---
title: "Labour Force Surveys: research papers using this data"
description: "From Nov 2023 to Oct 2026, 270 archived papers mentioned Labour Force Surveys in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Oct 2026 (12)."
url: https://scholar4ai.com/datasets/labour-force-surveys
markdown_url: https://scholar4ai.com/datasets/labour-force-surveys.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 270 archived papers mentioned Labour Force Surveys in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Oct 2026 (12). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# Labour Force Surveys

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/4.md)

Household panels and surveys of Europe, Australia, Japan and Korea.

- data category: European and other national household panels
- 2 papers in the last 7 days
- Names searched for: Labour Force Survey, Labor Force Survey

Most-used data: https://scholar4ai.com/rankings/datasets.md · All European and other national household panels datasets: https://scholar4ai.com/datasets/european-and-other-national-household-panels.md



## Key findings

- From Nov 2023 to Oct 2026, 270 archived papers mentioned Labour Force Surveys in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Oct 2026 (12).
- Labour Force Surveys was mentioned in 11 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #18 of the 246 datasets mentioned.
- By journal category: Economics (8), Management (1), Operations Research (1) and Health Economics and Policy (1).
- Most of them appeared in International Review of Economics (1), Comparative Economic Studies (1) and International Tax and Public Finance (1).
- From 2017 to 2026 (so far), Labour Force Surveys was mentioned in 331 papers in the tracked journals, most of them in economics (256), health economics and policy (20) and management (15).
- 87 of them were published in 2025, against 2 in 2017.
- Since 2023, the institutions with the most of these papers were IZA - Institute of Labor Economics (20), London School of Economics and Political Science (13) and University of Milan (7).
- The journals publishing most of them were Labour Economics (14), Journal of Population Economics (14) and Indian Journal of Labour Economics (13).
- The most-cited of them is “Understanding and measuring skill gaps in Industry 4.0 — A review” (Technological Forecasting and Social Change, 2024), with 176 citations.
- Papers use Labour Force Surveys most often with Eurostat (81), OECD statistics (20) and EU-SILC (17); it has 45 partners in the code and data network, in the group around World Development…, Eurostat, International Energy….

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 88 | 88 | 94 | 270 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [Economics](https://scholar4ai.com/categories/economics.md) | 1 | 1 | 3 | 7 | 9 | 6 | 28 | 69 | 73 | 59 |
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 0 | 1 | 0 | 0 | 2 | 0 | 2 | 8 | 3 | 4 |
| [Management](https://scholar4ai.com/categories/management.md) | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 4 | 4 | 3 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 1 | 1 | 2 | 1 | 0 | 2 | 2 | 2 | 2 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 2 | 5 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 2 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| All categories | 2 | 4 | 5 | 10 | 13 | 7 | 35 | 89 | 87 | 79 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Labour Economics](https://scholar4ai.com/journals/labour-economics.md) | 14 |
| 2 | [Journal of Population Economics](https://scholar4ai.com/journals/journal-of-population-economics.md) | 14 |
| 3 | [Indian Journal of Labour Economics](https://scholar4ai.com/journals/indian-journal-of-labour-economics.md) | 13 |
| 4 | [World Development](https://scholar4ai.com/journals/world-development.md) | 13 |
| 5 | [Journal for Labour Market Research](https://scholar4ai.com/journals/journal-for-labour-market-research.md) | 12 |
| 6 | [Journal of Development Economics](https://scholar4ai.com/journals/journal-of-development-economics.md) | 10 |
| 7 | [The Annals of Regional Science](https://scholar4ai.com/journals/the-annals-of-regional-science.md) | 9 |
| 8 | [The Journal of Economic Inequality](https://scholar4ai.com/journals/the-journal-of-economic-inequality.md) | 9 |
| 9 | [Journal of Public Economics](https://scholar4ai.com/journals/journal-of-public-economics.md) | 8 |
| 10 | [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | 8 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [IZA - Institute of Labor Economics](https://scholar4ai.com/institutions/iza-institute-of-labor-economics.md) | 20 |
| 2 | [London School of Economics and Political Science](https://scholar4ai.com/institutions/london-school-of-economics-and-political-science.md) | 13 |
| 3 | University of Milan | 7 |
| 4 | [University of Oxford](https://scholar4ai.com/institutions/university-of-oxford.md) | 7 |
| 5 | Universidad Carlos III de Madrid | 6 |
| 6 | [University College London](https://scholar4ai.com/institutions/university-college-london.md) | 6 |
| 7 | [University of Birmingham](https://scholar4ai.com/institutions/university-of-birmingham.md) | 5 |
| 8 | [University of Bologna](https://scholar4ai.com/institutions/university-of-bologna.md) | 5 |
| 9 | [University of Milano-Bicocca](https://scholar4ai.com/institutions/university-of-milano-bicocca.md) | 5 |
| 10 | [University of Salerno](https://scholar4ai.com/institutions/university-of-salerno.md) | 5 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | United Kingdom | 73 |
| 2 | Italy | 60 |
| 3 | Germany | 44 |
| 4 | Spain | 41 |
| 5 | United States | 31 |
| 6 | India | 23 |
| 7 | Netherlands | 19 |
| 8 | Australia | 12 |
| 9 | Japan | 12 |
| 10 | Belgium | 11 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) | 29 |
| 2 | [India](https://scholar4ai.com/keywords/india.md) | 20 |
| 3 | women's employment | 18 |
| 4 | Spain | 17 |
| 5 | [gender differences](https://scholar4ai.com/keywords/gender-differences.md) | 15 |
| 6 | [unemployment](https://scholar4ai.com/keywords/unemployment.md) | 15 |
| 7 | Italy | 14 |
| 8 | [educational attainment](https://scholar4ai.com/keywords/educational-attainment.md) | 14 |
| 9 | gender pay gap | 12 |
| 10 | self-employment | 12 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 176 | 5.2 | [Understanding and measuring skill gaps in Industry 4.0 — A review](https://doi.org/10.1016/j.techfore.2024.123206) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | 2024-01-12 | Jenni Rikala, Greta Braun, Miitta Järvinen et al. |
| 2 | 134 | 1.6 | [The Quality of Employment (QoE) in nine Latin American countries: A multidimensional perspective](https://doi.org/10.1016/j.worlddev.2019.104738) | [World Development](https://scholar4ai.com/journals/world-development.md) | 2019-11-27 | Kirsten Sehnbruch, Pablo González, Mauricio Apablaza et al. |
| 3 | 104 | 1.3 | [The intertemporal evolution of agriculture and labor over a rapid structural transformation: Lessons from Vietnam](https://doi.org/10.1016/j.foodpol.2020.101913) | [Food Policy](https://scholar4ai.com/journals/food-policy.md) | 2020-05-28 | Yanyan Liu, Christopher B. Barrett, Trinh Pham et al. |
| 4 | 100 | 0.9 | [Combining official and Google Trends data to forecast the Italian youth unemployment rate](https://doi.org/10.1016/j.techfore.2017.11.022) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | 2017-11-27 | Alessia Naccarato, Stefano Falorsi, Silvia Loriga et al. |
| 5 | 85 | 2.5 | [Forecast reconciliation: A review](https://doi.org/10.1016/j.ijforecast.2023.10.010) | [International Journal of Forecasting](https://scholar4ai.com/journals/international-journal-of-forecasting.md) | 2023-12-29 | George Athanasopoulos, Rob J. Hyndman, Nikolaos Kourentzes et al. |

## Used together with

Papers use Labour Force Surveys most often with Eurostat (81), OECD statistics (20) and EU-SILC (17); it has 45 partners in the code and data network, in the group around World Development…, Eurostat, International Energy….

*What papers use Labour Force Surveys together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [Eurostat](https://scholar4ai.com/datasets/eurostat.md) | Dataset | 81 | 8.1 |
| [OECD statistics](https://scholar4ai.com/datasets/oecd-statistics.md) | Dataset | 20 | 8.3 |
| [EU-SILC](https://scholar4ai.com/datasets/eu-silc.md) | Dataset | 17 | 12.4 |
| [World Development Indicators (World Bank)](https://scholar4ai.com/datasets/world-development-indicators-world-bank.md) | Dataset | 12 | 1.8 |
| [Bureau of Labor Statistics](https://scholar4ai.com/datasets/bureau-of-labor-statistics.md) | Dataset | 8 | 3.2 |
| [European Social Survey](https://scholar4ai.com/datasets/european-social-survey.md) | Dataset | 8 | 5.2 |
| [German Socio-Economic Panel (SOEP)](https://scholar4ai.com/datasets/german-socio-economic-panel-soep.md) | Dataset | 8 | 4.0 |
| [O*NET](https://scholar4ai.com/datasets/o-net.md) | Dataset | 8 | 10.7 |
| [Current Population Survey](https://scholar4ai.com/datasets/current-population-survey.md) | Dataset | 7 | 5.2 |
| [Eurobarometer](https://scholar4ai.com/datasets/eurobarometer.md) | Dataset | 7 | 5.3 |
| [India National Sample Survey](https://scholar4ai.com/datasets/india-national-sample-survey.md) | Dataset | 7 | 12.8 |
| [Demographic and Health Surveys (DHS)](https://scholar4ai.com/datasets/demographic-and-health-surveys-dhs.md) | Dataset | 6 | 2.2 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning Labour Force Surveys in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-11-03 | [Analysing occupational migrant segregation in the European Union using a sample selection framework](https://doi.org/10.1007/s12232-026-00550-0) | [International Review of Economics](https://scholar4ai.com/journals/international-review-of-economics.md) | Pietro Giorgio Lovaglio | University of Milano-Bicocca |
| 2026-10-31 | [Political Favoritism, Public Funds and Manufacturing Firm Performance in Hungary](https://doi.org/10.1057/s41294-026-00291-7) | [Comparative Economic Studies](https://scholar4ai.com/journals/comparative-economic-studies.md) | Vivien Czeczeli, Jarko Fidrmuc, Gábor Kutasi | Ludovika University of Public Service; Zeppelin Universität gemeinnützige GmbH; Mendel University in Brno |
| 2026-10-24 | [Fiscal information and stated willingness to pay taxes: evidence from a survey experiment](https://doi.org/10.1007/s10797-026-10007-3) | [International Tax and Public Finance](https://scholar4ai.com/journals/international-tax-and-public-finance.md) | José María Durán-Cabré, Alejandro Esteller Moré, Riccardo Secomandi | Barcelona Institute of Economics; Universitat de Barcelona; University of Ferrara |
| 2026-10-22 | [Beyond the visible MNE: the “first mile” and the boundaries of IB research](https://doi.org/10.1057/s42214-026-00264-8) | [Journal of International Business Policy](https://scholar4ai.com/journals/journal-of-international-business-policy.md) | Anthony Goerzen, Shengwen Li, Lifang Zhang | Queen's University; Ivey Business School |
| 2026-10-17 | [The role of immigrant caregivers in improving the welfare of elders and reducing public health costs](https://doi.org/10.1007/s00148-026-01216-5) | [Journal of Population Economics](https://scholar4ai.com/journals/journal-of-population-economics.md) | Lisa Capretti, Joanna Aleksandra Kopinska, Rama Dasi Mariani et al. | University of Rome Tor Vergata; Sapienza University of Rome; Roma Tre University |
| 2026-10-13 | [Spatial consequences of tax reforms on tax compliance: econometric evidence from the Italian Minimum Taxpayer Regime](https://doi.org/10.1007/s00168-026-01546-y) | [The Annals of Regional Science](https://scholar4ai.com/journals/the-annals-of-regional-science.md) | Amedeo Argentiero, Paolo Maranzano, Gianluca Monturano et al. | University of Salerno; Fondazione Eni Enrico Mattei; University of Milano-Bicocca; … |
| 2026-10-12 | [Optimizing ergonomics and productivity in automotive assembly lines: a bi-objective integer linear programming approach](https://doi.org/10.1007/s11750-026-00732-7) | [Top](https://scholar4ai.com/journals/top.md) | Gabriel Gazzinelli Guimarães, Sebastião Antônio A. Rodrigues, Kelly Cristina Poldi | Universidade Estadual de Campinas (UNICAMP) |
| 2026-10-09 | [Why do people migrate irregularly? Evidence from a lab-in-the-field experiment in West Africa](https://doi.org/10.1016/j.jpubeco.2026.105800) | [Journal of Public Economics](https://scholar4ai.com/journals/journal-of-public-economics.md) | Tijan L. Bah, Cátia Batista | World Bank Group; NOVA School of Business and Economics; Universidade Nova de Lisboa |
| 2026-10-08 | [Analyzing Female Employment Trends in South Asia](https://doi.org/10.1007/s41996-026-00193-x) | [Journal of Economics Race and Policy](https://scholar4ai.com/journals/journal-of-economics-race-and-policy.md) | Gladys Lopez-Acevedo, Matías Morales, Fatima Najeeb | World Bank; Tulane University; Universidad Andrés Bello; … |
| 2026-10-07 | [Building supply chain resilience through transport worker retention](https://doi.org/10.1016/j.tranpol.2026.104483) | [Transport Policy](https://scholar4ai.com/journals/transport-policy.md) | Debbie Hopkins, Nicky Gregson, Ho‐Yin Chan et al. | University of Oxford; Durham University; University of Sheffield; … |
| 2026-10-07 | [Excluding nonuniversity-certified professionals from Spain’s personal training sector: a narrative review of epidemiological, legal, and economic implications](https://doi.org/10.1016/j.hpopen.2026.100186) | [Health Policy OPEN](https://scholar4ai.com/journals/health-policy-open.md) | Gonzalo Quesada-Fernández, Santiago Jacomet Carrasco, Mario Muñoz López et al. | University of Andorra; Universidad Espíritu Santo; Universidad de Los Lagos |

## Cite this page

Scholar4AI. (2026). Labour Force Surveys. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/labour-force-surveys

```bibtex
@misc{scholar4ai-datasets-labour-force-surveys,
  author = {{Scholar4AI}},
  title = {Labour Force Surveys},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/labour-force-surveys}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).