000156104 001__ 156104
000156104 005__ 20180122230225.0
000156104 037__ $$a870-2016-60714
000156104 041__ $$aen_US
000156104 245__ $$aIdentifying Factor Productivity by Dynamic Panel Data and Control Function Approaches: A Comparative Evaluation for EU Agriculture
000156104 260__ $$c2013
000156104 269__ $$a2013
000156104 270__ $$mkloss@iamo.de$$pKloss,   Mathias
000156104 300__ $$a13
000156104 336__ $$aConference Paper/ Presentation
000156104 490__ $$aSchriftlicher Beitrag
000156104 490__ $$aA2
000156104 520__ $$aThe classical problem of agricultural productivity measurement has regained interest due to recent price hikes in world food markets. At the same time, there is a new methodological debate on the appropriate identification strategies for addressing endogeneity and collinearity problems in production function estimation. We examine the plausibility of alternative identification strategies for the case of agriculture and test two related, innovative estimators using farm-level panel datasets from seven EU countries. The control function and dynamic panel approaches provide attractive conceptual improvements over the received ‘within’ and duality models. Even so, empirical implementation of the conceptual sophistications built in these estimators 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, we find very low shadow prices for labour, land and fixed capital across countries.The production elasticity of materials is high, so that improving the availability of working capital is the most promising way to increase agricultural productivity.
000156104 542__ $$fLicense granted by Kerstin Oertel (k.oertel@agrar.hu-berlin.de) on 2013-09-03T08:20:54Z (GMT):

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000156104 650__ $$aProduction Economics
000156104 650__ $$aProductivity Analysis
000156104 6531_ $$aAgricultural factor productivity
000156104 6531_ $$aproduction function estimation
000156104 6531_ $$aEU
000156104 6531_ $$aFarm Accountancy Data Network
000156104 700__ $$aPetrick, Martin
000156104 700__ $$aKloss, Mathias
000156104 773__ $$d2013
000156104 8564_ $$s158893$$uhttp://ageconsearch.umn.edu/record/156104/files/A2-Petrick-Identifying_c.pdf
000156104 887__ $$ahttp://purl.umn.edu/156104
000156104 909CO $$ooai:ageconsearch.umn.edu:156104$$pGLOBAL_SET
000156104 912__ $$nSubmitted by Kerstin Oertel (k.oertel@agrar.hu-berlin.de) on 2013-09-03T08:25:24Z
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  Previous issue date: 2013
000156104 982__ $$gGerman Association of Agricultural Economists (GEWISOLA)>53rd Annual Conference, Berlin, Germany, September 25-27, 2013
000156104 980__ $$a870