Living Standards Measurements Study - Serbia 2002 - 2007

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12.2. Data production Data files are available in SPSS. The data is fully documented and available from the World Bank website. (www.worldbank.org/lsms). Identifiers The key variables for linking the files are: 1. Opstina (municipality) 2. PopKrug (enumeration district) 3. Dom (household number within ED) 4. Lice (person number within the household) Structure of SPSS files Name of file Description Number of cases Household Individual HOUSEHOLD LEVEL Date of visit, length of time of interview etc. migration data for IDPs from Kosovo and Metohija Durable goods owned by the household Housing, Social benefits, Household subjective financial status, Agricultural holding, water and sanitation supply and expenditure, weights INDIVIDUAL LEVEL Basic demographic details of all household members Migration questions Take up and non-take up of Child Allowance Health status of all Preschool, school and university education Employment, using LFS definitions to all adults aged 15+ OTHER 5 557 17 375 Durables Ownership of durables in the household 48 060 Diary One week diary completed by household on expenditure on food and drink 196 702 Nonfoodconsumption Expenditure on non food items 248 064 Data_for_imputting_rents Data on housing value and size for various types of accommodation 689 EnumerationDistrict Questions on infrastructure and services for each ED in the sample 510 ED_section3 Section of the Enumeration District questionnaire that gathers data on projects to improve the infrastructure that have been completed in the last few years in each ED 465 166 Living Standards Measurements Study - Serbia 2002 - 2007
12.3. Sampling 12.3.1. Sample description The population for LSMS consists of Republic of Serbia residents, excluding Kosovo and Metohija. The sampling frame for the LSMS was based on the Enumeration Districts (ED) delineated for the 2002 Serbia Census, excluding those with less than 20 households. It is estimated that the households in the excluded EDs only represent about 1 percent of the population of Serbia. The sampling frame also excludes the population living in group quarters, institutions and temporary housing units, as well as the homeless population; these groups also represent less than 1 percent of the population, so the sampling frame should cover at least 98 percent of the Serbian population. Stratification was done in the same way as for the previous LSMSs. Enumeration Districts were stratified according to: • Region in 6 strata (Vojvodina, Belgrade, West Serbia, Sumadija and Pomoravlje, East Serbia and South East Serbia). • Type of settlement (urban and other). The allocation of EDs according to region and type of settlement was proportional to the number of occupied dwellings, adjusted to provide sufficient precision of estimates at the regional level. To provide optimal sample sizes in each region we decided that the minimum number of allocated EDs to each stratum should be 60. The result of this procedure was a slight deviation from strictly proportional allocation. The sample size for LSMS 2007 was 7140 households from 510 selected EDs. Within each ED 14 occupied dwellings were selected. From each selected occupied dwellings one household was selected (using a Kish Grid). The sample size was determined according with the aim of achieving 5 000 household interviews with an expected nonresponse rate of around 30%. The final response rate was 78%, producing a sample size of 5 557 households. A three stage stratified sample was used. 1 st stage – Enumeration District selection EDs were selected systematically with probability proportional to size (PPS) within each stratum (region and settlement type) from the list of Methodology EDs. The size of each EDs was the number of occupied dwellings according to Census 2002. EDs were sorted within each stratum according to the serial numbers. Using systematic selection on the sorted list a high level of implicit geographical stratification and effective sample distribution was achieved. 2 nd stage – Occupied Dwelling selection – including an update of dwellings in selected EDs Occupied dwellings were selected from each selected ED (selected in the first stage) from updated dwelling lists systematically with equal probabilities. Update of EDs Although time was short and funds were not yet available it was agreed that it was important to update the selected EDs before specific dwellings were selected. The update took place from 5-15 April 2007 with data entry completed two weeks later. The observation unit for updating was each dwelling (household) in an ED. From 2002 Census 510 EDs were selected (114 Belgrade and 396 in other parts of the country). Enumerators were given a map showing the borders of the ED and a list of dwellings. The map and the description of the ED were compared to the actual situation. If a street title was changed, the new address was written onto the list of dwellings. If a new street or dwelling had been constructed, the street name and the house number were added to the list and coded. If a dwelling no longer exists it was crossed out and coded. All dwellings were included even if inhabited by persons were not owners (tenants) and if there was any doubt as to whether a dwelling was occupied or not, it was included. 3 rd stage – Households within occupied dwellings The majority of occupied dwellings consist of one household. If the selected dwelling was occupied by one household then that household was automatically selected. In cases where a selected dwelling was occupied by more than one household the interviewer randomly choose one household using a Kish Grid. The overall probability of selection of a sample household can be expressed as follows: nh × M hi mhi 1 p hij = × × , ' M h M hi khij where: 167
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Living Standards Measurement Study
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Publisher: Statistical Office of th
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The statistical system of Serbia ha
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Living Standards Measurements Study
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1. POVERTY PROFILE IN SERBIA IN THE
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Absolute and extreme poverty of Rom
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Table 1.4. Subjective evaluation of
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However, notwithstanding the highli
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Table 1.8. Poverty by regions in Se
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1.9. Education and demographic feat
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Table 1.14. Poverty by household ty
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Table 1.16. Regression of consumpti
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2. The total number of the poor hal
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Natasa Mijakovac Income and expendi
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Aggregate income does not contain r
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In the five-year period, the struct
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’Х’ axis, except for the last
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Таble 2.6. Average monthly expend
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Graph 2.5. Cumulative overview of h
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2.5. Conclusion 1. From 2002 - 2007
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3. DEMOGRAPHIC CHARACTERISTICS OF T
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widows were aged over 60 and 17 per
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However, there is an increase in th
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4. MIGRATION IN SERBIA Migration as
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Table 4.4. Migration by type of set
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Table 4.6. Migration characteristic
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Graph 4.3. Households by migratory
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5. HOUSING CONDITIONS AND POSSESION
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Table 5.1. Indicators of housing co
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Table 5.2. Households by type of he
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Table 5.5. Proportion of monthly ex
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Table 5.10. Average number of month
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Mirosinka Dinkic Social welfare in
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municipality level. Again, municipa
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6.1.4. Amounts of benefit received
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support from authorities to fill in
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It is noticeable that more PWDs age
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Graph 6.6. PWDs by education level
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6.2.6. Health care of PWDs LSMS sho
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Jasmina Grozdanov Health 7 7.1. Int
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educe the negative trends in the he
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7.5. Use of Health Care Services ac
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given significantly more by residen
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Table 7.1. Average expenditure on s
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Snezana Klasnja Education 8 Introdu
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study of mother tongue and elements
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Graph 8.1. School attendance, relat
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distributed geographically. Accordi
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8.3. Primary education 8.3.1. Gener
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and only children from families wit
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The number of classes and teachers
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Participation of young people in va
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universities, pursuant to approved
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Table 8.1. shows the proportion of
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Endnotes, Part 8 1 All data refer t
Page 118 and 119: 9. EMPLOYMENT STATUS Despite signif
Page 120 and 121: the past five years did not lead to
Page 122 and 123: Table 9.6. Employment and unemploym
Page 124 and 125: If the economic position of the emp
Page 126 and 127: possible to examine hidden unemploy
Page 128 and 129: Graph 9.7. Employment and unemploym
Page 130 and 131: job. While 26 percent of the popula
Page 132 and 133: Table 9.13. Respondents aged 15+ by
Page 135 and 136: Natalija Bogdanov Agriculture 10 10
Page 137 and 138: 10.2. Rural poverty in Serbia Inter
Page 139 and 140: Box 4. Types of Individual Agricult
Page 141 and 142: Graph 10.2. Income of rural househo
Page 143 and 144: favourable compared to the non-agri
Page 145 and 146: The physical capital of agricultura
Page 147 and 148: Graph 10.12. Structure of farms by
Page 149 and 150: The greatest profit from animal liv
Page 151 and 152: Table 10.5. Features of agricultura
Page 153: 7. Bogdanov N. (2007): «Small Rura
Page 156 and 157: 11. WATER AND SANITATION SERVICES (
Page 158 and 159: Table 11.2. Water and sewerage char
Page 160 and 161: The improvements varied by both typ
Page 162 and 163: 11.13. Contact with water suppliers
Page 164 and 165: 162 Living Standards Measurements S
Page 166 and 167: 12. METHODOLOGY 12.1. Fieldwork App
Page 170 and 171: p hij = overall probability of sele
Page 172 and 173: 12.4.1. Comparing number of househo
Page 174 and 175: Table 12.6. New Estimates of Total
Page 176 and 177: ent paid by the tenants was used. I
Page 178 and 179: from the separate survey on regiona
Page 180 and 181: steps. First, the daily caloric val
Page 182 and 183: poverty in Serbia in 2007 were impr
Page 185 and 186: Annex А 183
Page 187 and 188: Annex Table 1.2. Household Sample S
Page 189 and 190: Annex Table 2.2. Monthly consumptio
Page 191 and 192: Annex Table 2.4. Monthly income per
Page 193 and 194: Annex Table 3.3. Household residenc
Page 195 and 196: Annex Table 3.5. Education level (p
Page 197 and 198: Annex Table 3.7. Reason why do not
Page 199 and 200: Annex Table 3.9. Individual economi
Page 201 and 202: Annex Table 3.12. Marital status of
Page 203 and 204: Annex Table 3.14. Economic status o
Page 205 and 206: Annex Table 3.16. Number of househo
Page 207 and 208: Annex Table 3.19. Households with o
Page 209 and 210: Annex Table 3.21. Households by num
Page 211 and 212: Annex Table 5.3. Average number of
Page 213 and 214: Annex Table 5.6. Households with in
Page 215 and 216: Annex Table 5.8. Average household
Page 217 and 218: Annex Table 5.10. Average household
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Annex Table 5.14. Household durable
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Annex Table 5.16. Household ownersh
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Annex Table 6.2. Average amount rec
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Annex Table 6.4. Reasons for non ap
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Annex Table 6.7. Reason did not app
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Annex Table 6.10. Reason did not ap
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Annex Table 7.1. Whether respondent
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Annex Table 7.9. Respondents use of
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Annex Table 7.12. Average frequency
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Table 7.14. Respondents insured in
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Annex Table 7.16. Respondents with
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Annex Table 8.2. Children from 3 to
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Table 8.6. Average number of hours
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Annex Table 8.12. Average amount sp
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Table 8.14. Children from 15 to 19
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Annex Table 8.17. Percentage of cit
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Annex Table 8.20. Average value of
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Annex Table 9.2. Population 15+ by
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Annex Table 9.5. Employed 15+ by Ac
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Annex Table 9.8. Employment by owne
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Annex Table 9.11. Average number of
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Annex Table 9.15. Average amount re
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Annex Table 10.2. Agricultural hous
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Annex Table 10.11. Households which
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Annex Table 10.13. Estimated value
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Annex Table 10.15. Average estimate
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Annex Table 10.18. Agricultural hou
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Living Standards Measurements Study - Serbia 2002 - 2007

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