We study the role of social long-term care (LTC) insurance when income taxation and private insurance markets are imperfect. Policy instruments include public provision of LTC as well as a subsidy on private insurance. The subsidy scheme may be linear or nonlinear. For the linear part we...

We study the political determination of the level of social long-term care insurance when voters also choose private insurance and saving amounts. Agents di§er in income, probability of becoming dependent and of receiving family help. Social insurance redistributes across income and risk...

We study the political determination of the level of social long-term care insurance when voters also choose private insurance and saving amounts. Agents differ in income, probability of becoming dependent and of receiving family help. Social insurance redistributes across income and risk...

We study the political determination of the level of social long-term care insurance when voters also choose private insurance and saving amounts. Agents differ in income, probability of becoming dependent and of receiving family help. Social insurance redistributes across income and risk...

This Paper starts from the result of Rochet (1989), that with distortionary income taxes social insurance is a desirable redistributive device when risk and ability are negatively correlated. This finding is re-examined when ex post moral hazard and adverse selection are included, and under...

We develop a model of capital tax competition in which imperfectly competitive firms choose both the number of plants they operate and their location. When compared to models with single-plant firms, the presence of multinationals reverses some standard results. First, instead of being...

The world is replete with spatial frictions. Shipping goods across cities entails trade frictions. Commuting within cities causes urban frictions. How important are these frictions in shaping the spatial economy? We develop and quantify a novel framework to address this question at three...

We use detailed micro-geographic data to document the location patterns of Canadian manufacturing industries and changes in those patterns during the first decade of 2000. Depending on industry classifications and years, 40 to 60% of industries are geographically localized, i.e., are spatially...

In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of data. NNs are enjoying increasing interest in...