Displacement effects with linked data
Linked employer-employee data follow workers after layoffs to estimate earnings losses and re-employment, compared with similar workers not displaced.
GCRI · 工作与技能的未来
Econometrics estimates relationships in labour data: how technology, training and policies affect employment and wages. In this field it evaluates programmes, measures displacement effects and projects workforce needs, with uncertainty stated.
Econometrics applies statistical methods to economic data to estimate relationships, test theories and forecast. It provides empirical evidence on how shocks and policies affect economic outcomes. In work and skills, society and human development and artificial intelligence, econometric evidence estimates how disasters, pandemics and financial shocks affect output, employment and prices. It informs the economic case for 风险. The canonical description is on STEM Commons.
Linked employer-employee data follow workers after layoffs to estimate earnings losses and re-employment, compared with similar workers not displaced.
Training and employment programmes are evaluated with comparison groups to estimate effects on employment and earnings.
Supply and demand models project future skill needs by occupation under scenarios, with ranges rather than single numbers.
模型、其假设、数据和不确定性,以科学家或工程师会核查的形式呈现。结构遵循已发表的方法。所取数值仅为示意,不是研究发现。
The couplings between the systems in labour econometrics: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.
Datasets and records used by econometrics on this platform, with the role each plays and the label its values carry. Sources are listed in 来源登记册.
| 数据 | 角色 | 标签 |
|---|---|---|
| Linked employer-employee data | Worker histories | 已发布统计 |
| 计划记录 | 参与 | 已发布统计 |
| Labour force surveys | Projections | 已发布统计 |
Process explorer · Process
10 steps·4 个阶段
流程
PRISMA 2020 是系统综述的报告指南;各步骤依循其核查清单,而非强制顺序,且没有任何 Nexus 文件采纳它。
报告Outline of an externally published reporting guideline, not a Nexus process and not a record of operation. PRISMA 2020 mainly covers reviews of intervention effects. No Nexus page names it. Every programme is at service level R0.
Models are assessed through specification tests, robustness checks and out-of-sample performance. Results are compared across datasets and methods.
| 核查 | 如何开展 |
|---|---|
| Comparison group validity | Comparison workers are matched on pre-displacement histories |
| Projection back-testing | Past projections are compared with outcomes |
| 稳健性 | Results are tested across specifications |
Endogeneity, measurement error and structural change can bias estimates. Relationships may shift under extreme conditions.
经济发展 stewards econometrics for the Consortium and reviews how it is applied across platforms.
Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
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