Living Standards Measurement Survey 2007 - Serbia

Abstract
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This study aims to help address the issue of the appropriate use of statistical data in policy development in Serbia. Faced with enterprise restructuring, high unemployment and high levels of social exclusion, as well as the consequences of internal population displacement, the Government of Serbia (GoS) has recognized and acknowledged the need for fundamental reforms in social policy area and the collection of adequate data of social statistics. Reliable household data are scarce in Serbia, with the result that social policy making is put on a precarious basis. The exceptional circumstances of Serbia have left a legacy of immense complexity, in which social groups have become fractured and excluded. A statistically reliable basis for policy making, particularly in the social sphere, is a priority. Data on poverty and living standards are seen as a part of information system to support decision making by the GoS and its line Ministries. The public is also keenly interested in poverty data. Therefore poverty data are also crucially important for strategic planning bodies within GoS, and for donors in assessing their strategies in support of the Poverty Reduction Strategy (PRS).

Geographic coverage
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National

Analysis unit
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Households

Kind of data
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Sample survey data [ssd]

Sampling procedure
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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 District (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 District were stratified according to:
(1) Region in 6 strata (Vojvodina, Belgrade, West Serbia, Sumadija and Pomoravlj e, East Serbia and South East Serbia)
(2) Type of settlement (urban and other)

The allocation of EDs according to region and type of settlement was propoI1ionai 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 71 40 households from 510 selected EDs. Within each ED 14 occupied dwellings were selected. From each selected occupied dwelling 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 non-response rate of around 30%. The final response rate was 78%, producing a sample size of 5,557 households.

Sampling deviation
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The overall estimated total number of households from the 2007 LSMS based on the final weights is about 10 percent lower than the corresponding figure from the 2002 Census frame. The difference is larger for the rural strata (12.1 percent) than the urban strata (8.7 percent). These differences probably include an actual decline in the number of households in some strata and may also reflect the quality of the updating of the listing of occupied dwelling units in sample EDs.

Mode of data collection
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Face-to-face [f2f]

Response rate
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Response rate was 78 percent

摘要
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本研究旨在协助解决塞尔维亚在政策制定中统计数据的合理使用问题。面对企业重组、高失业率以及社会排斥现象的加剧，以及内部人口迁移的后果，塞尔维亚政府（GoS）已认识到在社会政策领域进行根本性改革以及收集充分社会统计数据的需求。在塞尔维亚，可靠的住户数据极为匮乏，因此社会政策的制定处于不稳定的基础之上。塞尔维亚的特殊情况遗留了巨大的复杂性，社会群体因此分裂并被边缘化。在政策制定中，尤其是在社会领域，建立统计学上的可靠基础是一项优先任务。贫困和生活水平数据被视为支持塞尔维亚政府及其相关部门决策的信息系统的一部分。公众对贫困数据也表现出极大的关注。因此，贫困数据对于塞尔维亚政府内的战略规划机构以及对于评估其在支持减贫战略（PRS）方面的策略的捐助者来说，也至关重要。
地理覆盖范围
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全国
分析单元
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住户
数据类型
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样本调查数据 [ssd]
抽样程序
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LSMS的研究人口包括塞尔维亚共和国居民，不包括科索沃和梅托希亚。LSMS的抽样框架基于为2002年塞尔维亚人口普查划定的普查区（ED），排除了那些住户少于20户的普查区。据估计，被排除的普查区内的住户仅占塞尔维亚人口的约1%。抽样框架还排除了居住在集体宿舍、机构以及临时住房单元的人口，以及无家可归的人口：这些群体也仅占人口的不到1%，因此抽样框架应覆盖至少98%的塞尔维亚人口。分层与之前LSMS的做法相同。普查区根据以下标准进行分层：
(1) 区域分为6个层级（沃伊vodina、贝尔格莱德、西塞尔维亚、Sumadija和Pomoravlj e、东塞尔维亚和东南塞尔维亚)
(2) 居住类型（城市和其他）
根据区域和居住类型对普查区进行分配，与已占用住宅的数量成比例，并在区域层面提供足够的估计精度。为了在每个区域提供最佳的样本量，我们决定每个层级的最低分配的普查区数量应为60。这一程序的结果是，分配略偏离严格的成比例分配。2007年LSMS的样本量为510个选定的普查区中的71,40户住户。在每个普查区内，选择了14个已占用住宅。从每个选定的已占用住宅中，选择了一户（使用Kish Grid）。样本量是根据实现5,000户住户访谈的目标来确定的，预计非响应率为约30%。最终响应率为78%，产生了5,557户住户的样本。
抽样偏差
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根据最终权重估计的2007年LSMS的总住户数，比2002年普查框架中的相应数字低约10%。这一差异在农村层（12.1%）比城市层（8.7%）更大。这些差异可能包括某些层居民户数的实际下降，也可能反映了样本普查区中已占用住宅单位清单更新的质量。
数据收集方式
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面对面 [f2f]
响应率
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响应率为78%