We study Austrian job reallocation in the period of 1978 to 1998, using a large administrative dataset where we correct for "spurious" entries and exits of firms. We find that on average 9 out of 100 randomly selected jobs were created within the last year, and that about 9 out of randomly...

We study Austrian job reallocation in the period of 1978 to 1998, using a large administrative dataset where we correct for ?spurious? entries and exits of firms. We find that on average 9 out of 100 randomly selected jobs were created within the last year, and that about 9 out of randomly...

We study Austrian job reallocation in the period of 1978 to 1998, using a large administrative dataset where we correct for spurious entries and exits of firms. We find that on average 9 out of 100 randomly selected jobs were created within the last year, and that about 9 out of randomly...

We study Austrian job reallocation in the period of 1978 to 1998, using a large administrative dataset where we correct for "spurious" entries and exits of firms. We find that on average 9 out of 100 randomly selected jobs were created within the last year, and that about 9 out of randomly...

We study Austrian job reallocation in the period of 1978 to 1998, using a large administrative dataset where we correct for "spurious" entries and exits of firms. We find that on average 9 out of 100 randomly selected jobs were created within the last year, and that about 9 out of randomly...

We study Austrian job reallocation in the period of 1978 to 1998, using a large administrative dataset where we correct for "spurious" entries and exits of firms. We find that on average 9 out of 100 randomly selected jobs were created within the last year, and that about 9 out of randomly...

We study Austrian job reallocation in the period of 1978 to 1998, using a large administrative dataset where we correct for "spurious" entries and exits of firms. We find that on average 9 out of 100 randomly selected jobs were created within the last year, and that about 9 out of randomly...

We explore the impact of mentoring of females and gender segregation on wages using a large longitudinal data set for Portugal. Female managers can protect and mentor female employees by paying them higher wages than male-led firms would do. We find that females can enjoy higher wages in...

We explore the impact of mentoring of females and gender segregation on wages using a large longitudinal data set for Portugal. Female managers can protect and mentor female employees by paying them higher wages than male-led firms would do. We find that females can enjoy higher wages in...

We explore the impact of mentoring of females and gender segregation on wages using alarge longitudinal data set for Portugal. Female managers can protect and mentor femaleemployees by paying them higher wages than male-led firms would do...