The application of robust regression to a production function comparison
Open access
Datum
2007Typ
- Working Paper
ETH Bibliographie
yes
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Abstract
The adequate representation of crop response functions is crucial for agri-environmental modeling and analysis. So far, the evaluation of such functions focused on the comparison of different functional forms. The perspective is expanded in this article by considering an alternative regression method. This is motivated by the fact that exceptional crop yield observations (outliers) can cause misleading results if least squares regression is applied. We show that such outliers are adequately treated if robust regression is used instead. The example of simulated Swiss corn yields shows that the use of robust regression narrows the range of optimal input levels across different functional forms and reduces potential costs of misspecification. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-a-005830180Publikationsstatus
publishedZeitschrift / Serie
IED working paperBand
Verlag
ETH, Swiss Federal Institute of Technology, IED, Institute for Environmental DecisionsThema
MODELLRECHNUNG, MODELLE UND SIMULATION IN LANDWIRTSCHAFT UND TIERPRODUKTION; production function estimation; LANDWIRTSCHAFTLICHE BETRIEBSMITTEL (LANDWIRTSCHAFTLICHE BETRIEBSFÜHRUNG); MAIZE (CROP PRODUCTION); MAIS (PFLANZENBAU); CORRELATION ANALYSIS + REGRESSION ANALYSIS (MULTIVARIATE STATISTICS); SWITZERLAND (CENTRAL EUROPE). SWISS CONFEDERATION; SCHWEIZ (MITTELEUROPA). SCHWEIZERISCHE EIDGENOSSENSCHAFT; MATHEMATICAL MODELING, MODELS AND SIMULATION IN AGRICULTURE AND ANIMAL PRODUCTION; production function comparison; ROBUSTE STATISTIK (PARAMETRISCHE STATISTIK); AGRICULTURAL MEANS OF PRODUCTION (AGRICULTURAL MANAGEMENT); ROBUST STATISTICS (PARAMETRIC STATISTICS); robust regression; crop response; KORRELATIONSANALYSE + REGRESSIONSANALYSE (MULTIVARIATE STATISTIK)Organisationseinheit
02723 - Institut für Umweltentscheidungen / Institute for Environmental Decisions03327 - Lehmann, Bernard
Zugehörige Publikationen und Daten
Is part of: https://doi.org/10.3929/ethz-b-000010430
ETH Bibliographie
yes
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