This paper analyzes the costs of job loss in China, using unique new data from the Rural-to-Urban Migration in China (RUMIC) data set for the year 2009. We investigate conventional labor market outcomes upon displacement like the length of unemployment spells, hours worked and monthly earnings....

We use the panel data of the German Socio-Economic Panel (SOEP) and of the Ukrainian Longitudinal Monitoring Survey (ULMS) to investigate whether risk attitudes have primary (exogenous) determinants that are valid in different stages of economic development and in a different structural context,...

Having unique data we investigate the link between job separations (displacement and quits) and informal employment, which we define in several ways posing the general question whether the burden of informality falls disproportionately on job separators in the Russian labor market. After we have...

This paper is the first to analyze the costs of job loss in Russia, using unique new data from the Russian Longitudinal Monitoring Survey over the years 2003-2008, including a special supplement on displacement that was initiated by us. We employ fixed effects regression models and propensity...

This paper takes stock of informal employment in Russia analyzing its incidence and determinants. Using the regular waves and an informality supplement of the Russian Longitudinal Monitoring Survey (RLMS) it develops several measures of informal employment and demonstrates that the incidence...

One of the most important factors that determine individuals’ quality of life and wellbeing is their position in the labor market and the type of jobs that they hold. When workers are rationed out of the formal segment of the labor market against their will, i.e., the labor market is...