Financial Crisis Survey 2009, First Round - Lithuania

Abstract
---------------------------

This research was conducted in Lithuania in June-July 2009 as part of the first round of The Financial Crisis Survey. Data from 239 establishments from private nonagricultural formal sector was analyzed to quantify the effect of the 2008 global financial crisis on companies in Lithuania.

Researchers revisited establishments interviewed in Lithuania Enterprise Survey 2009. Efforts were made to contact all respondents of the baseline survey to determine which of the companies were still operating and which were not. From the information collected during telephone interviews, indicators were computed to measure the effects of the financial crisis on key elements of the private economy: sales, employment, finances, and expectations of the future.

Geographic coverage
---------------------------

National

Analysis unit
---------------------------

The primary sampling unit of the study was the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe
---------------------------

The manufacturing and services sectors were the primary business sectors of interest. This corresponded to firms classified with International Standard Industrial Classification of All Economic Activities (ISIC) codes 15-37, 45, 50-52, 55, 60-64, and 72 (ISIC Rev.3.1). Formal (registered) companies were targeted for interviews. Services firms included construction, retail, wholesale, hotels, restaurants, transport, storage, communications, and IT. Firms with 100% government ownership were excluded.

Kind of data
---------------------------

Sample survey data [ssd]

Sampling procedure
---------------------------

276 establishments that participated in Lithuania Enterprise Survey 2009 were contacted for The Financial Crisis Survey. The implementing contractor received directions that the final achieved sample should include at least 120 establishments.

For Lithuania Enterprise Survey 2009, the sample was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region.

Industry stratification was designed in the way that follows: the universe was stratified into manufacturing industries, services industries, and one residual (core) sector. Each industry had a target of 90 interviews.

Size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not a common practice, except in the sectors of construction and agriculture.

Regional stratification was defined in 4 regions. These regions are Coast and West, North East, South West and Vilniaus.

Given the stratified design, sample frames containing a complete and updated list of establishments for the selected regions were required. Great efforts were made to obtain the best source for these listings. However, the quality of the sample frames was not optimal and, therefore, some adjustments were needed to correct for the presence of ineligible units. These adjustments are reflected in the weights computation.

For most countries covered in 2008-2009 BEEPS two sample frames were used. The first source of the sample frame was Creditreform Lietuva - 2008- Organization database. A copy of that frame was sent to the statistical team in London to select the establishments for interview. The second frame, supplied by the World Bank/EBRD, consisted of enterprises interviewed in BEEPS 2005. The clients required that the attempts should be made to re-interview establishments responding to the BEEPS 2005 survey where they were within the selected geographical regions and met eligibility criteria. That sample is referred to as the Panel.

The quality of the frame was assessed at the onset of the project. The frame proved to be useful though it showed positive rates of non-eligibility, repetition, non-existent units, etc. These problems are typical of establishment surveys, but given the impact these inaccuracies may have on the results, adjustments were needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of contacts to complete the survey was 25.1% (446 out of 1777 establishments).

Mode of data collection
---------------------------

Computer Assisted Telephone Interview [cati]

Research instrument
---------------------------

The following survey instrument is available:
- Financial Crisis Survey Questionnaire

Cleaning operations
---------------------------

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks and callbacks.

摘要
---------------------------
本研究于2009年6月至7月在立陶宛进行，作为《金融危机调查》第一轮调查的一部分。对来自私人非农业正规部门的239个单位的资料进行了分析，以量化2008年全球金融危机对立陶宛公司的影响。
研究人员回顾了在2009年立陶宛企业调查中接受访谈的单位。努力联系所有基线调查的受访者，以确定哪些公司仍在运营，哪些已不再运营。在电话访谈收集的信息中，计算了指标以衡量金融危机对私营经济关键要素的影响：销售、就业、财务状况以及对未来的预期。
地理覆盖范围
---------------------------
全国
分析单位
---------------------------
本研究的主要抽样单位是单位。单位是指进行商业活动和工业运营或提供服务的地方。一个企业可能由一个或多个单位组成。例如，一家啤酒厂可能有几个灌装厂和几个分销单位。在本调查中，单位必须能够做出自己的财务决策，并拥有与其企业财务报表分开的财务报表。单位还必须拥有自己的管理和对其工资单的控制。
总体
---------------------------
制造业和服务业是主要关注的企业部门。这对应于国际标准工业分类（ISIC）代码15-37、45、50-52、55、60-64和72（ISIC Rev.3.1）的企业。旨在对正式（注册）公司进行访谈。服务公司包括建筑、零售、批发、酒店、餐饮、运输、仓储、通信和IT。100%政府拥有权的企业被排除在外。
数据类型
---------------------------
样本调查数据 [ssd]
抽样程序
---------------------------
276个参加了2009年立陶宛企业调查的单位被联系以进行金融危机调查。实施承包商收到了指示，最终实现的样本应至少包括120个单位。
对于2009年立陶宛企业调查，样本采用分层随机抽样方法选取。在该国使用了三个分层级别：行业、单位规模和地区。
行业分层设计如下：总体被分为制造业、服务业和一个残余（核心）部门。每个行业的目标是90个访谈。
规模分层按照标准化的推广定义进行：小型（5至19名员工）、中型（20至99名员工）和大型（超过99名员工）。为了分层的目的，员工数量根据报告的固定全职员工数量定义。这似乎是劳动力的一个适当定义，因为季节性/临时/兼职就业在建筑和农业部门之外并不常见。
地区分层定义在4个地区。这些地区是海岸和西部、东北、西南和维尔纽斯。
鉴于分层设计，需要包含所选地区所有单位和最新列表的样本框。为了获得这些列表的最佳来源，付出了巨大的努力。然而，样本框的质量并不理想，因此需要进行一些调整以纠正不合格单位的存在。这些调整反映在权重计算中。
在2008-2009年BEEPS涵盖的大多数国家中，使用了两个样本框。第一个样本框的来源是Creditreform Lietuva - 2008-组织数据库。该框的副本被发送到伦敦的统计团队以选择访谈单位。第二个由世界银行/EBRD提供的样本框包括在BEEPS 2005中接受访谈的企业。客户要求尝试重新访谈在所选地理区域内且符合资格标准的BEEPS 2005调查的受访者。该样本被称为面板。
在项目开始时评估了样本框的质量。该样本框被证明是有用的，尽管它显示了不合格率的正面趋势，如非合格性、重复、不存在单位等。这些问题是单位调查中典型的，但由于这些不准确可能对结果产生的影响，在计算适当权重时需要进行调整。被确认的非合格单位占总联系完成调查数量的25.1%（446个单位中的1777个）。
数据收集方式
---------------------------
计算机辅助电话访谈 [cati]
研究工具
---------------------------
以下调查工具可用：
- 金融危机调查问卷
数据清理操作
---------------------------
数据输入和质量控制由承包商实施，并将数据分批（通常是10%、50%和100%）交付给世界银行。这些数据交付将检查逻辑一致性、超出范围值、跳过模式和重复条目。问题由世界银行标记，并由实施承包商通过数据检查和回访进行纠正。