Estimating A Farm Group Model and Input Allocations Using Accountancy Data

dc.creatorGocht, Alexander
dc.creatorHeckelei, Thomas
dc.date2017-04-01T14:16:42Z
dc.date.accessioned2026-07-09T05:11:02Z
dc.descriptionThis paper proposes and applies an innovative estimation approach for farm group programming models using Generalised Maximum Entropy. The proposed set-up simultaneously determines calibrating cost function parameters and input allocations to production activities. The methodology is applied to Belgium FADN data of arable farms for which available input allocations allow to validate the estimation approach. Results outperform separate estimates of input allocations previously applied in the literature and this finding is robust with respect to support point design.
dc.identifierdoi:10.22004/ag.econ.61393
dc.identifierhttps://ageconsearch.umn.edu/record/61393/files/11703.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/61393
dc.identifier.urihttp://hdl.handle.net/123456789/560168
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/61393
dc.titleEstimating A Farm Group Model and Input Allocations Using Accountancy Data
dc.typeText

Archivos