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Proxy Variable Estimation of Multiproduct Production Functions

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  • Emir Malikov
  • Gudbrand Lien

Abstract

Productivity studies that use proxy variable estimators routinely specify single‐output production functions despite most firms producing multiple outputs. This is usually accomplished by aggregating the firm's outputs using total revenue. Such a formulation rarely provides an adequate representation of the multiproduct firm's production: (a) it cannot identify technological cross‐output trade‐offs along the production possibilities frontier, and (b) it unrealistically assumes perfect output substitutability that, if misspecified, produces biased estimates. We develop a new methodology for estimating multiproduct production functions that addresses these limitations without requiring information beyond that which is available in most datasets and showcase it on Norwegian dairy‐and‐beef farming.

Suggested Citation

  • Emir Malikov & Gudbrand Lien, 2021. "Proxy Variable Estimation of Multiproduct Production Functions," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1878-1902, October.
  • Handle: RePEc:wly:ajagec:v:103:y:2021:i:5:p:1878-1902
    DOI: 10.1111/ajae.12215
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    Cited by:

    1. Emir Malikov & Shunan Zhao & Jingfang Zhang, 2023. "A System Approach to Structural Identification of Production Functions with Multi-Dimensional Productivity," Papers 2302.13429, arXiv.org.

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