Living Standards Measurement Survey 2003 (Wave 2 Panel)
Albania, 2003
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
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Identification
Survey ID Number
ALB_2003_LSMS_v01_M
Title
Living Standards Measurement Survey 2003 (Wave 2 Panel)
Country
| Name | Country code |
|---|---|
| Albania | ALB |
Study type
Living Standards Measurement Study [hh/lsms]
Series Information
This is the second Living Standards Measurement Survey (LSMS) conducted in Albania and panel with the 2002 LSMS.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Households
- Individuals
- Individuals
Scope
Notes
The Wave 2 questionnaire contained the following modules:
Module1: Control Form (Original and split-off households)
This module contained the details of all household members from Wave 1 as the starting point for Wave 2. Details of person number within the household, name, sex, date of birth of all Wave 1 household members were pre-printed on the form. Prior to feeding forward the sample data each sample member was assigned a unique personal identifier (PID). Each sample member carries their PID with them through the life of the survey regardless of the household they are living in. This was also preprinted on the form. The PID is the key linking variable for cases over time so is critical for the correct identification of sample members. Household roster including details of members who had moved out of the household since Wave 1 and new members who had joined the household, including births.
Module 2: Dwelling, utilities and durable goods
Details of housing conditions, tenure, utilities and cost of utilities, durable goods owned by household
Module 3: Education
Part A collects all details of education and qualifications in the past year for original sample members.
Part B collects details of all education and qualifications for new sample members.
Module 4: Communication
Collects details of internet and mobile phone use
Module5: Health
Reduced version of W1 health module. Collects details of health conditions, usage of health services, smoking, hospital stays, subjective health status
Module 6: Labour
Part A Labour force participation as at W1, job search
Part B Overview past 7 days as at W1
Part C Main and secondary job details as at W1
Part D Employment Grid – new section collects details of all spells in and out of employment/non-employment in past 12 months.
Module 7: Migration
Part A Full migration history past 10 years and in last year
Part B Details of children living away in Albania and abroad
Part C Details of extended family members living abroad
Module 8: Agriculture
Part A Land - reduced version of W1 module
Part B Livestock, access to land - reduced version of W1
Module 9: Credit
Details of loans and why taken out
Module 10: Subjective
Part A Family situation as per W1 – asked of one person only
Part B Rating of local services – asked of HoH and spouse only
Module 11: Interview outcomes
Module 12: Social assistance
Part C as per W1 – receipt of social assistance payments, pensions and benefits
Module1: Control Form (Original and split-off households)
This module contained the details of all household members from Wave 1 as the starting point for Wave 2. Details of person number within the household, name, sex, date of birth of all Wave 1 household members were pre-printed on the form. Prior to feeding forward the sample data each sample member was assigned a unique personal identifier (PID). Each sample member carries their PID with them through the life of the survey regardless of the household they are living in. This was also preprinted on the form. The PID is the key linking variable for cases over time so is critical for the correct identification of sample members. Household roster including details of members who had moved out of the household since Wave 1 and new members who had joined the household, including births.
Module 2: Dwelling, utilities and durable goods
Details of housing conditions, tenure, utilities and cost of utilities, durable goods owned by household
Module 3: Education
Part A collects all details of education and qualifications in the past year for original sample members.
Part B collects details of all education and qualifications for new sample members.
Module 4: Communication
Collects details of internet and mobile phone use
Module5: Health
Reduced version of W1 health module. Collects details of health conditions, usage of health services, smoking, hospital stays, subjective health status
Module 6: Labour
Part A Labour force participation as at W1, job search
Part B Overview past 7 days as at W1
Part C Main and secondary job details as at W1
Part D Employment Grid – new section collects details of all spells in and out of employment/non-employment in past 12 months.
Module 7: Migration
Part A Full migration history past 10 years and in last year
Part B Details of children living away in Albania and abroad
Part C Details of extended family members living abroad
Module 8: Agriculture
Part A Land - reduced version of W1 module
Part B Livestock, access to land - reduced version of W1
Module 9: Credit
Details of loans and why taken out
Module 10: Subjective
Part A Family situation as per W1 – asked of one person only
Part B Rating of local services – asked of HoH and spouse only
Module 11: Interview outcomes
Module 12: Social assistance
Part C as per W1 – receipt of social assistance payments, pensions and benefits
Coverage
Geographic Coverage
National
Producers and sponsors
Primary investigators
| Name |
|---|
| Institute of Statistics of Albania |
Producers
| Name | Role |
|---|---|
| The World Bank | Technical assistance |
Sampling
Sampling Procedure
Sample size is 2,155 households
LSMS Sample Design
The LSMS design consisted of an equal-probability sample of housing units (HUs) within each of 16 explicit strata. These were selected in two stages. The first was to select - within strata - an agreed number of enumeration units (EAs) with probability proportional to number of HUs in the EA (according to 2001 Census data). The second stage was to select 8 HUs systematically from each selected EA. (Substitutes were used where necessary to ensure that 8 households were successfully interviewed in each EA, but I shall ignore that for current purposes.) Although probabilities within strata were (approximately) equal, probabilities varied greatly between the strata. Notably, the mountain region was heavily over-represented and the Central Rural region was under-represented in the sample.
Panel Survey Sample Design
The LSMS was so-designed, partly to enable separate analysis by broad strata (e.g. separate estimates for the mountain region). Regional analysis is much less important for the panel. The sample size will in any case be considerably smaller, so some regional sample sizes would inevitably be too small to permit robust estimation. The prime objective for the panel is to enable national-level estimates with the highest possible precision. To achieve this, the sample was structured in a way that minimises the overall variation in households' selection probabilities. In other words, the sample distribution over strata matched as closely as possible the population distribution.
- Statistical precision for national estimates is greatly improved, compared with the LSMS design. Design effects (under the assumption of equal stratum population variances) can be expected to be around 1.02 for the panel sample, compared with 1.28 for the LSMS sample. In other words, a panel sample of 1500 interviews would give precision equivalent to an equal-probability sample of 1172 households if it followed the LSMS distribution of households over strata, but gives precision equivalent to an equal-probability sample of 1471 households with the panel design. Precision is also further improved by retaining all 450 EAs in the sample, thus reducing the design effect due to the clustering (as mean responding sample size per cluster will reduce from 8.0 to around 3.3);
- The design was simple to implement as, within each stratum, the number of households to select was the same in each EA. (Note that sampling fractions have been expressed as a fraction of 8 for this reason);
- The sample size was set so as to make it likely that the number of achieved interviews would be between 1600 and 1700. Substitute households were not be used in the case of non-response.
Rather, all attempts were made to maximise the response rate. This enables the use of potentially powerful non-response weighting using the LSMS data.
Panel design
The Albanian panel survey sample was selected from households interviewed on the 2002 LSMS conducted by INSTAT with support from the World Bank. The sample size for the panel took approximately half the LSMS households and has re-interviewed these households annually in each of 2003 and 2004. The LSMS data collected in 2002 therefore constitute 'Wave 1' of the panel survey and giving three waves of panel data altogether. The fieldwork for Wave 3 was carried out in the spring of 2004.
The sample selected from the LSMS for the panel was designed to provide a nationally representative sample of households and individuals within Albania (see Appendix B for full description of the sample design and selection procedure). This differs from the LSMS where the sample was designed to be representative of each strata which broadly represented the main regions in Albania so that regional level statistics could be generated (Mountain, Central, Coastal, Tirana).
The panel also has no over-sampling as in the LSMS. This design was adopted as the smaller sample size for the panel would have made it more difficult to produce regionally representative samples and increased sampling error while over-sampling can introduce additional complications for analysis in the context of a panel. The panel data can be used for analysis broken down by strata to assess any differences between areas but should not be used to produce cross-sectional estimates at the regional level. The relatively small sample size for the panel must always be considered as cell sizes which are small have higher levels of error and can produce estimates which are less reliable. Panel surveys have a number of elements of which data users need to be aware when carrying out their analysis. The main features of the panel design are as follows:
- All members of Wave 1 households were designated as original sample members (OSMs) including children aged under 15 years.
- New members living with an OSM become eligible for inclusion in the sample
- All sample members are followed as they move address and any new members found to be living in their household included
- Sample members moving out of Albania are considered to be out of scope for that year of the survey (note that they remain potentially eligible for interview and it is possible they may return to a sample household at a future wave)
- From Wave 2, only household members aged 15 years and over are eligible for interview. As children turn 15, they become eligible for interview (This differs from the LSMS where the individual questionnaire collected some data on children under 15 from the mother or main carer).
The panel is essentially an individual level survey as individuals are followed over time regardless of the household they are living in at a given interview point. This is the key element of the panel design. Households change in composition over time as members move in and out, children are born and others die. New households are formed as people marry or children leave the parental home and households can disappear if all members die or all members move in different directions. The fact that households do not remain constant over time means that it is only possible to follow individuals over time, observing them in their household context at each interview point.
It should also be noted that a 'household' is not equivalent to a current address. A household may move to a new address but maintain the same composition. Similarly, an individual sample member may move between several addresses during the life of the survey. In this design, there is no substitution or recruitment of new households moving into addresses vacated by sample members.
LSMS Sample Design
The LSMS design consisted of an equal-probability sample of housing units (HUs) within each of 16 explicit strata. These were selected in two stages. The first was to select - within strata - an agreed number of enumeration units (EAs) with probability proportional to number of HUs in the EA (according to 2001 Census data). The second stage was to select 8 HUs systematically from each selected EA. (Substitutes were used where necessary to ensure that 8 households were successfully interviewed in each EA, but I shall ignore that for current purposes.) Although probabilities within strata were (approximately) equal, probabilities varied greatly between the strata. Notably, the mountain region was heavily over-represented and the Central Rural region was under-represented in the sample.
Panel Survey Sample Design
The LSMS was so-designed, partly to enable separate analysis by broad strata (e.g. separate estimates for the mountain region). Regional analysis is much less important for the panel. The sample size will in any case be considerably smaller, so some regional sample sizes would inevitably be too small to permit robust estimation. The prime objective for the panel is to enable national-level estimates with the highest possible precision. To achieve this, the sample was structured in a way that minimises the overall variation in households' selection probabilities. In other words, the sample distribution over strata matched as closely as possible the population distribution.
- Statistical precision for national estimates is greatly improved, compared with the LSMS design. Design effects (under the assumption of equal stratum population variances) can be expected to be around 1.02 for the panel sample, compared with 1.28 for the LSMS sample. In other words, a panel sample of 1500 interviews would give precision equivalent to an equal-probability sample of 1172 households if it followed the LSMS distribution of households over strata, but gives precision equivalent to an equal-probability sample of 1471 households with the panel design. Precision is also further improved by retaining all 450 EAs in the sample, thus reducing the design effect due to the clustering (as mean responding sample size per cluster will reduce from 8.0 to around 3.3);
- The design was simple to implement as, within each stratum, the number of households to select was the same in each EA. (Note that sampling fractions have been expressed as a fraction of 8 for this reason);
- The sample size was set so as to make it likely that the number of achieved interviews would be between 1600 and 1700. Substitute households were not be used in the case of non-response.
Rather, all attempts were made to maximise the response rate. This enables the use of potentially powerful non-response weighting using the LSMS data.
Panel design
The Albanian panel survey sample was selected from households interviewed on the 2002 LSMS conducted by INSTAT with support from the World Bank. The sample size for the panel took approximately half the LSMS households and has re-interviewed these households annually in each of 2003 and 2004. The LSMS data collected in 2002 therefore constitute 'Wave 1' of the panel survey and giving three waves of panel data altogether. The fieldwork for Wave 3 was carried out in the spring of 2004.
The sample selected from the LSMS for the panel was designed to provide a nationally representative sample of households and individuals within Albania (see Appendix B for full description of the sample design and selection procedure). This differs from the LSMS where the sample was designed to be representative of each strata which broadly represented the main regions in Albania so that regional level statistics could be generated (Mountain, Central, Coastal, Tirana).
The panel also has no over-sampling as in the LSMS. This design was adopted as the smaller sample size for the panel would have made it more difficult to produce regionally representative samples and increased sampling error while over-sampling can introduce additional complications for analysis in the context of a panel. The panel data can be used for analysis broken down by strata to assess any differences between areas but should not be used to produce cross-sectional estimates at the regional level. The relatively small sample size for the panel must always be considered as cell sizes which are small have higher levels of error and can produce estimates which are less reliable. Panel surveys have a number of elements of which data users need to be aware when carrying out their analysis. The main features of the panel design are as follows:
- All members of Wave 1 households were designated as original sample members (OSMs) including children aged under 15 years.
- New members living with an OSM become eligible for inclusion in the sample
- All sample members are followed as they move address and any new members found to be living in their household included
- Sample members moving out of Albania are considered to be out of scope for that year of the survey (note that they remain potentially eligible for interview and it is possible they may return to a sample household at a future wave)
- From Wave 2, only household members aged 15 years and over are eligible for interview. As children turn 15, they become eligible for interview (This differs from the LSMS where the individual questionnaire collected some data on children under 15 from the mother or main carer).
The panel is essentially an individual level survey as individuals are followed over time regardless of the household they are living in at a given interview point. This is the key element of the panel design. Households change in composition over time as members move in and out, children are born and others die. New households are formed as people marry or children leave the parental home and households can disappear if all members die or all members move in different directions. The fact that households do not remain constant over time means that it is only possible to follow individuals over time, observing them in their household context at each interview point.
It should also be noted that a 'household' is not equivalent to a current address. A household may move to a new address but maintain the same composition. Similarly, an individual sample member may move between several addresses during the life of the survey. In this design, there is no substitution or recruitment of new households moving into addresses vacated by sample members.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2003-05 | 2003-07 |
Data Collection Mode
Face-to-face [f2f]
Questionnaires
Questionnaires
Panel questionnaire content
The data for Wave 1 of the panel survey are the LSMS data so contains all the modules carried for the LSMS. To minimise respondent burden and help maintain response rates in the panel survey it was necessary to reduce the length and complexity of the LSMS questionnaire. However, it was also important to maintain comparability in question wording and response categories wherever possible as only variables which are comparable over time can be used for longitudinal analysis. The Wave 2 questionnaire is therefore a reduced version of the LSMS questionnaire with some additional elements that were required for the panel e.g. collecting details of people moving into and out of the household, and some new elements that had not been included on the LSMS. A cross-wave list of variables for Waves 1 and 2 shows which variables have been carried at both waves, which were carried at Wave 1 only and which at Wave 2 only (see ‘Variable Reconciliation LSMS_PANEL_final). The most notable changes were that the LSMS detailed consumption module was not collected at Wave 2 and the agriculture module was a reduced form compared to the LSMS.
The Wave 2 individual questionnaire contains some routing depending on whether or not the person is an original sample member interviewed on the LSMS or a new person who had joined the household since Wave 1. This is because some information only needs to be collected once e.g. place of birth and other information only needs to be updated on an annual basis. For example all qualifications were collected on the LSMS so for original members we only need to know if they have gained any new qualifications in the past year but for new members we need to ask about all qualifications. Users of the data need to be aware of this routing and in some cases may need to get information from an earlier wave if it was not collected at the current wave. Users are recommended to use the data in conjunction with the questionnaires so they are aware of the routing for different sample members.
The data for Wave 1 of the panel survey are the LSMS data so contains all the modules carried for the LSMS. To minimise respondent burden and help maintain response rates in the panel survey it was necessary to reduce the length and complexity of the LSMS questionnaire. However, it was also important to maintain comparability in question wording and response categories wherever possible as only variables which are comparable over time can be used for longitudinal analysis. The Wave 2 questionnaire is therefore a reduced version of the LSMS questionnaire with some additional elements that were required for the panel e.g. collecting details of people moving into and out of the household, and some new elements that had not been included on the LSMS. A cross-wave list of variables for Waves 1 and 2 shows which variables have been carried at both waves, which were carried at Wave 1 only and which at Wave 2 only (see ‘Variable Reconciliation LSMS_PANEL_final). The most notable changes were that the LSMS detailed consumption module was not collected at Wave 2 and the agriculture module was a reduced form compared to the LSMS.
The Wave 2 individual questionnaire contains some routing depending on whether or not the person is an original sample member interviewed on the LSMS or a new person who had joined the household since Wave 1. This is because some information only needs to be collected once e.g. place of birth and other information only needs to be updated on an annual basis. For example all qualifications were collected on the LSMS so for original members we only need to know if they have gained any new qualifications in the past year but for new members we need to ask about all qualifications. Users of the data need to be aware of this routing and in some cases may need to get information from an earlier wave if it was not collected at the current wave. Users are recommended to use the data in conjunction with the questionnaires so they are aware of the routing for different sample members.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| LSMS Data Manager | The World Bank | lsms@worldbank.org | http://go.worldbank.org/QJVDZDKJ60 |
Access conditions
In receiving these data it is recognized that the data are supplied for use within your organization, and you agree to the following stipulations as conditions for the use of the data:
1. The data are supplied solely for the use described in this form and will not be made available to other organizations or individuals. Other organizations or individuals may request the data directly.
2. Three copies of all publications, conference papers, or other research reports based entirely or in part upon the requested data will be supplied to:
INSTAT, Living Condition Sector
Rr. Lek Dukagjini, 5
Tirana, Albania
tel: 355 4 222 411
fax: 355 4 228 300
e-mail: difuzion@instat.gov.al
AND
The World Bank
Development Economics Research Group
LSMS Database Administrator
MSN MC3-306
1818 H Street, NW
Washington, DC 20433, USA
tel: (202) 473-9041
fax: (202) 522-1153
e-mail: lsms@worldbank.org
3. The researcher will refer to the 2003 Albania Living Standards Measurement Survey as the source of the information in all publications, conference papers, and manuscripts. At the same time, the World Bank is not responsable for the estimations reported by the analyst(s).
4. Users who download the data may not pass the data to third parties.
5. The database cannot be used for commercial ends, nor can it be sold.
1. The data are supplied solely for the use described in this form and will not be made available to other organizations or individuals. Other organizations or individuals may request the data directly.
2. Three copies of all publications, conference papers, or other research reports based entirely or in part upon the requested data will be supplied to:
INSTAT, Living Condition Sector
Rr. Lek Dukagjini, 5
Tirana, Albania
tel: 355 4 222 411
fax: 355 4 228 300
e-mail: difuzion@instat.gov.al
AND
The World Bank
Development Economics Research Group
LSMS Database Administrator
MSN MC3-306
1818 H Street, NW
Washington, DC 20433, USA
tel: (202) 473-9041
fax: (202) 522-1153
e-mail: lsms@worldbank.org
3. The researcher will refer to the 2003 Albania Living Standards Measurement Survey as the source of the information in all publications, conference papers, and manuscripts. At the same time, the World Bank is not responsable for the estimations reported by the analyst(s).
4. Users who download the data may not pass the data to third parties.
5. The database cannot be used for commercial ends, nor can it be sold.
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
Institute of Statistics of Albania. Albania Living Standards Measurement Survey 2003. Ref. ALB_2003_LSMS_v01_M. Dataset downloaded from [website/source] on [date].
- the Identification of the Primary Investigator
- the title of the survey (including acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
Institute of Statistics of Albania. Albania Living Standards Measurement Survey 2003. Ref. ALB_2003_LSMS_v01_M. Dataset downloaded from [website/source] on [date].
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.
Metadata production
DDI Document ID
DDI_WB_ALB_2003_LSMS_v01_M
Date of Metadata Production
2010-06-15
DDI Document version
Version 0.1 (June 2010).