This paper analyzes trade in an asymmetric 2×2×2 world, where the two countries, labelled America and Europe, differ in their attitudes towards wage inequality. In both America and Europe, fair wage considerations compress differentials between the wages for skilled and unskilled workers,...

Combining administrative data on German workers with commercial data on German firms, we find evidence for a distance effect on the multinational wage premium: Foreign multinationals pay lower wages than German multinationals if the ultimate owner is located in close proximity to Germany,...

This paper sets up a general equilibrium model, in which firms are heterogeneous due to productivity differences and workers have fairness preferences and hence provide full effort only if their factor return is sufficiently high. With the wage considered to be fair by workers depending on the...

This paper formulates a structural empirical model of heterogeneous firms whose workers exhibit fair-wage preferences, leading to a link between a firm's operating profits and wages of workers employed by this firm. We estimate the parameters of the model in a data-set of five European...

We develop a general equilibrium two-country model with heterogeneous producers and rent sharing at the firm level due to fairness preferences of workers. We identify two sources of a multinational wage premium. On the one hand, there is a pure composition effect because multinational firms are...

In this paper, we introduce the fairness approach to efficiency wages into a standard model of international fragmentation. This gives us a theoretical framework in which wage inequality and unemployment rates are co-determined and therefore the public concern can be addressed that international...

We set up a trade model with heterogeneous firms and a worker population that is heterogeneous in two dimensions: workers are either skilled or unskilled, and within each skill category there is a continuum of abilities. Workers with high abilities, both skilled and unskilled, are matched to...