Julia Lane
New York University
Publications 257
#1Wan-Ying Chang (NSF: National Science Foundation)
#2Wei Cheng (ECUST: East China University of Science and Technology)
Last.Bruce A. Weinberg (OSU: Ohio State University)H-Index: 26
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Abstract This technical note describes the results of a pilot approach to link administrative and survey data to better describe the richness and complexity of the research enterprise. In particular, we demonstrate how multiple funding channels can be studied by bringing together two disparate datasets: UMETRICS, which is based on university payroll and financial records, and the Survey of Earned Doctorates (SED), which is one of the most important US survey datasets about the doctoral workforce...
#1Julia LaneH-Index: 33
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#1Nathan Goldschlag (United States Census Bureau)H-Index: 3
#2Julia Lane (NYU: New York University)H-Index: 33
Last.Nikolas Zolas (United States Census Bureau)H-Index: 3
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This paper uses transaction‐based data to provide new insights into the link between the geographic proximity of businesses and associated economic activity. It develops two new measures of, and a set of stylized facts about, the distances between observed transactions between customers and vendors for a research intensive sector. Spending on research inputs is more likely with businesses physically closer to universities than those further away. Firms supplying a university project in one year ...
Characterizing the work that people do on their jobs is a longstanding and core issue in labor economics. Traditionally, classification has been done manually. If it were possible to combine new computational tools and administrative wage records to generate an automated crosswalk between job titles and occupations, millions of dollars could be saved in labor costs, data processing could be sped up, data could become more consistent, and it might be possible to generate, without a lag, current i...
#1Britta GlennonH-Index: 1
#2Julia LaneH-Index: 33
Last.Ridhima SodhiH-Index: 1
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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 different organizational structures. Yet, as Jones has pointed out, increasing the efficiency with which we transfer knowledge from one generation to the next could have important implications for innovation ...