Household Income and Expenditure Survey 2016-2017 - Liberia

Abstract
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The main purpose of the Household Income Expenditure Survey (HIES) 2016 was to offer high quality and nationwide representative household data that provided information on incomes and expenditure in order to update the Consumer Price Index (CPI), improve National Accounts statistics, provide agricultural data and measure poverty as well as other socio-economic indicators. These statistics were urgently required for evidence-based policy making and monitoring of implementation results supported by the Poverty Reduction Strategy (I & II), the AfT and the Liberia National Vision 2030. The survey was implemented by the Liberia Institute of Statistics and Geo-Information Services (LISGIS) over a 12-month period, starting from January 2016 and was completed in January 2017. LISGIS completed a total of 8,350 interviews, thus providing sufficient observations to make the data statistically significant at the county level. The data captured the effects of seasonality, making it the first of its kind in Liberia.
Support for the survey was offered by the Government of Liberia, the World Bank, the European Union, the Swedish International Development Corporation Agency, the United States Agency for International Development and the African Development Bank. The objectives of the 2016 HIES were:

1) Update the Consumer Price Index (CPI): To obtain a new set of weights for the basket of goods and services that upgrade the Monrovia Consumer Price Index (MCPI) and the National Consumer Price Index (NCPI) and to revise the CPI basket of goods and services in Liberia to reflect the current consumption pattern of residence.
2) Improve National Accounts Statistics: To get information on annual household expenditure patterns in order to update the household component of the National Accounts.
3) Measure Poverty: To prepare robust poverty indices that enable the understanding of poverty dynamics across the country and of the factors influencing them.
4) Improve Agricultural Statistics: To obtain nationally representative and policy relevant agricultural statistics in order to undertake in-depth analysis of agricultural households.
5) Capture Socio-economic Impact of Ebola Virus Disease (EVD): To obtain a post-EVD dataset which allows for an in-depth analysis of the socioeconomic impact of EVD on households.
6) Benchmark Agenda for Transformation Indicators: To provide an update on selected socioeconomic indicators used to benchmark the government's policies embedded within the Agenda for Transformation.
7) Develop Statistical Capacity: Emphasize capacity building and development of sustainable statistical systems through every stage of the project to produce accurate and timely information about Liberia.

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 original sample design for the HIES exploited two-phased clustered sampling methods, encompassing a nationally representative sample of households in every quarter and was obtained using the 2008 National Housing and Population Census sampling frame. The procedures used for each sampling stage are as follows:

i. First stage
Selection of sample EAs. The sample EAs for the 2016 HIES were selected within each stratum systematically with Probability Proportional to Size from the ordered list of EAs in the sampling frame. They are selected separately for each county by urban/rural stratum. The measure of size for each EA was based on the number of households from the sampling frame of EAs based on the 2008 Liberia Census. Within each stratum the EAs were ordered geographically by district, clan and EA codes. This provided implicit geographic stratification of the sampling frame.

ii. Second stage
Selection of sample households within a sample EA. A random systematic sample of 10 households were selected from the listing for each sample EA. Using this type of table, the supervisor only has to look up the total number of households listed, and a specific systematic sample of households is identified in the corresponding row of the table.

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

Cleaning operations
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The data entry clerk for each team, using data entry software called CSPro, entered data for each household in the field. For each household, an error report was generated on-site, which identified key problems with the data collected (outliers, incorrect entries, inconsistencies with skip patterns, basic filters for age and gender specific questions etc.). The Supervisor along with the Data Entry Clerk and the Enumerator that collected the data reviewed these errors. Call-backs were made to households if necessary, to verify information and rectify the errors while in that EA. Once the data were collected in each EA, they were sent to LISGIS headquarters for further processing along with EA reports for each area visited. The HIES Technical committee converted the data into STATA and ran several consistency checks to manage overall data quality and prepared reports to identify key problems with the data set and called the field teams to update them about the same. Monthly reports were prepared by summarizing observations from data received from the field alongside statistics on data collection status to share with the field teams and LISGIS Management.

摘要
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2016年家庭收入支出调查（HIES）的主要目的是提供高质量、全国代表性的家庭数据，以反映收入和支出情况，从而更新消费者价格指数（CPI）、改善国民账户统计数据、提供农业数据以及衡量贫困和其他社会经济指标。这些统计数据对于基于证据的政策制定和监测减贫战略（I & II）、非洲事务信托和利比里亚国家愿景2030的实施成果至关重要。该调查由利比里亚统计局和地理信息服务局（LISGIS）在2016年1月至2017年1月间进行的12个月期间实施，并在此期间完成。LISGIS共完成了8,350次访谈，从而为县级层面的数据统计显著性提供了足够的观测值。该数据捕捉了季节性影响，成为利比里亚首例。
支持该调查的机构包括利比里亚政府、世界银行、欧盟、瑞典国际发展合作机构、美国国际开发署和非洲开发银行。2016年HIES的目标如下：

1) 更新消费者价格指数（CPI）：获取一套新的商品和服务篮子权重，以提升蒙罗维亚消费者价格指数（MCPI）和国家消费者价格指数（NCPI），并修订利比里亚的CPI商品和服务篮子，以反映居民当前的消费模式。
2) 改善国民账户统计数据：获取关于年度家庭支出模式的信息，以便更新国民账户的家庭部分。
3) 衡量贫困：准备稳健的贫困指数，以便理解全国范围内的贫困动态及其影响因素。
4) 改善农业统计数据：获取具有国家代表性的、与政策相关的农业统计数据，以便进行农业家庭的深入分析。
5) 捕捉埃博拉病毒病（EVD）的社会经济影响：获取EVD后的数据集，以便对EVD对家庭的社会经济影响进行深入分析。
6) 建立转型议程指标基准：提供关于用于评估政府转型议程内嵌入政策的选定社会经济指标的更新。
7) 发展统计能力：强调能力建设和可持续统计系统的发展，以在项目的每个阶段产生关于利比里亚的准确和及时信息。
地理覆盖范围
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全国
分析单元
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家庭
数据类型
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样本调查数据 [ssd]
抽样程序
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HIES的原始样本设计采用了两阶段分层抽样方法，涵盖每个季度的全国代表性家庭样本，并使用2008年国家住房和人口普查抽样框架获得。每个抽样阶段使用的程序如下：

i. 第一阶段
样本选举区域（EA）的选择。2016年HIES的样本EA在每个层内系统性地从抽样框架中EA的有序列表中选择，并根据每个县的城市/农村层分别选择。每个EA的大小是根据2008年利比里亚人口普查中的EA抽样框架中的家庭数量来衡量的。在每个层内，EA根据地区、部落和EA代码进行地理排序，这为抽样框架提供了隐性的地理分层。
ii. 第二阶段
在样本EA中选择样本家庭。从每个样本EA的名单中随机系统地选择了10个家庭。使用此类表格，主管只需查找列出的家庭总数，并在表格的相应行中确定特定的系统性家庭样本。
数据收集方式
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面对面 [f2f]
清洗操作
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每个团队的录入员使用名为CSPro的数据录入软件在实地录入每个家庭的数据。对于每个家庭，现场生成一个错误报告，以识别收集的数据中的关键问题（异常值、错误输入、与跳过模式的矛盾、针对年龄和性别特定问题的基本过滤器等）。主管以及数据录入员和收集数据的调查员审查了这些错误。如果需要，对家庭进行了回访，以核实信息和纠正错误。在收集每个EA的数据后，它们连同每个访问地区的EA报告一起发送到LISGIS总部进行进一步处理。HIES技术委员会将数据转换为STATA，并运行了多个一致性检查，以管理整体数据质量，并准备报告以识别数据集中的关键问题，并召集现场团队更新他们。
每月报告通过总结从实地收到的数据观察结果以及数据收集状态的统计数据来准备，以便与现场团队和LISGIS管理层分享。