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 · İşin ve Becerilerin Geleceği
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 riskini azaltmada. The canonical description is on STEM Commons'a.
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.
Model, varsayımları, verileri ve belirsizliği, bir bilim insanının veya mühendisin kontrol edeceği biçimde. Yapılar yayımlanmış yöntemleri izler. Çizilen değerler bulgu değil, açıklayıcıdır.
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 kaynak sicilinde.
| Veri | Rol | Etiket |
|---|---|---|
| Linked employer-employee data | Worker histories | Yayımlanmış istatistikler |
| Program kayıtları | Katılım | Yayımlanmış istatistikler |
| Labour force surveys | Projections | Yayımlanmış istatistikler |
Process explorer · Process
10 steps·4 aşama
Süreç
PRISMA 2020, sistematik derlemeler için bir raporlama kılavuzudur; adımlar zorunlu bir sırayı değil, kontrol listesini izler ve hiçbir Nexus belgesi onu benimsemez.
RaporlarOutline 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.
| Kontrol edin | Nasıl yapıldığı |
|---|---|
| Comparison group validity | Comparison workers are matched on pre-displacement histories |
| Projection back-testing | Past projections are compared with outcomes |
| Sağlamlık | Results are tested across specifications |
Endogeneity, measurement error and structural change can bias estimates. Relationships may shift under extreme conditions.
Ekonomik Kalkınma 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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