Articles

The adverse effects of unemployment are a cause for concern for all demographic groups but they will be most acute for those experiencing the highest unemployment rates. In particular, high levels of unemployment are observed for a range of immigrant groups across many countries. However, there is considerable variation both across and within countries. It is therefore important to determine the factors that are most likely to cause high rates of unemployment, especially from a migration perspective, and to identify appropriate policy responses (e.g. enhancing human capital and improving job search effectiveness).

In addition to the traditional education system targeting children and youth, one potentially important vehicle to improve literacy and numeracy skills is adult literacy programs (ALPs). In many developing countries, however, these programs do not seem to achieve these hoped for, ex ante, objectives and have therefore received less attention, if not been largely abandoned, in recent years. But, evidence shows that ALPs do affect other important socio-economic outcomes such as health, household income, and labor market participation by enhancing participants’ health knowledge and income-generating activities.

The EU’s largest economy, Germany, has managed to find an effective and unique combination of flexibility and rigidity in its labor market. Institutions that typically characterize rigid labor markets are effectively balanced by flexibility instruments. Important developments since 2000 include steadily decreasing unemployment rates (since 2005), increasing participation rates, and (since 2011) moderately increasing labor compensation. The German labor market has also been remarkably robust to the impacts of the Great Recession, thus providing a useful case study for other developed countries.

Research finds that hot weather causes a fall in birth rates nine months later. Evidence suggests that this decline in births is due to hot weather harming reproductive health around the time of conception. Birth rates only partially rebound after the initial decline. Moreover, the rebound shifts births toward summer months, harming infant health by increasing third trimester exposure to hot weather. Worse infant health raises health care costs in the short term as well as reducing labor productivity in the longer term, possibly due to lasting physiological harm from the early life injury.

By supporting aggregate demand, including by easing financial constraints that affect businesses and house­holds, accommodative monetary policy increased employment during the 2008 financial crisis and its aftermath. But, monetary policies that ease financial pressures also reduce necessary restructuring that normally contributes to productivity growth. One reason why productivity growth has been weaker in the aftermath of the crisis is that aggressive monetary policy actions have weakened underlying supply-side performance and labor productivity.

The discussion on how economic activity affects employment in large and small businesses is critical for the formulation of labor policies, especially during recessions. Knowing how firm size is related to job creation and job destruction is important to design effective policies aimed at dampening employment fluctuations. Recent evidence for developed countries indicates that large firms are proportionately more sensitive to cycles than small firms; however, this pattern is not confirmed for periods of credit constraint or in a developing country context, where small businesses might be more sensitive due to more extreme credit constraints.

There are a myriad of economic and non-economic forces behind the decision to migrate. Migrants can be “pushed” out of their home countries due to deteriorating economic conditions or political unrest. Conversely, migrants are often “pulled” into destinations that offer high wages, good health care, and strong educational systems. In making their decision, individuals compare the net benefits of migration to the costs. By better understanding what forces affect specific migrant flows (e.g. demographic characteristics, migrant networks, and economic conditions), policymakers can set policy to target (or reduce) certain types of migrants.

Companies frequently hire new employees based on referrals from existing employees, who often recommend friends or family members. There are numerous possible benefits from this, such as lower turnover, possibly higher productivity, lower recruiting costs, and beneficial commonalities related to shared employee values. On the other hand, hiring through employee referrals may disadvantage under-represented minorities, entail greater firm costs in the form of higher wages, lead to undesirable commonalities, and reflect nepotism. A growing body of research explores these considerations.

Recent studies show that even irrelevant relative pay information—earnings compared to the past or to others—significantly affects workers’ willingness to work (labor supply) and effort. This effect stems mainly from those whose pay compares unfavorably; accordingly, earning less compared to others or less than in the past significantly reduces one’s willingness to work and effort exerted on the job. Comparing favorably, however, has mixed effects—with usually no effect on effort, but positive or no effects on labor supply. Understanding when relative pay increases labor supply and effort can thus help firms devise optimal payment structures.

Why do different population groups (e.g. rural vs. urban, youth vs. elderly and men vs. women) experience the same objective labor status differently? One hypothesis is that people are more concerned with relative deprivation than objective deprivation and they value their own status relative to the status of their peers—the reference group. One way to test this hypothesis in the labor market is to measure individual differences in labor status while controlling for characteristics that define population groups. This measure is called “relative labor deprivation” and can help policymakers to better understand how labor claims are generated.