This paper studies optimal income taxation in an environment where matching frictions generate a trade-off for workers between high wages and low unemployment risk. A higher marginal tax rate shifts the trade-off in favor of low unemployment risk, whereas a higher tax burden or unemployment...

This paper examines the role of EI in providing support to “displaced workers,†those who permanently lose their jobs because of changing circumstances. Adjusting to change benefits Canadians as a whole. However, some workers suffer much more from job loss than do others. Those who...

Change is an enduring feature of the economy and the labour market, even in normal times. The importance of adjusting to change, and of policies that promote adjustment, has been a recurring theme throughout David Dodge’s distinguished career. This paper deals with “displaced...

This paper studies optimal unemployment benefit levels and optimal proportional income tax rates over the business cycle. Previous research suggests that policy makers should make unemployment insurance (UI) dependent on the business cycle because the UI system can be used to smooth consumption...

Conventional measures of unemployment do not capture all dimensions of joblessness. A case in point is underemployment among employed workers, also frequently referred to as parttime unemployment. Workers in this category are employed during a survey week but are unable to work as many hours as...

In this paper we develop an equilibrium search and matching model where two-person families as well as singles participate in the labor market. We show that equilibrium entails wage dispersion among equally productive risk-averse workers. Marital status as well as spousal labor market status...

A significant fraction of the labor force consists of employed workers who are part-time unemployed (underemployed) in the sense that they are unable to work as much as they prefer. This paper develops a search and matching model to study the design of optimal unemployment insurance in an...