While most standard economic models of international trade assume full employment, Carl Davidson and Steven Matusz have argued over the past two decades that this reliance on full-employment modeling is misleading and ill-equipped to tackle many important trade-related questions. This book brings together the authors' pioneering work in creating models that more accurately reflect the real-world connections between international trade and labor markets. The material collected here presents the theoretical and empirical foundations of equilibrium unemployment modeling, which the authors and their collaborators developed to give researchers and policymakers a more realistic picture of how international trade affects labor markets, and of how transnational differences in labor markets affect international trade. They address the shortcomings of standard models, describe the empirics that underlie equilibrium unemployment models, and illustrate how these new models can yield vital insights into the relationship between international trade and employment. This volume also includes an indispensable general introduction as well as concise section introductions that put the authors' work in context and reveal the thinking behind their ideas. Economists are only now realizing just how important these ideas are, making this book essential reading for researchers and students.

This book focuses on the modeling of the transitions in and out of unemployment, given the stochastic processes that break up jobs and lead to the formation of new jobs, and on the implications of this approach for macroeconomic equilibrium and for the efficiency of the labor market. An equilibrium theory of unemployment assumes that firms and workers maximize their payoffs under rational expectations and that wages are determined to exploit the private gains from trade. This book focuses on the modeling of the transitions in and out of unemployment, given the stochastic processes that break up jobs and lead to the formation of new jobs, and on the implications of this approach for macroeconomic equilibrium and for the efficiency of the labor market. This approach to labor market equilibrium and unemployment has been successful in explaining the determinants of the "natural" rate of unemployment and new data on job and worker flows, in modeling the labor market in equilibrium business cycle and growth models, and in analyzing welfare policy. The second edition contains two new chapters, one on endogenous job destruction and one on search on the job and job-to-job quitting. The rest of the book has been extensively rewritten and, in several cases, simplified.

In the United States, some populations suffer from far greater disparities in health than others. Those disparities are caused not only by fundamental differences in health status across segments of the population, but also because of inequities in factors that impact health status, so-called determinants of health. Only part of an individual's health status depends on his or her behavior and choice; community-wide problems like poverty, unemployment, poor education, inadequate housing, poor public transportation, interpersonal violence, and decaying neighborhoods also contribute to health inequities, as well as the historic and ongoing interplay of structures, policies, and norms that shape lives. When these factors are not optimal in a community, it does not mean they are intractable: such inequities can be mitigated by social policies that can shape health in powerful ways. Communities in Action: Pathways to Health Equity seeks to delineate the causes of and the solutions to health inequities in the United States. This report focuses on what communities can do to promote health equity, what actions are needed by the many and varied stakeholders that are part of communities or support them, as well as the root causes and structural barriers that need to be overcome.

Designing a good unemployment insurance scheme is a delicate matter. In a system with no or little insurance, households may be subject to a high income risk, whereas excessively generous unemployment insurance systems are known to lead to high unemployment rates and are costly both from a fiscal perspective and for society as a whole. Andreas Pollak investigates what an optimal unemployment insurance system would look like, i.e. a system that constitutes the best possible compromise between income security and incentives to work. Using theoretical economic models and complex numerical simulations, he studies the effects of benefit levels and payment durations on unemployment and welfare. As the models allow for considerable heterogeneity of households, including a history-dependent labor productivity, it is possible to analyze how certain policies affect individuals in a specific age, wealth or skill group. The most important aspect of an unemployment insurance system turns out to be the benefits paid to the long-term unemployed. If this parameter is chosen too high, a large number of households may get caught in a long spell of unemployment with little chance of finding work again. Based on the predictions in these models, the so-called "Hartz IV" labor market reform recently adopted in Germany should have highly favorable effects on the unemployment rates and welfare in the long run.

We study the role of uncertainty shocks in explaining unemployment dynamics, separating out the role of aggregate and sectoral channels. Using S&P500 data from the first quarter of 1957 to third quarter of 2014, we construct separate indices to measure aggregate and sectoral uncertainty and compare their effects on the unemployment rate in a standard macroeconomic vector autoregressive (VAR) model. We find that aggregate uncertainty leads to an immediate increase in unemployment, with the impact dissipating within a year. In contrast, sectoral uncertainty has a long-lived impact on unemployment, with the peak impact occurring after two years. The results are consistent with a view that the impact of aggregate uncertainty occurs through a “wait-and-see” mechanism while increased sectoral uncertainty raises unemployment by requiring greater reallocation across sectors.