Identifying factor productivity from micro-data: the case of EU agriculture

Martin Petrick and Mathias Kloss ()

No 271870, IAMO Discussion Papers from Institute of Agricultural Development in Transition Economies (IAMO)

Abstract: We examine the plausibility of four established and innovative identification strategies for agricultural production functions using farm-level panel datasets from five EU countries. Newly suggested proxy and dynamic panel approaches provide attractive conceptual improvements over received Within and duality models. Even so, empirical implementation of such advancements does not always live up to expectations. This is particularly true for the dynamic panel estimator, which mostly failed to identify reasonable elasticities for the (quasi-) fixed factors. Less demanding proxy approaches represent an interesting alternative for agricultural applications. In our EU sample, high production elasticities for materials prevail. Hence, improving the availability of working capital is the most promising way to increase agricultural productivity.

Keywords: Agricultural Finance; Productivity Analysis (search for similar items in EconPapers)
Pages: 46
Date: 2018-04-20
New Economics Papers: this item is included in nep-agr and nep-eff
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Citations: View citations in EconPapers (1)

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Related works:
Working Paper: Identifying Factor Productivity from Micro-data: The case of EU agriculture (2013)
Working Paper: Identifying Factor Productivity from Micro-data: The case of EU agriculture (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:iamodp:271870

DOI: 10.22004/ag.econ.271870

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