Estimation of Commodity Specific Production Costs Using German Farm Accountancy Data

Sirak Teclemariam Bahta, Anja Berner and Frank Offermann

No 114233, 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland from European Association of Agricultural Economists

Abstract: A central problem in estimating per unit costs of production originates from the fact that most farms produce multiple outputs and standard farm-accounting data are only available at the whole-farm level. The seemingly unrelated regression (SUR) approach is used to estimate per unit production costs based on German farm accountancy data. Special emphasis is put on outlier detection prior to the estimation of production costs to increase the robustness of the results. Outlier observations are identified based on the Mahalanobis distance for each observation on the data set. It was observed that less negative cost coefficients are estimated after the exclusion of the outliers. The time series analysis of cost estimation based on SUR regression shows the costs of arable crops after 2004, affected by rising prices of fertilizer, seeds and energy, while the increase of livestock production costs after 2006 is attributed to feed costs.

Keywords: Agricultural; Finance (search for similar items in EconPapers)
Pages: 11
Date: 2011
New Economics Papers: this item is included in nep-agr and nep-eff
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://ageconsearch.umn.edu/record/114233/files/B ... 0Teclemariam_330.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:eaae11:114233

DOI: 10.22004/ag.econ.114233

Access Statistics for this paper

More papers in 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland from European Association of Agricultural Economists Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().