Evidence-based policy making

IZA World of Labor is an online platform that provides policy analysts, journalists, academics and society generally with relevant and concise information on labor market issues. Based on the latest research, it provides current thinking on labor markets worldwide in a clear and accessible style. IZA World of Labor aims to support evidence-based policy making and increase awareness of labor market issues.

featured article

The dynamics of training programs for the unemployed

Job-search training and occupational skills training are both effective

Aderonke Osikominu

Time plays an important role in both the design and interpretation of evaluation studies of training programs. While the start and duration of a training program are closely linked to the evolution of job opportunities, the impact of training programs in the short and longer term changes over time. Neglecting these “dynamics” could lead to an unduly negative assessment of the effects of certain training schemes. Therefore, a better understanding of the dynamic relationship between different types of training and their respective labor market outcomes is essential for a better design and interpretation of evaluation studies.

MoreLess
  • Big Data in economics

    New sources of data create challenges that may require new skills

    Big Data refers to data sets of much larger size, higher frequency, and often more personalized information. Examples include data collected by smart sensors in homes or aggregation of tweets on Twitter. In small data sets, traditional econometric methods tend to outperform more complex techniques. In large data sets, however, machine learning methods shine. New analytic approaches are needed to make the most of Big Data in economics. Researchers and policymakers should thus pay close attention to recent developments in machine learning techniques if they want to fully take advantage of these new sources of Big Data.
    MoreLess
  • How to reduce workplace absenteeism

    Financial incentives and changes in working conditions are key to many broad and tailor-made programs

    Wolter Hassink, September 2018
    Do workplace programs help reduce worker sickness absence? Many programs are based on the principle that the employee’s decision to report an absence can be influenced if it is costly to be absent. Firms can reduce absenteeism by implementing broad programs, including performance pay, general improvements of working conditions, and strengthening workers’ loyalty to the firm. Specific programs, such as grading partial absence, seem to be effective at reducing long-term absences. However, firms will be less inclined to implement such programs if they can shift the financial burden to social security programs.
    MoreLess
  • Compensating displaced workers

    Uncoordinated unemployment insurance and severance pay do a poor job of insuring against losses resulting from job displacement

    Donald O. Parsons, September 2018
    Job displacement poses a serious earnings threat to long-tenured workers through unemployment spells and lower re-employment wages. The prevailing method of insuring job displacement losses involves an uncoordinated combination of unemployment insurance and severance pay. Less developed countries often rely exclusively on public mandating of employer severance pay due to the administrative complexity of unemployment insurance systems. If both options are operational, systematic integration of the two is important, although perhaps not possible if severance pay is voluntarily provided.
    MoreLess
  • Measuring employment and unemployment

    Should statistical criteria for measuring employment and unemployment be re-examined?

    Measuring employment and unemployment is essential for economic policy. Internationally agreed measures (e.g. headcount employment and unemployment rates based on standard definitions) enhance comparability across time and space, but changes in real labor markets and policy agendas challenge these traditional conventions. Boundaries between different labor market states are blurred, complicating identification. Individual experiences in each state may vary considerably, highlighting the importance of how each employed or unemployed person is weighted in statistical indices.
    MoreLess
show more