IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2312.06479.html
   My bibliography  Save this paper

Money, Time, and Grant Design

Author

Listed:
  • Kyle Myers
  • Wei Yang Tham

Abstract

The design of research grants has been hypothesized to be a useful tool for influencing researchers and their science. We test this by conducting two thought experiments in a nationally representative survey of academic researchers. First, we offer participants a hypothetical grant with randomized attributes and ask how the grant would influence their research strategy. Longer grants increase researchers' willingness to take risks, but only among tenured professors, which suggests that job security and grant duration are complements. Both longer and larger grants reduce researchers' focus on speed, which suggests a significant amount of racing in science is in pursuit of resources. But along these and other strategic dimensions, the effect of grant design is small. Second, we identify researchers' indifference between the two grant design parameters and find they are very unwilling to trade off the amount of funding a grant provides in order to extend the duration of the grant $\unicode{x2014}$ money is much more valuable than time. Heterogeneity in this preference can be explained with a straightforward model of researchers' utility. Overall, our results suggest that the design of research grants is more relevant to selection effects on the composition of researchers pursuing funding, as opposed to having large treatment effects on the strategies of researchers that receive funding.

Suggested Citation

  • Kyle Myers & Wei Yang Tham, 2023. "Money, Time, and Grant Design," Papers 2312.06479, arXiv.org.
  • Handle: RePEc:arx:papers:2312.06479
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2312.06479
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gustavo Manso, 2011. "Motivating Innovation," Journal of Finance, American Finance Association, vol. 66(5), pages 1823-1860, October.
    2. Holmstrom, Bengt, 1989. "Agency costs and innovation," Journal of Economic Behavior & Organization, Elsevier, vol. 12(3), pages 305-327, December.
    3. Levecque, Katia & Anseel, Frederik & De Beuckelaer, Alain & Van der Heyden, Johan & Gisle, Lydia, 2017. "Work organization and mental health problems in PhD students," Research Policy, Elsevier, vol. 46(4), pages 868-879.
    4. Ramana Nanda & William R. Kerr, 2015. "Financing Innovation," Annual Review of Financial Economics, Annual Reviews, vol. 7(1), pages 445-462, December.
    5. Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2018. "Double/debiased machine learning for treatment and structural parameters," Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-68, February.
    6. Hans K. Hvide & Benjamin F. Jones, 2018. "University Innovation and the Professor's Privilege," American Economic Review, American Economic Association, vol. 108(7), pages 1860-1898, July.
    7. Tania Babina & Alex Xi He & Sabrina T Howell & Elisabeth Ruth Perlman & Joseph Staudt, 2023. "Cutting the Innovation Engine: How Federal Funding Shocks Affect University Patenting, Entrepreneurship, and Publications," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(2), pages 895-954.
    8. Stefanie Stantcheva, 2022. "How to Run Surveys: A Guide to Creating Your Own Identifying Variation and Revealing the Invisible," NBER Working Papers 30527, National Bureau of Economic Research, Inc.
    9. Victor Chernozhukov & Christian Hansen & Martin Spindler, 2015. "Post-Selection and Post-Regularization Inference in Linear Models with Many Controls and Instruments," American Economic Review, American Economic Association, vol. 105(5), pages 486-490, May.
    10. MacLeod, W. Bentley & Urquiola, Miguel, 2020. "Why Does the U.S. Have the Best Research Universities? Incentives, Resources, and Virtuous Circles," IZA Discussion Papers 13203, Institute of Labor Economics (IZA).
    11. Pierre Azoulay & Joshua S Graff Zivin & Danielle Li & Bhaven N Sampat, 2019. "Public R&D Investments and Private-sector Patenting: Evidence from NIH Funding Rules," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(1), pages 117-152.
    12. Fiona Murray & Philippe Aghion & Mathias Dewatripont & Julian Kolev & Scott Stern, 2016. "Of Mice and Academics: Examining the Effect of Openness on Innovation," American Economic Journal: Economic Policy, American Economic Association, vol. 8(1), pages 212-252, February.
    13. Ajay Agrawal & Avi Goldfarb & Florenta Teodoridis, 2016. "Understanding the Changing Structure of Scientific Inquiry," American Economic Journal: Applied Economics, American Economic Association, vol. 8(1), pages 100-128, January.
    14. Kyle R. Myers & Wei Yang Tham & Yian Yin & Nina Cohodes & Jerry G. Thursby & Marie C. Thursby & Peter Schiffer & Joseph T. Walsh & Karim R. Lakhani & Dashun Wang, 2020. "Unequal effects of the COVID-19 pandemic on scientists," Nature Human Behaviour, Nature, vol. 4(9), pages 880-883, September.
    15. Stefan Wager & Susan Athey, 2018. "Estimation and Inference of Heterogeneous Treatment Effects using Random Forests," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1228-1242, July.
    16. Hoegl, Martin & Gibbert, Michael & Mazursky, David, 2008. "Financial constraints in innovation projects: When is less more?," Research Policy, Elsevier, vol. 37(8), pages 1382-1391, September.
    17. Josh Lerner & Julie Wulf, 2007. "Innovation and Incentives: Evidence from Corporate R&D," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 634-644, November.
    18. Philippe Aghion & John Van Reenen & Luigi Zingales, 2013. "Innovation and Institutional Ownership," American Economic Review, American Economic Association, vol. 103(1), pages 277-304, February.
    19. Wang, Jian & Veugelers, Reinhilde & Stephan, Paula, 2017. "Bias against novelty in science: A cautionary tale for users of bibliometric indicators," Research Policy, Elsevier, vol. 46(8), pages 1416-1436.
    20. Thomas Hellmann & Veikko Thiele, 2011. "Incentives and Innovation: A Multitasking Approach," American Economic Journal: Microeconomics, American Economic Association, vol. 3(1), pages 78-128, February.
    21. Xuan Tian & Tracy Yue Wang, 2014. "Tolerance for Failure and Corporate Innovation," The Review of Financial Studies, Society for Financial Studies, vol. 27(1), pages 211-255, January.
    22. Stephan, Paula E., 2010. "The Economics of Science," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 217-273, Elsevier.
    23. Jeffrey L. Furman & Fiona Murray & Scott Stern, 2012. "Growing Stem Cells: The Impact of Federal Funding Policy on the U.S. Scientific Frontier," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 31(3), pages 661-705, June.
    24. Glenn C. Loury, 1979. "Market Structure and Innovation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 93(3), pages 395-410.
    25. Isaiah Andrews & Maximilian Kasy, 2019. "Identification of and Correction for Publication Bias," American Economic Review, American Economic Association, vol. 109(8), pages 2766-2794, August.
    26. James R. Brown & Steven M. Fazzari & Bruce C. Petersen, 2009. "Financing Innovation and Growth: Cash Flow, External Equity, and the 1990s R&D Boom," Journal of Finance, American Finance Association, vol. 64(1), pages 151-185, February.
    27. repec:zbw:bofrdp:urn:nbn:fi:bof-201512141480 is not listed on IDEAS
    28. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    29. Bryan, Kevin A. & Lemus, Jorge & Marshall, Guillermo, 2022. "R&D competition and the direction of innovation," International Journal of Industrial Organization, Elsevier, vol. 82(C).
    30. Florian Ederer & Gustavo Manso, 2013. "Is Pay for Performance Detrimental to Innovation?," Management Science, INFORMS, vol. 59(7), pages 1496-1513, July.
    31. Hanna Hottenrott & Bettina Peters, 2012. "Innovative Capability and Financing Constraints for Innovation: More Money, More Innovation?," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1126-1142, November.
    32. Henry Sauermann & Wesley M. Cohen, 2010. "What Makes Them Tick? Employee Motives and Firm Innovation," Management Science, INFORMS, vol. 56(12), pages 2134-2153, December.
    33. C. Page Moreau & Darren W. Dahl, 2005. "Designing the Solution: The Impact of Constraints on Consumers' Creativity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(1), pages 13-22, June.
    34. Madsen, Emil Bargmann & Aagaard, Kaare, 2020. "Concentration of Danish research funding on individual researchers and research topics: Patterns and potential drivers," SocArXiv j874c, Center for Open Science.
    35. Scott Stern, 2004. "Do Scientists Pay to Be Scientists?," Management Science, INFORMS, vol. 50(6), pages 835-853, June.
    36. Bryan, Kevin A. & Lemus, Jorge, 2017. "The direction of innovation," Journal of Economic Theory, Elsevier, vol. 172(C), pages 247-272.
    37. Pierre Azoulay & Joshua S. Graff Zivin & Gustavo Manso, 2011. "Incentives and creativity: evidence from the academic life sciences," RAND Journal of Economics, RAND Corporation, vol. 42(3), pages 527-554, September.
    38. Froot, Kenneth A & Scharfstein, David S & Stein, Jeremy C, 1993. "Risk Management: Coordinating Corporate Investment and Financing Policies," Journal of Finance, American Finance Association, vol. 48(5), pages 1629-1658, December.
    39. Sauermann, Henry & Roach, Michael, 2014. "Not all scientists pay to be scientists: PhDs’ preferences for publishing in industrial employment," Research Policy, Elsevier, vol. 43(1), pages 32-47.
    40. Wesley M. Cohen & Henry Sauermann & Paula Stephan, 2020. "Not in the Job Description: The Commercial Activities of Academic Scientists and Engineers," Management Science, INFORMS, vol. 66(9), pages 4108-4117, September.
    41. Maximilian Kasy, 2021. "Of Forking Paths and Tied Hands: Selective Publication of Findings, and What Economists Should Do about It," Journal of Economic Perspectives, American Economic Association, vol. 35(3), pages 175-192, Summer.
    42. Pierre Azoulay & Christian Fons-Rosen & Joshua S. Graff Zivin, 2019. "Does Science Advance One Funeral at a Time?," American Economic Review, American Economic Association, vol. 109(8), pages 2889-2920, August.
    43. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    44. Kyle Myers, 2020. "The Elasticity of Science," American Economic Journal: Applied Economics, American Economic Association, vol. 12(4), pages 103-134, October.
    45. Lingfei Wu & Dashun Wang & James A. Evans, 2019. "Large teams develop and small teams disrupt science and technology," Nature, Nature, vol. 566(7744), pages 378-382, February.
    46. Levin, Sharon G & Stephan, Paula E, 1991. "Research Productivity over the Life Cycle: Evidence for Academic Scientists," American Economic Review, American Economic Association, vol. 81(1), pages 114-132, March.
    47. Damon Jones & David Molitor & Julian Reif, 2019. "What do Workplace Wellness Programs do? Evidence from the Illinois Workplace Wellness Study," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 1747-1791.
    48. Victor Chernozhukov & Mert Demirer & Esther Duflo & Iván Fernández-Val, 2018. "Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, with an Application to Immunization in India," NBER Working Papers 24678, National Bureau of Economic Research, Inc.
    49. Jeffrey L. Furman & Scott Stern, 2011. "Climbing atop the Shoulders of Giants: The Impact of Institutions on Cumulative Research," American Economic Review, American Economic Association, vol. 101(5), pages 1933-1963, August.
    50. repec:zbw:bofrdp:2015_028 is not listed on IDEAS
    51. Florenta Teodoridis, 2018. "Understanding Team Knowledge Production: The Interrelated Roles of Technology and Expertise," Management Science, INFORMS, vol. 64(8), pages 3625-3648, August.
    52. Renata Gonçalves Curty & Kevin Crowston & Alison Specht & Bruce W Grant & Elizabeth D Dalton, 2017. "Attitudes and norms affecting scientists’ data reuse," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-22, December.
    53. Reinhilde Veugelers & Jian Wang & Paula Stephan, 2022. "Do Funding Agencies Select and Enable Risky Research: Evidence from ERC Using Novelty as a Proxy of Risk Taking," NBER Working Papers 30320, National Bureau of Economic Research, Inc.
    54. Roach, Michael & Sauermann, Henry, 2010. "A taste for science? PhD scientists' academic orientation and self-selection into research careers in industry," Research Policy, Elsevier, vol. 39(3), pages 422-434, April.
    55. Richard R. Nelson, 1959. "The Simple Economics of Basic Scientific Research," Journal of Political Economy, University of Chicago Press, vol. 67(3), pages 297-297.
    56. Wang, Jian & Lee, You-Na & Walsh, John P., 2018. "Funding model and creativity in science: Competitive versus block funding and status contingency effects," Research Policy, Elsevier, vol. 47(6), pages 1070-1083.
    57. Kyle R. Myers & Wei Yang Tham & Jerry Thursby & Marie Thursby & Nina Cohodes & Karim Lakhani & Rachel Mural & Yilun Xu, 2023. "New Facts and Data about Professors and their Research," Papers 2312.01442, arXiv.org.
    58. Joshua Krieger & Danielle Li & Dimitris Papanikolaou, 2022. "Missing Novelty in Drug Development," The Review of Financial Studies, Society for Financial Studies, vol. 35(2), pages 636-679.
    59. Kevin J. Boudreau & Eva C. Guinan & Karim R. Lakhani & Christoph Riedl, 2016. "Looking Across and Looking Beyond the Knowledge Frontier: Intellectual Distance, Novelty, and Resource Allocation in Science," Management Science, INFORMS, vol. 62(10), pages 2765-2783, October.
    60. Michael Mandler, 2017. "The Benefits of Risky Science," Economic Journal, Royal Economic Society, vol. 127(603), pages 1495-1526, August.
    61. Chang, Wan-Ying & Cheng, Wei & Lane, Julia & Weinberg, Bruce, 2019. "Federal funding of doctoral recipients: What can be learned from linked data," Research Policy, Elsevier, vol. 48(6), pages 1487-1492.
    62. Vira Semenova & Victor Chernozhukov, 2021. "Debiased machine learning of conditional average treatment effects and other causal functions," The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 264-289.
    63. S Claiborne Johnston & Susan Desmond-Hellmann & Stewart Hauser & Eric Vermillion & Nilo Mia, 2015. "Predictors of Negotiated NIH Indirect Rates at US Institutions," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-7, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Blandinieres, Florence & Pellens, Maikel, 2021. "Scientist's industry engagement and the research agenda: Evidence from Germany," ZEW Discussion Papers 21-001, ZEW - Leibniz Centre for European Economic Research.
    2. Kyle R. Myers & Wei Yang Tham & Jerry Thursby & Marie Thursby & Nina Cohodes & Karim Lakhani & Rachel Mural & Yilun Xu, 2023. "New Facts and Data about Professors and their Research," Papers 2312.01442, arXiv.org.
    3. Jeffrey L. Furman & Florenta Teodoridis, 2020. "Automation, Research Technology, and Researchers’ Trajectories: Evidence from Computer Science and Electrical Engineering," Organization Science, INFORMS, vol. 31(2), pages 330-354, March.
    4. ONISHI Koichiro & OWAN Hideo & NAGAOKA Sadao, 2015. "Monetary Incentives for Corporate Inventors: Intrinsic motivation, project selection and inventive performance," Discussion papers 15071, Research Institute of Economy, Trade and Industry (RIETI).
    5. Lu Liu & Benjamin F. Jones & Brian Uzzi & Dashun Wang, 2023. "Data, measurement and empirical methods in the science of science," Nature Human Behaviour, Nature, vol. 7(7), pages 1046-1058, July.
    6. Hasan, Iftekhar & (Stan) Hoi, Chun-Keung & Wu, Qiang & Zhang, Hao, 2020. "Is social capital associated with corporate innovation? Evidence from publicly listed firms in the U.S," Journal of Corporate Finance, Elsevier, vol. 62(C).
    7. Pierre Azoulay & Danielle Li, 2020. "Scientific Grant Funding," NBER Working Papers 26889, National Bureau of Economic Research, Inc.
    8. Gans, Joshua S. & Murray, Fiona E. & Stern, Scott, 2017. "Contracting over the disclosure of scientific knowledge: Intellectual property and academic publication," Research Policy, Elsevier, vol. 46(4), pages 820-835.
    9. Besancenot, Damien & Vranceanu, Radu, 2024. "Reluctance to pursue breakthrough research: A signaling explanation," Research Policy, Elsevier, vol. 53(4).
    10. Caroline Flammer & Aleksandra Kacperczyk, 2016. "The Impact of Stakeholder Orientation on Innovation: Evidence from a Natural Experiment," Management Science, INFORMS, vol. 62(7), pages 1982-2001, July.
    11. Pierre Azoulay & Danielle Li, 2020. "Scientific Grant Funding," NBER Chapters, in: Innovation and Public Policy, pages 117-150, National Bureau of Economic Research, Inc.
    12. Julian Atanassov, 2016. "Arm’s Length Financing and Innovation: Evidence from Publicly Traded Firms," Management Science, INFORMS, vol. 62(1), pages 128-155, January.
    13. Nguyen, Lily & Vu, Le & Yin, Xiangkang, 2020. "The undesirable effect of audit quality: Evidence from firm innovation," The British Accounting Review, Elsevier, vol. 52(6).
    14. Byun, Seong, 2022. "The role of intrinsic incentives and corporate culture in motivating innovation," Journal of Banking & Finance, Elsevier, vol. 134(C).
    15. Richard T. Carson & Joshua Graff Zivin & Jordan J. Louviere & Sally Sadoff & Jeffrey G. Shrader, 2022. "The Risk of Caution: Evidence from an Experiment," Management Science, INFORMS, vol. 68(12), pages 9042-9060, December.
    16. Lin, Yongjia & Fu, Xiaoqing & Fu, Xiaolan, 2021. "Varieties in state capitalism and corporate innovation: Evidence from an emerging economy," Journal of Corporate Finance, Elsevier, vol. 67(C).
    17. Lacetera, Nicola & Zirulia, Lorenzo, 2012. "Individual preferences, organization, and competition in a model of R&D incentive provision," Journal of Economic Behavior & Organization, Elsevier, vol. 84(2), pages 550-570.
    18. Qing Wan & Xiaoke Cheng & Kam C. Chan & Shenghao Gao, 2021. "Born to innovate? The birth‐order effect of CEOs on corporate innovation," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(9-10), pages 1846-1888, October.
    19. Simeth, Markus & Lhuillery, Stephane, 2015. "How do firms develop capabilities for scientific disclosure?," Research Policy, Elsevier, vol. 44(7), pages 1283-1295.
    20. Ramana Nanda & Matthew Rhodes-Kropf, 2012. "Innovation Policies," Harvard Business School Working Papers 13-038, Harvard Business School, revised Mar 2017.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2312.06479. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.