According to national accounts data, value added per worker is much higher in the non-agricultural sector than in agriculture in the typical country, and particularly so in developing countries. Taken at face value, this "agricultural productivity gap'' suggests that labor is greatly...

According to national accounts data, value added per worker is much higher in the non-agricultural sector than in agriculture in the typical country, and particularly so in developing countries. Taken at face value, this "agricultural productivity gap" suggests that labor is greatly misallocated...

According to national accounts data, value added per worker is much higher in the nonagricultural sector than in agriculture in the typical country, particularly in developing countries. Taken at face value, this "agricultural productivity gap'' suggests that labor is greatly misallocated across...

According to national accounts data, value added per worker is much higher in the non-agricultural sector than in agriculture in the typical country, and particularly so in developing countries. Taken at face value, this "agricultural productivity gap" suggests that labor is greatly misallocated...

We use a novel approach to studying the heterogeneity in the job finding rates of the nonemployed by classifying the nonemployed by labor force status (LFS) histories, instead of using only one-month LFS. Job finding rates differ substantially across LFS histories: they are 25-30% among those...