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Good Jobs, Bad Jobs
Good Jobs, Bad Jobs provides an insightful analysis of how and why precarious employment is gaining ground in the labor market and the role these developments have played in the decline of the middle class. Kalleberg shows that by the 1970s, government deregulation, global competition, and the rise of the service sector gained traction, while institutional protections for workers—such as unions and minimum-wage legislation—weakened. Together, these forces marked the end of postwar security for American workers. The composition of the labor force also changed significantly; the number of dual-earner families increased, as did the share of the workforce comprised of women, non-white, and immigrant workers. Of these groups, blacks, Latinos, and immigrants remain concentrated in the most precarious and low-quality jobs, with educational attainment being the leading indicator of who will earn the highest wages and experience the most job security and highest levels of autonomy and control over their jobs and schedules. Kalleberg demonstrates, however, that building a better safety net—increasing government responsibility for worker health care and retirement, as well as strengthening unions—can go a long way toward redressing the effects of today’s volatile labor market. There is every reason to expect that the growth of precarious jobs—which already make up a significant share of the American job market—will continue. Good Jobs, Bad Jobs deftly shows that the decline in U.S. job quality is not the result of fluctuations in the business cycle, but rather the result of economic restructuring and the disappearance of institutional protections for workers. Only government, employers and labor working together on long-term strategies—including an expanded safety net, strengthened legal protections, and better training opportunities—can help reverse this trend.
eBook
Using Differences in Knowledge Across Neighborhoods to Uncover the Impacts of the EITC on Earnings
We estimate the impacts of the Earned Income Tax Credit on labor supply using local variation in knowledge about the EITC schedule. We proxy for EITC knowledge in a Zip code with the fraction of individuals who manipulate reported self-employment income to maximize their EITC refund. This measure varies significantly across areas. We exploit changes in EITC eligibility at the birth of a child to estimate labor supply effects. Individuals in high-knowledge areas change wage earnings sharply to obtain larger EITC refunds relative to those in low-knowledge areas. These responses come primarily from intensive-margin earnings increases in the phase-in region.
Journal Article
Bartik Instruments
The Bartik instrument is formed by interacting local industry shares and national industry growth rates. We show that the typical use of a Bartik instrument assumes a pooled exposure research design, where the shares measure differential exposure to common shocks, and identification is based on exogeneity of the shares. Next, we show how the Bartik instrument weights each of the exposure designs. Finally, we discuss how to assess the plausibility of the research design. We illustrate our results through two applications: estimating the elasticity of labor supply, and estimating the elasticity of substitution between immigrants and natives.
Journal Article
Global mobility of highly skilled people : multidisciplinary perspectives on self-initiated expatriation
This volume examines self-initiated expatriates (SIEs), the category of highly skilled people whose movement from one country to another is by choice. Although they are not forced to relocate due to work, conflict or natural disaster, their migration pattern is every bit as complex. The book challenges previous theoretical approaches that take for granted a more simplistic view of this population, and advances that mobility of SIEs relates to the expatriates themselves, their conditions and the different structures intervening in their career life course. With their visible increase worldwide, this book positions itself as a nexus for this on-going discussion, while linking self-initiated expatriation to the theoretical landscape of international skilled migration and mobility. Major interests that catch attention are transnational practices, work-related experiences and personal life course, including forms of inequalities in their migration experiences. The book identifies forms and drivers of migratory behaviour and provides an argument concerning the broader processes of mobility and integration. As such, this book constitutes a departure point for future research in terms of theoretical underpinnings and empirical rigor on global highly skilled mobility of SIEs. The collection of empirical case studies offers an insightful analysis for policy makers, concerned stakeholders and organizations to better cope with this form of migration.
Book
Why Are There Still So Many Jobs? The History and Future of Workplace Automation
In this essay, I begin by identifying the reasons that automation has not wiped out a majority of jobs over the decades and centuries. Automation does indeed substitute for labor—as it is typically intended to do. However, automation also complements labor, raises output in ways that leads to higher demand for labor, and interacts with adjustments in labor supply. Journalists and even expert commentators tend to overstate the extent of machine substitution for human labor and ignore the strong complementarities between automation and labor that increase productivity, raise earnings, and augment demand for labor. Changes in technology do alter the types of jobs available and what those jobs pay. In the last few decades, one noticeable change has been a “polarization” of the labor market, in which wage gains went disproportionately to those at the top and at the bottom of the income and skill distribution, not to those in the middle; however, I also argue, this polarization and is unlikely to continue very far into future. The final section of this paper reflects on how recent and future advances in artificial intelligence and robotics should shape our thinking about the likely trajectory of occupational change and employment growth. I argue that the interplay between machine and human comparative advantage allows computers to substitute for workers in performing routine, codifiable tasks while amplifying the comparative advantage of workers in supplying problem-solving skills, adaptability, and creativity.
Journal Article
The rise of the robots : technology and the threat of mass unemployment
Intelligent algorithms are already well on their way to making white collar jobs obsolete: travel agents, data-analysts, and paralegals are currently in the firing line. In the near future, doctors, taxi-drivers and ironically even computer programmers are poised to be replaced by 'robots'. Without a radical reassessment of our economic and political structures, we risk the very implosion of the capitalist economy itself ... In The Rise of the Robots, technology expert Martin Ford systematically outlines the achievements of artificial intelligence and uses a wealth of economic data to illustrate the terrifying societal implications. From health and education to finance and technology, his warning is stark-all jobs that are on some level routine are likely to eventually be automated, resulting in the death of traditional careers and a hollowed-out middle class. The robots are coming and we have to decide-now-whether the future will bring prosperity or catastrophe.
The impact of immigration: Why do studies reach such different results?
We classify the empirical literature on the wage impact of immigration into three groups, where studies in the first two groups estimate different relative effects, and studies in the third group estimate the total effect of immigration on wages. We interpret the estimates obtained from the different approaches through the lens of the canonical model to demonstrate that they are not comparable. We then relax two key assumptions in this literature, allowing for inelastic and heterogeneous labor supply elasticities of natives and the \"downgrading\" of immigrants. “Downgrading” occurs when the position of immigrants in the labor market is systematically lower than the position of natives with the same observed education and experience levels. Downgrading means that immigrants receive lower returns to the same measured skills than natives when these skills are acquired in their country of origin. We show that heterogeneous labor supply elasticities, if ignored, may complicate the interpretation of wage estimates, and particularly the interpretation of relative wage effects. Moreover, downgrading may lead to biased estimates in those approaches that estimate relative effects of immigration, but not in approaches that estimate total effects. We conclude that empirical models that estimate total effects not only answer important policy questions, but are also more robust to alternative assumptions than models that estimate relative effects.
Journal Article