We examine how adaptation to climate change affects the incentives to ratify international environmental agreements (IEAs). In particular, we study the effects of two aspects on the incentives to join a coalition. First, we analyze cross-country differences in adaptation costs. Second, we...

Foreign domestic workers' activities provide important market and non-market services in a large number of middle-income countries as these activities have an impact on the labor force participation and time allocation decisions of household members. This paper provides new evidence on the...

Sedimentation in river beds, which results in social disamenities, is caused by soil erosion in farmed ecosystems surrounding those rivers. This paper introduces a "spatial"" corrective tax on soil erosion. We find that the optimal tax rule will depart from the classical Pigouvian method...

We show that adaptive measures undertaken by countries in the face of climate change, apart from directly reducing the damage caused by climate change, may also indirectly mitigate greenhouse gas emissions by increasing the stable size of international agreements on emission reductions....

We argue for the creation of a carbon liabilities market to address climate change. Each period, countries would be made liable for their share of responsibility in current climate damage. Because liabilities could be traded like financial debt, robustness to strategic manipulations and...

Due to meteorological factors, the distribution of the environmental damage due to climate change bears no relationship to that of global emissions. We argue in favor of offsetting this discrepancy, and propose a global insurance scheme to be financed according to countries' responsibility for...

We observe that a Pigovian climate policy need not exact full payment of the social cost of carbon upon emission to yield optimal incentives. Following this insight, we propose the creation of a carbon liabilities market to address climate change. Each period, countries would be made liable for...

The similarity between objects is a fundamental element of many learning algorithms. Most non-parametric methods take this similarity to be fixed, but much recent work has shown the advantages of learning it, in particular to exploit the local invariances in the data or to capture the possibly...

A standard model of the exploitation of a renewable resource by non-cooperating agents is considered. Under the assumption that the resource is sufficiently productive we prove that there exist infinitely many Markov-perfect Nash equilibria (MPNE). Although these equilibria lead to...

In this paper, we study and put under a common framework a number of non-linear dimensionality reduction methods, such as Locally Linear Embedding, Isomap, Laplacian Eigenmaps and kernel PCA, which are based on performing an eigen-decomposition (hence the name 'spectral'). That framework also...