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AbstractSTAR METRICS is a data platform that is being voluntarily and collaboratively developed by U.S. federal science agencies and research institutions to describe investments in science and their results. It initially emerged as a result of reporting requirements associated with the 2009 American Recovery and Reinvestment Act; it has developed in response to a recognized need to begin to systematically document federal investments in science and their immediate and long‐term results. The eventual goal is to draw information from existing data on scientific and economic activities as well as from research institutions' and federal science agencies' systems to provide data that can be used for a more scientific analysis of science investments and their outcomes.

Abstract. The relative fiscal efficacy of using differential assessment as a means of preserving agricultural land is examined. A simple model of land use and land rent determination is developed and tested. An implication is that differential assessment merely delays or retards, but does not prevent, the conversion of land to developed uses. Differential assessment is viewed as a tax expenditure, or special tax reduction, that in essence leases development rights, Landowners are also shown to be overcompensated for the development rights implicitly acquired by the public sector. The fee simple purchase of development rights or regulatory control over the use of development rights can be employed to preserve farm land at a lower fiscal cost.

Every day, in every sector of our economy, a business shuts down while another starts up, jobs are created while others are cut, and workers are hired while others are laid off. This constant flux, or turbulence, is a defining characteristic of our free market system, yet it mostly inspires angst about unemployment, loss of earnings, and the overall competitiveness of corporations. But is this endless cycle of fluctuation really so bad for America? Might something positive be going on in the economy as a result of it? In this penetrating work, three esteemed economists seek to answe

This paper uses an integrated employer–employee data‐set to answer two key questions: (i) What is the equilibrium amount of worker reallocation? (ii) How much does firm‐level job reallocation affect worker reallocation? About 26% of workers who had previously exhibited a substantial degree of attachment to their employer change jobs in a given year. About two‐thirds of this reallocation is roughly evenly split within and across broadly defined industries. Firm‐level job and worker reallocation substantially increases the probability of transition for even the most stable group of workers, even after controlling for individual characteristics and firm and industry tenure.