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Production function estimation using subjective expectations data

Author

Listed:
  • Agnes Norris Keiller

    (Institute for Fiscal Studies)

  • Áureo de Paula

    (Institute for Fiscal Studies)

  • John Van Reenen

    (Institute for Fiscal Studies)

Abstract

No abstract is available for this item.

Suggested Citation

  • Agnes Norris Keiller & Áureo de Paula & John Van Reenen, 2024. "Production function estimation using subjective expectations data," IFS Working Papers WCWP15/24, Institute for Fiscal Studies.
    • Handle: RePEc:ifs:ifsewp:cwp15/24
    as

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    File URL: https://ifs.org.uk/sites/default/files/2024-07/CWP1524-Production-function-estimation-using-subjective-expectations-data.pdf
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    References listed on IDEAS

    as
    1. de Roux, Nicolás & Eslava, Marcela & Franco, Santiago & Verhoogen, Eric, 2020. "Estimating Production Functions in Differentiated-Product Industries with Quantity Information and External Instruments," IZA Discussion Papers 14006, IZA Network @ LISER.
    2. Dominitz, Jeff & Sherman, Robert P., 2005. "Some Convergence Theory For Iterative Estimation Procedures With An Application To Semiparametric Estimation," Econometric Theory, Cambridge University Press, vol. 21(4), pages 838-863, August.
    3. Nicholas Bloom & Takafumi Kawakubo & Charlotte Chunming Meng & Paul Mizen & Rebecca Riley & Tatsuro Senga & John Van Reenen, 2021. "Do Well Managed Firms Make Better Forecasts?," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-18, Economic Statistics Centre of Excellence (ESCoE).
    4. 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.
    5. Catherine Buffington & Lucia Foster & Ron Jarmin & Scott Ohlmacher, 2016. "The Management and Organizational Practices Survey (MOPS): An Overview," Working Papers 16-28, Center for Economic Studies, U.S. Census Bureau.
    6. Catherine Buffington & Kenny Herrell & Scott Ohlmacher, 2016. "The Management and Organizational Practices Survey (MOPS): Cognitive Testing," Working Papers 16-53, Center for Economic Studies, U.S. Census Bureau.
    7. Nicholas Bloom & Takafumi Kawakubo & Charlotte Meng & Paul Mizen & Rebecca Riley & Tatsuro Senga & John Van Reenen, 2021. "Do Well Managed Firms Make Better Forecasts?," NBER Working Papers 29591, National Bureau of Economic Research, Inc.
    8. Nick Bloom & Philip Bunn & Paul Mizen & Pawel Smietanka & Greg Thwaites & Garry Young, 2017. "Tracking the views of British businesses: evidence form the Decision Maker Panel," Bank of England Quarterly Bulletin, Bank of England, vol. 57(2), pages 110-120.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Shigang Li & Jiawei Mo, 2026. "Production Function Estimation With Resource Misallocation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 41(3), pages 280-294, April.
    2. Timothy Besley & Peter John Lambert & Isabelle Michalski-Roland & John Van Reenen, 2026. "The equilibrium impact of credit frictions: evidence from default risk using firm-level data," CEP Discussion Papers dp2201, Centre for Economic Performance, LSE.
    3. Steve Bond & Agnes Norris Keiller & Áureo de Paula & John Van Reenen, 2026. "Leveraging Subjective Expectations for Production Functions," AEA Papers and Proceedings, American Economic Association, vol. 116, pages 469-474, May.
    4. Li, Ming, 2026. "Identification and estimation in a time-varying endogenous random coefficient panel data model," Journal of Econometrics, Elsevier, vol. 256(PA).

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