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Integrated Labor Market Panel Surveys ILMPS

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DataCite Commons2024-06-06 更新2025-04-16 收录
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https://dataverse.theacss.org/citation?persistentId=doi:10.25825/FK2/MYRLVY
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The Economic Research Forum (ERF) has undertaken a number of labor market panel surveys (LMPSs) across countries and time. This data set integrates (harmonizes) these surveys, including: · The 1988 special round of the Labor Force Sample Survey (LFSS) · The 1998, 2006, 2012, and 2018 rounds of the Egypt Labor Market Panel Survey (ELMPS) · The 2010 and 2016 rounds of the Jordan Labor Market Panel Survey (JLMPS) · The 2014 round of the Tunisia Labor Market Panel Survey (TLMPS) The harmonization is designed to create comparable data that can facilitate cross-country and comparative research. All the surveys incorporate similar survey designs, with data on households and individuals within those households. Most incorporate a specific questionnaire on household enterprises and migrants. Not all variables from the original surveys are included in the integrated surveys, but work is ongoing to add further variables. Future survey rounds will also be integrated. The Integrated Consumption and Poverty Estimates for the Labor Market Panel Surveys are an extension of the Labor Market Panel Surveys (LMPSs), providing consumption estimates for households included in the LMPSs. Per capita consumption is modeled based on contemporaneous Household Income, Expenditure, and Consumption Surveys (HIECSs) and overlapping variables for each country and round. As well as predicted consumption from the underlying models, 100 iterations of the imputation that recover the original variance are provided. Consumption can also be compared to poverty lines to estimate the incidence of poverty. To get correct estimates of poverty and inequality statistics or any other outcomes related to consumption, it is necessary to bootstrap across the 100 iterations. Data are designed to be merged with the Integrated Labor Market Panel Survey (ILMPS) data also available from the ERF data portal. Estimates are included for Egypt's 1998, 2006, and 2012 rounds, along with the Jordan 2010 and Tunisia 2014 LMPSs. The sample is households from the Egypt 1998, 2006, 2012, Jordan 2010, and Tunisia 2014 rounds of the LMPSs. However, when missing data on one or more variables precluded inclusion of a household in the consumption model, it was excluded from the data. For further details, see "Estimating Poverty and Inequality in the Absence of Consumption Data: An Application to the Middle East and North Africa" by Caroline Krafft, Ragui Assaad, Hanan Nazier, Racha Ramadan, and Atiyeh Vahidmanesh; available among the external resources. The data may be accessed through the ERF Data Portal: http://www.erfdataportal.com/index.php/catalog/158

经济研究论坛(Economic Research Forum, ERF)针对多国及不同时段开展了多项劳动力市场追踪调查(Labor Market Panel Surveys, LMPSs)。本数据集整合(标准化对齐)了上述调查,具体包括: · 1988年劳动力样本调查(Labor Force Sample Survey, LFSS)特别轮次 · 1998、2006、2012、2018年埃及劳动力市场追踪调查(Egypt Labor Market Panel Survey, ELMPS)各轮次 · 2010、2016年约旦劳动力市场追踪调查(Jordan Labor Market Panel Survey, JLMPS)各轮次 · 2014年突尼斯劳动力市场追踪调查(Tunisia Labor Market Panel Survey, TLMPS)轮次 本次标准化对齐工作旨在构建可跨国家、跨研究比较的数据集,以支撑跨国比较研究。所有纳入的原始调查均采用相似的设计框架,采集家庭及家庭内部个体的相关数据;多数调查包含针对家庭经营主体与移民的专属问卷。 原始调查中的部分变量未纳入整合数据集,但目前仍在推进新增变量的整合工作,未来的调查轮次也将被纳入本数据集。 劳动力市场追踪调查配套的整合消费与贫困估算数据集是LMPSs的延伸产品,为LMPSs涵盖的家庭提供消费估算结果。人均消费测算基于同期开展的家庭收入、支出与消费调查(Household Income, Expenditure, and Consumption Surveys, HIECSs),以及对应国家与调查轮次的重叠变量完成建模。除基于基础模型得到的预测消费值外,本次估算还提供了100次重复插补结果以还原原始方差。用户可将消费数据与贫困线进行比对,以测算贫困发生率。 若要得到准确的贫困与不平等统计量,或其他与消费相关的分析结果,需针对这100次插补迭代开展自助法(Bootstrap)重抽样。本数据集可与经济研究论坛数据门户同步上线的整合劳动力市场追踪调查(Integrated Labor Market Panel Survey, ILMPS)数据进行合并匹配。 估算结果涵盖埃及1998、2006、2012年轮次,以及约旦2010年、突尼斯2014年的LMPSs样本。本次分析的样本为埃及1998、2006、2012年轮次,约旦2010年轮次及突尼斯2014年轮次的LMPSs家庭样本。若某家庭因一项或多项变量存在缺失值,无法纳入消费测算模型,则会被排除出本数据集。 如需了解更多细节,请参阅Caroline Krafft、Ragui Assaad、Hanan Nazier、Racha Ramadan及Atiyeh Vahidmanesh合著的《在缺乏消费数据的情境下估算贫困与不平等:中东与北非地区的应用》一文,该文献可在外部资源库中获取。本数据集可通过经济研究论坛数据门户访问:http://www.erfdataportal.com/index.php/catalog/158
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ACSS Dataverse
创建时间:
2023-06-08
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