We suggest a development-compatible refunding system designed to mitigate climate change. Industrial countries pay an initial fee into a global fund. Each country chooses its national carbon tax. Part of the global fund is refunded to developing and industrial countries, in proportion to the...

We propose a development-compatible refunding system designed to mitigate climate change. Industrial countries pay an initial fee into a global fund. Each country chooses its national carbon tax. Part of the global fund is refunded to developing and industrial countries, in proportion to the...

We propose a development-compatible refunding system designed to mitigate climate change. Industrial countries pay an initial fee into a global fund. Each country chooses its national carbon tax. Part of the global fund is refunded to developing and industrial countries, in proportion to the...

We propose a development-compatible refunding system designed to mitigate climate change. Industrial countries pay an initial fee into a global fund. Each country chooses its national carbon tax. Part of the global fund is refunded to developing and industrial countries, in proportion to the...

We propose a development-compatible refunding system designed to mitigate climate change. Industrial countries pay an initial fee into a global fund. Each country chooses its national carbon tax. Part of the global fund is refunded to developing and industrial countries, in proportion to the...

We present a model of stereotypes in which a decision maker assessing a group recalls only that group's most representative or distinctive types relative to other groups. Because stereotypes highlight differences between groups, and neglect likely common types, they are especially inaccurate...

We present a model of stereotypes in which a decision maker assessing a group recalls only that group's most representative or distinctive types relative to other groups. Because stereotypes highlight differences between groups, and neglect likely common types, they are especially inaccurate...