Innovation in the U.S. economy is about employing and rewarding highly talented workers to produce new products. Using unique longitudinal matched employer-employee data, this paper makes a key connection between talent and firms in markets with risky product innovations. We show that software...

Innovation in the U.S. economy is about employing and rewarding highly talented workers to produce new products. Using unique longitudinal matched employer-employee data, this paper makes a key connection between talent and firms in markets with risky product innovations. We show that software...

Firms that want to innovate successfully need to hire and motivate highly talented workers. This paper makes a key connection between the potential returns to innovation in terms of new products and the structure of compensation to skilled employees. We use linked employer-employee data to show...

We estimate the effects of technology investments on the demand for skilled workers using longitudinally integrated employer-employee data from the U.S. Census Bureau's Longitudinal Employer-Household Dynamics Program infrastructure files spanning two Economic Censuses (1992 and 1997). We...

Federal research funding to universities is often based on a desire to stimulate innovation – so that they spend taxpayer money for "something". There is growing understanding of the need to change the structure of research funding in order to do so; less is known about the effectiveness of...

Federal research funding to universities is often based on a desire to stimulate innovation – so that they spend taxpayer money for “something”. There is growing understanding of the need to change the structure of research funding in order to do so; less is known about the effectiveness...

We estimate the effects of technology investments on the demand for skilled workers using longitudinally integrated employer-employee data from the U.S. Census Bureau's Longitudinal Employer-Household Dynamics Program infrastructure files spanning two Economic Censuses (1992 and 1997). We...