International Trade and Collective Bargaining Outcomes: Evidence from German Employer–Employee Data

In theoretical trade models with variable mark‐ups and collective wage bargaining, exposure to international markets might reduce the exporter wage premium. We test this prediction using linked German employer–employee data covering the years 1996–2007. To separate the rent‐sharing mechanism from assortative matching, we exploit individual worker information to construct profitability measures that are free of skill composition. Our results show that rent‐sharing is less pronounced in more export‐intensive firms or in more open industries. The exporter wage premium is highest for low‐productivity firms. In line with theory, these findings are unique to the subsample of plants covered by collective bargaining.     

Wage differentials across sectors in Europe

Using a unique harmonized linked employer–employee dataset, this paper analyses the structure and determinants of inter‐industry wage differentials in Central and Eastern European countries (Czech Republic, Latvia, Lithuania and Poland) and compares them to those observed in Western European states. Findings show substantial differences in earnings across sectors in all countries, even when controlling for a wide range of employee, job and employer characteristics. The hierarchy of sectors in terms of wages appears to be quite similar in Eastern and Western European countries, although the former tend to have higher levels of dispersion of inter‐industry wage differentials.     

Labour Mobility and Returns to Experience in Foreign Firms*

This paper uses Finnish linked employer–employee panel data to study whether employees are able to appropriate returns to knowledge accumulated in foreign‐owned firms when moving to domestic firms. The estimates indicate that highly educated employees earn a return to prior experience in a foreign‐owned firm, which is over and above the return to other previous experience. These employees do not appear to pay for the knowledge they accumulate in the form of lower starting wages in foreign‐owned firms.     

International Trade and Inter‐Industry Wage Structure in Swedish Manufacturing: Evidence from Matched Employer–Employee Data*

This study examines the inter‐industry wage structure in Swedish manufacturing, using matched employer–employee data for the period 1996 to 2000. First, we used detailed individual and job characteristics to estimate industry‐specific and time‐varying wage premiums. Secondly, we investigated the impact of international trade on wage premiums, controlling for effects of domestic competition and technical progress. Our results suggest that industries that face intensive import competition from low‐income countries have lower wage premiums. Surprisingly, the wage premiums are not related to export intensities. Furthermore, technical progress, measured by investment in R&D activity, appears to enhance inter‐industry wage premiums.     

Job Polarization and Task‐Biased Technological Change: Evidence from Sweden, 1975–2005

In this paper, we show that between 1975 and 2005, Sweden exhibited a pattern of job polarization with expansions of the highest‐ and lowest‐paid jobs compared to middle‐wage jobs. The most popular explanation for such a pattern is the hypothesis of task‐biased technological change, where technological progress reduces the demand for routine middle‐wage jobs but increases the demand for non‐routine jobs located at the tails of the job–wage distribution. However, our estimates do not support this explanation for the 1970s and 1980s. Stronger evidence for task‐biased technological change, albeit not conclusive, is found for the 1990s and 2000s. In particular, there is both a statistically and economically significant growth of non‐routine jobs and a decline of routine jobs. However, results for wages are mixed; while task‐biased technological change cannot explain changes in between‐occupation wage differentials, it does have considerable explanatory power for changes in within‐occupation wage differentials.     

Heroin Consumption,Prices and Addiction: Evidence from Self‐reported Panel Data*

Estimation models of drug demand should encompass the aspect of addiction. Here, we consider two static panel data regression models and two cross‐section models with lags or leads in drug consumption as additional regressors. Heroin injectors attending a needle exchange service in Oslo were interviewed twice, with a one‐year interval. Despite our relatively small sample, we obtain statistically significant price and income responses for nearly all of the models and specifications applied. The sample is split by dealing status, with dealers obtaining price elasticities in the range of [?0.15, ?1.51] and non‐dealers [?0.71, ?1.69]. Somewhat surprisingly, the estimates of the variance of the latent individual‐specific variable are rather low in the panel data models, although higher for non‐dealers than for dealers.