Involuntary job loss in administrative data is commonly identified by focusing on mass-layoffs or plant closures. However, such events usually do not happen without prior knowledge, which potentially leads to selection in the labor turnover of distressed firms. We find that workers separating...

Involuntary job loss in administrative data is commonly identified by focusing on mass-layoffs or plant closures. However, such events usually do not happen without prior knowledge, which potentially leads to selection in the labor turnover of distressed firms. We find that workers separating...

Involuntary job loss in administrative data is commonly identified by focusing on mass-layoffs or plant closures. However, such events usually do not happen without prior knowledge, which potentially leads to selection in the labor turnover of distressed firms. We find that workers separating...

The paper investigates the impact of involuntary job loss on severe debt problems in Finland, where up to 50% of income may be subject to wage garnishment for 25 years. We use linked employer-employee data combined with unique administrative records covering debt enforcements from 2007 to 2018....

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...

Involuntary job loss in administrative data is commonly identified by focusing on mass-layoffs or plant closures. However, such events usually do not happen without prior knowledge, which potentially leads to selection in the labor turnover of distressed firms. We find that workers separating...

This paper reviews recent developments in nonparametric identi.cation of mea- surement error models and their applications in applied microeconomics, in particular, in empirical industrial organization and labor economics. Measurement error models describe mappings from a latent distribution to...

This paper reviews recent developments in nonparametric identi.cation of mea- surement error models and their applications in applied microeconomics, in particular, in empirical industrial organization and labor economics. Measurement error models describe mappings from a latent distribution to...

I analyze the job separation process to learn about gender differences in job separation rates and employment stability. An essential finding is that employer-employee data are required to identify gender differences in job separation probabilities because of labor market segregation. Failure to...