Arbeitspapier
Identifying factor productivity from micro-data: The case of EU agriculture
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.
- Sprache
-
Englisch
- Erschienen in
-
Series: Discussion Paper ; No. 171
- Klassifikation
-
Wirtschaft
Estimation: General
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
- Thema
-
agricultural factor productivity
production function estimation
Farm Accountancy Data Network
Landwirtschaftliche Faktorproduktivität
Schätzung von Produktionsfunktionen
Testbetriebsnetz
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Petrick, Martin
Kloss, Mathias
- Ereignis
-
Veröffentlichung
- (wer)
-
Leibniz Institute of Agricultural Development in Transition Economies (IAMO)
- (wo)
-
Halle (Saale)
- (wann)
-
2018
- Handle
- URN
-
urn:nbn:de:gbv:3:2-90157
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Petrick, Martin
- Kloss, Mathias
- Leibniz Institute of Agricultural Development in Transition Economies (IAMO)
Entstanden
- 2018
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