International Labour Organization (ILO), Regional Economic and Social Analysis Unit (RESA), Regional Office for Asia and the Pacific (ROAP), Bangkok, Thailand.
Division of Health Research, University of Lancaster, Lancaster, UK.
Syst Rev. 2024 Feb 3;13(1):52. doi: 10.1186/s13643-024-02454-y.
Several studies have explored the effects of ill health and health shocks on labour supply. However, there are very few systematic reviews and meta-analyses in this area. The current work aims to fill this gap by undertaking a systematic review and meta-analysis on the effects of ill health and health shocks on labour supply.
We searched using EconLit and MEDLINE databases along with grey literature to identify relevant papers for the analysis. Necessary information was extracted from the papers using an extraction tool. We calculated partial correlations to determine effect sizes and estimated the overall effect sizes by using the random effects model. Sub-group analyses were conducted based on geography, publication year and model type to assess the sources of heterogeneity. Model type entailed distinguishing articles that used the standard ordinary least squares (OLS) technique from those that used other estimation techniques such as quasi-experimental methods, including propensity score matching and difference-in-differences methodologies. Multivariate and univariate meta-regressions were employed to further examine the sources of heterogeneity. Moreover, we tested for publication bias by using a funnel plot, Begg's test and the trim and fill methodology.
We found a negative and statistically significant pooled estimate of the effect of ill health and health shocks on labour supply (partial r = -0.05, p < .001). The studies exhibited substantial heterogeneity. Sample size, geography, model type and publication year were found to be significant sources of heterogeneity. The funnel plot, and the trim and fill methodology, when imputed on the left showed some level of publication bias, but this was contrasted by both the Begg's test, and the trim and fill methodology when imputed on the right.
The study examined the effects of ill health and health shocks on labour supply. We found negative statistically significant pooled estimates pertaining to the overall effect of ill health and health shocks on labour supply including in sub-groups. Empirical studies on the effects of ill- health and health shocks on labour supply have oftentimes found a negative relationship. Our meta-analysis results, which used a large, combined sample size, seem to reliably confirm the finding.
多项研究探索了健康不良和健康冲击对劳动力供应的影响。然而，这方面的系统综述和荟萃分析非常少。目前的工作旨在通过对健康不良和健康冲击对劳动力供应的影响进行系统综述和荟萃分析来填补这一空白。
我们使用 EconLit 和 MEDLINE 数据库以及灰色文献搜索来确定分析相关的论文。使用提取工具从论文中提取必要信息。我们计算偏相关来确定效应大小，并使用随机效应模型估计总体效应大小。基于地理位置、发表年份和模型类型进行亚组分析，以评估异质性的来源。模型类型包括区分使用标准普通最小二乘法（OLS）技术的文章和使用其他估计技术（如倾向评分匹配和差分差异方法）的文章。进行多变量和单变量元回归以进一步检查异质性的来源。此外，我们通过漏斗图、贝格检验和修剪和填充方法检验发表偏倚。
我们发现健康不良和健康冲击对劳动力供应的影响存在负向且具有统计学意义的综合估计（偏相关 r = -0.05，p <.001）。研究显示出很大的异质性。样本量、地理位置、模型类型和发表年份是异质性的重要来源。漏斗图和修剪和填充方法在左侧进行插补时显示出一定程度的发表偏倚，但贝格检验和修剪和填充方法在右侧进行插补时则相反。
本研究考察了健康不良和健康冲击对劳动力供应的影响。我们发现，关于健康不良和健康冲击对劳动力供应的总体影响的负向且具有统计学意义的综合估计，包括在亚组中。关于健康不良和健康冲击对劳动力供应影响的实证研究经常发现负相关关系。我们的荟萃分析结果，使用了一个大型的综合样本量，似乎可靠地证实了这一发现。
