumerators were each given between 2-3 workloads spread over a three week period each, in which they were required to enumerate 15 households per workload. As a result, each enumerator was responsible for enumerating between 30 and 45 households each.
For details please refer to section 3.4 FIELD STRATEGY in the attached report entitled Republic of Palau Household Income and Expenditure Survey 2006.
• Staff from the Office of Planning and Statistics (6)
• Field Supervisors (6)
• Field Enumerators (27)
The staff from the Office of Planning and Statistics were responsible for overseeing the survey fieldwork, as well as supervising the enumerators in Kayangel and Angaur. Each of the remaining strata had one supervisor each, with the exception of Koror which required 2 supervisors. The enumerators were each given between 2-3 workloads spread over a three week period each, in which they were required to enumerate 15 households per workload. As a result, each enumerator was responsible for enumerating between 30 and 45 households each.
For details please refer to section 3.4 FIELD STRATEGY in the attached report entitled Republic of Palau Household Income and Expenditure Survey 2006.
Type of Research Instrument
The survey schedules adopted for the HIES included the following:
• Household Control Form
• Expenditure Questionnaire
• Income Questionnaire
• Diary (x2)
Information collected in the four schedules covered the following:
Household Control Form: This form includes the following information:
1. Name
2. Sex
3. Date of Birth
4. Ethnicity
5. Marital Status
6. Educational Attainment
7. Activity Status
8. Literacy Status
9. Internet Usage
Income questionnaire: This questionnaire has 8 sections and includes the following information:
1. Working for Wage and / or Salary
2. Agriculture, livestock, fishing and other sales
3. Other Self Employed & Business Operations
4. Previous Jobs held in the last 12 months
5. Services Provided to Other Private Households
6. Receipts from Custom Occasions
7. Welfare Benefits/Allowances
8. Other Income, including Remittances
Expenditure Questionnaire: This questionnaire has 16 sections and includes the following information:
1. Dwelling characteristics
2. Dwelling tenure
3. Mortgages and loans for purchase of dwellings
4. Insurance policies
5. Construction of new dwellings
6. Major home improvements
7. Household operation
8. Transportation
9. Travel – Domestic & Overseas
10. Education, recreation, sport and culture
11. Loans
12. Credit Cards/ Charge accounts
13. Contribution to benefit schemes
14. Medical and health services
15. Customs Occasions
16. Miscellaneous payments
17. Agricultural Assets
Weekly Diary: This questionnaire has 4 sections and includes the following information:
1. Items Bought
2. Consumption of Items Produced by the Household
3. Gifts
4. Winnings from Betting, Raffles and Lotteries
For the household control form, expenditure questionnaire and income questionnaire, a face-to-face interview was conducted with the household to capture the information. For the two diaries, the first diary was left with the household for the first week, for the household to fill out. After the first week, the diary is picked up and the second week diary is dropped off to be filled out and picked up at the end of second week. Interviewers were required to contact each household every two to three days to make sure households were filling out their diaries appropriately.
• Household Control Form
• Expenditure Questionnaire
• Income Questionnaire
• Diary (x2)
Information collected in the four schedules covered the following:
Household Control Form: This form includes the following information:
1. Name
2. Sex
3. Date of Birth
4. Ethnicity
5. Marital Status
6. Educational Attainment
7. Activity Status
8. Literacy Status
9. Internet Usage
Income questionnaire: This questionnaire has 8 sections and includes the following information:
1. Working for Wage and / or Salary
2. Agriculture, livestock, fishing and other sales
3. Other Self Employed & Business Operations
4. Previous Jobs held in the last 12 months
5. Services Provided to Other Private Households
6. Receipts from Custom Occasions
7. Welfare Benefits/Allowances
8. Other Income, including Remittances
Expenditure Questionnaire: This questionnaire has 16 sections and includes the following information:
1. Dwelling characteristics
2. Dwelling tenure
3. Mortgages and loans for purchase of dwellings
4. Insurance policies
5. Construction of new dwellings
6. Major home improvements
7. Household operation
8. Transportation
9. Travel – Domestic & Overseas
10. Education, recreation, sport and culture
11. Loans
12. Credit Cards/ Charge accounts
13. Contribution to benefit schemes
14. Medical and health services
15. Customs Occasions
16. Miscellaneous payments
17. Agricultural Assets
Weekly Diary: This questionnaire has 4 sections and includes the following information:
1. Items Bought
2. Consumption of Items Produced by the Household
3. Gifts
4. Winnings from Betting, Raffles and Lotteries
For the household control form, expenditure questionnaire and income questionnaire, a face-to-face interview was conducted with the household to capture the information. For the two diaries, the first diary was left with the household for the first week, for the household to fill out. After the first week, the diary is picked up and the second week diary is dropped off to be filled out and picked up at the end of second week. Interviewers were required to contact each household every two to three days to make sure households were filling out their diaries appropriately.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Office of Planning & Statistics, Bureau of Budget and Planning | OPS | Ministry of Finance |
Data Appraisal
Estimates of Sampling Error
To determine the impact of sampling error on the survey results, relative standard errors (RSEs) for key estimates were produced.
The estimates for Total Income and Total Expenditure from the HIES can be considered to be very good, from a sampling error perspective. The same can also be said for the Wage and Salary estimate in income and the Food estimate in expenditure, which make up a high proportion of each respective group.
Some of the other estimates should be used with caution, depending on the magnitude of their RSE. Some of these high RSEs are to be expected, due to the expected degree of variability for how households would report for these items. For example, with Business Income (RSE 30.1%), most households would report no business income as no household members undertook this activity, whereas other households would report large business incomes as it’s their main source of income.
Relative Standard Errors for key estimates at the region level can be found in Appendix 2 of the survey report.
The estimates for Total Income and Total Expenditure from the HIES can be considered to be very good, from a sampling error perspective. The same can also be said for the Wage and Salary estimate in income and the Food estimate in expenditure, which make up a high proportion of each respective group.
Some of the other estimates should be used with caution, depending on the magnitude of their RSE. Some of these high RSEs are to be expected, due to the expected degree of variability for how households would report for these items. For example, with Business Income (RSE 30.1%), most households would report no business income as no household members undertook this activity, whereas other households would report large business incomes as it’s their main source of income.
Relative Standard Errors for key estimates at the region level can be found in Appendix 2 of the survey report.
Data Appraisal
Non-response bias
In was seen that 760 households fully responded to the survey, 28 partially responded (of which 16 could be included in the analysis) and 275 didn’t respond at all for various reasons. Despite the table indicating that the vast majority of nonresponses were “vacant/out-of-scope”, this was unlikely as the dwellings were occupied at the time of the census, only one year prior to the HIES. The assumption was therefore made that these households were more than likely mis-coded during the HIES collection, and would more likely have been a refusal or non-contact.
In was seen that 760 households fully responded to the survey, 28 partially responded (of which 16 could be included in the analysis) and 275 didn’t respond at all for various reasons. Despite the table indicating that the vast majority of nonresponses were “vacant/out-of-scope”, this was unlikely as the dwellings were occupied at the time of the census, only one year prior to the HIES. The assumption was therefore made that these households were more than likely mis-coded during the HIES collection, and would more likely have been a refusal or non-contact.
Data access
Contact
| Name | Affiliation | |
|---|---|---|
| Director, Bureau of Budget & Planning | Ministry of Finance | [email protected] |
Confidentiality Declaration
As contained in the Letter of the Minister of Finance to the respondent household:
"All information collected in this survey will be used only for Statistical purposes and shall be held in strict confidentiality. All enumerators, supervisors, Office of Statistics staff and all personnel that will be involved in the survey shall be required to take an oath of confidentiality/ secrecy to ensure survey information are kept confidential and used for the purpose explained above and nothing else. The ownership of the data belongs to the people of the Republic of Palau, data security, confidentiality and institutional ownership will be held with the Office of Statistics, Bureau of Budget and Planning, Ministry of Finance and will be made available to partner development organizations and other institutions/individuals provided the confidentiality issue is upheld."
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Contacts
Contact
| Affiliation | URI | |
|---|---|---|
| Office of Planning and Statistics | [email protected] | https://www.palaugov.pw/budgetandplanning |
Metadata production
Document ID
DDI_SPC_PLW_2006_HIES_v01_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Muriell Sinsak | MS | Bureau of Budget & Planning, MOF | Survey Documentation |
Date of Production
2012-07-16
Document version
Version 01 (July 2012). First documentation using IHSN Toolkit.