Contractibility and the Design of Research Agreements
By Josh Lerner, Ulrike Malmendier. 2008
196 citations recorded by the source corpus.
Subfields: Accounting, Economics and Econometrics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/c057a9aeabde9cad73a1f253c9b19722595c856a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
- Inés Macho-Stadler
- David Pérez-Castrillo
- Albert Banal‐Estañol
- R. Rajan
- Douglas W. Diamond
- Thomas Philippon
- V. Acharya
- Amiyatosh Purnanandam
In Economics and Econometrics
- Inés Macho-Stadler
- David Pérez-Castrillo
- Albert Banal‐Estañol
- R. Rajan
- Till van Treeck
- Ben W. Ansell
- Douglas W. Diamond
- Dani Rodrik
In Management Science and Operations Research
Citations in the corpus
- Bankruptcy spillover effects on strategic alliance partners (2012, unknown): “For example, one partner can exploit the other by exerting insufficient effort, underinvesting, or expropriating a disproportionately large share of the joint surplus created by the strategic relationship (Lerner and Malmendier, 2010).”
- Presidential Address: The Corporation in Finance (2012, background): “…(VC), which, more than any other area of corporate finance, has recognized the links between the corporation and financing (see, for example, Bhide (2000, 2008), Hellmann and Puri (2000, 2002), Kaplan and Stromberg (2003), Kaplan, Sensoy, and Stromberg (2009), and Lerner and Malmendier (2010)).”
- Research Output From University–Industry Collaborative Projects (2013, background): “…agreements (see, e.g., Pérez-Castrillo & Sandonís, 1996, for the moral hazard problem linked to the disclosure of knowhow in research joint ventures; Pereira, 2007, for universityfirm collaborations; and Lerner & Malmendier, 2010, for cases where the funding can be diverted to other projects).”
- University Innovation and the Professor's Privilege (2016, unknown): “These difference-in-difference regressions thus generally take the form:20 = + + + × + + (2) In the relevant regression models, we cluster standard errors at the individual level.”