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.

Spain has the most serious and persistent unemployment problem in Europe, with an unemployment rate that reached 24.6 percent in early 1994. This paper explores the characteristics of this unemployment problem, its causes, and provides a brief discussion of recent labor market reform measures and their likely Impact. A demographic shift in recent years has produced a large rise in female labor force participation and a decrease in agricultural jobs to which the economy has been unable to adjust. The effects of generous unemployment benefits and the large underground economy may explain 6–12 percentage points of the resulting unemployment, but the remainder must be explained by failures and rigidities in the labor market. The paper presents econometric evidence that unemployment displays hysteresis, and that wages are not responsive to changes in the unemployment rate. This evidence supports the claim that insider-outsider factors and rigidities in the legal structure of the labor market are responsible for much of the high unemployment rate. Recent reforms have improved the functioning of the labor market, but they are unlikely to be sufficient to reduce unemployment to single digit rates without further action.

Traditionally, economic growth and business cycles have been treated independently. However, the dependence of GDP levels on its history of shocks, what economists refer to as “hysteresis,” argues for unifying the analysis of growth and cycles. In this paper, we review the recent empirical and theoretical literature that motivate this paradigm shift. The renewed interest in hysteresis has been sparked by the persistence of the Global Financial Crisis and fears of a slow recovery from the Covid-19 crisis. The findings of the recent literature have far-reaching conceptual and policy implications. In recessions, monetary and fiscal policies need to be more active to avoid the permanent scars of a downturn. And in good times, running a high-pressure economy could have permanent positive effects.

Controlling inflation is among the most important objectives of economic policy. By maintaining price stability, policy makers are able to reduce uncertainty, improve price-monitoring mechanisms, and facilitate more efficient planning and allocation of resources, thereby raising productivity. This volume focuses on understanding the causes of the Great Inflation of the 1970s and ’80s, which saw rising inflation in many nations, and which propelled interest rates across the developing world into the double digits. In the decades since, the immediate cause of the period’s rise in inflation has been the subject of considerable debate. Among the areas of contention are the role of monetary policy in driving inflation and the implications this had both for policy design and for evaluating the performance of those who set the policy. Here, contributors map monetary policy from the 1960s to the present, shedding light on the ways in which the lessons of the Great Inflation were absorbed and applied to today’s global and increasingly complex economic environment.