Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Evan Starr"'
Autor:
Mengting Maggie Yuan, Anne Kakouridis, Evan Starr, Nhu Nguyen, Shengjing Shi, Jennifer Pett-Ridge, Erin Nuccio, Jizhong Zhou, Mary Firestone
Publikováno v:
mBio, Vol 12, Iss 2 (2021)
Soils near living and decomposing roots form distinct niches that promote microorganisms with distinctive environmental preferences and interactions. Yet few studies have assessed the community-level cooccurrence of bacteria and fungi in these soil n
Externí odkaz:
https://doaj.org/article/8e39ffc38b33485588c590ca9d41d4d0
Publikováno v:
Employment Research. 30:4-7
Autor:
Evan Starr, Michael Lipsitz
Publikováno v:
Management Science. 68:143-170
We exploit the 2008 Oregon ban on noncompete agreements (NCAs) for hourly-paid workers to provide the first evidence on the impact of NCAs on low-wage workers. We find that banning NCAs for hourly workers increased hourly wages by 2%–3% on average.
Autor:
Evan Starr
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
Autor:
Donna Rothstein, Evan Starr
Publikováno v:
Monthly Labor Review.
We examine the use of noncompete agreements (NCAs) and their relationship with wage bargaining and wage outcomes using new data from the National Longitudinal Survey of Youth 1997. NCAs cover 18 percent of the workers in our sample, and adoption patt
Publikováno v:
The Journal of Law and Economics. 64:53-84
Using nationally representative survey data on 11,505 labor force participants, we examine the use and implementation of noncompete agreements and the employee outcomes associated with thes...
Publikováno v:
The Journal of Law, Economics, and Organization. 36:633-687
Do contracts influence behavior independent of the law governing their enforceability? We explore this question in the context of employment noncompetes using nationally representative data for 11,500 labor force participants. We show that noncompete
Autor:
Evan Starr, Brent Goldfarb
Publikováno v:
Strategic Management Journal. 41:2261-2274
Research Summary We seek to diffuse a graphical tool—binned scatterplots—which we argue can dramatically improve the quality and speed of research in strategic management. In contrast to the current practice of showing plots of predicted values,
Publikováno v:
Strategic Management Journal. 41:1381-1411
Research Summary The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs,