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Cited by 702

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

TOTAL FACTOR PRODUCTIVITY ESTIMATION: A PRACTICAL REVIEW

Van Beveren, Ilke·2012·Journal of Economic Surveys

Abstract

Abstract This paper aims to provide empirical researchers with an overview of the methodological issues that arise when estimating total factor productivity at the establishment level, as well as of the existing (parametric and semi‐parametric) techniques designed to overcome them. Apart from the well‐known simultaneity and selection bias, attention is given to methodological issues that have emerged more recently and that are related to the use of deflated values of inputs and outputs (as opposed to quantities) in estimating productivity at the firm level, as well as to the endogeneity of product choice. In discussing the estimation procedures applied in the literature, attention is given to recent developments in the field. Using data on single‐product firms active in the Belgian food and beverages sector, the most commonly applied estimators are illustrated, allowing for comparison of the obtained productivity estimates by way of a simple evaluation exercise.

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Metadata

Authors
Van Beveren, I.
Venue
Journal of Economic Surveys
Publisher
Wiley
Published
2010-09-20
Volume
26
Issue
1
Pages
98-128
ISSN
  • 0950-0804 (ISSN-L)
  • 1467-6419
OpenAlex
W3121372586
Cited by
702
References
3
FWCI
42.59
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: TOTAL FACTOR PRODUCTIVITY ESTIMATION: A PRACTICAL REVIEW. https://app.cochat.ai/papers/10.1111/j.1467-6419.2010.00631.x
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Van Beveren, I. (2012). TOTAL FACTOR PRODUCTIVITY ESTIMATION: A PRACTICAL REVIEW. Journal of Economic Surveys. https://doi.org/10.1111/j.1467-6419.2010.00631.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.