Robust Productivity Analysis: An application to German FADN data

Autor:	Kloss, Mathias, Kirschstein, Thomas, Liebscher, Steffen, Petrick, Martin
Rok vydání:	2019
Předmět:	Economics - General Economics
Druh dokumentu:	Working Paper
Popis:	Sources of bias in empirical studies can be separated in those coming from the modelling domain (e.g. multicollinearity) and those coming from outliers. We propose a two-step approach to counter both issues. First, by decontaminating data with a multivariate outlier detection procedure and second, by consistently estimating parameters of the production function. We apply this approach to a panel of German field crop data. Results show that the decontamination procedure detects multivariate outliers. In general, multivariate outlier control delivers more reasonable results with a higher precision in the estimation of some parameters and seems to mitigate the effects of multicollinearity. Comment: 27 pages, 5 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1902.00678 Zobrazit plný text záznamu View this record from Arxiv