The instability of farm income. Empirical evidences on aggregation bias and heterogeneity among farm groups
Bio-based and Applied Economics
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Title |
The instability of farm income. Empirical evidences on aggregation bias and heterogeneity among farm groups
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Creator |
Severini, Simone; Università degli Studi della Tuscia
Tantari, Antonella; Università degli Studi della Tuscia Di Tommaso, Giuliano; Università degli Studi della Tuscia |
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Subject |
farm income; income instability and variability; aggregation bias; farm heterogeneity; risk management policies
Q12; G320; Q18 |
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Description |
This paper analyses the instability of farm income experienced by a constant sample of Italian farms over the period 2003-2012. It assesses the extent of the aggregation bias due to the use of aggregated vs. single farm data and estimates the level of farm income variability in several groups of farms for the whole period and for two sub-periods. Differences between groups and periods are assessed by means of non-parametric tests. Results suggest that analyses based on aggregated farm data are likely going to strongly underestimate the extent of income variability faced by farmers. Income variability levels differ among farm groups and have significantly increased over the considered time. This has policy implications regarding the risk management tools recently introduced within the Rural Development Policies and how these should be targeted on the farms that more need them.
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Publisher |
Bio-based and Applied Economics
Bio-based and Applied Economics |
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Contributor |
—
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Date |
2016-04-13
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Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion — |
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Format |
application/pdf
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Identifier |
http://www.fupress.net/index.php/bae/article/view/16367
http://www.fupress.net/index.php/bae/article/download/16367/17033 10.13128/BAE-16367 |
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Source |
Bio-based and Applied Economics; Vol 5, No 1 (2016); 63-81
Bio-based and Applied Economics; Vol 5, No 1 (2016); 63-81 2280-6172 2280-6180 |
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Language |
eng
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Relation |
10.13128/BAE-16367
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Rights |
The authors retain all rights to the original work without any restrictions.License for Published ContentsYou are free to copy, distribute and transmit the work, and to adapt the work. You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work).Licence scheme | Legal codeLicense for MetadataThis Journal published articles metadata are dedicated to the public domain by waiving all publisher's rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law.You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.Licence scheme | Legal code
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