IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2510.24916.html
   My bibliography  Save this paper

Productivity Beliefs and Efficiency in Science

Author

Listed:
  • Fabio Bertolotti
  • Kyle Myers
  • Wei Yang Tham

Abstract

We develop a method to estimate producers' productivity beliefs when output quantities and input prices are unobservable, and we use it to evaluate the market for science. Our model of researchers' labor supply shows how their willingness to pay for inputs reveals their productivity beliefs. We estimate the model's parameters using data from a nationally representative survey of researchers and find the distribution of productivity to be very skewed. Our counterfactuals indicate that a more efficient allocation of the current budget could be worth billions of dollars. There are substantial gains from developing new ways of identifying talented scientists.

Suggested Citation

  • Fabio Bertolotti & Kyle Myers & Wei Yang Tham, 2025. "Productivity Beliefs and Efficiency in Science," Papers 2510.24916, arXiv.org.
  • Handle: RePEc:arx:papers:2510.24916
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2510.24916
    File Function: Latest version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. James R. Tybout, 2000. "Manufacturing Firms in Developing Countries: How Well Do They Do, and Why?," Journal of Economic Literature, American Economic Association, vol. 38(1), pages 11-44, March.
    2. Kim, Kyoo il & Petrin, Amil & Song, Suyong, 2016. "Estimating production functions with control functions when capital is measured with error," Journal of Econometrics, Elsevier, vol. 190(2), pages 267-279.
    3. Nicholas Bloom & Raffaella Sadun, 2012. "The Organization of Firms Across Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(4), pages 1663-1705.
    4. Nicholas Bloom & Charles I. Jones & John Van Reenen & Michael Webb, 2020. "Are Ideas Getting Harder to Find?," American Economic Review, American Economic Association, vol. 110(4), pages 1104-1144, April.
    5. Douglas Gollin & Christopher Udry, 2021. "Heterogeneity, Measurement Error, and Misallocation: Evidence from African Agriculture," Journal of Political Economy, University of Chicago Press, vol. 129(1), pages 1-80.
    6. Jan De Loecker & Pinelopi K. Goldberg & Amit K. Khandelwal & Nina Pavcnik, 2016. "Prices, Markups, and Trade Reform," Econometrica, Econometric Society, vol. 84, pages 445-510, March.
    7. Sebastian Hager & Carlo Schwarz & Fabian Waldinger, 2024. "Measuring Science: Performance Metrics and the Allocation of Talent," American Economic Review, American Economic Association, vol. 114(12), pages 4052-4090, December.
    8. John Asker & Allan Collard-Wexler & Jan De Loecker, 2019. "(Mis)Allocation, Market Power, and Global Oil Extraction," American Economic Review, American Economic Association, vol. 109(4), pages 1568-1615, April.
    9. Diego Restuccia & Richard Rogerson, 2017. "The Causes and Costs of Misallocation," Journal of Economic Perspectives, American Economic Association, vol. 31(3), pages 151-174, Summer.
    10. Lakdawalla, Darius N. & Sun, Eric C. & Jena, Anupam B. & Reyes, Carolina M. & Goldman, Dana P. & Philipson, Tomas J., 2010. "An economic evaluation of the war on cancer," Journal of Health Economics, Elsevier, vol. 29(3), pages 333-346, May.
    11. Shawn Cole & Xavier Gine & Jeremy Tobacman & Petia Topalova & Robert Townsend & James Vickery, 2013. "Barriers to Household Risk Management: Evidence from India," American Economic Journal: Applied Economics, American Economic Association, vol. 5(1), pages 104-135, January.
    12. Deepak Hegde & Bhaven Sampat, 2015. "Can Private Money Buy Public Science? Disease Group Lobbying and Federal Funding for Biomedical Research," Management Science, INFORMS, vol. 61(10), pages 2281-2298, October.
    13. Bronwyn H. Hall & Jacques Mairesse, 2024. "Explorations of Cumulative Advantage Using Data on French Physicists," NBER Working Papers 32285, National Bureau of Economic Research, Inc.
    14. Chad Syverson, 2011. "What Determines Productivity?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 326-365, June.
    15. David Atkin & Amit K. Khandelwal & Adam Osman, 2019. "Measuring Productivity: Lessons from Tailored Surveys and Productivity Benchmarking," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 444-449, May.
    16. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    17. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    18. Ruchir Agarwal & Patrick Gaule, 2020. "Invisible Geniuses: Could the Knowledge Frontier Advance Faster?," American Economic Review: Insights, American Economic Association, vol. 2(4), pages 409-424, December.
    19. Jena, Anupam B. & Philipson, Tomas J., 2008. "Cost-effectiveness analysis and innovation," Journal of Health Economics, Elsevier, vol. 27(5), pages 1224-1236, September.
    20. Paul Carrillo & Dave Donaldson & Dina Pomeranz & Monica Singhal, 2023. "Misallocation in Firm Production: A Nonparametric Analysis Using Procurement Lotteries," CESifo Working Paper Series 10485, CESifo.
    21. 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.
    22. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
    23. John Asker & Allan Collard-Wexler & Jan De Loecker, 2014. "Dynamic Inputs and Resource (Mis)Allocation," Journal of Political Economy, University of Chicago Press, vol. 122(5), pages 1013-1063.
    24. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    25. Ryan Hill & Carolyn Stein, 2025. "Race to the Bottom: Competition and Quality in Science," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 1111-1185.
    26. 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.
    27. William D. Nordhaus, 2004. "Schumpeterian Profits in the American Economy: Theory and Measurement," NBER Working Papers 10433, National Bureau of Economic Research, Inc.
    28. David Sraer & David Thesmar, 2023. "How to Use Natural Experiments to Estimate Misallocation," American Economic Review, American Economic Association, vol. 113(4), pages 906-938, April.
    29. Wossen, Tesfamicheal & Spielman, David J. & Alene, Arega D. & Abdoulaye, Tahirou, 2024. "Estimating seed demand in the presence of market frictions: Evidence from an auction experiment in Nigeria," Journal of Development Economics, Elsevier, vol. 167(C).
    30. Xavier Gabaix, 2009. "Power Laws in Economics and Finance," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 255-294, May.
    31. Amil Petrin & Jagadeesh Sivadasan, 2013. "Estimating Lost Output from Allocative Inefficiency, with an Application to Chile and Firing Costs," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 286-301, March.
    32. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
    33. Tomas Philipson & Darius Lakdawalla, 2001. "Medical Care Output and Productivity in the Nonprofit Sector," NBER Chapters, in: Medical Care Output and Productivity, pages 119-140, National Bureau of Economic Research, Inc.
    34. Scott Kim & Petra Moser, 2025. "Women in Science. Lessons From the Baby Boom," Econometrica, Econometric Society, vol. 93(5), pages 1521-1560, September.
    35. Ryan Decker & John Haltiwanger & Ron Jarmin & Javier Miranda, 2014. "The Role of Entrepreneurship in US Job Creation and Economic Dynamism," Journal of Economic Perspectives, American Economic Association, vol. 28(3), pages 3-24, Summer.
    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. Alpysbayeva, Dinara & Vanormelingen, Stijn, 2022. "Labor market rigidities and misallocation: Evidence from a natural experiment," Labour Economics, Elsevier, vol. 78(C).
    2. Simone Lenzu & Francesco Manaresi, 2019. "Sources and implications of resource misallocation: new evidence from firm-level marginal products and user costs," Questioni di Economia e Finanza (Occasional Papers) 485, Bank of Italy, Economic Research and International Relations Area.
    3. Lenzu, Simone & Manaresi, Francesco, 2018. "Do Marginal Products Differ from User Costs? Micro-Level Evidence from Italian Firms," Working Papers 276, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    4. Douglas Gollin & Christopher Udry, 2021. "Heterogeneity, Measurement Error, and Misallocation: Evidence from African Agriculture," Journal of Political Economy, University of Chicago Press, vol. 129(1), pages 1-80.
    5. Francesco Manaresi & Nicola Pierri, 2018. "Credit supply and productivity growth," Temi di discussione (Economic working papers) 1168, Bank of Italy, Economic Research and International Relations Area.
    6. Francesco Manaresi & Nicola Pierri, 2018. "Credit supply and productivity growth," BIS Working Papers 711, Bank for International Settlements.
    7. Francesco Manaresi & Mr. Nicola Pierri, 2019. "Credit Supply and Productivity Growth," IMF Working Papers 2019/107, International Monetary Fund.
    8. Kuosmanen, Natalia & Valmari, Nelli, 2023. "Renewal of Companies Through Product Switching," ETLA Working Papers 104, The Research Institute of the Finnish Economy.
    9. Brugués, Felipe & Brugués, Javier & Giambra, Samuele, 2024. "Political connections and misallocation of procurement contracts: Evidence from Ecuador," Journal of Development Economics, Elsevier, vol. 170(C).
    10. Mertens, Matthias & Mueller, Steffen, 2022. "The East-West German gap in revenue productivity:Just a tale of output prices?," Journal of Comparative Economics, Elsevier, vol. 50(3), pages 815-831.
    11. Luis Garicano & Claire Lelarge & John Van Reenen, 2016. "Firm Size Distortions and the Productivity Distribution: Evidence from France," American Economic Review, American Economic Association, vol. 106(11), pages 3439-3479, November.
    12. Amit Gandhi & Salvador Navarro & David Rivers, 2017. "How Heterogeneous is Productivity? A Comparison of Gross Output and Value Added," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 201727, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    13. Marijke J. D. Bos & Gonzague Vannoorenberghe, 2018. "Total factor productivity spillovers from trade reforms in India," Canadian Journal of Economics, Canadian Economics Association, vol. 51(2), pages 549-606, May.
    14. Aragón, Fernando M. & Restuccia, Diego & Rud, Juan Pablo, 2024. "Assessing misallocation in agriculture: Plots versus farms," Food Policy, Elsevier, vol. 128(C).
    15. Marco Bee & Julien Hambuckers, 2020. "Modeling multivariate operational losses via copula-based distributions with g-and-h marginals," DEM Working Papers 2020/3, Department of Economics and Management.
    16. Stiebale, Joel & Vencappa, Dev, 2018. "Acquisitions, markups, efficiency, and product quality: Evidence from India," Journal of International Economics, Elsevier, vol. 112(C), pages 70-87.
    17. Cusolito,Ana Paula & Lederman,Daniel & Pena,Jorge O., 2020. "The Effects of Digital-Technology Adoption on Productivity and Factor Demand : Firm-level Evidence from Developing Countries," Policy Research Working Paper Series 9333, The World Bank.
    18. Lucia S. Foster & Cheryl A. Grim & John Haltiwanger & Zoltan Wolf, 2017. "Macro and Micro Dynamics of Productivity: From Devilish Details to Insights," NBER Working Papers 23666, National Bureau of Economic Research, Inc.
    19. Maican, Florin & Orth, Matilda, 2021. "Determinants of economies of scope in retail," International Journal of Industrial Organization, Elsevier, vol. 75(C).
    20. G. Jacob Blackwood & Lucia S. Foster & Cheryl A. Grim & John Haltiwanger & Zoltan Wolf, 2021. "Macro and Micro Dynamics of Productivity: From Devilish Details to Insights," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(3), pages 142-172, July.

    More about this item

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • M5 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

    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:2510.24916. 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.